test pyuvc

- Introduced VideoPlayer class to handle local video playback, emitting frames via frame_ready signal.
- Updated MainWindow to switch between camera and video sources, integrating video playback controls.
- Enhanced AppMenuBar with options to open video files and manage inference models.
- Implemented BboxOverlay for displaying detection results on video frames.
- Added InferenceManager to manage YOLO inference in a separate process, with error handling and restart logic.
- Created tests for BboxOverlay and InferenceManager to ensure functionality and robustness.
- Updated pyproject.toml to include optional dependencies for inference support.

.gitignore

@@ -12,6 +12,9 @@ __pycache__/
 venv/
 env/
 
+# Log files
+
+
 # Local/runtime data
 captures/photos/*
 captures/videos/*
@@ -29,4 +32,8 @@ captures/videos/*
 runs/
 *.onnx
 *.engine
-*.log
+*.log
+
+
+
+!logs/*.log

app/camera/camera_enumerator.py

@@ -0,0 +1,132 @@
+"""Camera enumeration — discovers available video input devices."""
+
+from __future__ import annotations
+
+import logging
+from dataclasses import dataclass, field
+
+from PySide6.QtMultimedia import QCameraDevice, QMediaDevices, QVideoFrameFormat
+
+logger = logging.getLogger(__name__)
+
+# Map Qt pixel format enum → human-readable string
+_PIXEL_FORMAT_NAMES: dict[QVideoFrameFormat.PixelFormat, str] = {
+    QVideoFrameFormat.PixelFormat.Format_BGRA8888:  "BGRA",
+    QVideoFrameFormat.PixelFormat.Format_BGRX8888:  "BGRX",
+    QVideoFrameFormat.PixelFormat.Format_ABGR8888:  "ABGR",
+    QVideoFrameFormat.PixelFormat.Format_ARGB8888:  "ARGB",
+    QVideoFrameFormat.PixelFormat.Format_RGBA8888:  "RGBA",
+    QVideoFrameFormat.PixelFormat.Format_RGBX8888:  "RGBX",
+    QVideoFrameFormat.PixelFormat.Format_YUV420P:   "YUV420P",
+    QVideoFrameFormat.PixelFormat.Format_YUV422P:   "YUV422P",
+    QVideoFrameFormat.PixelFormat.Format_NV12:      "NV12",
+    QVideoFrameFormat.PixelFormat.Format_NV21:      "NV21",
+    QVideoFrameFormat.PixelFormat.Format_UYVY:      "UYVY",
+    QVideoFrameFormat.PixelFormat.Format_YUYV:      "YUY2",
+    QVideoFrameFormat.PixelFormat.Format_Jpeg:      "MJPG",
+    QVideoFrameFormat.PixelFormat.Format_Y8:        "GRAY8",
+    QVideoFrameFormat.PixelFormat.Format_Y16:       "GRAY16",
+}
+
+
+def pixel_format_name(fmt: QVideoFrameFormat.PixelFormat) -> str:
+    """Return a short human-readable name for a Qt pixel format."""
+    return _PIXEL_FORMAT_NAMES.get(fmt, f"fmt_{fmt.value if hasattr(fmt, 'value') else fmt}")
+
+
+@dataclass
+class CameraFormat:
+    """One supported video format entry for a camera device."""
+
+    width: int
+    height: int
+    max_fps: float
+    pixel_format: str       # e.g. "MJPG", "YUY2", "NV12", "BGRA"
+
+    def __str__(self) -> str:
+        return f"{self.pixel_format:6s} {self.width}x{self.height} @ {self.max_fps:.1f} fps"
+
+
+@dataclass
+class CameraInfo:
+    """Lightweight descriptor of a detected camera."""
+
+    device: QCameraDevice
+    name: str
+    id: str
+    formats: list[CameraFormat] = field(default_factory=list)
+
+    def __str__(self) -> str:
+        return f"{self.name} [{self.id}]"
+
+
+class CameraEnumerator:
+    """Discovers available video input devices via QMediaDevices."""
+
+    @staticmethod
+    def list_cameras() -> list[CameraInfo]:
+        """Return all available camera devices with their supported formats."""
+        devices = QMediaDevices.videoInputs()
+        cameras: list[CameraInfo] = []
+
+        for device in devices:
+            formats: list[CameraFormat] = []
+            for qfmt in device.videoFormats():
+                res = qfmt.resolution()
+                formats.append(CameraFormat(
+                    width=res.width(),
+                    height=res.height(),
+                    max_fps=qfmt.maxFrameRate(),
+                    pixel_format=pixel_format_name(qfmt.pixelFormat()),
+                ))
+
+            # deduplicate; sort: largest area first, then fps descending
+            seen: set[tuple[int, int, float, str]] = set()
+            unique: list[CameraFormat] = []
+            for f in sorted(
+                formats,
+                key=lambda x: (x.width * x.height, x.max_fps),
+                reverse=True,
+            ):
+                key = (f.width, f.height, f.max_fps, f.pixel_format)
+                if key not in seen:
+                    seen.add(key)
+                    unique.append(f)
+
+            cam_id = CameraEnumerator._device_id(device)
+            cameras.append(CameraInfo(
+                device=device,
+                name=device.description(),
+                id=cam_id,
+                formats=unique,
+            ))
+
+        logger.info("Cameras found: %d", len(cameras))
+        for idx, cam in enumerate(cameras):
+            logger.info("  [%d] %s (id: %s)", idx, cam.name, cam.id)
+            for fmt in cam.formats:
+                logger.info("        %s", fmt)
+
+        return cameras
+
+    @staticmethod
+    def default_camera() -> CameraInfo | None:
+        """Return the system default camera, or None if no camera is available."""
+        device = QMediaDevices.defaultVideoInput()
+        if device.isNull():
+            return None
+
+        default_id = CameraEnumerator._device_id(device)
+        for cam in CameraEnumerator.list_cameras():
+            if cam.id == default_id:
+                return cam
+
+        cameras = CameraEnumerator.list_cameras()
+        return cameras[0] if cameras else None
+
+    @staticmethod
+    def _device_id(device: QCameraDevice) -> str:
+        raw = device.id()
+        if hasattr(raw, "toStdString"):
+            return raw.toStdString()
+        return raw.data().decode("utf-8", errors="replace")

app/camera/camera_service.py

@@ -0,0 +1,229 @@
+"""Camera Service — manages QCamera lifecycle and frame acquisition."""
+
+from __future__ import annotations
+
+import logging
+import platform
+
+from PySide6.QtCore import QObject, Signal
+from PySide6.QtMultimedia import (
+    QCamera,
+    QMediaCaptureSession,
+    QVideoFrame,
+    QVideoSink,
+)
+
+from app.camera.camera_enumerator import CameraFormat, CameraInfo, pixel_format_name
+
+logger = logging.getLogger(__name__)
+
+
+class CameraService(QObject):
+    """
+    Manages camera initialisation, configuration and frame delivery.
+
+    Emits:
+        frame_ready(QVideoFrame)  — new frame available from the camera
+        camera_started()          — camera successfully opened and streaming
+        camera_stopped()          — camera stopped (clean shutdown)
+        camera_error(str)         — camera error description
+        format_changed(float)     — actual FPS after format was applied
+    """
+
+    frame_ready = Signal(QVideoFrame)
+    camera_started = Signal()
+    camera_stopped = Signal()
+    camera_error = Signal(str)
+    format_changed = Signal(float)
+
+    def __init__(self, parent: QObject | None = None) -> None:
+        super().__init__(parent)
+
+        self._camera: QCamera | None = None
+        self._session = QMediaCaptureSession(self)
+        self._sink = QVideoSink(self)
+        self._current_info: CameraInfo | None = None
+        self._session_logged: bool = False
+
+        # Desired format — applied on every (re)start
+        self._desired_fmt: CameraFormat | None = None
+        self._desired_fmt = CameraFormat(width=1280, height=720, max_fps=30, pixel_format="NV12")
+
+        self._session.setVideoSink(self._sink)
+        self._sink.videoFrameChanged.connect(self._on_frame)
+
+    # ------------------------------------------------------------------
+    # Public API
+    # ------------------------------------------------------------------
+
+    def start(self, camera_info: CameraInfo) -> None:
+        """Start streaming from the given camera device."""
+        self._stop_camera()
+
+        self._current_info = camera_info
+        self._camera = QCamera(camera_info.device, self)
+        self._camera.errorOccurred.connect(self._on_error)
+        self._camera.activeChanged.connect(self._on_active_changed)
+
+        self._session.setCamera(self._camera)
+        self._apply_format()
+        self._camera.start()
+        logger.info("Camera start requested: %s", camera_info.name)
+
+    def stop(self) -> None:
+        """Stop the current camera and forget the device."""
+        self._stop_camera()
+        self._current_info = None
+
+    def reconnect(self) -> None:
+        """Restart the current camera (e.g. after an error or disconnect)."""
+        if self._current_info is not None:
+            logger.info("Reconnecting camera: %s", self._current_info.name)
+            self.start(self._current_info)
+        else:
+            logger.warning("Reconnect requested but no camera was previously started")
+
+    def set_format(self, fmt: CameraFormat) -> None:
+        """
+        Request a specific video format (resolution + fps + pixel format).
+        Restarts the camera to apply the change reliably.
+        """
+        self._desired_fmt = fmt
+        if self._current_info is not None:
+            logger.info(
+                "Format change: %dx%d @ %.4g fps (%s) — restarting camera",
+                fmt.width, fmt.height, fmt.max_fps, fmt.pixel_format,
+            )
+            self.start(self._current_info)
+
+    @property
+    def is_active(self) -> bool:
+        return self._camera is not None and self._camera.isActive()
+
+    @property
+    def current_camera(self) -> CameraInfo | None:
+        return self._current_info
+
+    @property
+    def qt_camera(self) -> QCamera | None:
+        """Expose underlying QCamera for settings dialog."""
+        return self._camera
+
+    def video_sink(self) -> QVideoSink:
+        return self._sink
+
+    def capture_session(self) -> QMediaCaptureSession:
+        return self._session
+
+    # ------------------------------------------------------------------
+    # Private helpers
+    # ------------------------------------------------------------------
+
+    def _stop_camera(self) -> None:
+        if self._camera is not None:
+            self._camera.stop()
+            self._camera.errorOccurred.disconnect()
+            self._camera.activeChanged.disconnect()
+            self._camera = None
+            logger.debug("Camera stopped (internal)")
+
+    def _apply_format(self) -> None:
+        """Select and apply the best matching QCameraFormat before start()."""
+        if self._camera is None or self._current_info is None:
+            return
+
+        best = None
+        best_score = -1
+
+        desired = self._desired_fmt
+
+        for qfmt in self._current_info.device.videoFormats():
+            res = qfmt.resolution()
+            w, h = res.width(), res.height()
+            f = qfmt.maxFrameRate()
+            pf = pixel_format_name(qfmt.pixelFormat())
+
+            if desired is not None:
+                # Exact match preferred
+                exact_res = int(w == desired.width and h == desired.height) * 1000
+                exact_fps = int(abs(f - desired.max_fps) < 0.5) * 100
+                exact_pf  = int(pf == desired.pixel_format) * 500
+                area_diff = abs(w * h - desired.width * desired.height)
+                score = exact_res + exact_fps + exact_pf - area_diff
+            else:
+                # No preference — pick largest area, then highest fps
+                score = w * h + int(f)
+
+            if score > best_score:
+                best_score = score
+                best = qfmt
+
+        if best is not None:
+            self._camera.setCameraFormat(best)
+            res = best.resolution()
+            pf = pixel_format_name(best.pixelFormat())
+            logger.info(
+                "Camera format requested: %s %dx%d @ %.4g fps",
+                pf, res.width(), res.height(), best.maxFrameRate(),
+            )
+
+    def _log_actual_format(self) -> None:
+        """Log the format the camera actually started with and emit format_changed."""
+        if self._camera is None:
+            return
+        fmt = self._camera.cameraFormat()
+        res = fmt.resolution()
+        actual_fps = fmt.maxFrameRate()
+        pf = pixel_format_name(fmt.pixelFormat())
+
+        logger.info(
+            "Camera format ACTUAL: %s %dx%d @ %.4g fps",
+            pf, res.width(), res.height(), actual_fps,
+        )
+        if self._desired_fmt is not None:
+            d = self._desired_fmt
+            if abs(actual_fps - d.max_fps) > 0.5:
+                logger.warning(
+                    "Requested %.4g fps but camera delivering %.4g fps",
+                    d.max_fps, actual_fps,
+                )
+            if res.width() != d.width or res.height() != d.height:
+                logger.warning(
+                    "Requested %dx%d but camera delivering %dx%d",
+                    d.width, d.height, res.width(), res.height(),
+                )
+        self.format_changed.emit(actual_fps)
+
+    def _log_qt_backend(self) -> None:
+        """Log the Qt multimedia backend in use (once per session)."""
+        try:
+            system = platform.system()
+            backend = {
+                "Darwin":  "AVFoundation",
+                "Windows": "Media Foundation / DirectShow",
+                "Linux":   "GStreamer / V4L2",
+            }.get(system, system)
+            logger.info("Qt multimedia backend: %s", backend)
+        except Exception:
+            pass
+
+    def _on_frame(self, frame: QVideoFrame) -> None:
+        if frame.isValid():
+            self.frame_ready.emit(frame)
+
+    def _on_error(self, error: QCamera.Error, error_string: str) -> None:
+        logger.error("Camera error %s: %s", error, error_string)
+        self.camera_error.emit(error_string)
+
+    def _on_active_changed(self, active: bool) -> None:
+        if active:
+            name = self._current_info.name if self._current_info else "?"
+            if not self._session_logged:
+                self._log_qt_backend()
+                self._session_logged = True
+            logger.info("Camera active: %s", name)
+            self._log_actual_format()
+            self.camera_started.emit()
+        else:
+            logger.info("Camera inactive")
+            self.camera_stopped.emit()

app/camera/uvc/__init__.py

@@ -0,0 +1,48 @@
+"""UVC camera controls — platform-aware factory."""
+
+from __future__ import annotations
+
+import logging
+import platform
+
+from app.camera.uvc.base import UvcControllerBase, UvcParam, UvcParamInfo
+
+logger = logging.getLogger(__name__)
+
+
+def make_uvc_controller(device_name: str) -> UvcControllerBase:
+    """
+    Return the best available UVC controller for the current platform.
+
+    Falls back to NullUvcController if the required native library is absent.
+    """
+    system = platform.system()
+
+    if system == "Windows":
+        try:
+            from app.camera.uvc.windows import WindowsUvcController  # noqa: PLC0415
+            ctrl = WindowsUvcController(device_name)
+            logger.info("UVC: Windows controller (duvc-ctl) loaded for '%s'", device_name)
+            return ctrl
+        except ImportError:
+            logger.warning(
+                "UVC: duvc-ctl not installed — install with: pip install duvc-ctl"
+            )
+    elif system == "Darwin":
+        try:
+            from app.camera.uvc.macos import MacUvcController  # noqa: PLC0415
+            ctrl = MacUvcController(device_name)
+            logger.info("UVC: macOS controller loaded for '%s'", device_name)
+            return ctrl
+        except ImportError:
+            logger.warning(
+                "UVC: pyuvc not installed — UVC controls unavailable on macOS"
+            )
+    else:
+        logger.warning("UVC: platform '%s' not supported — controls unavailable", system)
+
+    from app.camera.uvc.stub import NullUvcController  # noqa: PLC0415
+    return NullUvcController()
+
+
+__all__ = ["make_uvc_controller", "UvcControllerBase", "UvcParam", "UvcParamInfo"]

app/camera/uvc/base.py

@@ -0,0 +1,77 @@
+"""UVC controller abstract base class."""
+
+from __future__ import annotations
+
+from abc import ABC, abstractmethod
+from dataclasses import dataclass
+from enum import Enum, auto
+
+
+class UvcParam(Enum):
+    """UVC video proc amp controls supported by the ELP camera."""
+    BRIGHTNESS = auto()
+    CONTRAST = auto()
+    SATURATION = auto()
+    HUE = auto()
+    SHARPNESS = auto()
+    GAMMA = auto()
+    WHITE_BALANCE = auto()
+    BACKLIGHT_COMPENSATION = auto()
+    EXPOSURE = auto()
+
+
+@dataclass
+class UvcParamInfo:
+    """Range and current value of a single UVC control."""
+    param: UvcParam
+    supported: bool
+    minimum: int = 0
+    maximum: int = 100
+    default: int = 50
+    current: int = 50
+    step: int = 1
+    auto_supported: bool = False
+    auto_enabled: bool = False
+
+
+class UvcControllerBase(ABC):
+    """
+    Abstract interface for platform-specific UVC camera controls.
+
+    All set_* methods are best-effort: if a control is unsupported the
+    call should silently do nothing (log at DEBUG level).
+    """
+
+    @abstractmethod
+    def open(self, device_name: str) -> bool:
+        """Open connection to the named camera device. Returns True on success."""
+
+    @abstractmethod
+    def close(self) -> None:
+        """Release the camera device handle."""
+
+    @abstractmethod
+    def is_open(self) -> bool:
+        """Return True if the device is currently open."""
+
+    @abstractmethod
+    def get_param_info(self, param: UvcParam) -> UvcParamInfo:
+        """Return range + current value for the given control."""
+
+    @abstractmethod
+    def get_all_params(self) -> list[UvcParamInfo]:
+        """Return info for all known UVC controls."""
+
+    @abstractmethod
+    def set_value(self, param: UvcParam, value: int) -> bool:
+        """
+        Set a control to an integer value.
+        Returns True if the call succeeded.
+        """
+
+    @abstractmethod
+    def set_auto(self, param: UvcParam, enabled: bool) -> bool:
+        """
+        Enable/disable auto mode for a control (e.g. auto white balance).
+        Returns True if supported and the call succeeded.
+        """

app/camera/uvc/macos.py

@@ -0,0 +1,172 @@
+"""macOS UVC controller — backed by pyuvc (libuvc bindings)."""
+
+from __future__ import annotations
+
+import logging
+
+from app.camera.uvc.base import UvcControllerBase, UvcParam, UvcParamInfo
+from app.camera.uvc.stub import NullUvcController
+
+logger = logging.getLogger(__name__)
+
+# pyuvc provides access to UVC controls via libuvc.
+# Install: pip install pyuvc  (requires libusb + libjpeg-turbo via brew)
+#
+# If pyuvc is not installed, fall back silently to NullUvcController.
+try:
+    import uvc  # type: ignore[import-untyped]
+    _PYUVC_AVAILABLE = True
+except ImportError:
+    _PYUVC_AVAILABLE = False
+    logger.debug("pyuvc not available — macOS UVC controls disabled")
+
+
+# Map UvcParam → pyuvc control name string
+_CONTROL_NAME: dict[UvcParam, str] = {
+    UvcParam.BRIGHTNESS:             "Brightness",
+    UvcParam.CONTRAST:               "Contrast",
+    UvcParam.SATURATION:             "Saturation",
+    UvcParam.HUE:                    "Hue",
+    UvcParam.SHARPNESS:              "Sharpness",
+    UvcParam.GAMMA:                  "Gamma",
+    UvcParam.WHITE_BALANCE:          "White Balance temperature",
+    UvcParam.BACKLIGHT_COMPENSATION: "Backlight Compensation",
+    UvcParam.EXPOSURE:               "Absolute Exposure Time",
+}
+
+
+class MacUvcController(UvcControllerBase):
+    """
+    UVC camera controls on macOS via pyuvc / libuvc.
+
+    pyuvc: https://github.com/pupil-labs/pyuvc
+    Install: pip install pyuvc  (requires: brew install libusb jpeg-turbo)
+    """
+
+    def __init__(self, device_name: str) -> None:
+        if not _PYUVC_AVAILABLE:
+            raise ImportError("pyuvc not installed")
+        self._device_name = device_name
+        self._cap: object | None = None
+        self._controls: dict[str, object] = {}
+
+    # ------------------------------------------------------------------
+    # Lifecycle
+    # ------------------------------------------------------------------
+
+    def open(self, device_name: str) -> bool:
+        self.close()
+        if not _PYUVC_AVAILABLE:
+            return False
+        try:
+            device_list = uvc.device_list()
+            target = None
+            for d in device_list:
+                if device_name.lower() in d.get("name", "").lower():
+                    target = d
+                    break
+            if target is None and device_list:
+                target = device_list[0]
+                logger.warning(
+                    "UVC: camera '%s' not found by name, using '%s'",
+                    device_name, target.get("name"),
+                )
+            if target is None:
+                logger.warning("UVC: no UVC devices found on macOS")
+                return False
+
+            self._cap = uvc.Capture(target["uid"])
+            # Index controls by name for fast lookup
+            self._controls = {c.display_name: c for c in self._cap.controls}
+            logger.info(
+                "UVC: opened '%s', controls: %s",
+                target.get("name"), list(self._controls.keys()),
+            )
+            return True
+        except Exception as exc:
+            logger.warning("UVC macOS open failed: %s", exc)
+            self._cap = None
+            return False
+
+    def close(self) -> None:
+        if self._cap is not None:
+            try:
+                self._cap.close()
+            except Exception:
+                pass
+            self._cap = None
+            self._controls.clear()
+
+    def is_open(self) -> bool:
+        return self._cap is not None
+
+    # ------------------------------------------------------------------
+    # Query
+    # ------------------------------------------------------------------
+
+    def get_param_info(self, param: UvcParam) -> UvcParamInfo:
+        ctrl_name = _CONTROL_NAME.get(param)
+        if ctrl_name is None or ctrl_name not in self._controls:
+            return UvcParamInfo(param=param, supported=False)
+        try:
+            ctrl = self._controls[ctrl_name]
+            auto_supported = hasattr(ctrl, "auto_mode")
+            auto_enabled = bool(ctrl.auto_mode) if auto_supported else False
+            return UvcParamInfo(
+                param=param,
+                supported=True,
+                minimum=int(ctrl.min_val),
+                maximum=int(ctrl.max_val),
+                default=int(ctrl.def_val),
+                current=int(ctrl.value),
+                step=int(getattr(ctrl, "step", 1)),
+                auto_supported=auto_supported,
+                auto_enabled=auto_enabled,
+            )
+        except Exception as exc:
+            logger.debug("UVC get_param_info(%s): %s", param.name, exc)
+            return UvcParamInfo(param=param, supported=False)
+
+    def get_all_params(self) -> list[UvcParamInfo]:
+        return [self.get_param_info(p) for p in UvcParam]
+
+    # ------------------------------------------------------------------
+    # Set
+    # ------------------------------------------------------------------
+
+    def set_value(self, param: UvcParam, value: int) -> bool:
+        ctrl_name = _CONTROL_NAME.get(param)
+        if ctrl_name is None or ctrl_name not in self._controls:
+            return False
+        try:
+            self._controls[ctrl_name].value = value
+            logger.debug("UVC set %s = %d", param.name, value)
+            return True
+        except Exception as exc:
+            logger.warning("UVC set_value(%s, %d): %s", param.name, value, exc)
+            return False
+
+    def set_auto(self, param: UvcParam, enabled: bool) -> bool:
+        ctrl_name = _CONTROL_NAME.get(param)
+        if ctrl_name is None or ctrl_name not in self._controls:
+            return False
+        try:
+            ctrl = self._controls[ctrl_name]
+            if hasattr(ctrl, "auto_mode"):
+                ctrl.auto_mode = enabled
+                logger.debug("UVC auto %s = %s", param.name, enabled)
+                return True
+            return False
+        except Exception as exc:
+            logger.warning("UVC set_auto(%s, %s): %s", param.name, enabled, exc)
+            return False
+
+
+def make_mac_uvc_controller(device_name: str) -> UvcControllerBase:
+    """Factory: returns MacUvcController or NullUvcController if pyuvc absent."""
+    if not _PYUVC_AVAILABLE:
+        return NullUvcController()
+    ctrl = MacUvcController(device_name)
+    if ctrl.open(device_name):
+        return ctrl
+    return NullUvcController()

app/camera/uvc/stub.py

@@ -0,0 +1,43 @@
+"""Null (no-op) UVC controller — used when no native library is available."""
+
+from __future__ import annotations
+
+import logging
+
+from app.camera.uvc.base import UvcControllerBase, UvcParam, UvcParamInfo
+
+logger = logging.getLogger(__name__)
+
+
+class NullUvcController(UvcControllerBase):
+    """
+    Fallback controller that reports all controls as unsupported.
+
+    Used on platforms where no UVC library is installed or when device
+    enumeration fails.
+    """
+
+    def open(self, device_name: str) -> bool:  # noqa: ARG002
+        return False
+
+    def close(self) -> None:
+        pass
+
+    def is_open(self) -> bool:
+        return False
+
+    def get_param_info(self, param: UvcParam) -> UvcParamInfo:
+        return UvcParamInfo(param=param, supported=False)
+
+    def get_all_params(self) -> list[UvcParamInfo]:
+        return [UvcParamInfo(param=p, supported=False) for p in UvcParam]
+
+    def set_value(self, param: UvcParam, value: int) -> bool:  # noqa: ARG002
+        logger.debug("NullUvcController: set_value ignored (%s=%d)", param.name, value)
+        return False
+
+    def set_auto(self, param: UvcParam, enabled: bool) -> bool:  # noqa: ARG002
+        logger.debug(
+            "NullUvcController: set_auto ignored (%s, auto=%s)", param.name, enabled
+        )
+        return False

app/camera/uvc/windows.py

@@ -0,0 +1,175 @@
+"""Windows UVC controller — backed by duvc-ctl (DirectShow)."""
+
+from __future__ import annotations
+
+import logging
+
+import duvc_ctl as duvc  # type: ignore[import-untyped]  # noqa: PLC0415 (lazy import)
+
+from app.camera.uvc.base import UvcControllerBase, UvcParam, UvcParamInfo
+
+logger = logging.getLogger(__name__)
+
+# Map our UvcParam → duvc_ctl VidProp string name
+_VIDPROP: dict[UvcParam, str] = {
+    UvcParam.BRIGHTNESS:             "brightness",
+    UvcParam.CONTRAST:               "contrast",
+    UvcParam.SATURATION:             "saturation",
+    UvcParam.HUE:                    "hue",
+    UvcParam.SHARPNESS:              "sharpness",
+    UvcParam.GAMMA:                  "gamma",
+    UvcParam.WHITE_BALANCE:          "white_balance",
+    UvcParam.BACKLIGHT_COMPENSATION: "backlight_compensation",
+}
+
+# Map UvcParam → duvc_ctl CamProp string for camera-side controls
+_CAMPROP: dict[UvcParam, str] = {
+    UvcParam.EXPOSURE: "exposure",
+}
+
+
+class WindowsUvcController(UvcControllerBase):
+    """
+    UVC camera controls on Windows via duvc-ctl (DirectShow).
+
+    duvc-ctl docs: https://allanhanan.github.io/duvc-ctl/
+    """
+
+    def __init__(self, device_name: str) -> None:
+        self._device_name = device_name
+        self._cam: duvc.CameraController | None = None
+        self._supported: dict[UvcParam, bool] = {}
+
+    # ------------------------------------------------------------------
+    # Lifecycle
+    # ------------------------------------------------------------------
+
+    def open(self, device_name: str) -> bool:
+        self.close()
+        try:
+            devices = duvc.list_devices()
+            target = None
+            for d in devices:
+                if device_name.lower() in d.name.lower() or d.name.lower() in device_name.lower():
+                    target = d
+                    break
+            if target is None and devices:
+                target = devices[0]  # fallback to first device
+                logger.warning(
+                    "UVC: camera '%s' not found by name, using '%s'",
+                    device_name, target.name,
+                )
+
+            if target is None:
+                logger.warning("UVC: no devices found on Windows")
+                return False
+
+            self._cam = duvc.CameraController(target)
+            self._cam.__enter__()
+            self._refresh_supported()
+            logger.info("UVC: opened device '%s'", target.name)
+            return True
+        except Exception as exc:
+            logger.warning("UVC: failed to open device: %s", exc)
+            self._cam = None
+            return False
+
+    def close(self) -> None:
+        if self._cam is not None:
+            try:
+                self._cam.__exit__(None, None, None)
+            except Exception:
+                pass
+            self._cam = None
+            self._supported.clear()
+
+    def is_open(self) -> bool:
+        return self._cam is not None
+
+    # ------------------------------------------------------------------
+    # Query
+    # ------------------------------------------------------------------
+
+    def get_param_info(self, param: UvcParam) -> UvcParamInfo:
+        if not self.is_open() or not self._supported.get(param, False):
+            return UvcParamInfo(param=param, supported=False)
+
+        try:
+            prop_name = _VIDPROP.get(param) or _CAMPROP.get(param)
+            if prop_name is None:
+                return UvcParamInfo(param=param, supported=False)
+
+            rng = self._cam.get_property_range(prop_name)
+            current = getattr(self._cam, prop_name, rng.get("default", 0))
+            auto_supported = param in (UvcParam.WHITE_BALANCE, UvcParam.EXPOSURE)
+            return UvcParamInfo(
+                param=param,
+                supported=True,
+                minimum=int(rng.get("min", 0)),
+                maximum=int(rng.get("max", 100)),
+                default=int(rng.get("default", 50)),
+                current=int(current),
+                step=int(rng.get("step", 1)),
+                auto_supported=auto_supported,
+            )
+        except Exception as exc:
+            logger.debug("UVC get_param_info(%s): %s", param.name, exc)
+            return UvcParamInfo(param=param, supported=False)
+
+    def get_all_params(self) -> list[UvcParamInfo]:
+        return [self.get_param_info(p) for p in UvcParam]
+
+    # ------------------------------------------------------------------
+    # Set
+    # ------------------------------------------------------------------
+
+    def set_value(self, param: UvcParam, value: int) -> bool:
+        if not self.is_open():
+            return False
+        try:
+            prop_name = _VIDPROP.get(param) or _CAMPROP.get(param)
+            if prop_name is None:
+                return False
+            setattr(self._cam, prop_name, value)
+            logger.debug("UVC set %s = %d", param.name, value)
+            return True
+        except Exception as exc:
+            logger.warning("UVC set_value(%s, %d): %s", param.name, value, exc)
+            return False
+
+    def set_auto(self, param: UvcParam, enabled: bool) -> bool:
+        if not self.is_open():
+            return False
+        try:
+            if param == UvcParam.WHITE_BALANCE:
+                prop = "white_balance"
+            elif param == UvcParam.EXPOSURE:
+                prop = "exposure"
+            else:
+                return False
+            mode = duvc.CamMode.AUTO if enabled else duvc.CamMode.MANUAL
+            self._cam.set_camera_property(prop, mode=mode)
+            logger.debug("UVC auto %s = %s", param.name, enabled)
+            return True
+        except Exception as exc:
+            logger.warning("UVC set_auto(%s, %s): %s", param.name, enabled, exc)
+            return False
+
+    # ------------------------------------------------------------------
+    # Helpers
+    # ------------------------------------------------------------------
+
+    def _refresh_supported(self) -> None:
+        if self._cam is None:
+            return
+        try:
+            info = self._cam.get_supported_properties()
+            vid = set(info.get("video", []))
+            cam = set(info.get("camera", []))
+            for param in UvcParam:
+                prop = _VIDPROP.get(param) or _CAMPROP.get(param, "")
+                self._supported[param] = prop in vid or prop in cam
+        except Exception as exc:
+            logger.debug("UVC _refresh_supported: %s", exc)
+            for param in UvcParam:
+                self._supported[param] = False

app/config.py

@@ -0,0 +1,46 @@
+"""Application-wide constants and default settings."""
+
+from pathlib import Path
+
+APP_NAME = "Duck Preview"
+APP_VERSION = "0.1.0"
+
+# Default camera settings
+DEFAULT_FPS = 30
+DEFAULT_WIDTH = 1280
+DEFAULT_HEIGHT = 720
+
+# Telemetry
+TELEMETRY_UPDATE_INTERVAL_MS = 500  # how often the metrics snapshot is refreshed
+
+# Overlay
+OVERLAY_BG_COLOR = (0, 0, 0, 160)   # RGBA
+OVERLAY_TEXT_COLOR = (255, 255, 255, 255)
+OVERLAY_FONT_SIZE = 13
+OVERLAY_PADDING = 10
+OVERLAY_MARGIN = 10
+
+# Frame dispatcher
+DISPATCHER_MAX_QUEUE_SIZE = 2  # max pending frames per slow subscriber before drop
+
+# Logging
+LOG_DIR = Path("logs")              # relative to CWD (project root)
+MAX_LOG_FILES = 20                  # oldest sessions are deleted when exceeded
+TELEMETRY_CSV_INTERVAL_S = 5.0     # how often a CSV row is written (seconds)
+
+# Inference worker
+INFERENCE_WORKER_TIMEOUT_S = 10.0  # seconds without response before watchdog fires
+INFERENCE_MAX_RESTARTS = 3         # max auto-restart attempts before giving up
+INFERENCE_POLL_INTERVAL_MS = 50    # how often GUI thread polls output queue (ms)
+INFERENCE_WATCHDOG_INTERVAL_MS = 2000  # how often watchdog checks process health (ms)
+
+# BBox overlay
+BBOX_COLOR = (0, 220, 60, 255)          # RGBA — vivid green
+BBOX_LABEL_BG_COLOR = (0, 220, 60, 200) # RGBA — semi-transparent green for label bg
+BBOX_LABEL_TEXT_COLOR = (0, 0, 0, 255)  # RGBA — black text on green bg
+BBOX_LINE_WIDTH = 2
+BBOX_FONT_SIZE = 11
+
+# Video file source
+VIDEO_FILE_EXTENSIONS = "Video Files (*.mp4 *.avi *.mov *.mkv *.m4v *.webm)"
+MODEL_FILE_EXTENSIONS = "YOLO Model (*.pt *.pth)"

app/inference/bbox_overlay.py

@@ -0,0 +1,154 @@
+"""BboxOverlay — draws YOLO detection bounding boxes on the camera view."""
+
+from __future__ import annotations
+
+import logging
+from typing import NamedTuple
+
+from PySide6.QtCore import QRect, QSize, Qt, Slot
+from PySide6.QtGui import QColor, QFont, QPainter, QPen
+
+from app.config import (
+    BBOX_COLOR,
+    BBOX_FONT_SIZE,
+    BBOX_LABEL_BG_COLOR,
+    BBOX_LABEL_TEXT_COLOR,
+    BBOX_LINE_WIDTH,
+)
+from app.overlay.overlay_layer import IOverlayLayer
+
+logger = logging.getLogger(__name__)
+
+
+class Detection(NamedTuple):
+    """
+    A single object detection result.
+
+    Coordinates (x1, y1, x2, y2) are in pixels of the *source frame*
+    (i.e. the frame that was submitted to inference).  BboxOverlay maps
+    them to the letterboxed video_rect before drawing.
+    """
+
+    x1: float
+    y1: float
+    x2: float
+    y2: float
+    conf: float
+    label: str
+
+
+class BboxOverlay(IOverlayLayer):
+    """
+    Overlay layer that renders detection bounding boxes.
+
+    Usage:
+        overlay = BboxOverlay()
+        camera_view.add_overlay_layer(overlay)
+        inference_manager.detections_ready.connect(overlay.on_detections)
+
+    Thread safety:
+        on_detections() is called from the GUI thread (via Qt signal).
+        paint() is also called from the GUI thread (paintEvent).
+        No locks required.
+    """
+
+    def __init__(self) -> None:
+        super().__init__()
+        self._detections: list[Detection] = []
+        self._source_size: QSize = QSize(0, 0)
+
+        self._pen = QPen(QColor(*BBOX_COLOR))
+        self._pen.setWidth(BBOX_LINE_WIDTH)
+        self._pen.setJoinStyle(Qt.PenJoinStyle.MiterJoin)
+
+        self._font = QFont("Monospace")
+        self._font.setStyleHint(QFont.StyleHint.TypeWriter)
+        self._font.setPointSize(BBOX_FONT_SIZE)
+        self._font.setBold(True)
+
+        self._box_color = QColor(*BBOX_COLOR)
+        self._bg_color = QColor(*BBOX_LABEL_BG_COLOR)
+        self._text_color = QColor(*BBOX_LABEL_TEXT_COLOR)
+
+    # ------------------------------------------------------------------
+    # Public API
+    # ------------------------------------------------------------------
+
+    @Slot(object, object)
+    def on_detections(
+        self,
+        detections: list[Detection],
+        source_size: tuple[int, int],
+    ) -> None:
+        """
+        Receive detection results from InferenceManager.
+
+        Args:
+            detections:  List of Detection namedtuples (pixel coords).
+            source_size: (width, height) of the frame that was inferred.
+        """
+        self._detections = detections
+        self._source_size = QSize(*source_size)
+
+    def clear(self) -> None:
+        """Remove all currently displayed detections."""
+        self._detections = []
+
+    # ------------------------------------------------------------------
+    # IOverlayLayer implementation
+    # ------------------------------------------------------------------
+
+    def paint(self, painter: QPainter, video_rect: QRect) -> None:
+        if not self._detections:
+            return
+        if self._source_size.isEmpty():
+            return
+
+        src_w = self._source_size.width()
+        src_h = self._source_size.height()
+        vr = video_rect
+
+        # Scale factors: source-pixel → video_rect-pixel
+        scale_x = vr.width() / src_w
+        scale_y = vr.height() / src_h
+
+        painter.setFont(self._font)
+        fm = painter.fontMetrics()
+
+        for det in self._detections:
+            # Map to widget coordinates
+            wx1 = vr.x() + int(det.x1 * scale_x)
+            wy1 = vr.y() + int(det.y1 * scale_y)
+            wx2 = vr.x() + int(det.x2 * scale_x)
+            wy2 = vr.y() + int(det.y2 * scale_y)
+
+            box_rect = QRect(wx1, wy1, wx2 - wx1, wy2 - wy1)
+
+            # Draw bounding box
+            painter.setPen(self._pen)
+            painter.setBrush(Qt.BrushStyle.NoBrush)
+            painter.drawRect(box_rect)
+
+            # Label text: "label 0.87"
+            label_text = f"{det.label} {det.conf:.2f}"
+            text_w = fm.horizontalAdvance(label_text) + 6
+            text_h = fm.height() + 2
+
+            # Position label above box, clamped to video_rect
+            lx = wx1
+            ly = wy1 - text_h
+            if ly < vr.top():
+                ly = wy1  # draw inside box if no room above
+
+            label_bg = QRect(lx, ly, text_w, text_h)
+
+            painter.setPen(Qt.PenStyle.NoPen)
+            painter.setBrush(self._bg_color)
+            painter.drawRect(label_bg)
+
+            painter.setPen(QPen(self._text_color))
+            painter.drawText(
+                lx + 3,
+                ly + fm.ascent() + 1,
+                label_text,
+            )

app/inference/worker.py

@@ -0,0 +1,219 @@
+"""YOLO inference worker — runs in a separate process.
+
+This module contains only plain functions (no Qt, no PySide6) so it can
+safely be imported and executed in a child process via multiprocessing.
+
+IPC protocol
+------------
+input_queue  receives : FramePacket       (frame_id, raw_bytes, width, height, channels)
+output_queue sends    : WorkerReadyPacket (device)  — once after model load
+                      : ResultPacket      (frame_id, detections, width, height, elapsed_ms)
+                      : None              — on fatal load failure
+stop_event           : multiprocessing.Event — set by parent to request clean exit
+
+Detection format (namedtuple-compatible plain tuple):
+    (x1, y1, x2, y2, conf, label)  — all floats/str, x/y in source-frame pixels
+"""
+
+from __future__ import annotations
+
+import logging
+import platform
+import sys
+from multiprocessing import Event, Queue
+from queue import Empty
+from typing import NamedTuple
+
+logger = logging.getLogger(__name__)
+
+
+# ---------------------------------------------------------------------------
+# Data structures shared between worker and manager
+# ---------------------------------------------------------------------------
+
+class FramePacket(NamedTuple):
+    frame_id: int
+    raw_bytes: bytes       # RGB bytes, row-major, shape = (height, width, channels)
+    width: int
+    height: int
+    channels: int          # always 3 (RGB)
+
+
+class WorkerReadyPacket(NamedTuple):
+    """
+    Sent once by the worker right after the model is loaded.
+    Carries the device string so the GUI can display it.
+    """
+    device: str            # e.g. "cpu", "mps"
+
+
+class ResultPacket(NamedTuple):
+    frame_id: int
+    detections: list       # list of (x1, y1, x2, y2, conf, label) tuples
+    width: int             # source frame width (for overlay scaling)
+    height: int            # source frame height
+    elapsed_ms: float = 0.0  # inference wall-clock time in milliseconds
+
+
+# ---------------------------------------------------------------------------
+# Worker entry point
+# ---------------------------------------------------------------------------
+
+def run_worker(
+    model_path: str,
+    input_queue: Queue,
+    output_queue: Queue,
+    stop_event: Event,
+    log_level: int = logging.WARNING,
+) -> None:
+    """
+    Main loop of the inference worker process.
+
+    Loads the YOLO model once, sends WorkerReadyPacket, then processes
+    frames from input_queue until stop_event is set.
+    Results are posted to output_queue.
+
+    This function is designed to be the target of multiprocessing.Process.
+    It must NOT import PySide6 or any Qt module.
+    """
+    _configure_worker_logging(log_level)
+    logger.info("Inference worker starting (pid=%d)", _getpid())
+
+    # Select device once — never changes during the lifetime of this process
+    device = _select_device()
+
+    try:
+        model = _load_model(model_path, device)
+    except Exception as exc:
+        logger.error("Failed to load model '%s': %s", model_path, exc)
+        # Signal failure by putting None — manager treats it as error
+        output_queue.put(None)
+        return
+
+    logger.info("Model loaded: %s  device=%s", model_path, device)
+
+    # Notify GUI thread of the device being used
+    output_queue.put(WorkerReadyPacket(device=device))
+
+    while not stop_event.is_set():
+        try:
+            packet: FramePacket = input_queue.get(timeout=0.1)
+        except Empty:
+            continue
+        except Exception as exc:
+            logger.error("Error reading input queue: %s", exc)
+            break
+
+        try:
+            result = _infer(model, packet, device)
+            output_queue.put(result)
+        except Exception as exc:
+            logger.error("Inference error (frame %d): %s", packet.frame_id, exc)
+            # Put empty result so manager knows we're still alive
+            output_queue.put(ResultPacket(
+                frame_id=packet.frame_id,
+                detections=[],
+                width=packet.width,
+                height=packet.height,
+            ))
+
+    logger.info("Inference worker stopping")
+
+
+# ---------------------------------------------------------------------------
+# Helpers
+# ---------------------------------------------------------------------------
+
+def _load_model(model_path: str, device: str):
+    """Load YOLO model and warm up on the selected device."""
+    from ultralytics import YOLO  # noqa: PLC0415
+
+    logger.info("Loading YOLO model on device='%s'", device)
+    model = YOLO(model_path)
+    # Warm up — run on a tiny dummy to JIT-compile kernels
+    try:
+        import numpy as np  # noqa: PLC0415
+        dummy = np.zeros((64, 64, 3), dtype=np.uint8)
+        model(dummy, device=device, verbose=False)
+    except Exception as exc:
+        logger.warning("Warm-up failed (non-fatal): %s", exc)
+    return model
+
+
+def _select_device() -> str:
+    """
+    Choose the best available inference device.
+
+    Priority:
+      - macOS  → "mps" if torch.backends.mps.is_available(), else "cpu"
+      - others → "cpu"
+
+    Called once at worker startup — not per frame.
+    """
+    system = platform.system()
+    if system == "Darwin":
+        try:
+            import torch  # noqa: PLC0415
+            if torch.backends.mps.is_available():
+                logger.info("MPS (Metal) available — using GPU")
+                return "mps"
+        except Exception:
+            pass
+        logger.info("MPS not available — using CPU")
+    return "cpu"
+
+
+def _infer(model, packet: FramePacket, device: str) -> ResultPacket:
+    """Run model on one frame, return ResultPacket with elapsed_ms."""
+    import time  # noqa: PLC0415
+
+    import numpy as np  # noqa: PLC0415
+
+    frame_np = np.frombuffer(packet.raw_bytes, dtype=np.uint8).reshape(
+        (packet.height, packet.width, packet.channels)
+    )
+
+    t0 = time.perf_counter()
+    results = model(frame_np, device=device, verbose=False)
+    elapsed_ms = (time.perf_counter() - t0) * 1000.0
+
+    detections = []
+    for r in results:
+        if r.boxes is None:
+            continue
+        boxes = r.boxes
+        for i in range(len(boxes)):
+            xyxy = boxes.xyxy[i].tolist()   # [x1, y1, x2, y2] in source pixels
+            conf = float(boxes.conf[i])
+            cls_idx = int(boxes.cls[i])
+            label = (
+                r.names[cls_idx]
+                if r.names and cls_idx in r.names
+                else str(cls_idx)
+            )
+            detections.append((
+                float(xyxy[0]), float(xyxy[1]),
+                float(xyxy[2]), float(xyxy[3]),
+                conf, label,
+            ))
+
+    return ResultPacket(
+        frame_id=packet.frame_id,
+        detections=detections,
+        width=packet.width,
+        height=packet.height,
+        elapsed_ms=elapsed_ms,
+    )
+
+
+def _configure_worker_logging(level: int) -> None:
+    logging.basicConfig(
+        level=level,
+        format="[worker %(process)d] %(levelname)s %(name)s: %(message)s",
+        stream=sys.stderr,
+    )
+
+
+def _getpid() -> int:
+    import os  # noqa: PLC0415
+    return os.getpid()

app/inference/worker_manager.py

@@ -0,0 +1,401 @@
+"""InferenceManager — orchestrates the YOLO worker process from the GUI thread.
+
+Responsibilities:
+  - Start / stop the worker process
+  - Submit frames (with drop-if-busy logic)
+  - Poll result queue via QTimer (never blocks the GUI thread)
+  - Watch process health via QTimer (auto-restart on crash)
+  - Emit Qt signals with results for BboxOverlay and TelemetryCollector
+"""
+
+from __future__ import annotations
+
+import collections
+import logging
+import multiprocessing
+import time
+from pathlib import Path
+
+from PySide6.QtCore import QObject, QTimer, Signal, Slot
+from PySide6.QtMultimedia import QVideoFrame
+
+from app.config import (
+    INFERENCE_MAX_RESTARTS,
+    INFERENCE_POLL_INTERVAL_MS,
+    INFERENCE_WATCHDOG_INTERVAL_MS,
+    INFERENCE_WORKER_TIMEOUT_S,
+)
+from app.inference.bbox_overlay import Detection
+from app.inference.worker import FramePacket, ResultPacket, WorkerReadyPacket, run_worker
+
+logger = logging.getLogger(__name__)
+
+# Number of recent inference times to average for the overlay display
+_ELAPSED_WINDOW = 10
+
+
+class InferenceManager(QObject):
+    """
+    Manages the YOLO worker subprocess.
+
+    Signals:
+        detections_ready(detections, source_size)
+            Emitted in the GUI thread when a result arrives.
+            detections   : list[Detection]
+            source_size  : tuple[int, int] — (width, height) of inferred frame
+
+        detection_count_updated(int)
+            Total number of frames on which at least one detection occurred.
+
+        inference_stats_updated(device, avg_ms)
+            Emitted after every result packet.
+            device  : str   — e.g. "cpu", "mps"
+            avg_ms  : float — rolling average of inference time (last 10 frames)
+
+        inference_device_changed(str)
+            Emitted once when the worker reports its device after model load.
+
+        inference_started()   — worker is up and model is loaded
+        inference_stopped()   — worker has exited cleanly
+        inference_error(str)  — fatal error (max restarts exceeded)
+    """
+
+    detections_ready = Signal(object, object)   # list[Detection], tuple[int,int]
+    detection_count_updated = Signal(int)       # total frames with detections so far
+    inference_stats_updated = Signal(str, float)  # device, avg_elapsed_ms
+    inference_device_changed = Signal(str)      # emitted once on WorkerReadyPacket
+    inference_started = Signal()
+    inference_stopped = Signal()
+    inference_error = Signal(str)
+
+    def __init__(self, parent: QObject | None = None) -> None:
+        super().__init__(parent)
+
+        self._model_path: str | None = None
+        self._process: multiprocessing.Process | None = None
+        self._input_queue: multiprocessing.Queue | None = None
+        self._output_queue: multiprocessing.Queue | None = None
+        self._stop_event: multiprocessing.Event | None = None
+
+        # Drop-if-busy flag — True while worker is processing a frame
+        self._busy: bool = False
+        self._frame_id: int = 0
+
+        # Restart tracking
+        self._restart_count: int = 0
+        self._last_result_time: float = 0.0
+
+        # Paused flag — inference can be suspended without stopping the process
+        self._paused: bool = False
+
+        # Detection counter — frames on which at least one detection occurred
+        self._detection_frame_count: int = 0
+
+        # Device reported by the worker after model load
+        self._current_device: str = "cpu"
+
+        # Rolling window of recent elapsed_ms values for averaging
+        self._elapsed_window: collections.deque[float] = collections.deque(
+            maxlen=_ELAPSED_WINDOW
+        )
+
+        # QTimers (GUI thread)
+        self._poll_timer = QTimer(self)
+        self._poll_timer.setInterval(INFERENCE_POLL_INTERVAL_MS)
+        self._poll_timer.timeout.connect(self._poll_output)
+
+        self._watchdog_timer = QTimer(self)
+        self._watchdog_timer.setInterval(INFERENCE_WATCHDOG_INTERVAL_MS)
+        self._watchdog_timer.timeout.connect(self._watchdog_check)
+
+    # ------------------------------------------------------------------
+    # Public API
+    # ------------------------------------------------------------------
+
+    def start(self, model_path: str) -> None:
+        """Load model and start the worker process."""
+        if not Path(model_path).exists():
+            msg = f"Model file not found: {model_path}"
+            logger.error(msg)
+            self.inference_error.emit(msg)
+            return
+
+        self._stop_worker()
+        self._model_path = model_path
+        self._restart_count = 0
+        self._paused = False
+        self._detection_frame_count = 0
+        self._elapsed_window.clear()
+        self._current_device = "cpu"
+        self._start_worker()
+
+    def stop(self) -> None:
+        """Stop the worker process and reset state."""
+        self._stop_worker()
+        self._model_path = None
+        self._restart_count = 0
+        self._paused = False
+
+    def pause(self) -> None:
+        """Suspend frame submission without stopping the process."""
+        self._paused = True
+        logger.debug("InferenceManager: paused")
+
+    def resume(self) -> None:
+        """Resume frame submission."""
+        self._paused = False
+        logger.debug("InferenceManager: resumed")
+
+    @property
+    def is_running(self) -> bool:
+        return self._process is not None and self._process.is_alive()
+
+    @property
+    def is_paused(self) -> bool:
+        return self._paused
+
+    @property
+    def model_path(self) -> str | None:
+        return self._model_path
+
+    @property
+    def current_device(self) -> str:
+        return self._current_device
+
+    @Slot(QVideoFrame)
+    def submit_frame(self, frame: QVideoFrame) -> None:
+        """
+        Attempt to submit a frame for inference.
+
+        Drops the frame silently if:
+          - manager is not running
+          - manager is paused
+          - worker is still busy with previous frame (drop_if_busy)
+
+        Frame conversion strategy:
+          Use QVideoFrame.toImage() → QImage.Format_RGB32 → bits().
+          This handles all pixel formats (NV12, YUV420P, BGRA, MJPG, etc.)
+          because Qt decodes them internally.  The cost is a CPU colour-space
+          conversion, but it only happens when the worker is idle (drop_if_busy).
+        """
+        if not self.is_running or self._paused or self._busy:
+            return
+
+        if not frame.isValid():
+            return
+
+        # Convert frame to RGB via Qt's built-in decoder.
+        # toImage() handles NV12, YUV420P, MJPG, BGRA — any pixel format.
+        image = frame.toImage()
+        if image.isNull():
+            logger.warning("InferenceManager: toImage() returned null")
+            return
+
+        width = image.width()
+        height = image.height()
+
+        # Ensure we have packed RGB32 (BGRX on little-endian, 4 bytes/pixel)
+        from PySide6.QtGui import QImage  # noqa: PLC0415
+        if image.format() != QImage.Format.Format_RGB32:
+            image = image.convertToFormat(QImage.Format.Format_RGB32)
+
+        # Extract RGB bytes (drop alpha/padding channel)
+        try:
+            import numpy as np  # noqa: PLC0415
+            # bits() returns BGRX (B G R 0xFF) for Format_RGB32
+            ptr = image.bits()
+            arr = np.frombuffer(ptr, dtype=np.uint8).reshape((height, width, 4))
+            # Swap B↔R and drop X → RGB
+            rgb = arr[:, :, [2, 1, 0]].copy()
+            raw = rgb.tobytes()
+        except Exception as exc:
+            logger.warning("InferenceManager: frame conversion failed: %s", exc)
+            return
+
+        channels = 3
+
+        self._frame_id += 1
+        packet = FramePacket(
+            frame_id=self._frame_id,
+            raw_bytes=raw,
+            width=width,
+            height=height,
+            channels=channels,
+        )
+
+        try:
+            self._input_queue.put_nowait(packet)
+            self._busy = True
+        except Exception as exc:
+            logger.warning("InferenceManager: could not enqueue frame: %s", exc)
+
+    # ------------------------------------------------------------------
+    # Private — worker lifecycle
+    # ------------------------------------------------------------------
+
+    def _start_worker(self) -> None:
+        ctx = multiprocessing.get_context("spawn")
+        self._input_queue = ctx.Queue(maxsize=1)
+        self._output_queue = ctx.Queue(maxsize=4)
+        self._stop_event = ctx.Event()
+
+        self._process = ctx.Process(
+            target=run_worker,
+            args=(
+                self._model_path,
+                self._input_queue,
+                self._output_queue,
+                self._stop_event,
+                logging.WARNING,
+            ),
+            daemon=True,
+            name="inference-worker",
+        )
+        self._process.start()
+        self._busy = False
+        self._last_result_time = time.monotonic()
+
+        self._poll_timer.start()
+        self._watchdog_timer.start()
+        logger.info(
+            "Inference worker started (pid=%d, model=%s)",
+            self._process.pid, self._model_path,
+        )
+        self.inference_started.emit()
+
+    def _stop_worker(self) -> None:
+        self._poll_timer.stop()
+        self._watchdog_timer.stop()
+
+        if self._stop_event is not None:
+            self._stop_event.set()
+
+        if self._process is not None:
+            self._process.join(timeout=3.0)
+            if self._process.is_alive():
+                logger.warning("Worker did not stop cleanly — terminating")
+                self._process.terminate()
+                self._process.join(timeout=2.0)
+            self._process = None
+
+        self._input_queue = None
+        self._output_queue = None
+        self._stop_event = None
+        self._busy = False
+
+        logger.info("Inference worker stopped")
+        self.inference_stopped.emit()
+
+    # ------------------------------------------------------------------
+    # Private — timers
+    # ------------------------------------------------------------------
+
+    @Slot()
+    def _poll_output(self) -> None:
+        """Drain the output queue (called every INFERENCE_POLL_INTERVAL_MS ms)."""
+        if self._output_queue is None:
+            return
+
+        try:
+            while True:
+                item = self._output_queue.get_nowait()
+
+                if item is None:
+                    # Worker signalled a fatal load error
+                    logger.error("Worker reported model load failure")
+                    self._handle_crash("Model failed to load in worker process")
+                    return
+
+                # ----------------------------------------------------------
+                # WorkerReadyPacket — sent once after model load
+                # ----------------------------------------------------------
+                if isinstance(item, WorkerReadyPacket):
+                    self._current_device = item.device
+                    logger.info("Inference device: %s", item.device)
+                    self.inference_device_changed.emit(item.device)
+                    continue
+
+                # ----------------------------------------------------------
+                # ResultPacket — regular inference result
+                # ----------------------------------------------------------
+                packet: ResultPacket = item
+                self._busy = False
+                self._last_result_time = time.monotonic()
+
+                # Update rolling average of elapsed time
+                self._elapsed_window.append(packet.elapsed_ms)
+                avg_ms = sum(self._elapsed_window) / len(self._elapsed_window)
+
+                detections = [
+                    Detection(x1, y1, x2, y2, conf, label)
+                    for x1, y1, x2, y2, conf, label in packet.detections
+                ]
+                source_size = (packet.width, packet.height)
+
+                if detections:
+                    self._detection_frame_count += 1
+                    conf_summary = ", ".join(
+                        f"{d.label} {d.conf:.2f}" for d in detections
+                    )
+                    logger.info(
+                        "frame %d: %d detection(s) in %.1f ms — %s",
+                        packet.frame_id,
+                        len(detections),
+                        packet.elapsed_ms,
+                        conf_summary,
+                    )
+                    self.detection_count_updated.emit(self._detection_frame_count)
+
+                # Always emit stats so overlay stays current
+                self.inference_stats_updated.emit(self._current_device, avg_ms)
+                self.detections_ready.emit(detections, source_size)
+
+        except Exception:
+            # Empty queue — normal
+            pass
+
+    @Slot()
+    def _watchdog_check(self) -> None:
+        """Detect crashed or hung worker process."""
+        if self._process is None:
+            return
+
+        # Process died unexpectedly
+        if not self._process.is_alive():
+            exit_code = self._process.exitcode
+            logger.error("Worker process died (exitcode=%s)", exit_code)
+            self._handle_crash(f"Worker process exited with code {exit_code}")
+            return
+
+        # Worker alive but hasn't responded for too long (hung during inference)
+        if self._busy:
+            elapsed = time.monotonic() - self._last_result_time
+            if elapsed > INFERENCE_WORKER_TIMEOUT_S:
+                logger.error(
+                    "Worker timeout: no response for %.1f s — restarting", elapsed
+                )
+                self._process.terminate()
+                self._process.join(timeout=2.0)
+                self._handle_crash("Worker timed out (hung during inference)")
+
+    def _handle_crash(self, reason: str) -> None:
+        """Decide whether to auto-restart or give up."""
+        self._poll_timer.stop()
+        self._watchdog_timer.stop()
+        self._process = None
+        self._busy = False
+
+        if self._restart_count < INFERENCE_MAX_RESTARTS:
+            self._restart_count += 1
+            logger.warning(
+                "Auto-restarting worker (attempt %d/%d): %s",
+                self._restart_count, INFERENCE_MAX_RESTARTS, reason,
+            )
+            self._start_worker()
+        else:
+            msg = (
+                f"Inference worker failed after {INFERENCE_MAX_RESTARTS} restarts. "
+                f"Last error: {reason}"
+            )
+            logger.error(msg)
+            self.inference_error.emit(msg)

app/logging_setup.py

@@ -0,0 +1,118 @@
+"""Logging initialisation — file + console handlers with session isolation."""
+
+from __future__ import annotations
+
+import logging
+import platform
+import sys
+from pathlib import Path
+
+from app.config import APP_NAME, APP_VERSION, MAX_LOG_FILES
+
+_LOG_FORMAT = "%(asctime)s.%(msecs)03d [%(levelname)-7s] %(name)s: %(message)s"
+_DATE_FORMAT = "%Y-%m-%d %H:%M:%S"
+
+_console_handler: logging.StreamHandler | None = None
+
+
+def setup_logging(log_dir: Path, session_id: str) -> Path:
+    """
+    Configure the root logger for a new session.
+
+    Creates:
+        <log_dir>/duck-preview_<session_id>.log  — DEBUG level, all messages
+        console StreamHandler                     — WARNING by default
+
+    Prunes oldest log files when count exceeds MAX_LOG_FILES.
+
+    Args:
+        log_dir:    Directory where log files are stored.
+        session_id: Timestamp string used as filename suffix (e.g. "2026-05-12_14-30-00").
+
+    Returns:
+        Path to the created log file.
+    """
+    global _console_handler
+
+    log_dir.mkdir(parents=True, exist_ok=True)
+    log_path = log_dir / f"duck-preview_{session_id}.log"
+
+    root = logging.getLogger()
+    root.setLevel(logging.DEBUG)  # handlers filter individually
+
+    formatter = logging.Formatter(_LOG_FORMAT, datefmt=_DATE_FORMAT)
+
+    # --- File handler — always DEBUG ---
+    file_handler = logging.FileHandler(log_path, encoding="utf-8")
+    file_handler.setLevel(logging.DEBUG)
+    file_handler.setFormatter(formatter)
+    root.addHandler(file_handler)
+
+    # --- Console handler — WARNING by default, toggled by Debug menu ---
+    _console_handler = logging.StreamHandler(sys.stdout)
+    _console_handler.setLevel(logging.WARNING)
+    _console_handler.setFormatter(formatter)
+    root.addHandler(_console_handler)
+
+    # Write session header to file
+    _write_session_header(log_path, session_id)
+
+    # Prune old log files
+    _prune_old_logs(log_dir, log_path)
+
+    return log_path
+
+
+def set_console_level(debug: bool) -> None:
+    """Toggle console handler between DEBUG and WARNING (called from Debug menu)."""
+    if _console_handler is not None:
+        _console_handler.setLevel(logging.DEBUG if debug else logging.WARNING)
+
+
+def _write_session_header(log_path: Path, session_id: str) -> None:
+    """Write a human-readable header block at the top of the log file."""
+    try:
+        import PySide6
+        pyside_version = PySide6.__version__
+    except Exception:
+        pyside_version = "unknown"
+
+    try:
+        import psutil
+        mem = psutil.virtual_memory()
+        cpu_count = psutil.cpu_count(logical=True)
+        mem_total_gb = mem.total / (1024 ** 3)
+        hw_info = f"{cpu_count} logical CPUs, {mem_total_gb:.1f} GB RAM"
+    except Exception:
+        hw_info = "unknown"
+
+    lines = [
+        "=" * 72,
+        f"  {APP_NAME} {APP_VERSION}",
+        f"  Session: {session_id}",
+        "=" * 72,
+        f"  Platform : {platform.platform()}",
+        f"  Python   : {sys.version.split()[0]}",
+        f"  PySide6  : {pyside_version}",
+        f"  Hardware : {hw_info}",
+        f"  Log file : {log_path.resolve()}",
+        "=" * 72,
+        "",
+    ]
+    with log_path.open("w", encoding="utf-8") as f:
+        f.write("\n".join(lines) + "\n")
+
+
+def _prune_old_logs(log_dir: Path, current: Path) -> None:
+    """Delete oldest .log files if total count exceeds MAX_LOG_FILES."""
+    log_files = sorted(
+        [p for p in log_dir.glob("duck-preview_*.log") if p != current],
+        key=lambda p: p.stat().st_mtime,
+    )
+    excess = len(log_files) - (MAX_LOG_FILES - 1)
+    for path in log_files[:excess]:
+        try:
+            path.unlink()
+            logging.getLogger(__name__).debug("Pruned old log: %s", path.name)
+        except OSError:
+            pass

app/main.py

@@ -0,0 +1,41 @@
+"""Application entry point."""
+
+from __future__ import annotations
+
+import sys
+from datetime import datetime
+
+from PySide6.QtCore import Qt
+from PySide6.QtWidgets import QApplication
+
+from app.config import APP_NAME, LOG_DIR
+from app.logging_setup import setup_logging
+
+
+def main() -> None:
+    session_id = datetime.now().strftime("%Y-%m-%d_%H-%M-%S")
+    log_path = setup_logging(LOG_DIR, session_id)
+
+    # Import after logging is ready so module-level loggers work correctly
+    import logging  # noqa: PLC0415
+
+    from app.ui.main_window import MainWindow  # noqa: PLC0415
+
+    logger = logging.getLogger(__name__)
+    logger.info("Application starting (session: %s)", session_id)
+
+    app = QApplication(sys.argv)
+    app.setApplicationName(APP_NAME)
+    app.setHighDpiScaleFactorRoundingPolicy(
+        Qt.HighDpiScaleFactorRoundingPolicy.PassThrough
+    )
+
+    window = MainWindow(log_path=log_path)
+    window.show()
+
+    logger.info("Application shutting down")
+    sys.exit(app.exec())
+
+
+if __name__ == "__main__":
+    main()

app/overlay/overlay_layer.py

@@ -0,0 +1,54 @@
+"""IOverlayLayer — interface for pluggable overlay layers drawn on CameraView."""
+
+from __future__ import annotations
+
+from abc import ABC, abstractmethod
+
+from PySide6.QtCore import QRect
+from PySide6.QtGui import QPainter
+
+
+class IOverlayLayer(ABC):
+    """
+    Interface for a single overlay layer drawn over the camera frame.
+
+    Each layer receives the active QPainter and the video rect (the letterboxed
+    area where the camera image was drawn) so it can position elements relative
+    to the actual video content if needed.
+
+    To add a new overlay (e.g. YOLO bboxes):
+        1. Subclass IOverlayLayer.
+        2. Implement paint().
+        3. Register with CameraView.add_overlay_layer().
+
+    No Qt subclassing is required — layers are plain Python objects.
+    """
+
+    @property
+    def name(self) -> str:
+        """Human-readable identifier used in menus / debug output."""
+        return type(self).__name__
+
+    @property
+    def visible(self) -> bool:
+        """Whether this layer should be drawn."""
+        return self._visible
+
+    @visible.setter
+    def visible(self, value: bool) -> None:
+        self._visible = value
+
+    def __init__(self) -> None:
+        self._visible: bool = True
+
+    @abstractmethod
+    def paint(self, painter: QPainter, video_rect: QRect) -> None:
+        """
+        Draw this layer.
+
+        Args:
+            painter:    Active QPainter on the CameraView widget.
+                        Caller saves/restores painter state around each layer.
+            video_rect: The QRect where the camera image was drawn (letterboxed).
+                        Use this to position overlays relative to the video image.
+        """

app/overlay/telemetry_overlay.py

@@ -0,0 +1,117 @@
+"""TelemetryOverlay — draws the performance metrics box on the camera view."""
+
+from __future__ import annotations
+
+from PySide6.QtCore import QRect, Qt, Slot
+from PySide6.QtGui import QColor, QFont, QPainter, QPen
+
+from app.config import (
+    OVERLAY_BG_COLOR,
+    OVERLAY_FONT_SIZE,
+    OVERLAY_MARGIN,
+    OVERLAY_PADDING,
+    OVERLAY_TEXT_COLOR,
+)
+from app.overlay.overlay_layer import IOverlayLayer
+from app.telemetry.telemetry_collector import TelemetrySnapshot
+
+
+class TelemetryOverlay(IOverlayLayer):
+    """
+    Renders a semi-transparent metrics box in the top-left corner.
+
+    Usage:
+        overlay = TelemetryOverlay()
+        camera_view.add_overlay_layer(overlay)
+        telemetry_collector.metrics_updated.connect(overlay.on_metrics_updated)
+
+    Display format:
+        FPS req   60.0          ← what was requested from camera
+        FPS got   30.2          ← what camera actually delivered
+        Frame     33.1 ms
+        Drop         0
+        CPU sys   14.8 %        ← normalised by cpu_count (matches Task Manager)
+        CPU core 118.4 %        ← per single core (can exceed 100%)
+        Mem        68 MB
+        Inf.dev  mps            ← inference device (only when model loaded)
+        Inf.time  87 ms         ← rolling average of model() call time
+    """
+
+    def __init__(self) -> None:
+        super().__init__()
+        self._snapshot: TelemetrySnapshot | None = None
+
+        self._font = QFont("Monospace")
+        self._font.setStyleHint(QFont.StyleHint.TypeWriter)
+        self._font.setPointSize(OVERLAY_FONT_SIZE)
+        self._font.setBold(False)
+
+    @Slot(object)
+    def on_metrics_updated(self, snapshot: TelemetrySnapshot) -> None:
+        """Receive a new snapshot from TelemetryCollector."""
+        self._snapshot = snapshot
+
+    # ------------------------------------------------------------------
+    # IOverlayLayer
+    # ------------------------------------------------------------------
+
+    def paint(self, painter: QPainter, video_rect: QRect) -> None:
+        if self._snapshot is None:
+            return
+
+        lines = self._format_lines(self._snapshot)
+        if not lines:
+            return
+
+        painter.setFont(self._font)
+        fm = painter.fontMetrics()
+        line_height = fm.height()
+        max_width = max(fm.horizontalAdvance(line) for line in lines)
+
+        box_w = max_width + OVERLAY_PADDING * 2
+        box_h = line_height * len(lines) + OVERLAY_PADDING * 2
+
+        x = video_rect.left() + OVERLAY_MARGIN
+        y = video_rect.top() + OVERLAY_MARGIN
+
+        # Background
+        painter.setBrush(QColor(*OVERLAY_BG_COLOR))
+        painter.setPen(Qt.PenStyle.NoPen)
+        painter.drawRoundedRect(QRect(x, y, box_w, box_h), 6, 6)
+
+        # Text
+        painter.setPen(QPen(QColor(*OVERLAY_TEXT_COLOR)))
+        text_x = x + OVERLAY_PADDING
+        text_y = y + OVERLAY_PADDING + fm.ascent()
+        for line in lines:
+            painter.drawText(text_x, text_y, line)
+            text_y += line_height
+
+    # ------------------------------------------------------------------
+    # Private
+    # ------------------------------------------------------------------
+
+    @staticmethod
+    def _format_lines(snap: TelemetrySnapshot) -> list[str]:
+        lines: list[str] = []
+
+        # FPS — show target if known, then actual
+        if snap.target_fps is not None:
+            lines.append(f"FPS req  {snap.target_fps:>6.1f}")
+        lines.append(f"FPS got  {snap.fps:>6.1f}")
+
+        lines.append(f"Frame    {snap.frame_time_ms:>6.1f} ms")
+        lines.append(f"Drop     {snap.dropped_frames:>6d}")
+        lines.append(f"CPU sys  {snap.cpu_percent_sys:>5.1f} %")
+        lines.append(f"CPU core {snap.cpu_percent_core:>5.1f} %")
+
+        if snap.memory_mb is not None:
+            lines.append(f"Mem      {snap.memory_mb:>5.0f} MB")
+
+        if snap.inference_device is not None:
+            lines.append(f"Inf.dev  {snap.inference_device:>6s}")
+
+        if snap.inference_time_ms is not None:
+            lines.append(f"Inf.time {snap.inference_time_ms:>5.0f} ms")
+
+        return lines

app/pipeline/frame_dispatcher.py

@@ -0,0 +1,111 @@
+"""Frame Dispatcher — distributes QVideoFrames to registered subscribers."""
+
+from __future__ import annotations
+
+import logging
+import time
+from collections.abc import Callable
+from dataclasses import dataclass, field
+
+from PySide6.QtCore import QObject, Slot
+from PySide6.QtMultimedia import QVideoFrame
+
+logger = logging.getLogger(__name__)
+
+FrameCallback = Callable[[QVideoFrame], None]
+
+
+@dataclass
+class _Subscriber:
+    callback: FrameCallback
+    drop_if_busy: bool = True
+    _busy: bool = field(default=False, init=False, repr=False)
+
+
+class FrameDispatcher(QObject):
+    """
+    Receives frames from CameraService and fans them out to all subscribers.
+
+    Each subscriber is a callable (QVideoFrame) -> None.
+
+    Subscribers that set drop_if_busy=True will skip a frame if they are still
+    processing the previous one (non-blocking). Subscribers with drop_if_busy=False
+    always receive every frame.
+
+    All dispatch happens in the GUI thread (Qt signal/slot), so subscribers
+    must NOT perform heavy work directly — they should queue to a worker thread
+    if processing is needed.
+    """
+
+    def __init__(self, parent: QObject | None = None) -> None:
+        super().__init__(parent)
+        self._subscribers: list[_Subscriber] = []
+        self._frame_count: int = 0
+        self._last_dispatch_time: float = 0.0
+
+    # ------------------------------------------------------------------
+    # Subscription API
+    # ------------------------------------------------------------------
+
+    def subscribe(self, callback: FrameCallback, *, drop_if_busy: bool = True) -> None:
+        """Register a frame callback.
+
+        Args:
+            callback:      Callable that receives QVideoFrame.
+            drop_if_busy:  When True, frame is skipped if subscriber is still
+                           marked busy from last call (default True).
+        """
+        for sub in self._subscribers:
+            if sub.callback is callback:
+                logger.warning("Subscriber %r already registered", callback)
+                return
+        self._subscribers.append(_Subscriber(callback=callback, drop_if_busy=drop_if_busy))
+        logger.debug("Subscriber added: %r (drop_if_busy=%s)", callback, drop_if_busy)
+
+    def unsubscribe(self, callback: FrameCallback) -> None:
+        """Remove a previously registered callback."""
+        before = len(self._subscribers)
+        self._subscribers = [s for s in self._subscribers if s.callback is not callback]
+        if len(self._subscribers) < before:
+            logger.debug("Subscriber removed: %r", callback)
+        else:
+            logger.debug("Subscriber not found for removal: %r", callback)
+
+    def subscriber_count(self) -> int:
+        return len(self._subscribers)
+
+    # ------------------------------------------------------------------
+    # Frame intake — connect CameraService.frame_ready to this slot
+    # ------------------------------------------------------------------
+
+    @Slot(QVideoFrame)
+    def dispatch(self, frame: QVideoFrame) -> None:
+        """Distribute the frame to all registered subscribers."""
+        self._frame_count += 1
+        now = time.perf_counter()
+        self._last_dispatch_time = now
+
+        for sub in self._subscribers:
+            if sub.drop_if_busy and sub._busy:
+                logger.debug("Dropping frame for busy subscriber %r", sub.callback)
+                continue
+            sub._busy = True
+            try:
+                sub.callback(frame)
+            except Exception:
+                logger.exception("Error in frame subscriber %r", sub.callback)
+            finally:
+                sub._busy = False
+
+    # ------------------------------------------------------------------
+    # Stats
+    # ------------------------------------------------------------------
+
+    @property
+    def frame_count(self) -> int:
+        return self._frame_count
+
+    @property
+    def last_dispatch_time(self) -> float:
+        """perf_counter timestamp of the last dispatched frame."""
+        return self._last_dispatch_time

app/telemetry/csv_logger.py

@@ -0,0 +1,104 @@
+"""CsvTelemetryLogger — writes telemetry snapshots to a CSV file with throttling.
+
+Design decisions:
+- Does NOT use the logging module — writes directly via csv.writer so the file
+  is readable independently of the text log level.
+- Flushes after every row so the file is intact even on crash or force-quit.
+- Throttle: only one row per TELEMETRY_CSV_INTERVAL_S seconds, even if
+  metrics_updated fires every 500 ms.  This keeps the file manageable for
+  long sessions (8 h @ 5 s interval = 5 760 rows).
+"""
+
+from __future__ import annotations
+
+import csv
+import time
+from datetime import datetime
+from pathlib import Path
+
+from app.config import TELEMETRY_CSV_INTERVAL_S
+from app.telemetry.telemetry_collector import TelemetrySnapshot
+
+_CSV_HEADER = [
+    "timestamp",
+    "fps_got",
+    "fps_req",
+    "frame_time_ms",
+    "dropped_frames",
+    "cpu_sys_pct",
+    "cpu_core_pct",
+    "mem_mb",
+]
+
+
+class CsvTelemetryLogger:
+    """
+    Receives TelemetrySnapshot objects and writes throttled rows to a CSV file.
+
+    Usage:
+        logger = CsvTelemetryLogger(path)
+        telemetry_collector.metrics_updated.connect(logger.on_metrics_updated)
+        # call logger.close() on application exit
+    """
+
+    def __init__(
+        self,
+        path: Path,
+        interval_s: float = TELEMETRY_CSV_INTERVAL_S,
+    ) -> None:
+        self._interval_s = interval_s
+        self._last_write_time: float = 0.0
+        self._rows_written: int = 0
+
+        path.parent.mkdir(parents=True, exist_ok=True)
+        self._file = path.open("w", newline="", encoding="utf-8")
+        self._writer = csv.writer(self._file)
+        self._writer.writerow(_CSV_HEADER)
+        self._file.flush()
+
+    # ------------------------------------------------------------------
+    # Slot — connect to TelemetryCollector.metrics_updated
+    # ------------------------------------------------------------------
+
+    def on_metrics_updated(self, snapshot: TelemetrySnapshot) -> None:
+        """Write a row if the throttle interval has elapsed."""
+        now = time.monotonic()
+        if now - self._last_write_time < self._interval_s:
+            return
+        self._last_write_time = now
+        self._write_row(snapshot)
+
+    # ------------------------------------------------------------------
+    # Lifecycle
+    # ------------------------------------------------------------------
+
+    def close(self) -> None:
+        """Flush and close the CSV file. Call on application shutdown."""
+        try:
+            self._file.flush()
+            self._file.close()
+        except OSError:
+            pass
+
+    @property
+    def rows_written(self) -> int:
+        return self._rows_written
+
+    # ------------------------------------------------------------------
+    # Private
+    # ------------------------------------------------------------------
+
+    def _write_row(self, snap: TelemetrySnapshot) -> None:
+        ts = datetime.now().strftime("%H:%M:%S.%f")[:-3]  # HH:MM:SS.mmm
+        self._writer.writerow([
+            ts,
+            f"{snap.fps:.1f}",
+            f"{snap.target_fps:.1f}" if snap.target_fps is not None else "",
+            f"{snap.frame_time_ms:.2f}",
+            snap.dropped_frames,
+            f"{snap.cpu_percent_sys:.1f}",
+            f"{snap.cpu_percent_core:.1f}",
+            f"{snap.memory_mb:.1f}" if snap.memory_mb is not None else "",
+        ])
+        self._file.flush()
+        self._rows_written += 1

app/telemetry/telemetry_collector.py

@@ -0,0 +1,215 @@
+"""Telemetry Collector — measures video pipeline performance metrics."""
+
+from __future__ import annotations
+
+import time
+from collections import deque
+from dataclasses import dataclass
+
+import psutil
+from PySide6.QtCore import QObject, QTimer, Signal
+from PySide6.QtMultimedia import QVideoFrame
+
+from app.config import TELEMETRY_UPDATE_INTERVAL_MS
+
+
+@dataclass
+class TelemetrySnapshot:
+    """Immutable snapshot of current performance metrics."""
+
+    fps: float                    # actual frames received in the last second
+    target_fps: float | None      # FPS requested from the camera (None = unknown)
+    frame_time_ms: float          # average inter-frame time in ms
+    dropped_frames: int           # cumulative dropped frames detected
+    cpu_percent_sys: float        # process CPU as % of total system capacity
+                                  # (divided by cpu_count) — matches Task Manager
+    cpu_percent_core: float       # process CPU per single core — can exceed 100%
+    memory_mb: float | None       # process private working set in MB
+    timestamp: float              # time.perf_counter() when snapshot was taken
+    # Inference fields — None when inference is disabled / model not loaded
+    inference_device: str | None = None   # e.g. "cpu", "mps"
+    inference_time_ms: float | None = None  # rolling average of model() call time
+
+
+class TelemetryCollector(QObject):
+    """
+    Frame subscriber that measures pipeline performance.
+
+    Connect to FrameDispatcher:
+        dispatcher.subscribe(collector.on_frame, drop_if_busy=False)
+
+    Receive target FPS updates from CameraService:
+        camera_service.format_changed.connect(collector.set_target_fps)
+
+    Listen to metrics updates:
+        collector.metrics_updated.connect(my_slot)
+    """
+
+    metrics_updated = Signal(object)  # emits TelemetrySnapshot
+
+    def __init__(
+        self,
+        update_interval_ms: int = TELEMETRY_UPDATE_INTERVAL_MS,
+        parent: QObject | None = None,
+    ) -> None:
+        super().__init__(parent)
+
+        self._update_interval_ms = update_interval_ms
+        self._target_fps: float | None = None
+
+        # frame timing ring-buffer (last 120 samples)
+        self._frame_times: deque[float] = deque(maxlen=120)
+        self._last_frame_time: float = 0.0
+        self._total_frames: int = 0
+        self._dropped_frames: int = 0
+
+        # FPS window — count frames in the last second
+        self._fps_window: deque[float] = deque()
+        self._fps_window_size_s: float = 1.0
+
+        # psutil — initialise baseline so first real reading is non-zero
+        self._process = psutil.Process()
+        self._process.cpu_percent()  # first call always returns 0.0; discard
+        self._cpu_count: int = max(psutil.cpu_count(logical=True) or 1, 1)
+
+        # Inference stats (updated externally via set_inference_stats)
+        self._inference_device: str | None = None
+        self._inference_time_ms: float | None = None
+
+        # periodic snapshot timer
+        self._timer = QTimer(self)
+        self._timer.setInterval(update_interval_ms)
+        self._timer.timeout.connect(self._emit_snapshot)
+        self._timer.start()
+
+        self._latest: TelemetrySnapshot = self._make_empty_snapshot()
+
+    # ------------------------------------------------------------------
+    # Configuration
+    # ------------------------------------------------------------------
+
+    def set_target_fps(self, fps: float | None) -> None:
+        """Record the FPS that was requested from the camera."""
+        self._target_fps = fps
+
+    def set_inference_stats(self, device: str, avg_ms: float) -> None:
+        """Update inference device and average inference time (called from MainWindow)."""
+        self._inference_device: str | None = device
+        self._inference_time_ms: float | None = avg_ms
+
+    def clear_inference_stats(self) -> None:
+        """Clear inference stats when inference is disabled."""
+        self._inference_device = None
+        self._inference_time_ms = None
+
+    # ------------------------------------------------------------------
+    # Frame subscriber callback
+    # ------------------------------------------------------------------
+
+    def on_frame(self, frame: QVideoFrame) -> None:
+        """Called by FrameDispatcher for every frame. Must be fast."""
+        now = time.perf_counter()
+
+        if self._last_frame_time > 0:
+            delta = now - self._last_frame_time
+            self._frame_times.append(delta)
+
+            # drop detection: gap > 2.5× rolling average
+            if len(self._frame_times) >= 5:
+                avg = sum(self._frame_times) / len(self._frame_times)
+                if delta > avg * 2.5:
+                    self._dropped_frames += 1
+
+        self._last_frame_time = now
+        self._total_frames += 1
+
+        self._fps_window.append(now)
+        cutoff = now - self._fps_window_size_s
+        while self._fps_window and self._fps_window[0] < cutoff:
+            self._fps_window.popleft()
+
+    # ------------------------------------------------------------------
+    # Snapshot
+    # ------------------------------------------------------------------
+
+    def latest_snapshot(self) -> TelemetrySnapshot:
+        return self._latest
+
+    def reset_counters(self) -> None:
+        """Reset cumulative counters (e.g. after camera switch)."""
+        self._frame_times.clear()
+        self._fps_window.clear()
+        self._last_frame_time = 0.0
+        self._total_frames = 0
+        self._dropped_frames = 0
+
+    # ------------------------------------------------------------------
+    # Internal
+    # ------------------------------------------------------------------
+
+    def _emit_snapshot(self) -> None:
+        snapshot = self._compute_snapshot()
+        self._latest = snapshot
+        self.metrics_updated.emit(snapshot)
+
+    def _compute_snapshot(self) -> TelemetrySnapshot:
+        now = time.perf_counter()
+
+        # FPS — prune stale entries before counting
+        cutoff = now - self._fps_window_size_s
+        while self._fps_window and self._fps_window[0] < cutoff:
+            self._fps_window.popleft()
+        fps = float(len(self._fps_window))
+
+        # average frame time
+        avg_frame_time_ms = (
+            (sum(self._frame_times) / len(self._frame_times)) * 1000.0
+            if self._frame_times
+            else 0.0
+        )
+
+        # CPU — per-core reading, then derive system-normalised value
+        try:
+            cpu_core = self._process.cpu_percent()
+        except Exception:
+            cpu_core = 0.0
+        cpu_sys = cpu_core / self._cpu_count
+
+        # Memory — private working set (Windows) or RSS (macOS/Linux)
+        try:
+            mem_info = self._process.memory_info()
+            mem_bytes = getattr(mem_info, "wset", None) or mem_info.rss
+            mem_mb: float | None = mem_bytes / (1024 * 1024)
+        except Exception:
+            mem_mb = None
+
+        return TelemetrySnapshot(
+            fps=round(fps, 1),
+            target_fps=self._target_fps,
+            frame_time_ms=round(avg_frame_time_ms, 2),
+            dropped_frames=self._dropped_frames,
+            cpu_percent_sys=round(cpu_sys, 1),
+            cpu_percent_core=round(cpu_core, 1),
+            memory_mb=round(mem_mb, 1) if mem_mb is not None else None,
+            timestamp=now,
+            inference_device=self._inference_device,
+            inference_time_ms=(
+                round(self._inference_time_ms, 1)
+                if self._inference_time_ms is not None
+                else None
+            ),
+        )
+
+    def _make_empty_snapshot(self) -> TelemetrySnapshot:
+        return TelemetrySnapshot(
+            fps=0.0,
+            target_fps=self._target_fps,
+            frame_time_ms=0.0,
+            dropped_frames=0,
+            cpu_percent_sys=0.0,
+            cpu_percent_core=0.0,
+            memory_mb=None,
+            timestamp=time.perf_counter(),
+            inference_device=None,
+            inference_time_ms=None,
+        )

app/ui/camera_settings_dialog.py

@@ -0,0 +1,310 @@
+"""Camera Settings dialog — sliders for UVC controls + Qt WhiteBalance/Exposure."""
+
+from __future__ import annotations
+
+import logging
+
+from PySide6.QtCore import Qt
+from PySide6.QtMultimedia import QCamera
+from PySide6.QtWidgets import (
+    QCheckBox,
+    QComboBox,
+    QDialog,
+    QDialogButtonBox,
+    QDoubleSpinBox,
+    QFormLayout,
+    QGroupBox,
+    QHBoxLayout,
+    QLabel,
+    QScrollArea,
+    QSlider,
+    QSpinBox,
+    QVBoxLayout,
+    QWidget,
+)
+
+from app.camera.uvc.base import UvcControllerBase, UvcParam
+
+logger = logging.getLogger(__name__)
+
+# Human-readable labels for each UVC parameter
+_PARAM_LABELS: dict[UvcParam, str] = {
+    UvcParam.BRIGHTNESS:             "Brightness",
+    UvcParam.CONTRAST:               "Contrast",
+    UvcParam.SATURATION:             "Saturation",
+    UvcParam.HUE:                    "Hue",
+    UvcParam.SHARPNESS:              "Sharpness",
+    UvcParam.GAMMA:                  "Gamma",
+    UvcParam.WHITE_BALANCE:          "White Balance (K)",
+    UvcParam.BACKLIGHT_COMPENSATION: "Backlight Compensation",
+    UvcParam.EXPOSURE:               "Exposure Time",
+}
+
+# Qt WhiteBalance modes shown in the combo
+_WB_MODES: list[tuple[str, QCamera.WhiteBalanceMode]] = [
+    ("Auto",        QCamera.WhiteBalanceMode.WhiteBalanceAuto),
+    ("Sunlight",    QCamera.WhiteBalanceMode.WhiteBalanceSunlight),
+    ("Cloudy",      QCamera.WhiteBalanceMode.WhiteBalanceCloudy),
+    ("Shade",       QCamera.WhiteBalanceMode.WhiteBalanceShade),
+    ("Tungsten",    QCamera.WhiteBalanceMode.WhiteBalanceTungsten),
+    ("Fluorescent", QCamera.WhiteBalanceMode.WhiteBalanceFluorescent),
+    ("Flash",       QCamera.WhiteBalanceMode.WhiteBalanceFlash),
+    ("Sunset",      QCamera.WhiteBalanceMode.WhiteBalanceSunset),
+    ("Manual (K)",  QCamera.WhiteBalanceMode.WhiteBalanceManual),
+]
+
+_EXPOSURE_MODES: list[tuple[str, QCamera.ExposureMode]] = [
+    ("Auto",   QCamera.ExposureMode.ExposureAuto),
+    ("Manual", QCamera.ExposureMode.ExposureManual),
+]
+
+
+class CameraSettingsDialog(QDialog):
+    """
+    Modal dialog for camera image controls.
+
+    Sections:
+      • Qt controls — WhiteBalance mode + colour temperature, Exposure mode + time
+      • UVC controls — sliders for Brightness, Contrast, Saturation, Hue,
+                       Sharpness, Gamma, White Balance (manual K), Backlight,
+                       Exposure (if UVC controller is open)
+
+    Changes are applied live to the camera.
+    """
+
+    def __init__(
+        self,
+        camera: QCamera,
+        uvc: UvcControllerBase,
+        parent: QWidget | None = None,
+    ) -> None:
+        super().__init__(parent)
+        self.setWindowTitle("Camera Settings")
+        self.setMinimumWidth(440)
+
+        self._camera = camera
+        self._uvc = uvc
+
+        outer = QVBoxLayout(self)
+
+        scroll = QScrollArea()
+        scroll.setWidgetResizable(True)
+        outer.addWidget(scroll)
+
+        content = QWidget()
+        scroll.setWidget(content)
+        layout = QVBoxLayout(content)
+        layout.setAlignment(Qt.AlignmentFlag.AlignTop)
+
+        layout.addWidget(self._build_qt_group())
+
+        uvc_group = self._build_uvc_group()
+        if uvc_group is not None:
+            layout.addWidget(uvc_group)
+
+        buttons = QDialogButtonBox(QDialogButtonBox.StandardButton.Close)
+        buttons.rejected.connect(self.accept)
+        outer.addWidget(buttons)
+
+    # ------------------------------------------------------------------
+    # Qt controls section
+    # ------------------------------------------------------------------
+
+    def _build_qt_group(self) -> QGroupBox:
+        group = QGroupBox("Qt Camera Controls")
+        form = QFormLayout(group)
+
+        # White Balance mode
+        self._wb_combo = QComboBox()
+        for label, mode in _WB_MODES:
+            self._wb_combo.addItem(label, mode)
+
+        current_wb = self._camera.whiteBalanceMode()
+        for i, (_, mode) in enumerate(_WB_MODES):
+            if mode == current_wb:
+                self._wb_combo.setCurrentIndex(i)
+                break
+
+        self._wb_combo.currentIndexChanged.connect(self._on_wb_mode_changed)
+        form.addRow("White Balance:", self._wb_combo)
+
+        # Colour temperature (manual only)
+        self._temp_label = QLabel("Colour Temp (K):")
+        self._temp_spin = QSpinBox()
+        self._temp_spin.setRange(2000, 10000)
+        self._temp_spin.setSingleStep(100)
+        current_temp = self._camera.colorTemperature()
+        self._temp_spin.setValue(current_temp if current_temp >= 2000 else 5500)
+        self._temp_spin.valueChanged.connect(self._on_color_temp_changed)
+        form.addRow(self._temp_label, self._temp_spin)
+        self._update_temp_visibility()
+
+        form.addRow(QLabel(""))  # spacer
+
+        # Exposure mode
+        self._exp_combo = QComboBox()
+        for label, mode in _EXPOSURE_MODES:
+            self._exp_combo.addItem(label, mode)
+
+        current_exp = self._camera.exposureMode()
+        for i, (_, mode) in enumerate(_EXPOSURE_MODES):
+            if mode == current_exp:
+                self._exp_combo.setCurrentIndex(i)
+                break
+
+        self._exp_combo.currentIndexChanged.connect(self._on_exp_mode_changed)
+        form.addRow("Exposure Mode:", self._exp_combo)
+
+        # Manual exposure time
+        self._exp_label = QLabel("Exposure Time (s):")
+        self._exp_spin = QDoubleSpinBox()
+        exp_min = self._camera.minimumExposureTime()
+        exp_max = self._camera.maximumExposureTime()
+        self._exp_spin.setRange(
+            exp_min if exp_min > 0 else 1e-6,
+            exp_max if exp_max > 0 else 1.0,
+        )
+        self._exp_spin.setDecimals(6)
+        self._exp_spin.setSingleStep(0.001)
+        manual_t = self._camera.manualExposureTime()
+        self._exp_spin.setValue(manual_t if manual_t > 0 else 0.033)
+        self._exp_spin.valueChanged.connect(self._on_exp_time_changed)
+        form.addRow(self._exp_label, self._exp_spin)
+        self._update_exp_visibility()
+
+        return group
+
+    # ------------------------------------------------------------------
+    # UVC controls section
+    # ------------------------------------------------------------------
+
+    def _build_uvc_group(self) -> QGroupBox | None:
+        params = self._uvc.get_all_params()
+        supported = [p for p in params if p.supported]
+
+        group = QGroupBox("UVC Camera Controls")
+        form = QFormLayout(group)
+
+        if not supported:
+            note = QLabel(
+                "UVC controls not available.\n"
+                "Install duvc-ctl (Windows) or pyuvc (macOS) to enable."
+            )
+            note.setEnabled(False)
+            form.addRow(note)
+            return group
+
+        self._uvc_sliders: dict[UvcParam, QSlider] = {}
+        self._uvc_spins: dict[UvcParam, QSpinBox] = {}
+        self._uvc_auto_boxes: dict[UvcParam, QCheckBox] = {}
+
+        for info in params:
+            label = _PARAM_LABELS.get(info.param, info.param.name.title())
+
+            if not info.supported:
+                lbl = QLabel("Not supported")
+                lbl.setEnabled(False)
+                form.addRow(f"{label}:", lbl)
+                continue
+
+            row_widget = QWidget()
+            row_layout = QHBoxLayout(row_widget)
+            row_layout.setContentsMargins(0, 0, 0, 0)
+
+            slider = QSlider(Qt.Orientation.Horizontal)
+            slider.setRange(info.minimum, info.maximum)
+            slider.setValue(info.current)
+            slider.setSingleStep(max(1, info.step))
+
+            spin = QSpinBox()
+            spin.setRange(info.minimum, info.maximum)
+            spin.setValue(info.current)
+            spin.setFixedWidth(75)
+
+            # Keep slider ↔ spin in sync
+            slider.valueChanged.connect(spin.setValue)
+            spin.valueChanged.connect(slider.setValue)
+            slider.valueChanged.connect(
+                lambda v, p=info.param: self._on_uvc_value(p, v)
+            )
+
+            row_layout.addWidget(slider)
+            row_layout.addWidget(spin)
+
+            if info.auto_supported:
+                auto_box = QCheckBox("Auto")
+                auto_box.setChecked(info.auto_enabled)
+                auto_box.toggled.connect(
+                    lambda checked, p=info.param: self._on_uvc_auto(p, checked)
+                )
+                row_layout.addWidget(auto_box)
+                self._uvc_auto_boxes[info.param] = auto_box
+                # Init enabled state
+                slider.setEnabled(not info.auto_enabled)
+                spin.setEnabled(not info.auto_enabled)
+
+            self._uvc_sliders[info.param] = slider
+            self._uvc_spins[info.param] = spin
+            form.addRow(f"{label}:", row_widget)
+
+        return group
+
+    # ------------------------------------------------------------------
+    # Qt control slots
+    # ------------------------------------------------------------------
+
+    def _on_wb_mode_changed(self, index: int) -> None:
+        mode: QCamera.WhiteBalanceMode = self._wb_combo.itemData(index)
+        if self._camera.isWhiteBalanceModeSupported(mode):
+            self._camera.setWhiteBalanceMode(mode)
+            logger.debug("WB mode: %s", mode)
+        else:
+            logger.debug("WB mode %s not supported by this camera", mode)
+        self._update_temp_visibility()
+
+    def _on_color_temp_changed(self, value: int) -> None:
+        self._camera.setColorTemperature(value)
+        logger.debug("Colour temp: %d K", value)
+
+    def _on_exp_mode_changed(self, index: int) -> None:
+        mode: QCamera.ExposureMode = self._exp_combo.itemData(index)
+        if self._camera.isExposureModeSupported(mode):
+            self._camera.setExposureMode(mode)
+            logger.debug("Exposure mode: %s", mode)
+        self._update_exp_visibility()
+
+    def _on_exp_time_changed(self, value: float) -> None:
+        self._camera.setManualExposureTime(value)
+        logger.debug("Exposure time: %.6f s", value)
+
+    def _update_temp_visibility(self) -> None:
+        manual = (
+            self._wb_combo.currentData()
+            == QCamera.WhiteBalanceMode.WhiteBalanceManual
+        )
+        self._temp_label.setVisible(manual)
+        self._temp_spin.setVisible(manual)
+
+    def _update_exp_visibility(self) -> None:
+        manual = (
+            self._exp_combo.currentData()
+            == QCamera.ExposureMode.ExposureManual
+        )
+        self._exp_label.setVisible(manual)
+        self._exp_spin.setVisible(manual)
+
+    # ------------------------------------------------------------------
+    # UVC control slots
+    # ------------------------------------------------------------------
+
+    def _on_uvc_value(self, param: UvcParam, value: int) -> None:
+        self._uvc.set_value(param, value)
+
+    def _on_uvc_auto(self, param: UvcParam, enabled: bool) -> None:
+        self._uvc.set_auto(param, enabled)
+        slider = self._uvc_sliders.get(param)
+        spin = self._uvc_spins.get(param)
+        if slider:
+            slider.setEnabled(not enabled)
+        if spin:
+            spin.setEnabled(not enabled)

app/ui/camera_view.py

@@ -0,0 +1,144 @@
+"""CameraView — QWidget that renders camera frames and composites overlay layers.
+
+Responsibilities:
+    - Receive QVideoFrame, convert to QImage, schedule repaint.
+    - In paintEvent: draw the frame (letterboxed) then call paint() on each
+      registered IOverlayLayer in order.
+    - Know nothing about what specific overlays draw — that is entirely up to
+      each IOverlayLayer implementation.
+
+Adding a new overlay (e.g. YOLO bboxes):
+    layer = YoloBboxOverlay()
+    camera_view.add_overlay_layer(layer)
+    yolo_processor.results_ready.connect(layer.on_results)
+
+No modification to CameraView is needed.
+"""
+
+from __future__ import annotations
+
+import logging
+
+from PySide6.QtCore import QRect, Qt, Slot
+from PySide6.QtGui import QImage, QPainter
+from PySide6.QtMultimedia import QVideoFrame
+from PySide6.QtWidgets import QWidget
+
+from app.overlay.overlay_layer import IOverlayLayer
+
+logger = logging.getLogger(__name__)
+
+
+class CameraView(QWidget):
+    """
+    Camera preview widget.
+
+    Frame pipeline:
+        CameraService.frame_ready(QVideoFrame)
+            → CameraView.on_frame()     — convert to QImage, schedule update()
+            → paintEvent()              — draw image + all overlay layers
+    """
+
+    def __init__(self, parent: QWidget | None = None) -> None:
+        super().__init__(parent)
+        self.setStyleSheet("background: black;")
+
+        self._current_image: QImage | None = None
+        self._video_rect: QRect = QRect()
+        self._overlay_layers: list[IOverlayLayer] = []
+
+    # ------------------------------------------------------------------
+    # Overlay layer registry
+    # ------------------------------------------------------------------
+
+    def add_overlay_layer(self, layer: IOverlayLayer) -> None:
+        """Register an overlay layer. Layers are painted in registration order."""
+        if layer not in self._overlay_layers:
+            self._overlay_layers.append(layer)
+            logger.debug("Overlay layer added: %s", layer.name)
+
+    def remove_overlay_layer(self, layer: IOverlayLayer) -> None:
+        """Unregister an overlay layer."""
+        try:
+            self._overlay_layers.remove(layer)
+            logger.debug("Overlay layer removed: %s", layer.name)
+        except ValueError:
+            pass
+
+    def set_all_overlays_visible(self, visible: bool) -> None:
+        """Show or hide all registered overlay layers at once."""
+        for layer in self._overlay_layers:
+            layer.visible = visible
+        self.update()
+
+    # ------------------------------------------------------------------
+    # Frame input
+    # ------------------------------------------------------------------
+
+    @Slot(QVideoFrame)
+    def on_frame(self, frame: QVideoFrame) -> None:
+        """Receive a camera frame, convert to QImage, schedule repaint."""
+        if not frame.isValid():
+            return
+
+        image = frame.toImage()
+        if image.isNull():
+            return
+
+        # Convert to Format_RGB32 — QPainter's fastest path on all platforms
+        if image.format() != QImage.Format.Format_RGB32:
+            image = image.convertToFormat(QImage.Format.Format_RGB32)
+
+        self._current_image = image
+        self.update()
+
+    # ------------------------------------------------------------------
+    # Qt paint
+    # ------------------------------------------------------------------
+
+    def paintEvent(self, event) -> None:  # noqa: N802
+        painter = QPainter(self)
+
+        # 1. Background
+        painter.fillRect(self.rect(), Qt.GlobalColor.black)
+
+        # 2. Camera frame — letterboxed
+        if self._current_image is not None:
+            img = self._current_image
+            self._video_rect = _letterbox_rect(
+                img.width(), img.height(), self.width(), self.height()
+            )
+            painter.drawImage(self._video_rect, img)
+        else:
+            self._video_rect = self.rect()
+
+        # 3. Overlay layers — each gets a clean painter state
+        for layer in self._overlay_layers:
+            if not layer.visible:
+                continue
+            painter.save()
+            try:
+                layer.paint(painter, self._video_rect)
+            except Exception:
+                logger.exception("Error painting overlay layer %s", layer.name)
+            finally:
+                painter.restore()
+
+        painter.end()
+
+
+# ------------------------------------------------------------------
+# Helpers
+# ------------------------------------------------------------------
+
+def _letterbox_rect(img_w: int, img_h: int, widget_w: int, widget_h: int) -> QRect:
+    """Return the largest rect that fits the image while preserving aspect ratio."""
+    if img_w <= 0 or img_h <= 0:
+        return QRect(0, 0, widget_w, widget_h)
+
+    scale = min(widget_w / img_w, widget_h / img_h)
+    draw_w = int(img_w * scale)
+    draw_h = int(img_h * scale)
+    x = (widget_w - draw_w) // 2
+    y = (widget_h - draw_h) // 2
+    return QRect(x, y, draw_w, draw_h)

app/ui/main_window.py

@@ -0,0 +1,377 @@
+"""Main application window."""
+
+from __future__ import annotations
+
+import logging
+from pathlib import Path
+
+from PySide6.QtCore import QTimer
+from PySide6.QtWidgets import QLabel, QMainWindow, QMessageBox, QSizePolicy, QStatusBar
+
+from app.camera.camera_enumerator import CameraEnumerator, CameraFormat, CameraInfo
+from app.camera.camera_service import CameraService
+from app.camera.uvc import make_uvc_controller
+from app.camera.uvc.base import UvcControllerBase
+from app.camera.uvc.stub import NullUvcController
+from app.config import APP_NAME, APP_VERSION
+from app.inference.bbox_overlay import BboxOverlay
+from app.inference.worker_manager import InferenceManager
+from app.overlay.telemetry_overlay import TelemetryOverlay
+from app.pipeline.frame_dispatcher import FrameDispatcher
+from app.telemetry.csv_logger import CsvTelemetryLogger
+from app.telemetry.telemetry_collector import TelemetryCollector
+from app.ui.camera_settings_dialog import CameraSettingsDialog
+from app.ui.camera_view import CameraView
+from app.ui.menu_bar import AppMenuBar
+from app.video.video_player import VideoPlayer
+
+logger = logging.getLogger(__name__)
+
+
+class MainWindow(QMainWindow):
+    """
+    Top-level application window.
+
+    Frame source (exclusive):
+        • CameraService  — live camera (default)
+        • VideoPlayer    — local video file
+
+    Inference pipeline (optional):
+        InferenceManager runs YOLO in a separate process.
+        Frames submitted via FrameDispatcher subscriber (drop_if_busy).
+        Results displayed by BboxOverlay.
+
+    Signal flow:
+        [CameraService | VideoPlayer].frame_ready(QVideoFrame)
+            → FrameDispatcher.dispatch
+                → CameraView.on_frame             (render)
+                → TelemetryCollector.on_frame     (metrics)
+                    → TelemetryOverlay            (HUD)
+                    → CsvTelemetryLogger          (CSV)
+                → InferenceManager.submit_frame   (drop_if_busy, optional)
+                    → [worker process] YOLO
+                    → BboxOverlay.on_detections   (draw boxes)
+    """
+
+    def __init__(self, log_path: Path | None = None) -> None:
+        super().__init__()
+
+        self.setWindowTitle(f"{APP_NAME} v{APP_VERSION}")
+        self.setMinimumSize(640, 480)
+        self.resize(1280, 720)
+
+        # --- Core pipeline ---
+        self._camera_service = CameraService(self)
+        self._video_player = VideoPlayer(self)
+        self._dispatcher = FrameDispatcher(self)
+        self._telemetry = TelemetryCollector(parent=self)
+        self._inference = InferenceManager(self)
+
+        # Track which source is active
+        self._video_source_active: bool = False
+        self._current_camera: CameraInfo | None = None
+
+        # --- UVC ---
+        self._uvc: UvcControllerBase = NullUvcController()
+
+        # --- CSV logger ---
+        self._csv_logger: CsvTelemetryLogger | None = None
+        if log_path is not None:
+            csv_path = log_path.with_suffix(".csv")
+            self._csv_logger = CsvTelemetryLogger(csv_path)
+            logger.info("Telemetry CSV: %s", csv_path.resolve())
+
+        # --- Camera view ---
+        self._camera_view = CameraView(self)
+        self._camera_view.setSizePolicy(
+            QSizePolicy.Policy.Expanding, QSizePolicy.Policy.Expanding
+        )
+        self.setCentralWidget(self._camera_view)
+
+        # --- Overlay layers ---
+        self._telemetry_overlay = TelemetryOverlay()
+        self._bbox_overlay = BboxOverlay()
+        self._camera_view.add_overlay_layer(self._telemetry_overlay)
+        self._camera_view.add_overlay_layer(self._bbox_overlay)
+        self._bbox_overlay.visible = False   # hidden until inference enabled
+
+        # --- Menu bar ---
+        self._menu = AppMenuBar(self)
+        self.setMenuBar(self._menu)
+        if log_path is not None:
+            self._menu.set_log_file_path(str(log_path.resolve()))
+
+        # --- Status bar ---
+        self._status_bar = QStatusBar(self)
+        self.setStatusBar(self._status_bar)
+        self._status_label = QLabel("Initialising\u2026")
+        self._status_bar.addWidget(self._status_label, stretch=1)
+        # Detection counter — right-aligned permanent widget
+        self._detection_label = QLabel("")
+        self._detection_label.setVisible(False)
+        self._status_bar.addPermanentWidget(self._detection_label)
+
+        # --- Wire signals ---
+        self._wire_signals()
+
+        QTimer.singleShot(0, self._initialise_cameras)
+
+    # ------------------------------------------------------------------
+    # Initialisation
+    # ------------------------------------------------------------------
+
+    def _initialise_cameras(self) -> None:
+        cameras = CameraEnumerator.list_cameras()
+        if not cameras:
+            self._status_label.setText("No cameras found")
+            logger.warning("No cameras detected")
+            return
+
+        self._menu.populate_cameras(cameras)
+        default = CameraEnumerator.default_camera()
+        start_cam = default if default is not None else cameras[0]
+        self._menu.populate_formats(start_cam)
+        self._start_camera(start_cam)
+
+    def _start_camera(self, cam: CameraInfo) -> None:
+        self._current_camera = cam
+        self._telemetry.reset_counters()
+        self._camera_service.start(cam)
+        self._menu.set_active_camera(cam)
+        self._status_label.setText(f"Opening: {cam.name}")
+        self._open_uvc(cam)
+
+    def _open_uvc(self, cam: CameraInfo) -> None:
+        if self._uvc.is_open():
+            self._uvc.close()
+        ctrl = make_uvc_controller(cam.name)
+        if not ctrl.is_open():
+            ctrl.open(cam.name)
+        self._uvc = ctrl
+
+    # ------------------------------------------------------------------
+    # Signal wiring
+    # ------------------------------------------------------------------
+
+    def _wire_signals(self) -> None:
+        # ---- Active source → dispatcher ----
+        # (connected dynamically in _switch_to_camera / _switch_to_video)
+        self._camera_service.frame_ready.connect(self._dispatcher.dispatch)
+
+        # ---- Dispatcher fans out to all consumers ----
+        self._dispatcher.subscribe(self._camera_view.on_frame, drop_if_busy=True)
+        self._dispatcher.subscribe(self._telemetry.on_frame, drop_if_busy=False)
+        # InferenceManager subscriber added/removed dynamically on toggle
+
+        # ---- Telemetry ----
+        self._telemetry.metrics_updated.connect(
+            self._telemetry_overlay.on_metrics_updated
+        )
+        if self._csv_logger is not None:
+            self._telemetry.metrics_updated.connect(self._csv_logger.on_metrics_updated)
+        self._camera_service.format_changed.connect(self._telemetry.set_target_fps)
+
+        # ---- Camera service status ----
+        self._camera_service.camera_started.connect(self._on_camera_started)
+        self._camera_service.camera_stopped.connect(self._on_camera_stopped)
+        self._camera_service.camera_error.connect(self._on_camera_error)
+
+        # ---- Video player status ----
+        self._video_player.playback_started.connect(self._on_playback_started)
+        self._video_player.playback_stopped.connect(self._on_playback_stopped)
+        self._video_player.playback_error.connect(self._on_playback_error)
+
+        # ---- InferenceManager ----
+        self._inference.detections_ready.connect(self._bbox_overlay.on_detections)
+        self._inference.detection_count_updated.connect(self._on_detection_count_updated)
+        self._inference.inference_stats_updated.connect(self._on_inference_stats_updated)
+        self._inference.inference_started.connect(self._on_inference_started)
+        self._inference.inference_stopped.connect(self._on_inference_stopped)
+        self._inference.inference_error.connect(self._on_inference_error)
+
+        # ---- Menu ----
+        self._menu.camera_selected.connect(self._on_camera_selected)
+        self._menu.format_selected.connect(self._on_format_selected)
+        self._menu.reconnect_requested.connect(self._camera_service.reconnect)
+        self._menu.overlay_toggled.connect(self._camera_view.set_all_overlays_visible)
+        self._menu.camera_settings_requested.connect(self._on_settings_requested)
+        self._menu.video_file_selected.connect(self._on_video_selected)
+        self._menu.video_closed.connect(self._on_video_closed)
+        self._menu.model_file_selected.connect(self._on_model_selected)
+        self._menu.inference_toggled.connect(self._on_inference_toggled)
+
+    # ------------------------------------------------------------------
+    # Source switching
+    # ------------------------------------------------------------------
+
+    def _switch_to_camera(self) -> None:
+        """Disconnect VideoPlayer, connect CameraService to dispatcher."""
+        try:
+            self._video_player.frame_ready.disconnect(self._dispatcher.dispatch)
+        except RuntimeError:
+            pass
+        self._camera_service.frame_ready.connect(self._dispatcher.dispatch)
+        self._video_source_active = False
+        self._menu.set_video_source_active(False)
+
+    def _switch_to_video(self) -> None:
+        """Disconnect CameraService, connect VideoPlayer to dispatcher."""
+        try:
+            self._camera_service.frame_ready.disconnect(self._dispatcher.dispatch)
+        except RuntimeError:
+            pass
+        self._video_player.frame_ready.connect(self._dispatcher.dispatch)
+        self._video_source_active = True
+        self._menu.set_video_source_active(True)
+
+    # ------------------------------------------------------------------
+    # Camera status slots
+    # ------------------------------------------------------------------
+
+    def _on_camera_started(self) -> None:
+        cam = self._camera_service.current_camera
+        name = cam.name if cam else "Unknown"
+        self._status_label.setText(f"Streaming: {name}")
+        logger.info("Camera streaming: %s", name)
+
+    def _on_camera_stopped(self) -> None:
+        self._status_label.setText("Camera stopped")
+
+    def _on_camera_error(self, message: str) -> None:
+        self._status_label.setText(f"Error: {message}")
+        logger.error("Camera error: %s", message)
+
+    # ------------------------------------------------------------------
+    # Video player slots
+    # ------------------------------------------------------------------
+
+    def _on_playback_started(self) -> None:
+        path = self._video_player.current_path or ""
+        name = Path(path).name if path else "video"
+        self._status_label.setText(f"Playing: {name}")
+
+    def _on_playback_stopped(self) -> None:
+        self._status_label.setText("Playback finished")
+
+    def _on_playback_error(self, message: str) -> None:
+        self._status_label.setText(f"Video error: {message}")
+        logger.error(message)
+
+    # ------------------------------------------------------------------
+    # Inference slots
+    # ------------------------------------------------------------------
+
+    def _on_inference_started(self) -> None:
+        self._status_label.setText("Inference running")
+        self._menu.set_inference_checked(True)
+
+    def _on_detection_count_updated(self, count: int) -> None:
+        self._detection_label.setText(f"Detections: {count} frames")
+
+    def _on_inference_stats_updated(self, device: str, avg_ms: float) -> None:
+        self._telemetry.set_inference_stats(device, avg_ms)
+
+    def _on_inference_stopped(self) -> None:
+        self._bbox_overlay.clear()
+
+    def _on_inference_error(self, message: str) -> None:
+        logger.error("Inference: %s", message)
+        self._menu.set_inference_available(False)
+        self._menu.set_inference_checked(False)
+        self._bbox_overlay.visible = False
+        self._detection_label.setVisible(False)
+        self._telemetry.clear_inference_stats()
+        QMessageBox.critical(self, "Inference Error", message)
+
+    # ------------------------------------------------------------------
+    # Menu action slots
+    # ------------------------------------------------------------------
+
+    def _on_camera_selected(self, cam: CameraInfo) -> None:
+        if self._video_source_active:
+            self._video_player.stop()
+            self._switch_to_camera()
+        self._start_camera(cam)
+
+    def _on_format_selected(self, fmt: CameraFormat) -> None:
+        logger.info(
+            "Format selected via menu: %dx%d @ %.4g fps (%s)",
+            fmt.width, fmt.height, fmt.max_fps, fmt.pixel_format,
+        )
+        self._camera_service.set_format(fmt)
+
+    def _on_settings_requested(self) -> None:
+        qt_cam = self._camera_service.qt_camera
+        if qt_cam is None:
+            logger.warning("Settings requested but no camera is active")
+            return
+        dlg = CameraSettingsDialog(qt_cam, self._uvc, parent=self)
+        dlg.exec()
+
+    def _on_video_selected(self, path: str) -> None:
+        """Switch source to video file."""
+        self._camera_service.stop()
+        self._switch_to_video()
+        self._video_player.play(path)
+        logger.info("Video source: %s", path)
+
+    def _on_video_closed(self) -> None:
+        """Return to camera source."""
+        self._video_player.stop()
+        self._switch_to_camera()
+        if self._current_camera is not None:
+            self._start_camera(self._current_camera)
+        logger.info("Returned to camera source")
+
+    def _on_model_selected(self, path: str) -> None:
+        """Load YOLO model into inference manager."""
+        name = Path(path).name
+        logger.info("Loading model: %s", path)
+        self._status_label.setText(f"Loading model: {name}\u2026")
+        self._inference.start(path)
+        self._menu.set_model_label(name)
+        self._menu.set_inference_available(True)
+        self._menu.set_inference_checked(False)   # user must explicitly enable
+
+    def _on_inference_toggled(self, enabled: bool) -> None:
+        if enabled:
+            if not self._inference.is_running:
+                # shouldn't happen but be safe
+                logger.warning("Inference toggle on but manager not running")
+                self._menu.set_inference_checked(False)
+                return
+            self._inference.resume()
+            self._dispatcher.subscribe(
+                self._inference.submit_frame, drop_if_busy=True
+            )
+            self._bbox_overlay.visible = True
+            self._detection_label.setText("Detections: 0 frames")
+            self._detection_label.setVisible(True)
+            self._status_label.setText("Inference enabled")
+            logger.info("Inference enabled")
+        else:
+            self._inference.pause()
+            self._dispatcher.unsubscribe(self._inference.submit_frame)
+            self._bbox_overlay.clear()
+            self._bbox_overlay.visible = False
+            self._detection_label.setVisible(False)
+            self._telemetry.clear_inference_stats()
+            self._status_label.setText("Inference disabled")
+            logger.info("Inference disabled")
+
+    # ------------------------------------------------------------------
+    # Qt overrides
+    # ------------------------------------------------------------------
+
+    def closeEvent(self, event) -> None:  # noqa: N802
+        self._inference.stop()
+        self._camera_service.stop()
+        self._video_player.stop()
+        if self._uvc.is_open():
+            self._uvc.close()
+        if self._csv_logger is not None:
+            logger.info(
+                "CSV telemetry: %d rows written", self._csv_logger.rows_written
+            )
+            self._csv_logger.close()
+        super().closeEvent(event)

app/ui/menu_bar.py

@@ -0,0 +1,278 @@
+"""Menu bar — File, Camera, Video format, Image, Model and Debug controls."""
+
+from __future__ import annotations
+
+import logging
+
+from PySide6.QtCore import Signal
+from PySide6.QtGui import QAction, QActionGroup
+from PySide6.QtWidgets import QFileDialog, QMenuBar, QWidget
+
+from app.camera.camera_enumerator import CameraFormat, CameraInfo
+from app.config import MODEL_FILE_EXTENSIONS, VIDEO_FILE_EXTENSIONS
+from app.logging_setup import set_console_level
+
+logger = logging.getLogger(__name__)
+
+
+class AppMenuBar(QMenuBar):
+    """
+    Application menu bar.
+
+    Signals:
+        video_file_selected(str)    — user picked a video file path
+        video_closed()              — user chose to close video and return to camera
+        model_file_selected(str)    — user picked a .pt model file path
+        inference_toggled(bool)     — user toggled inference on/off
+        camera_selected(CameraInfo)
+        format_selected(CameraFormat)
+        reconnect_requested()
+        overlay_toggled(bool)
+        log_toggled(bool)
+        camera_settings_requested()
+    """
+
+    # File / video
+    video_file_selected = Signal(str)
+    video_closed = Signal()
+
+    # Model / inference
+    model_file_selected = Signal(str)
+    inference_toggled = Signal(bool)
+
+    # Camera
+    camera_selected = Signal(object)        # CameraInfo
+    format_selected = Signal(object)        # CameraFormat
+    reconnect_requested = Signal()
+
+    # View / debug
+    overlay_toggled = Signal(bool)
+    log_toggled = Signal(bool)
+    camera_settings_requested = Signal()
+
+    def __init__(self, parent: QWidget | None = None) -> None:
+        super().__init__(parent)
+
+        self._camera_group: QActionGroup | None = None
+        self._format_group: QActionGroup | None = None
+        self._cameras: list[CameraInfo] = []
+
+        self._build_menus()
+
+    # ------------------------------------------------------------------
+    # Public API
+    # ------------------------------------------------------------------
+
+    def populate_cameras(self, cameras: list[CameraInfo]) -> None:
+        self._cameras = cameras
+        menu = self._camera_menu
+
+        for action in list(menu.actions()):
+            if action not in (self._reconnect_action, self._cam_separator):
+                menu.removeAction(action)
+
+        self._camera_group = QActionGroup(self)
+        self._camera_group.setExclusive(True)
+
+        for cam in cameras:
+            action = QAction(cam.name, self)
+            action.setCheckable(True)
+            action.setData(cam)
+            self._camera_group.addAction(action)
+            menu.insertAction(self._cam_separator, action)
+            action.triggered.connect(self._on_camera_action)
+
+        if cameras:
+            self._camera_group.actions()[0].setChecked(True)
+
+    def populate_formats(self, camera_info: CameraInfo) -> None:
+        self._populate_format_menu(camera_info)
+
+    def set_active_camera(self, camera_info: CameraInfo) -> None:
+        if self._camera_group is None:
+            return
+        for action in self._camera_group.actions():
+            if action.data() is camera_info:
+                action.setChecked(True)
+                return
+
+    def set_active_format(self, fmt: CameraFormat) -> None:
+        if self._format_group is None:
+            return
+        for action in self._format_group.actions():
+            f: CameraFormat = action.data()
+            if (
+                f.width == fmt.width
+                and f.height == fmt.height
+                and abs(f.max_fps - fmt.max_fps) < 0.5
+                and f.pixel_format == fmt.pixel_format
+            ):
+                action.setChecked(True)
+                return
+
+    def set_log_file_path(self, path: str) -> None:
+        display = path if len(path) <= 60 else "\u2026" + path[-57:]
+        self._log_file_action.setText(f"Log: {display}")
+        self._log_file_action.setToolTip(path)
+
+    def set_video_source_active(self, is_video: bool) -> None:
+        """Update File menu state when source switches between camera and video."""
+        self._close_video_action.setEnabled(is_video)
+
+    def set_inference_available(self, available: bool) -> None:
+        """Enable/disable the inference toggle (requires model to be loaded)."""
+        self._inference_toggle_action.setEnabled(available)
+
+    def set_inference_checked(self, checked: bool) -> None:
+        self._inference_toggle_action.setChecked(checked)
+
+    def set_model_label(self, name: str) -> None:
+        """Show loaded model name as disabled info item."""
+        self._model_info_action.setText(f"Model: {name}")
+
+    # ------------------------------------------------------------------
+    # Menu construction
+    # ------------------------------------------------------------------
+
+    def _build_menus(self) -> None:
+        # --- File menu ---
+        file_menu = self.addMenu("File")
+
+        open_video_action = QAction("Open Video\u2026", self)
+        open_video_action.triggered.connect(self._on_open_video)
+        file_menu.addAction(open_video_action)
+
+        self._close_video_action = QAction("Close Video", self)
+        self._close_video_action.setEnabled(False)
+        self._close_video_action.triggered.connect(self.video_closed)
+        file_menu.addAction(self._close_video_action)
+
+        # --- Camera menu ---
+        self._camera_menu = self.addMenu("Camera")
+        self._cam_separator = self._camera_menu.addSeparator()
+        self._reconnect_action = QAction("Reconnect", self)
+        self._reconnect_action.triggered.connect(self.reconnect_requested)
+        self._camera_menu.addAction(self._reconnect_action)
+
+        # --- Video menu ---
+        self._video_menu = self.addMenu("Video")
+        self._res_menu = self._video_menu.addMenu("Resolution")
+
+        # --- Image menu ---
+        self._image_menu = self.addMenu("Image")
+        self._settings_action = QAction("Camera Settings\u2026", self)
+        self._settings_action.triggered.connect(self.camera_settings_requested)
+        self._image_menu.addAction(self._settings_action)
+
+        # --- Model menu ---
+        model_menu = self.addMenu("Model")
+
+        load_model_action = QAction("Load Model\u2026", self)
+        load_model_action.triggered.connect(self._on_load_model)
+        model_menu.addAction(load_model_action)
+
+        self._inference_toggle_action = QAction("Enable Inference", self)
+        self._inference_toggle_action.setCheckable(True)
+        self._inference_toggle_action.setChecked(False)
+        self._inference_toggle_action.setEnabled(False)   # enabled after model loaded
+        self._inference_toggle_action.toggled.connect(self.inference_toggled)
+        model_menu.addAction(self._inference_toggle_action)
+
+        model_menu.addSeparator()
+
+        self._model_info_action = QAction("Model: (none)", self)
+        self._model_info_action.setEnabled(False)
+        model_menu.addAction(self._model_info_action)
+
+        # --- Debug menu ---
+        debug_menu = self.addMenu("Debug")
+
+        self._overlay_action = QAction("Show Overlay", self)
+        self._overlay_action.setCheckable(True)
+        self._overlay_action.setChecked(True)
+        self._overlay_action.toggled.connect(self.overlay_toggled)
+        debug_menu.addAction(self._overlay_action)
+
+        self._log_action = QAction("Console Logging", self)
+        self._log_action.setCheckable(True)
+        self._log_action.setChecked(False)
+        self._log_action.toggled.connect(self._on_log_toggled)
+        debug_menu.addAction(self._log_action)
+
+        debug_menu.addSeparator()
+
+        self._log_file_action = QAction("Log: (not started)", self)
+        self._log_file_action.setEnabled(False)
+        debug_menu.addAction(self._log_file_action)
+
+    def _populate_format_menu(self, camera_info: CameraInfo) -> None:
+        self._res_menu.clear()
+        self._format_group = QActionGroup(self)
+        self._format_group.setExclusive(True)
+
+        for fmt in camera_info.formats:
+            label = (
+                f"{fmt.width}\u00d7{fmt.height}"
+                f" @ {fmt.max_fps:.4g}fps"
+                f" ({fmt.pixel_format})"
+            )
+            action = QAction(label, self)
+            action.setCheckable(True)
+            action.setData(fmt)
+            self._format_group.addAction(action)
+            self._res_menu.addAction(action)
+            action.triggered.connect(self._on_format_action)
+
+        actions = self._format_group.actions()
+        if actions:
+            actions[0].setChecked(True)
+
+    # ------------------------------------------------------------------
+    # Slots
+    # ------------------------------------------------------------------
+
+    def _on_open_video(self) -> None:
+        path, _ = QFileDialog.getOpenFileName(
+            self.parentWidget(),
+            "Open Video File",
+            "",
+            VIDEO_FILE_EXTENSIONS,
+        )
+        if path:
+            logger.debug("Video file selected: %s", path)
+            self.video_file_selected.emit(path)
+
+    def _on_load_model(self) -> None:
+        path, _ = QFileDialog.getOpenFileName(
+            self.parentWidget(),
+            "Load YOLO Model",
+            "",
+            MODEL_FILE_EXTENSIONS,
+        )
+        if path:
+            logger.debug("Model file selected: %s", path)
+            self.model_file_selected.emit(path)
+
+    def _on_camera_action(self) -> None:
+        action = self.sender()
+        if action is None:
+            return
+        cam: CameraInfo = action.data()
+        logger.debug("Camera selected: %s", cam.name)
+        self.camera_selected.emit(cam)
+        self._populate_format_menu(cam)
+
+    def _on_format_action(self) -> None:
+        action = self.sender()
+        if action is None:
+            return
+        fmt: CameraFormat = action.data()
+        logger.debug(
+            "Format selected: %dx%d @ %.4g fps (%s)",
+            fmt.width, fmt.height, fmt.max_fps, fmt.pixel_format,
+        )
+        self.format_selected.emit(fmt)
+
+    def _on_log_toggled(self, enabled: bool) -> None:
+        set_console_level(enabled)
+        self.log_toggled.emit(enabled)

app/video/video_player.py

@@ -0,0 +1,117 @@
+"""VideoPlayer — plays a local video file and delivers frames via frame_ready signal.
+
+The public interface mirrors CameraService so MainWindow can treat both
+interchangeably: both emit frame_ready(QVideoFrame).
+"""
+
+from __future__ import annotations
+
+import logging
+from pathlib import Path
+
+from PySide6.QtCore import QObject, QUrl, Signal, Slot
+from PySide6.QtMultimedia import (
+    QMediaPlayer,
+    QVideoFrame,
+    QVideoSink,
+)
+
+logger = logging.getLogger(__name__)
+
+
+class VideoPlayer(QObject):
+    """
+    Wraps QMediaPlayer + QVideoSink to replay a local video file.
+
+    Signal flow (identical interface to CameraService):
+        VideoPlayer.frame_ready(QVideoFrame) → FrameDispatcher
+
+    Notes:
+        - Playback is real-time (1×) — no seek/pause in this version.
+        - At end-of-file: emits playback_stopped() and stops.
+        - On any error: emits playback_error(str) then playback_stopped().
+    """
+
+    frame_ready = Signal(QVideoFrame)
+    playback_started = Signal()
+    playback_stopped = Signal()
+    playback_error = Signal(str)
+
+    def __init__(self, parent: QObject | None = None) -> None:
+        super().__init__(parent)
+
+        self._player = QMediaPlayer(self)
+        self._sink = QVideoSink(self)
+
+        self._player.setVideoSink(self._sink)
+
+        self._sink.videoFrameChanged.connect(self._on_frame)
+        self._player.playbackStateChanged.connect(self._on_playback_state_changed)
+        self._player.errorOccurred.connect(self._on_error)
+
+        self._current_path: str | None = None
+
+    # ------------------------------------------------------------------
+    # Public API
+    # ------------------------------------------------------------------
+
+    def play(self, path: str) -> None:
+        """Open and start playing a video file."""
+        self.stop()
+        p = Path(path)
+        if not p.exists():
+            msg = f"Video file not found: {path}"
+            logger.error(msg)
+            self.playback_error.emit(msg)
+            return
+
+        self._current_path = path
+        url = QUrl.fromLocalFile(str(p.resolve()))
+        self._player.setSource(url)
+        self._player.play()
+        logger.info("VideoPlayer: starting playback of '%s'", p.name)
+
+    def stop(self) -> None:
+        """Stop playback and clear source."""
+        if self._player.playbackState() != QMediaPlayer.PlaybackState.StoppedState:
+            self._player.stop()
+        self._player.setSource(QUrl())
+        self._current_path = None
+
+    @property
+    def is_playing(self) -> bool:
+        return (
+            self._player.playbackState()
+            == QMediaPlayer.PlaybackState.PlayingState
+        )
+
+    @property
+    def current_path(self) -> str | None:
+        return self._current_path
+
+    # ------------------------------------------------------------------
+    # Private slots
+    # ------------------------------------------------------------------
+
+    @Slot(QVideoFrame)
+    def _on_frame(self, frame: QVideoFrame) -> None:
+        if frame.isValid():
+            self.frame_ready.emit(frame)
+
+    @Slot(QMediaPlayer.PlaybackState)
+    def _on_playback_state_changed(self, state: QMediaPlayer.PlaybackState) -> None:
+        if state == QMediaPlayer.PlaybackState.PlayingState:
+            logger.info("VideoPlayer: playing")
+            self.playback_started.emit()
+        elif state == QMediaPlayer.PlaybackState.StoppedState:
+            logger.info("VideoPlayer: stopped")
+            self.playback_stopped.emit()
+
+    @Slot(QMediaPlayer.Error, str)
+    def _on_error(self, error: QMediaPlayer.Error, error_string: str) -> None:
+        if error == QMediaPlayer.Error.NoError:
+            return
+        msg = f"VideoPlayer error: {error_string}"
+        logger.error(msg)
+        self.playback_error.emit(msg)
+        self.playback_stopped.emit()

logs/camera_debug.log

@@ -0,0 +1,729 @@
+2026-05-13 15:33:20,198 [INFO] ==========================================
+2026-05-13 15:33:20,198 [INFO] VIDEO DEVICES ENUMERATION
+2026-05-13 15:33:20,198 [INFO] ==========================================
+2026-05-13 15:33:20,198 [INFO] ------------------------------------------
+2026-05-13 15:33:20,198 [INFO] KAMERA #0
+2026-05-13 15:33:20,198 [INFO] ------------------------------------------
+2026-05-13 15:33:20,198 [INFO] Description: HD USB CAMERA
+2026-05-13 15:33:20,199 [INFO] ID: 0x1420000032e40317
+2026-05-13 15:33:20,199 [INFO] Is default: True
+2026-05-13 15:33:20,200 [INFO] Liczba formatów: 11
+2026-05-13 15:33:20,200 [INFO] 
+2026-05-13 15:33:20,200 [INFO] FORMAT #0
+2026-05-13 15:33:20,200 [INFO] Resolution: 320x240
+2026-05-13 15:33:20,200 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:33:20,200 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:33:20,200 [INFO] Pixel format name: NV12
+2026-05-13 15:33:20,201 [INFO] 
+2026-05-13 15:33:20,201 [INFO] FORMAT #1
+2026-05-13 15:33:20,201 [INFO] Resolution: 640x480
+2026-05-13 15:33:20,201 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:33:20,201 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:33:20,201 [INFO] Pixel format name: NV12
+2026-05-13 15:33:20,201 [INFO] 
+2026-05-13 15:33:20,202 [INFO] FORMAT #2
+2026-05-13 15:33:20,202 [INFO] Resolution: 800x600
+2026-05-13 15:33:20,202 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:33:20,202 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:33:20,202 [INFO] Pixel format name: NV12
+2026-05-13 15:33:20,202 [INFO] 
+2026-05-13 15:33:20,203 [INFO] FORMAT #3
+2026-05-13 15:33:20,203 [INFO] Resolution: 1024x768
+2026-05-13 15:33:20,204 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:33:20,209 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:33:20,210 [INFO] Pixel format name: NV12
+2026-05-13 15:33:20,211 [INFO] 
+2026-05-13 15:33:20,211 [INFO] FORMAT #4
+2026-05-13 15:33:20,211 [INFO] Resolution: 1280x720
+2026-05-13 15:33:20,211 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:33:20,211 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:33:20,211 [INFO] Pixel format name: NV12
+2026-05-13 15:33:20,211 [INFO] 
+2026-05-13 15:33:20,211 [INFO] FORMAT #5
+2026-05-13 15:33:20,212 [INFO] Resolution: 1280x960
+2026-05-13 15:33:20,212 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:33:20,212 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:33:20,212 [INFO] Pixel format name: NV12
+2026-05-13 15:33:20,212 [INFO] 
+2026-05-13 15:33:20,212 [INFO] FORMAT #6
+2026-05-13 15:33:20,212 [INFO] Resolution: 1600x1200
+2026-05-13 15:33:20,212 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:33:20,212 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:33:20,212 [INFO] Pixel format name: NV12
+2026-05-13 15:33:20,213 [INFO] 
+2026-05-13 15:33:20,213 [INFO] FORMAT #7
+2026-05-13 15:33:20,213 [INFO] Resolution: 1920x1080
+2026-05-13 15:33:20,214 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:33:20,214 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:33:20,214 [INFO] Pixel format name: NV12
+2026-05-13 15:33:20,214 [INFO] 
+2026-05-13 15:33:20,214 [INFO] FORMAT #8
+2026-05-13 15:33:20,214 [INFO] Resolution: 2048x1536
+2026-05-13 15:33:20,215 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:33:20,215 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:33:20,215 [INFO] Pixel format name: NV12
+2026-05-13 15:33:20,215 [INFO] 
+2026-05-13 15:33:20,215 [INFO] FORMAT #9
+2026-05-13 15:33:20,215 [INFO] Resolution: 2592x1944
+2026-05-13 15:33:20,215 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:33:20,215 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:33:20,216 [INFO] Pixel format name: NV12
+2026-05-13 15:33:20,216 [INFO] 
+2026-05-13 15:33:20,216 [INFO] FORMAT #10
+2026-05-13 15:33:20,217 [INFO] Resolution: 3840x2160
+2026-05-13 15:33:20,217 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:33:20,217 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:33:20,218 [INFO] Pixel format name: NV12
+2026-05-13 15:33:20,218 [INFO] Wybrano kamerę: HD USB CAMERA
+2026-05-13 15:37:15,875 [INFO] ==========================================
+2026-05-13 15:37:15,875 [INFO] VIDEO DEVICES ENUMERATION
+2026-05-13 15:37:15,875 [INFO] ==========================================
+2026-05-13 15:37:15,875 [INFO] ------------------------------------------
+2026-05-13 15:37:15,875 [INFO] KAMERA #0
+2026-05-13 15:37:15,875 [INFO] ------------------------------------------
+2026-05-13 15:37:15,875 [INFO] Description: HD USB CAMERA
+2026-05-13 15:37:15,876 [INFO] ID: 0x1420000032e40317
+2026-05-13 15:37:15,876 [INFO] Is default: True
+2026-05-13 15:37:15,876 [INFO] Liczba formatów: 11
+2026-05-13 15:37:15,877 [INFO] 
+2026-05-13 15:37:15,877 [INFO] FORMAT #0
+2026-05-13 15:37:15,877 [INFO] Resolution: 320x240
+2026-05-13 15:37:15,877 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:37:15,877 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:37:15,877 [INFO] Pixel format name: NV12
+2026-05-13 15:37:15,877 [INFO] 
+2026-05-13 15:37:15,877 [INFO] FORMAT #1
+2026-05-13 15:37:15,877 [INFO] Resolution: 640x480
+2026-05-13 15:37:15,877 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:37:15,877 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:37:15,878 [INFO] Pixel format name: NV12
+2026-05-13 15:37:15,878 [INFO] 
+2026-05-13 15:37:15,878 [INFO] FORMAT #2
+2026-05-13 15:37:15,878 [INFO] Resolution: 800x600
+2026-05-13 15:37:15,878 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:37:15,878 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:37:15,878 [INFO] Pixel format name: NV12
+2026-05-13 15:37:15,878 [INFO] 
+2026-05-13 15:37:15,878 [INFO] FORMAT #3
+2026-05-13 15:37:15,878 [INFO] Resolution: 1024x768
+2026-05-13 15:37:15,878 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:37:15,878 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:37:15,878 [INFO] Pixel format name: NV12
+2026-05-13 15:37:15,878 [INFO] 
+2026-05-13 15:37:15,879 [INFO] FORMAT #4
+2026-05-13 15:37:15,879 [INFO] Resolution: 1280x720
+2026-05-13 15:37:15,879 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:37:15,879 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:37:15,879 [INFO] Pixel format name: NV12
+2026-05-13 15:37:15,879 [INFO] 
+2026-05-13 15:37:15,879 [INFO] FORMAT #5
+2026-05-13 15:37:15,879 [INFO] Resolution: 1280x960
+2026-05-13 15:37:15,879 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:37:15,880 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:37:15,880 [INFO] Pixel format name: NV12
+2026-05-13 15:37:15,880 [INFO] 
+2026-05-13 15:37:15,880 [INFO] FORMAT #6
+2026-05-13 15:37:15,881 [INFO] Resolution: 1600x1200
+2026-05-13 15:37:15,881 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:37:15,881 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:37:15,881 [INFO] Pixel format name: NV12
+2026-05-13 15:37:15,881 [INFO] 
+2026-05-13 15:37:15,881 [INFO] FORMAT #7
+2026-05-13 15:37:15,881 [INFO] Resolution: 1920x1080
+2026-05-13 15:37:15,881 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:37:15,881 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:37:15,881 [INFO] Pixel format name: NV12
+2026-05-13 15:37:15,881 [INFO] 
+2026-05-13 15:37:15,881 [INFO] FORMAT #8
+2026-05-13 15:37:15,881 [INFO] Resolution: 2048x1536
+2026-05-13 15:37:15,882 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:37:15,882 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:37:15,882 [INFO] Pixel format name: NV12
+2026-05-13 15:37:15,882 [INFO] 
+2026-05-13 15:37:15,882 [INFO] FORMAT #9
+2026-05-13 15:37:15,883 [INFO] Resolution: 2592x1944
+2026-05-13 15:37:15,883 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:37:15,884 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:37:15,884 [INFO] Pixel format name: NV12
+2026-05-13 15:37:15,884 [INFO] 
+2026-05-13 15:37:15,884 [INFO] FORMAT #10
+2026-05-13 15:37:15,884 [INFO] Resolution: 3840x2160
+2026-05-13 15:37:15,884 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:37:15,884 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:37:15,884 [INFO] Pixel format name: NV12
+2026-05-13 15:37:15,884 [INFO] Wybrano kamerę: HD USB CAMERA
+2026-05-13 15:37:15,933 [INFO] Próba ustawienia formatu: 1280x720 @ 30 FPS
+2026-05-13 15:37:15,933 [DEBUG] Sprawdzam format -> 320x240 FPS:5.0-30.000030517578125 PIX:PixelFormat.Format_NV12
+2026-05-13 15:37:15,933 [DEBUG] Sprawdzam format -> 640x480 FPS:5.0-30.000030517578125 PIX:PixelFormat.Format_NV12
+2026-05-13 15:37:15,933 [DEBUG] Sprawdzam format -> 800x600 FPS:5.0-30.000030517578125 PIX:PixelFormat.Format_NV12
+2026-05-13 15:37:15,933 [DEBUG] Sprawdzam format -> 1024x768 FPS:5.0-30.000030517578125 PIX:PixelFormat.Format_NV12
+2026-05-13 15:37:15,933 [DEBUG] Sprawdzam format -> 1280x720 FPS:5.0-30.000030517578125 PIX:PixelFormat.Format_NV12
+2026-05-13 15:37:15,934 [INFO] Ustawiono format kamery:
+2026-05-13 15:37:15,934 [INFO] Resolution: 1280x720
+2026-05-13 15:37:15,934 [INFO] FPS range: 5.0 - 30.000030517578125
+2026-05-13 15:37:15,934 [INFO] Pixel format: PixelFormat.Format_NV12
+2026-05-13 15:37:15,934 [INFO] 
+2026-05-13 15:37:15,934 [INFO] ==========================================
+2026-05-13 15:37:15,934 [INFO] QCAMERA RUNTIME CAPABILITIES
+2026-05-13 15:37:15,934 [INFO] ==========================================
+2026-05-13 15:37:15,934 [INFO] Camera active: False
+2026-05-13 15:37:15,934 [INFO] focusMode: FocusMode.FocusModeAuto
+2026-05-13 15:37:15,935 [INFO] exposureMode: ExposureMode.ExposureAuto
+2026-05-13 15:37:15,935 [INFO] whiteBalanceMode: WhiteBalanceMode.WhiteBalanceAuto
+2026-05-13 15:37:15,935 [INFO] flashMode: FlashMode.FlashOff
+2026-05-13 15:37:15,935 [INFO] torchMode: TorchMode.TorchOff
+2026-05-13 15:37:15,935 [INFO] 
+2026-05-13 15:37:15,935 [INFO] QT MULTIMEDIA INFO
+2026-05-13 15:37:15,935 [INFO] Backend zależy od platformy:
+2026-05-13 15:37:15,935 [INFO] - Windows -> MediaFoundation
+2026-05-13 15:37:15,935 [INFO] - Linux -> GStreamer / PipeWire / V4L2
+2026-05-13 15:37:15,935 [INFO] - macOS -> AVFoundation
+2026-05-13 15:37:16,105 [INFO] Camera active changed: True
+2026-05-13 15:37:16,106 [INFO] Kamera uruchomiona.
+2026-05-13 15:38:36,435 [INFO] Zamykanie aplikacji.
+2026-05-13 15:38:36,485 [INFO] Camera active changed: False
+2026-05-13 15:39:07,696 [INFO] ==========================================
+2026-05-13 15:39:07,696 [INFO] VIDEO DEVICES ENUMERATION
+2026-05-13 15:39:07,696 [INFO] ==========================================
+2026-05-13 15:39:07,697 [INFO] ------------------------------------------
+2026-05-13 15:39:07,697 [INFO] KAMERA #0
+2026-05-13 15:39:07,697 [INFO] ------------------------------------------
+2026-05-13 15:39:07,697 [INFO] Description: HD USB CAMERA
+2026-05-13 15:39:07,698 [INFO] ID: 0x1420000032e40317
+2026-05-13 15:39:07,698 [INFO] Is default: True
+2026-05-13 15:39:07,698 [INFO] Liczba formatów: 11
+2026-05-13 15:39:07,698 [INFO] 
+2026-05-13 15:39:07,698 [INFO] FORMAT #0
+2026-05-13 15:39:07,699 [INFO] Resolution: 320x240
+2026-05-13 15:39:07,699 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:39:07,699 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:39:07,700 [INFO] Pixel format name: NV12
+2026-05-13 15:39:07,700 [INFO] 
+2026-05-13 15:39:07,700 [INFO] FORMAT #1
+2026-05-13 15:39:07,700 [INFO] Resolution: 640x480
+2026-05-13 15:39:07,700 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:39:07,700 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:39:07,701 [INFO] Pixel format name: NV12
+2026-05-13 15:39:07,701 [INFO] 
+2026-05-13 15:39:07,701 [INFO] FORMAT #2
+2026-05-13 15:39:07,701 [INFO] Resolution: 800x600
+2026-05-13 15:39:07,701 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:39:07,701 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:39:07,701 [INFO] Pixel format name: NV12
+2026-05-13 15:39:07,702 [INFO] 
+2026-05-13 15:39:07,702 [INFO] FORMAT #3
+2026-05-13 15:39:07,702 [INFO] Resolution: 1024x768
+2026-05-13 15:39:07,702 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:39:07,702 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:39:07,702 [INFO] Pixel format name: NV12
+2026-05-13 15:39:07,702 [INFO] 
+2026-05-13 15:39:07,702 [INFO] FORMAT #4
+2026-05-13 15:39:07,702 [INFO] Resolution: 1280x720
+2026-05-13 15:39:07,702 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:39:07,702 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:39:07,703 [INFO] Pixel format name: NV12
+2026-05-13 15:39:07,703 [INFO] 
+2026-05-13 15:39:07,703 [INFO] FORMAT #5
+2026-05-13 15:39:07,703 [INFO] Resolution: 1280x960
+2026-05-13 15:39:07,703 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:39:07,703 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:39:07,703 [INFO] Pixel format name: NV12
+2026-05-13 15:39:07,704 [INFO] 
+2026-05-13 15:39:07,704 [INFO] FORMAT #6
+2026-05-13 15:39:07,704 [INFO] Resolution: 1600x1200
+2026-05-13 15:39:07,704 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:39:07,704 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:39:07,704 [INFO] Pixel format name: NV12
+2026-05-13 15:39:07,704 [INFO] 
+2026-05-13 15:39:07,704 [INFO] FORMAT #7
+2026-05-13 15:39:07,704 [INFO] Resolution: 1920x1080
+2026-05-13 15:39:07,704 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:39:07,704 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:39:07,705 [INFO] Pixel format name: NV12
+2026-05-13 15:39:07,705 [INFO] 
+2026-05-13 15:39:07,705 [INFO] FORMAT #8
+2026-05-13 15:39:07,705 [INFO] Resolution: 2048x1536
+2026-05-13 15:39:07,705 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:39:07,705 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:39:07,705 [INFO] Pixel format name: NV12
+2026-05-13 15:39:07,705 [INFO] 
+2026-05-13 15:39:07,705 [INFO] FORMAT #9
+2026-05-13 15:39:07,705 [INFO] Resolution: 2592x1944
+2026-05-13 15:39:07,706 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:39:07,706 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:39:07,707 [INFO] Pixel format name: NV12
+2026-05-13 15:39:07,707 [INFO] 
+2026-05-13 15:39:07,707 [INFO] FORMAT #10
+2026-05-13 15:39:07,708 [INFO] Resolution: 3840x2160
+2026-05-13 15:39:07,708 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:39:07,708 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:39:07,708 [INFO] Pixel format name: NV12
+2026-05-13 15:39:07,708 [INFO] Wybrano kamerę: HD USB CAMERA
+2026-05-13 15:39:07,748 [INFO] Próba ustawienia formatu: 1920x1080 @ 30 FPS
+2026-05-13 15:39:07,748 [DEBUG] Sprawdzam format -> 320x240 FPS:5.0-30.000030517578125 PIX:PixelFormat.Format_NV12
+2026-05-13 15:39:07,748 [DEBUG] Sprawdzam format -> 640x480 FPS:5.0-30.000030517578125 PIX:PixelFormat.Format_NV12
+2026-05-13 15:39:07,749 [DEBUG] Sprawdzam format -> 800x600 FPS:5.0-30.000030517578125 PIX:PixelFormat.Format_NV12
+2026-05-13 15:39:07,749 [DEBUG] Sprawdzam format -> 1024x768 FPS:5.0-30.000030517578125 PIX:PixelFormat.Format_NV12
+2026-05-13 15:39:07,749 [DEBUG] Sprawdzam format -> 1280x720 FPS:5.0-30.000030517578125 PIX:PixelFormat.Format_NV12
+2026-05-13 15:39:07,749 [DEBUG] Sprawdzam format -> 1280x960 FPS:5.0-30.000030517578125 PIX:PixelFormat.Format_NV12
+2026-05-13 15:39:07,749 [DEBUG] Sprawdzam format -> 1600x1200 FPS:5.0-30.000030517578125 PIX:PixelFormat.Format_NV12
+2026-05-13 15:39:07,749 [DEBUG] Sprawdzam format -> 1920x1080 FPS:5.0-30.000030517578125 PIX:PixelFormat.Format_NV12
+2026-05-13 15:39:07,750 [INFO] Ustawiono format kamery:
+2026-05-13 15:39:07,750 [INFO] Resolution: 1920x1080
+2026-05-13 15:39:07,750 [INFO] FPS range: 5.0 - 30.000030517578125
+2026-05-13 15:39:07,750 [INFO] Pixel format: PixelFormat.Format_NV12
+2026-05-13 15:39:07,750 [INFO] 
+2026-05-13 15:39:07,751 [INFO] ==========================================
+2026-05-13 15:39:07,751 [INFO] QCAMERA RUNTIME CAPABILITIES
+2026-05-13 15:39:07,751 [INFO] ==========================================
+2026-05-13 15:39:07,751 [INFO] Camera active: False
+2026-05-13 15:39:07,751 [INFO] focusMode: FocusMode.FocusModeAuto
+2026-05-13 15:39:07,751 [INFO] exposureMode: ExposureMode.ExposureAuto
+2026-05-13 15:39:07,752 [INFO] whiteBalanceMode: WhiteBalanceMode.WhiteBalanceAuto
+2026-05-13 15:39:07,752 [INFO] flashMode: FlashMode.FlashOff
+2026-05-13 15:39:07,752 [INFO] torchMode: TorchMode.TorchOff
+2026-05-13 15:39:07,752 [INFO] 
+2026-05-13 15:39:07,753 [INFO] QT MULTIMEDIA INFO
+2026-05-13 15:39:07,753 [INFO] Backend zależy od platformy:
+2026-05-13 15:39:07,753 [INFO] - Windows -> MediaFoundation
+2026-05-13 15:39:07,753 [INFO] - Linux -> GStreamer / PipeWire / V4L2
+2026-05-13 15:39:07,753 [INFO] - macOS -> AVFoundation
+2026-05-13 15:39:07,910 [INFO] Camera active changed: True
+2026-05-13 15:39:07,911 [INFO] Kamera uruchomiona.
+2026-05-13 15:39:27,466 [INFO] Zamykanie aplikacji.
+2026-05-13 15:39:27,491 [INFO] Camera active changed: False
+2026-05-13 15:40:23,621 [INFO] ==========================================
+2026-05-13 15:40:23,622 [INFO] VIDEO DEVICES ENUMERATION
+2026-05-13 15:40:23,622 [INFO] ==========================================
+2026-05-13 15:40:23,625 [INFO] ------------------------------------------
+2026-05-13 15:40:23,626 [INFO] KAMERA #0
+2026-05-13 15:40:23,626 [INFO] ------------------------------------------
+2026-05-13 15:40:23,626 [INFO] Description: HD USB CAMERA
+2026-05-13 15:40:23,627 [INFO] ID: 0x1420000032e40317
+2026-05-13 15:40:23,627 [INFO] Is default: True
+2026-05-13 15:40:23,627 [INFO] Liczba formatów: 11
+2026-05-13 15:40:23,627 [INFO] 
+2026-05-13 15:40:23,628 [INFO] FORMAT #0
+2026-05-13 15:40:23,628 [INFO] Resolution: 320x240
+2026-05-13 15:40:23,628 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:40:23,629 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:40:23,629 [INFO] Pixel format name: NV12
+2026-05-13 15:40:23,629 [INFO] 
+2026-05-13 15:40:23,629 [INFO] FORMAT #1
+2026-05-13 15:40:23,629 [INFO] Resolution: 640x480
+2026-05-13 15:40:23,629 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:40:23,629 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:40:23,682 [INFO] Pixel format name: NV12
+2026-05-13 15:40:23,682 [INFO] 
+2026-05-13 15:40:23,682 [INFO] FORMAT #2
+2026-05-13 15:40:23,682 [INFO] Resolution: 800x600
+2026-05-13 15:40:23,682 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:40:23,682 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:40:23,683 [INFO] Pixel format name: NV12
+2026-05-13 15:40:23,683 [INFO] 
+2026-05-13 15:40:23,683 [INFO] FORMAT #3
+2026-05-13 15:40:23,683 [INFO] Resolution: 1024x768
+2026-05-13 15:40:23,683 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:40:23,684 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:40:23,684 [INFO] Pixel format name: NV12
+2026-05-13 15:40:23,684 [INFO] 
+2026-05-13 15:40:23,684 [INFO] FORMAT #4
+2026-05-13 15:40:23,684 [INFO] Resolution: 1280x720
+2026-05-13 15:40:23,684 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:40:23,684 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:40:23,685 [INFO] Pixel format name: NV12
+2026-05-13 15:40:23,685 [INFO] 
+2026-05-13 15:40:23,685 [INFO] FORMAT #5
+2026-05-13 15:40:23,685 [INFO] Resolution: 1280x960
+2026-05-13 15:40:23,685 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:40:23,685 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:40:23,685 [INFO] Pixel format name: NV12
+2026-05-13 15:40:23,685 [INFO] 
+2026-05-13 15:40:23,686 [INFO] FORMAT #6
+2026-05-13 15:40:23,686 [INFO] Resolution: 1600x1200
+2026-05-13 15:40:23,686 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:40:23,686 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:40:23,687 [INFO] Pixel format name: NV12
+2026-05-13 15:40:23,687 [INFO] 
+2026-05-13 15:40:23,687 [INFO] FORMAT #7
+2026-05-13 15:40:23,687 [INFO] Resolution: 1920x1080
+2026-05-13 15:40:23,687 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:40:23,688 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:40:23,688 [INFO] Pixel format name: NV12
+2026-05-13 15:40:23,688 [INFO] 
+2026-05-13 15:40:23,688 [INFO] FORMAT #8
+2026-05-13 15:40:23,689 [INFO] Resolution: 2048x1536
+2026-05-13 15:40:23,689 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:40:23,689 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:40:23,689 [INFO] Pixel format name: NV12
+2026-05-13 15:40:23,689 [INFO] 
+2026-05-13 15:40:23,689 [INFO] FORMAT #9
+2026-05-13 15:40:23,690 [INFO] Resolution: 2592x1944
+2026-05-13 15:40:23,690 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:40:23,690 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:40:23,690 [INFO] Pixel format name: NV12
+2026-05-13 15:40:23,690 [INFO] 
+2026-05-13 15:40:23,690 [INFO] FORMAT #10
+2026-05-13 15:40:23,690 [INFO] Resolution: 3840x2160
+2026-05-13 15:40:23,690 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:40:23,691 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:40:23,691 [INFO] Pixel format name: NV12
+2026-05-13 15:40:23,691 [INFO] Wybrano kamerę: HD USB CAMERA
+2026-05-13 15:40:23,721 [INFO] Próba ustawienia formatu: 1920x1080 @ 30 FPS
+2026-05-13 15:40:23,721 [DEBUG] Sprawdzam format -> 320x240 FPS:5.0-30.000030517578125 PIX:PixelFormat.Format_NV12
+2026-05-13 15:40:23,721 [DEBUG] Sprawdzam format -> 640x480 FPS:5.0-30.000030517578125 PIX:PixelFormat.Format_NV12
+2026-05-13 15:40:23,721 [DEBUG] Sprawdzam format -> 800x600 FPS:5.0-30.000030517578125 PIX:PixelFormat.Format_NV12
+2026-05-13 15:40:23,722 [DEBUG] Sprawdzam format -> 1024x768 FPS:5.0-30.000030517578125 PIX:PixelFormat.Format_NV12
+2026-05-13 15:40:23,722 [DEBUG] Sprawdzam format -> 1280x720 FPS:5.0-30.000030517578125 PIX:PixelFormat.Format_NV12
+2026-05-13 15:40:23,722 [DEBUG] Sprawdzam format -> 1280x960 FPS:5.0-30.000030517578125 PIX:PixelFormat.Format_NV12
+2026-05-13 15:40:23,722 [DEBUG] Sprawdzam format -> 1600x1200 FPS:5.0-30.000030517578125 PIX:PixelFormat.Format_NV12
+2026-05-13 15:40:23,722 [DEBUG] Sprawdzam format -> 1920x1080 FPS:5.0-30.000030517578125 PIX:PixelFormat.Format_NV12
+2026-05-13 15:40:23,722 [INFO] Ustawiono format kamery:
+2026-05-13 15:40:23,723 [INFO] Resolution: 1920x1080
+2026-05-13 15:40:23,724 [INFO] FPS range: 5.0 - 30.000030517578125
+2026-05-13 15:40:23,725 [INFO] Pixel format: PixelFormat.Format_NV12
+2026-05-13 15:40:23,725 [INFO] 
+2026-05-13 15:40:23,725 [INFO] ==========================================
+2026-05-13 15:40:23,726 [INFO] QCAMERA RUNTIME CAPABILITIES
+2026-05-13 15:40:23,726 [INFO] ==========================================
+2026-05-13 15:40:23,726 [INFO] Camera active: False
+2026-05-13 15:40:23,726 [INFO] focusMode: FocusMode.FocusModeAuto
+2026-05-13 15:40:23,726 [INFO] exposureMode: ExposureMode.ExposureAuto
+2026-05-13 15:40:23,726 [INFO] whiteBalanceMode: WhiteBalanceMode.WhiteBalanceAuto
+2026-05-13 15:40:23,726 [INFO] flashMode: FlashMode.FlashOff
+2026-05-13 15:40:23,726 [INFO] torchMode: TorchMode.TorchOff
+2026-05-13 15:40:23,726 [INFO] 
+2026-05-13 15:40:23,727 [INFO] QT MULTIMEDIA INFO
+2026-05-13 15:40:23,727 [INFO] Backend zależy od platformy:
+2026-05-13 15:40:23,727 [INFO] - Windows -> MediaFoundation
+2026-05-13 15:40:23,727 [INFO] - Linux -> GStreamer / PipeWire / V4L2
+2026-05-13 15:40:23,727 [INFO] - macOS -> AVFoundation
+2026-05-13 15:40:23,935 [INFO] Camera active changed: True
+2026-05-13 15:40:23,936 [INFO] Kamera uruchomiona.
+2026-05-13 15:40:33,738 [INFO] Zamykanie aplikacji.
+2026-05-13 15:40:33,763 [INFO] Camera active changed: False
+2026-05-13 15:40:48,145 [INFO] ==========================================
+2026-05-13 15:40:48,146 [INFO] VIDEO DEVICES ENUMERATION
+2026-05-13 15:40:48,146 [INFO] ==========================================
+2026-05-13 15:40:48,146 [INFO] ------------------------------------------
+2026-05-13 15:40:48,146 [INFO] KAMERA #0
+2026-05-13 15:40:48,146 [INFO] ------------------------------------------
+2026-05-13 15:40:48,146 [INFO] Description: HD USB CAMERA
+2026-05-13 15:40:48,147 [INFO] ID: 0x1420000032e40317
+2026-05-13 15:40:48,147 [INFO] Is default: True
+2026-05-13 15:40:48,147 [INFO] Liczba formatów: 11
+2026-05-13 15:40:48,147 [INFO] 
+2026-05-13 15:40:48,147 [INFO] FORMAT #0
+2026-05-13 15:40:48,147 [INFO] Resolution: 320x240
+2026-05-13 15:40:48,147 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:40:48,148 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:40:48,148 [INFO] Pixel format name: NV12
+2026-05-13 15:40:48,148 [INFO] 
+2026-05-13 15:40:48,148 [INFO] FORMAT #1
+2026-05-13 15:40:48,148 [INFO] Resolution: 640x480
+2026-05-13 15:40:48,148 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:40:48,148 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:40:48,148 [INFO] Pixel format name: NV12
+2026-05-13 15:40:48,148 [INFO] 
+2026-05-13 15:40:48,148 [INFO] FORMAT #2
+2026-05-13 15:40:48,148 [INFO] Resolution: 800x600
+2026-05-13 15:40:48,148 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:40:48,148 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:40:48,148 [INFO] Pixel format name: NV12
+2026-05-13 15:40:48,149 [INFO] 
+2026-05-13 15:40:48,149 [INFO] FORMAT #3
+2026-05-13 15:40:48,149 [INFO] Resolution: 1024x768
+2026-05-13 15:40:48,149 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:40:48,149 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:40:48,149 [INFO] Pixel format name: NV12
+2026-05-13 15:40:48,149 [INFO] 
+2026-05-13 15:40:48,149 [INFO] FORMAT #4
+2026-05-13 15:40:48,150 [INFO] Resolution: 1280x720
+2026-05-13 15:40:48,150 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:40:48,150 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:40:48,150 [INFO] Pixel format name: NV12
+2026-05-13 15:40:48,152 [INFO] 
+2026-05-13 15:40:48,152 [INFO] FORMAT #5
+2026-05-13 15:40:48,153 [INFO] Resolution: 1280x960
+2026-05-13 15:40:48,153 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:40:48,154 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:40:48,154 [INFO] Pixel format name: NV12
+2026-05-13 15:40:48,155 [INFO] 
+2026-05-13 15:40:48,155 [INFO] FORMAT #6
+2026-05-13 15:40:48,155 [INFO] Resolution: 1600x1200
+2026-05-13 15:40:48,155 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:40:48,155 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:40:48,155 [INFO] Pixel format name: NV12
+2026-05-13 15:40:48,155 [INFO] 
+2026-05-13 15:40:48,155 [INFO] FORMAT #7
+2026-05-13 15:40:48,155 [INFO] Resolution: 1920x1080
+2026-05-13 15:40:48,155 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:40:48,155 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:40:48,155 [INFO] Pixel format name: NV12
+2026-05-13 15:40:48,155 [INFO] 
+2026-05-13 15:40:48,155 [INFO] FORMAT #8
+2026-05-13 15:40:48,155 [INFO] Resolution: 2048x1536
+2026-05-13 15:40:48,155 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:40:48,155 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:40:48,156 [INFO] Pixel format name: NV12
+2026-05-13 15:40:48,156 [INFO] 
+2026-05-13 15:40:48,156 [INFO] FORMAT #9
+2026-05-13 15:40:48,156 [INFO] Resolution: 2592x1944
+2026-05-13 15:40:48,156 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:40:48,157 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:40:48,157 [INFO] Pixel format name: NV12
+2026-05-13 15:40:48,157 [INFO] 
+2026-05-13 15:40:48,158 [INFO] FORMAT #10
+2026-05-13 15:40:48,158 [INFO] Resolution: 3840x2160
+2026-05-13 15:40:48,158 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:40:48,159 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:40:48,159 [INFO] Pixel format name: NV12
+2026-05-13 15:40:48,159 [INFO] Wybrano kamerę: HD USB CAMERA
+2026-05-13 15:40:48,196 [INFO] Próba ustawienia formatu: 1280x720 @ 30 FPS
+2026-05-13 15:40:48,196 [DEBUG] Sprawdzam format -> 320x240 FPS:5.0-30.000030517578125 PIX:PixelFormat.Format_NV12
+2026-05-13 15:40:48,196 [DEBUG] Sprawdzam format -> 640x480 FPS:5.0-30.000030517578125 PIX:PixelFormat.Format_NV12
+2026-05-13 15:40:48,196 [DEBUG] Sprawdzam format -> 800x600 FPS:5.0-30.000030517578125 PIX:PixelFormat.Format_NV12
+2026-05-13 15:40:48,196 [DEBUG] Sprawdzam format -> 1024x768 FPS:5.0-30.000030517578125 PIX:PixelFormat.Format_NV12
+2026-05-13 15:40:48,196 [DEBUG] Sprawdzam format -> 1280x720 FPS:5.0-30.000030517578125 PIX:PixelFormat.Format_NV12
+2026-05-13 15:40:48,197 [INFO] Ustawiono format kamery:
+2026-05-13 15:40:48,197 [INFO] Resolution: 1280x720
+2026-05-13 15:40:48,197 [INFO] FPS range: 5.0 - 30.000030517578125
+2026-05-13 15:40:48,197 [INFO] Pixel format: PixelFormat.Format_NV12
+2026-05-13 15:40:48,197 [INFO] 
+2026-05-13 15:40:48,197 [INFO] ==========================================
+2026-05-13 15:40:48,197 [INFO] QCAMERA RUNTIME CAPABILITIES
+2026-05-13 15:40:48,197 [INFO] ==========================================
+2026-05-13 15:40:48,197 [INFO] Camera active: False
+2026-05-13 15:40:48,197 [INFO] focusMode: FocusMode.FocusModeAuto
+2026-05-13 15:40:48,197 [INFO] exposureMode: ExposureMode.ExposureAuto
+2026-05-13 15:40:48,197 [INFO] whiteBalanceMode: WhiteBalanceMode.WhiteBalanceAuto
+2026-05-13 15:40:48,197 [INFO] flashMode: FlashMode.FlashOff
+2026-05-13 15:40:48,197 [INFO] torchMode: TorchMode.TorchOff
+2026-05-13 15:40:48,198 [INFO] 
+2026-05-13 15:40:48,198 [INFO] QT MULTIMEDIA INFO
+2026-05-13 15:40:48,198 [INFO] Backend zależy od platformy:
+2026-05-13 15:40:48,198 [INFO] - Windows -> MediaFoundation
+2026-05-13 15:40:48,198 [INFO] - Linux -> GStreamer / PipeWire / V4L2
+2026-05-13 15:40:48,198 [INFO] - macOS -> AVFoundation
+2026-05-13 15:40:48,348 [INFO] Camera active changed: True
+2026-05-13 15:40:48,348 [INFO] Kamera uruchomiona.
+2026-05-13 15:40:53,956 [INFO] Zamykanie aplikacji.
+2026-05-13 15:40:53,982 [INFO] Camera active changed: False
+2026-05-13 15:45:01,588 [INFO] ==========================================
+2026-05-13 15:45:01,588 [INFO] VIDEO DEVICES ENUMERATION
+2026-05-13 15:45:01,588 [INFO] ==========================================
+2026-05-13 15:45:01,588 [INFO] ------------------------------------------
+2026-05-13 15:45:01,588 [INFO] KAMERA #0
+2026-05-13 15:45:01,588 [INFO] ------------------------------------------
+2026-05-13 15:45:01,588 [INFO] Description: HD USB CAMERA
+2026-05-13 15:45:01,589 [INFO] ID: 0x1420000032e40317
+2026-05-13 15:45:01,589 [INFO] Is default: True
+2026-05-13 15:45:01,589 [INFO] Liczba formatów: 11
+2026-05-13 15:45:01,589 [INFO] 
+2026-05-13 15:45:01,589 [INFO] FORMAT #0
+2026-05-13 15:45:01,590 [INFO] Resolution: 320x240
+2026-05-13 15:45:01,590 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:45:01,590 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:45:01,590 [INFO] Pixel format name: NV12
+2026-05-13 15:45:01,590 [INFO] 
+2026-05-13 15:45:01,590 [INFO] FORMAT #1
+2026-05-13 15:45:01,590 [INFO] Resolution: 640x480
+2026-05-13 15:45:01,590 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:45:01,590 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:45:01,590 [INFO] Pixel format name: NV12
+2026-05-13 15:45:01,590 [INFO] 
+2026-05-13 15:45:01,590 [INFO] FORMAT #2
+2026-05-13 15:45:01,591 [INFO] Resolution: 800x600
+2026-05-13 15:45:01,591 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:45:01,591 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:45:01,591 [INFO] Pixel format name: NV12
+2026-05-13 15:45:01,591 [INFO] 
+2026-05-13 15:45:01,591 [INFO] FORMAT #3
+2026-05-13 15:45:01,591 [INFO] Resolution: 1024x768
+2026-05-13 15:45:01,591 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:45:01,591 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:45:01,591 [INFO] Pixel format name: NV12
+2026-05-13 15:45:01,591 [INFO] 
+2026-05-13 15:45:01,591 [INFO] FORMAT #4
+2026-05-13 15:45:01,592 [INFO] Resolution: 1280x720
+2026-05-13 15:45:01,592 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:45:01,592 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:45:01,592 [INFO] Pixel format name: NV12
+2026-05-13 15:45:01,592 [INFO] 
+2026-05-13 15:45:01,592 [INFO] FORMAT #5
+2026-05-13 15:45:01,592 [INFO] Resolution: 1280x960
+2026-05-13 15:45:01,592 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:45:01,592 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:45:01,593 [INFO] Pixel format name: NV12
+2026-05-13 15:45:01,593 [INFO] 
+2026-05-13 15:45:01,593 [INFO] FORMAT #6
+2026-05-13 15:45:01,593 [INFO] Resolution: 1600x1200
+2026-05-13 15:45:01,593 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:45:01,594 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:45:01,594 [INFO] Pixel format name: NV12
+2026-05-13 15:45:01,594 [INFO] 
+2026-05-13 15:45:01,594 [INFO] FORMAT #7
+2026-05-13 15:45:01,594 [INFO] Resolution: 1920x1080
+2026-05-13 15:45:01,594 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:45:01,594 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:45:01,594 [INFO] Pixel format name: NV12
+2026-05-13 15:45:01,594 [INFO] 
+2026-05-13 15:45:01,594 [INFO] FORMAT #8
+2026-05-13 15:45:01,594 [INFO] Resolution: 2048x1536
+2026-05-13 15:45:01,594 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:45:01,594 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:45:01,595 [INFO] Pixel format name: NV12
+2026-05-13 15:45:01,595 [INFO] 
+2026-05-13 15:45:01,595 [INFO] FORMAT #9
+2026-05-13 15:45:01,596 [INFO] Resolution: 2592x1944
+2026-05-13 15:45:01,596 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:45:01,596 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:45:01,596 [INFO] Pixel format name: NV12
+2026-05-13 15:45:01,596 [INFO] 
+2026-05-13 15:45:01,596 [INFO] FORMAT #10
+2026-05-13 15:45:01,597 [INFO] Resolution: 3840x2160
+2026-05-13 15:45:01,597 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:45:01,597 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:45:01,597 [INFO] Pixel format name: NV12
+2026-05-13 15:45:01,597 [INFO] Wybrano kamerę: HD USB CAMERA
+2026-05-13 15:45:01,638 [INFO] Próba ustawienia formatu: 1280x720 @ 30 FPS
+2026-05-13 15:45:01,638 [DEBUG] Sprawdzam format -> 320x240 FPS:5.0-30.000030517578125 PIX:PixelFormat.Format_NV12
+2026-05-13 15:45:01,638 [DEBUG] Sprawdzam format -> 640x480 FPS:5.0-30.000030517578125 PIX:PixelFormat.Format_NV12
+2026-05-13 15:45:01,638 [DEBUG] Sprawdzam format -> 800x600 FPS:5.0-30.000030517578125 PIX:PixelFormat.Format_NV12
+2026-05-13 15:45:01,638 [DEBUG] Sprawdzam format -> 1024x768 FPS:5.0-30.000030517578125 PIX:PixelFormat.Format_NV12
+2026-05-13 15:45:01,638 [DEBUG] Sprawdzam format -> 1280x720 FPS:5.0-30.000030517578125 PIX:PixelFormat.Format_NV12
+2026-05-13 15:45:01,638 [INFO] Ustawiono format kamery:
+2026-05-13 15:45:01,638 [INFO] Resolution: 1280x720
+2026-05-13 15:45:01,639 [INFO] FPS range: 5.0 - 30.000030517578125
+2026-05-13 15:45:01,639 [INFO] Pixel format: PixelFormat.Format_NV12
+2026-05-13 15:45:01,639 [INFO] 
+2026-05-13 15:45:01,639 [INFO] ==========================================
+2026-05-13 15:45:01,639 [INFO] QCAMERA RUNTIME CAPABILITIES
+2026-05-13 15:45:01,639 [INFO] ==========================================
+2026-05-13 15:45:01,639 [INFO] Camera active: False
+2026-05-13 15:45:01,639 [INFO] focusMode: FocusMode.FocusModeAuto
+2026-05-13 15:45:01,640 [INFO] exposureMode: ExposureMode.ExposureAuto
+2026-05-13 15:45:01,640 [INFO] whiteBalanceMode: WhiteBalanceMode.WhiteBalanceAuto
+2026-05-13 15:45:01,640 [INFO] flashMode: FlashMode.FlashOff
+2026-05-13 15:45:01,640 [INFO] torchMode: TorchMode.TorchOff
+2026-05-13 15:45:01,640 [INFO] 
+2026-05-13 15:45:01,640 [INFO] QT MULTIMEDIA INFO
+2026-05-13 15:45:01,640 [INFO] Backend zależy od platformy:
+2026-05-13 15:45:01,641 [INFO] - Windows -> MediaFoundation
+2026-05-13 15:45:01,641 [INFO] - Linux -> GStreamer / PipeWire / V4L2
+2026-05-13 15:45:01,641 [INFO] - macOS -> AVFoundation
+2026-05-13 15:45:01,787 [INFO] Camera active changed: True
+2026-05-13 15:45:01,787 [INFO] Kamera uruchomiona.
+2026-05-13 15:45:04,515 [INFO] Zamykanie aplikacji.
+2026-05-13 15:45:04,516 [INFO] Stopping camera...
+2026-05-13 15:45:04,542 [INFO] Camera active changed: False
+2026-05-13 15:45:04,542 [INFO] Detaching camera from capture session...
+2026-05-13 15:45:25,073 [INFO] ==========================================
+2026-05-13 15:45:25,074 [INFO] VIDEO DEVICES ENUMERATION
+2026-05-13 15:45:25,074 [INFO] ==========================================
+2026-05-13 15:45:25,074 [INFO] ------------------------------------------
+2026-05-13 15:45:25,074 [INFO] KAMERA #0
+2026-05-13 15:45:25,074 [INFO] ------------------------------------------
+2026-05-13 15:45:25,074 [INFO] Description: HD USB CAMERA
+2026-05-13 15:45:25,075 [INFO] ID: 0x1420000032e40317
+2026-05-13 15:45:25,075 [INFO] Is default: True
+2026-05-13 15:45:25,075 [INFO] Liczba formatów: 11
+2026-05-13 15:45:25,075 [INFO] 
+2026-05-13 15:45:25,075 [INFO] FORMAT #0
+2026-05-13 15:45:25,075 [INFO] Resolution: 320x240
+2026-05-13 15:45:25,075 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:45:25,075 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:45:25,075 [INFO] Pixel format name: NV12
+2026-05-13 15:45:25,076 [INFO] 
+2026-05-13 15:45:25,076 [INFO] FORMAT #1
+2026-05-13 15:45:25,076 [INFO] Resolution: 640x480
+2026-05-13 15:45:25,076 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:45:25,076 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:45:25,076 [INFO] Pixel format name: NV12
+2026-05-13 15:45:25,076 [INFO] 
+2026-05-13 15:45:25,076 [INFO] FORMAT #2
+2026-05-13 15:45:25,076 [INFO] Resolution: 800x600
+2026-05-13 15:45:25,076 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:45:25,076 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:45:25,076 [INFO] Pixel format name: NV12
+2026-05-13 15:45:25,077 [INFO] 
+2026-05-13 15:45:25,077 [INFO] FORMAT #3
+2026-05-13 15:45:25,077 [INFO] Resolution: 1024x768
+2026-05-13 15:45:25,077 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:45:25,077 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:45:25,077 [INFO] Pixel format name: NV12
+2026-05-13 15:45:25,077 [INFO] 
+2026-05-13 15:45:25,077 [INFO] FORMAT #4
+2026-05-13 15:45:25,077 [INFO] Resolution: 1280x720
+2026-05-13 15:45:25,078 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:45:25,078 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:45:25,078 [INFO] Pixel format name: NV12
+2026-05-13 15:45:25,078 [INFO] 
+2026-05-13 15:45:25,078 [INFO] FORMAT #5
+2026-05-13 15:45:25,078 [INFO] Resolution: 1280x960
+2026-05-13 15:45:25,079 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:45:25,079 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:45:25,080 [INFO] Pixel format name: NV12
+2026-05-13 15:45:25,080 [INFO] 
+2026-05-13 15:45:25,080 [INFO] FORMAT #6
+2026-05-13 15:45:25,081 [INFO] Resolution: 1600x1200
+2026-05-13 15:45:25,081 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:45:25,081 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:45:25,081 [INFO] Pixel format name: NV12
+2026-05-13 15:45:25,082 [INFO] 
+2026-05-13 15:45:25,082 [INFO] FORMAT #7
+2026-05-13 15:45:25,082 [INFO] Resolution: 1920x1080
+2026-05-13 15:45:25,082 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:45:25,082 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:45:25,082 [INFO] Pixel format name: NV12
+2026-05-13 15:45:25,083 [INFO] 
+2026-05-13 15:45:25,083 [INFO] FORMAT #8
+2026-05-13 15:45:25,083 [INFO] Resolution: 2048x1536
+2026-05-13 15:45:25,084 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:45:25,084 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:45:25,084 [INFO] Pixel format name: NV12
+2026-05-13 15:45:25,084 [INFO] 
+2026-05-13 15:45:25,084 [INFO] FORMAT #9
+2026-05-13 15:45:25,086 [INFO] Resolution: 2592x1944
+2026-05-13 15:45:25,087 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:45:25,088 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:45:25,088 [INFO] Pixel format name: NV12
+2026-05-13 15:45:25,088 [INFO] 
+2026-05-13 15:45:25,088 [INFO] FORMAT #10
+2026-05-13 15:45:25,088 [INFO] Resolution: 3840x2160
+2026-05-13 15:45:25,088 [INFO] FPS min/max: 5.0 / 30.000030517578125
+2026-05-13 15:45:25,088 [INFO] Pixel format enum: PixelFormat.Format_NV12
+2026-05-13 15:45:25,089 [INFO] Pixel format name: NV12
+2026-05-13 15:45:25,090 [INFO] Wybrano kamerę: HD USB CAMERA
+2026-05-13 15:45:25,135 [INFO] Próba ustawienia formatu: 1280x720 @ 30 FPS
+2026-05-13 15:45:25,135 [DEBUG] Sprawdzam format -> 320x240 FPS:5.0-30.000030517578125 PIX:PixelFormat.Format_NV12
+2026-05-13 15:45:25,136 [DEBUG] Sprawdzam format -> 640x480 FPS:5.0-30.000030517578125 PIX:PixelFormat.Format_NV12
+2026-05-13 15:45:25,136 [DEBUG] Sprawdzam format -> 800x600 FPS:5.0-30.000030517578125 PIX:PixelFormat.Format_NV12
+2026-05-13 15:45:25,136 [DEBUG] Sprawdzam format -> 1024x768 FPS:5.0-30.000030517578125 PIX:PixelFormat.Format_NV12
+2026-05-13 15:45:25,136 [DEBUG] Sprawdzam format -> 1280x720 FPS:5.0-30.000030517578125 PIX:PixelFormat.Format_NV12
+2026-05-13 15:45:25,137 [INFO] Ustawiono format kamery:
+2026-05-13 15:45:25,137 [INFO] Resolution: 1280x720
+2026-05-13 15:45:25,137 [INFO] FPS range: 5.0 - 30.000030517578125
+2026-05-13 15:45:25,137 [INFO] Pixel format: PixelFormat.Format_NV12
+2026-05-13 15:45:25,138 [INFO] 
+2026-05-13 15:45:25,138 [INFO] ==========================================
+2026-05-13 15:45:25,138 [INFO] QCAMERA RUNTIME CAPABILITIES
+2026-05-13 15:45:25,138 [INFO] ==========================================
+2026-05-13 15:45:25,138 [INFO] Camera active: False
+2026-05-13 15:45:25,138 [INFO] focusMode: FocusMode.FocusModeAuto
+2026-05-13 15:45:25,138 [INFO] exposureMode: ExposureMode.ExposureAuto
+2026-05-13 15:45:25,138 [INFO] whiteBalanceMode: WhiteBalanceMode.WhiteBalanceAuto
+2026-05-13 15:45:25,138 [INFO] flashMode: FlashMode.FlashOff
+2026-05-13 15:45:25,138 [INFO] torchMode: TorchMode.TorchOff
+2026-05-13 15:45:25,138 [INFO] 
+2026-05-13 15:45:25,138 [INFO] QT MULTIMEDIA INFO
+2026-05-13 15:45:25,138 [INFO] Backend zależy od platformy:
+2026-05-13 15:45:25,138 [INFO] - Windows -> MediaFoundation
+2026-05-13 15:45:25,139 [INFO] - Linux -> GStreamer / PipeWire / V4L2
+2026-05-13 15:45:25,139 [INFO] - macOS -> AVFoundation
+2026-05-13 15:45:25,306 [INFO] Camera active changed: True
+2026-05-13 15:45:25,307 [INFO] Kamera uruchomiona.
+2026-05-13 15:45:44,233 [INFO] Zamykanie aplikacji.
+2026-05-13 15:45:44,233 [INFO] Stopping camera...
+2026-05-13 15:45:44,279 [INFO] Camera active changed: False
+2026-05-13 15:45:44,279 [INFO] Detaching camera from capture session...

logs/duck-preview_2026-05-13_07-36-43.csv

@@ -0,0 +1,17 @@
+timestamp,fps_got,fps_req,frame_time_ms,dropped_frames,cpu_sys_pct,cpu_core_pct,mem_mb
+07:36:44.615,0.0,30.0,0.00,0,13.1,52.4,81.0
+07:36:49.644,29.0,30.0,26.86,4,7.2,28.7,110.4
+07:36:55.125,28.0,30.0,33.57,4,6.8,27.0,112.2
+07:37:00.638,31.0,30.0,37.24,7,12.4,49.8,156.7
+07:37:06.126,31.0,30.0,33.28,7,14.2,56.7,157.2
+07:37:11.143,31.0,30.0,34.84,10,14.0,56.0,169.4
+07:37:16.625,31.0,30.0,32.20,11,11.7,46.9,173.1
+07:37:22.067,31.0,30.0,37.43,14,11.8,47.3,162.7
+07:37:27.126,31.0,30.0,33.00,14,12.0,48.0,162.3
+07:37:32.137,31.0,30.0,33.05,14,13.3,53.2,162.1
+07:37:37.142,0.0,30.0,35.33,17,0.0,0.1,159.1
+07:37:42.626,0.0,30.0,35.33,17,0.0,0.1,159.1
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logs/duck-preview_2026-05-14_08-22-46.log

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+========================================================================
+  Duck Preview 0.1.0
+  Session: 2026-05-14_08-22-46
+========================================================================
+  Platform : macOS-13.7.8-x86_64-i386-64bit
+  Python   : 3.12.9
+  PySide6  : 6.11.0
+  Hardware : 4 logical CPUs, 16.0 GB RAM
+  Log file : /Users/rafalkaczka/Repos/duck-preview/logs/duck-preview_2026-05-14_08-22-46.log
+========================================================================
+
+2026-05-14 08:22:46.126 [DEBUG  ] app.logging_setup: Pruned old log: duck-preview_2026-05-13_15-40-08.log
+2026-05-14 08:22:46.206 [INFO   ] __main__: Application starting (session: 2026-05-14_08-22-46)
+2026-05-14 08:22:46.353 [INFO   ] app.ui.main_window: Telemetry CSV: /Users/rafalkaczka/Repos/duck-preview/logs/duck-preview_2026-05-14_08-22-46.csv
+2026-05-14 08:22:46.353 [DEBUG  ] app.ui.camera_view: Overlay layer added: TelemetryOverlay
+2026-05-14 08:22:46.353 [DEBUG  ] app.ui.camera_view: Overlay layer added: BboxOverlay
+2026-05-14 08:22:46.538 [DEBUG  ] app.pipeline.frame_dispatcher: Subscriber added: <bound method CameraView.on_frame of <app.ui.camera_view.CameraView(0x7f93a1f9cf40) at 0x208aecc80>> (drop_if_busy=True)
+2026-05-14 08:22:46.538 [DEBUG  ] app.pipeline.frame_dispatcher: Subscriber added: <bound method TelemetryCollector.on_frame of <app.telemetry.telemetry_collector.TelemetryCollector(0x7f93a1fa49a0) at 0x208aec100>> (drop_if_busy=False)
+2026-05-14 08:22:46.545 [INFO   ] __main__: Application shutting down
+2026-05-14 08:22:46.796 [INFO   ] app.camera.camera_enumerator: Cameras found: 1
+2026-05-14 08:22:46.797 [INFO   ] app.camera.camera_enumerator:   [0] HD USB CAMERA (id: 0x1420000032e40317)
+2026-05-14 08:22:46.797 [INFO   ] app.camera.camera_enumerator:         NV12   3840x2160 @ 30.0 fps
+2026-05-14 08:22:46.797 [INFO   ] app.camera.camera_enumerator:         NV12   2592x1944 @ 30.0 fps
+2026-05-14 08:22:46.797 [INFO   ] app.camera.camera_enumerator:         NV12   2048x1536 @ 30.0 fps
+2026-05-14 08:22:46.797 [INFO   ] app.camera.camera_enumerator:         NV12   1920x1080 @ 30.0 fps
+2026-05-14 08:22:46.797 [INFO   ] app.camera.camera_enumerator:         NV12   1600x1200 @ 30.0 fps
+2026-05-14 08:22:46.797 [INFO   ] app.camera.camera_enumerator:         NV12   1280x960 @ 30.0 fps
+2026-05-14 08:22:46.797 [INFO   ] app.camera.camera_enumerator:         NV12   1280x720 @ 30.0 fps
+2026-05-14 08:22:46.797 [INFO   ] app.camera.camera_enumerator:         NV12   1024x768 @ 30.0 fps
+2026-05-14 08:22:46.797 [INFO   ] app.camera.camera_enumerator:         NV12   800x600 @ 30.0 fps
+2026-05-14 08:22:46.797 [INFO   ] app.camera.camera_enumerator:         NV12   640x480 @ 30.0 fps
+2026-05-14 08:22:46.797 [INFO   ] app.camera.camera_enumerator:         NV12   320x240 @ 30.0 fps
+2026-05-14 08:22:46.798 [INFO   ] app.camera.camera_enumerator: Cameras found: 1
+2026-05-14 08:22:46.798 [INFO   ] app.camera.camera_enumerator:   [0] HD USB CAMERA (id: 0x1420000032e40317)
+2026-05-14 08:22:46.799 [INFO   ] app.camera.camera_enumerator:         NV12   3840x2160 @ 30.0 fps
+2026-05-14 08:22:46.799 [INFO   ] app.camera.camera_enumerator:         NV12   2592x1944 @ 30.0 fps
+2026-05-14 08:22:46.799 [INFO   ] app.camera.camera_enumerator:         NV12   2048x1536 @ 30.0 fps
+2026-05-14 08:22:46.799 [INFO   ] app.camera.camera_enumerator:         NV12   1920x1080 @ 30.0 fps
+2026-05-14 08:22:46.799 [INFO   ] app.camera.camera_enumerator:         NV12   1600x1200 @ 30.0 fps
+2026-05-14 08:22:46.799 [INFO   ] app.camera.camera_enumerator:         NV12   1280x960 @ 30.0 fps
+2026-05-14 08:22:46.799 [INFO   ] app.camera.camera_enumerator:         NV12   1280x720 @ 30.0 fps
+2026-05-14 08:22:46.799 [INFO   ] app.camera.camera_enumerator:         NV12   1024x768 @ 30.0 fps
+2026-05-14 08:22:46.799 [INFO   ] app.camera.camera_enumerator:         NV12   800x600 @ 30.0 fps
+2026-05-14 08:22:46.799 [INFO   ] app.camera.camera_enumerator:         NV12   640x480 @ 30.0 fps
+2026-05-14 08:22:46.799 [INFO   ] app.camera.camera_enumerator:         NV12   320x240 @ 30.0 fps
+2026-05-14 08:22:46.837 [INFO   ] app.camera.camera_service: Camera format requested: NV12 3840x2160 @ 30 fps
+2026-05-14 08:22:47.043 [INFO   ] app.camera.camera_service: Qt multimedia backend: AVFoundation
+2026-05-14 08:22:47.044 [INFO   ] app.camera.camera_service: Camera active: HD USB CAMERA
+2026-05-14 08:22:47.044 [INFO   ] app.camera.camera_service: Camera format ACTUAL: NV12 3840x2160 @ 30 fps
+2026-05-14 08:22:47.044 [INFO   ] app.ui.main_window: Camera streaming: HD USB CAMERA
+2026-05-14 08:22:47.044 [INFO   ] app.camera.camera_service: Camera start requested: HD USB CAMERA
+2026-05-14 08:22:47.244 [DEBUG  ] uvc: Running on macOS (Kernel release 22.6.0)
+2026-05-14 08:22:47.244 [DEBUG  ] uvc: Running on macOS Monterey or newer. Requires root privileges to detach kernel drivers.
+2026-05-14 08:22:47.249 [INFO   ] app.camera.uvc: UVC: macOS controller loaded for 'HD USB CAMERA'

logs/duck-preview_2026-05-14_08-26-40.csv

@@ -0,0 +1,5 @@
+timestamp,fps_got,fps_req,frame_time_ms,dropped_frames,cpu_sys_pct,cpu_core_pct,mem_mb
+08:26:41.655,0.0,30.0,0.00,0,18.4,73.5,106.7
+08:26:46.658,0.0,30.0,0.00,0,0.0,0.1,106.8
+08:26:52.158,0.0,30.0,0.00,0,0.0,0.1,106.8
+08:26:57.158,0.0,30.0,0.00,0,2.6,10.5,110.4

logs/duck-preview_2026-05-14_08-26-40.log

@@ -0,0 +1,61 @@
+========================================================================
+  Duck Preview 0.1.0
+  Session: 2026-05-14_08-26-40
+========================================================================
+  Platform : macOS-13.7.8-x86_64-i386-64bit
+  Python   : 3.12.9
+  PySide6  : 6.11.0
+  Hardware : 4 logical CPUs, 16.0 GB RAM
+  Log file : /Users/rafalkaczka/Repos/duck-preview/logs/duck-preview_2026-05-14_08-26-40.log
+========================================================================
+
+2026-05-14 08:26:40.289 [DEBUG  ] app.logging_setup: Pruned old log: duck-preview_2026-05-14_07-31-30.log
+2026-05-14 08:26:40.381 [INFO   ] __main__: Application starting (session: 2026-05-14_08-26-40)
+2026-05-14 08:26:40.542 [INFO   ] app.ui.main_window: Telemetry CSV: /Users/rafalkaczka/Repos/duck-preview/logs/duck-preview_2026-05-14_08-26-40.csv
+2026-05-14 08:26:40.544 [DEBUG  ] app.ui.camera_view: Overlay layer added: TelemetryOverlay
+2026-05-14 08:26:40.544 [DEBUG  ] app.ui.camera_view: Overlay layer added: BboxOverlay
+2026-05-14 08:26:40.734 [DEBUG  ] app.pipeline.frame_dispatcher: Subscriber added: <bound method CameraView.on_frame of <app.ui.camera_view.CameraView(0x7fca8f5c81b0) at 0x2062eff00>> (drop_if_busy=True)
+2026-05-14 08:26:40.734 [DEBUG  ] app.pipeline.frame_dispatcher: Subscriber added: <bound method TelemetryCollector.on_frame of <app.telemetry.telemetry_collector.TelemetryCollector(0x7fca8f3266c0) at 0x2063040c0>> (drop_if_busy=False)
+2026-05-14 08:26:40.739 [INFO   ] __main__: Application shutting down
+2026-05-14 08:26:41.035 [INFO   ] app.camera.camera_enumerator: Cameras found: 1
+2026-05-14 08:26:41.035 [INFO   ] app.camera.camera_enumerator:   [0] HD USB CAMERA (id: 0x1420000032e40317)
+2026-05-14 08:26:41.035 [INFO   ] app.camera.camera_enumerator:         NV12   3840x2160 @ 30.0 fps
+2026-05-14 08:26:41.035 [INFO   ] app.camera.camera_enumerator:         NV12   2592x1944 @ 30.0 fps
+2026-05-14 08:26:41.035 [INFO   ] app.camera.camera_enumerator:         NV12   2048x1536 @ 30.0 fps
+2026-05-14 08:26:41.035 [INFO   ] app.camera.camera_enumerator:         NV12   1920x1080 @ 30.0 fps
+2026-05-14 08:26:41.035 [INFO   ] app.camera.camera_enumerator:         NV12   1600x1200 @ 30.0 fps
+2026-05-14 08:26:41.035 [INFO   ] app.camera.camera_enumerator:         NV12   1280x960 @ 30.0 fps
+2026-05-14 08:26:41.035 [INFO   ] app.camera.camera_enumerator:         NV12   1280x720 @ 30.0 fps
+2026-05-14 08:26:41.035 [INFO   ] app.camera.camera_enumerator:         NV12   1024x768 @ 30.0 fps
+2026-05-14 08:26:41.035 [INFO   ] app.camera.camera_enumerator:         NV12   800x600 @ 30.0 fps
+2026-05-14 08:26:41.035 [INFO   ] app.camera.camera_enumerator:         NV12   640x480 @ 30.0 fps
+2026-05-14 08:26:41.035 [INFO   ] app.camera.camera_enumerator:         NV12   320x240 @ 30.0 fps
+2026-05-14 08:26:41.036 [INFO   ] app.camera.camera_enumerator: Cameras found: 1
+2026-05-14 08:26:41.036 [INFO   ] app.camera.camera_enumerator:   [0] HD USB CAMERA (id: 0x1420000032e40317)
+2026-05-14 08:26:41.036 [INFO   ] app.camera.camera_enumerator:         NV12   3840x2160 @ 30.0 fps
+2026-05-14 08:26:41.036 [INFO   ] app.camera.camera_enumerator:         NV12   2592x1944 @ 30.0 fps
+2026-05-14 08:26:41.036 [INFO   ] app.camera.camera_enumerator:         NV12   2048x1536 @ 30.0 fps
+2026-05-14 08:26:41.036 [INFO   ] app.camera.camera_enumerator:         NV12   1920x1080 @ 30.0 fps
+2026-05-14 08:26:41.036 [INFO   ] app.camera.camera_enumerator:         NV12   1600x1200 @ 30.0 fps
+2026-05-14 08:26:41.036 [INFO   ] app.camera.camera_enumerator:         NV12   1280x960 @ 30.0 fps
+2026-05-14 08:26:41.036 [INFO   ] app.camera.camera_enumerator:         NV12   1280x720 @ 30.0 fps
+2026-05-14 08:26:41.037 [INFO   ] app.camera.camera_enumerator:         NV12   1024x768 @ 30.0 fps
+2026-05-14 08:26:41.037 [INFO   ] app.camera.camera_enumerator:         NV12   800x600 @ 30.0 fps
+2026-05-14 08:26:41.037 [INFO   ] app.camera.camera_enumerator:         NV12   640x480 @ 30.0 fps
+2026-05-14 08:26:41.037 [INFO   ] app.camera.camera_enumerator:         NV12   320x240 @ 30.0 fps
+2026-05-14 08:26:41.072 [INFO   ] app.camera.camera_service: Camera format requested: NV12 3840x2160 @ 30 fps
+2026-05-14 08:26:41.227 [INFO   ] app.camera.camera_service: Qt multimedia backend: AVFoundation
+2026-05-14 08:26:41.227 [INFO   ] app.camera.camera_service: Camera active: HD USB CAMERA
+2026-05-14 08:26:41.228 [INFO   ] app.camera.camera_service: Camera format ACTUAL: NV12 3840x2160 @ 30 fps
+2026-05-14 08:26:41.228 [INFO   ] app.ui.main_window: Camera streaming: HD USB CAMERA
+2026-05-14 08:26:41.228 [INFO   ] app.camera.camera_service: Camera start requested: HD USB CAMERA
+2026-05-14 08:26:41.517 [DEBUG  ] uvc: Running on macOS (Kernel release 22.6.0)
+2026-05-14 08:26:41.517 [DEBUG  ] uvc: Running on macOS Monterey or newer. Requires root privileges to detach kernel drivers.
+2026-05-14 08:26:41.525 [INFO   ] app.camera.uvc: UVC: macOS controller loaded for 'HD USB CAMERA'
+2026-05-14 08:26:41.556 [DEBUG  ] uvc: Found device that mached uid: 20:11
+2026-05-14 08:26:41.568 [DEBUG  ] uvc: Device info: {'name': 'HD USB CAMERA', 'manufacturer': '4K USB CAMERA', 'serialNumber': '01.00.00', 'idProduct': 791, 'idVendor': 13028, 'device_address': 11, 'bus_number': 20, 'uid': '20:11'}
+2026-05-14 08:26:41.581 [WARNING] app.camera.uvc.macos: UVC macOS open failed: Could not open device. Error: Access denied
+2026-05-14 08:26:59.636 [INFO   ] app.inference.worker_manager: Inference worker stopped
+2026-05-14 08:26:59.660 [INFO   ] app.camera.camera_service: Camera inactive
+2026-05-14 08:26:59.660 [DEBUG  ] app.camera.camera_service: Camera stopped (internal)
+2026-05-14 08:26:59.660 [INFO   ] app.ui.main_window: CSV telemetry: 4 rows written

logs/duck-preview_2026-05-14_08-29-28.csv

@@ -0,0 +1,34 @@
+timestamp,fps_got,fps_req,frame_time_ms,dropped_frames,cpu_sys_pct,cpu_core_pct,mem_mb
+08:29:31.177,0.0,30.0,0.00,0,13.9,55.5,106.5
+08:29:36.279,0.0,30.0,0.00,0,0.0,0.1,106.7
+08:29:41.778,0.0,30.0,0.00,0,0.0,0.1,110.0
+08:29:47.278,0.0,30.0,0.00,0,0.0,0.1,109.9
+08:29:52.777,0.0,30.0,0.00,0,1.0,4.1,110.0
+08:29:57.778,0.0,30.0,0.00,0,0.0,0.1,110.0
+08:30:02.779,0.0,30.0,0.00,0,0.0,0.1,110.0
+08:30:08.278,0.0,30.0,0.00,0,0.0,0.1,110.0
+08:30:13.279,0.0,30.0,0.00,0,0.0,0.1,110.0
+08:30:18.778,0.0,30.0,0.00,0,0.0,0.1,110.0
+08:30:23.779,0.0,30.0,0.00,0,0.0,0.1,110.0
+08:30:29.279,0.0,30.0,0.00,0,0.0,0.1,110.0
+08:30:34.279,0.0,30.0,0.00,0,0.0,0.1,110.0
+08:30:39.779,0.0,30.0,0.00,0,0.0,0.1,110.0
+08:30:44.779,0.0,30.0,0.00,0,0.0,0.1,110.0
+08:30:50.279,0.0,30.0,0.00,0,0.0,0.1,110.0
+08:30:55.279,0.0,30.0,0.00,0,0.0,0.1,110.0
+08:31:00.779,0.0,30.0,0.00,0,0.0,0.1,110.0
+08:31:06.279,0.0,30.0,0.00,0,0.0,0.1,110.0
+08:31:11.279,0.0,30.0,0.00,0,0.0,0.1,110.0
+08:31:16.779,0.0,30.0,0.00,0,0.0,0.1,110.0
+08:31:22.279,0.0,30.0,0.00,0,0.0,0.1,110.0
+08:31:27.279,0.0,30.0,0.00,0,0.0,0.1,110.0
+08:31:32.779,0.0,30.0,0.00,0,0.0,0.1,110.0
+08:31:38.279,0.0,30.0,0.00,0,0.0,0.1,110.0
+08:31:43.779,0.0,30.0,0.00,0,0.0,0.1,110.0
+08:31:49.279,0.0,30.0,0.00,0,0.0,0.1,110.0
+08:31:54.779,0.0,30.0,0.00,0,0.0,0.1,110.0
+08:32:00.279,0.0,30.0,0.00,0,0.0,0.1,110.0
+08:32:05.279,0.0,30.0,0.00,0,0.0,0.1,110.0
+08:32:10.779,0.0,30.0,0.00,0,0.0,0.1,110.0
+08:32:16.279,0.0,30.0,0.00,0,0.0,0.1,110.0
+08:32:21.279,0.0,30.0,0.00,0,0.0,0.1,110.0

logs/duck-preview_2026-05-14_08-29-28.log

@@ -0,0 +1,61 @@
+========================================================================
+  Duck Preview 0.1.0
+  Session: 2026-05-14_08-29-28
+========================================================================
+  Platform : macOS-13.7.8-x86_64-i386-64bit
+  Python   : 3.12.9
+  PySide6  : 6.11.0
+  Hardware : 4 logical CPUs, 16.0 GB RAM
+  Log file : /Users/rafalkaczka/Repos/duck-preview/logs/duck-preview_2026-05-14_08-29-28.log
+========================================================================
+
+2026-05-14 08:29:28.706 [DEBUG  ] app.logging_setup: Pruned old log: duck-preview_2026-05-14_07-43-06.log
+2026-05-14 08:29:28.976 [INFO   ] __main__: Application starting (session: 2026-05-14_08-29-28)
+2026-05-14 08:29:29.395 [INFO   ] app.ui.main_window: Telemetry CSV: /Users/rafalkaczka/Repos/duck-preview/logs/duck-preview_2026-05-14_08-29-28.csv
+2026-05-14 08:29:29.399 [DEBUG  ] app.ui.camera_view: Overlay layer added: TelemetryOverlay
+2026-05-14 08:29:29.399 [DEBUG  ] app.ui.camera_view: Overlay layer added: BboxOverlay
+2026-05-14 08:29:29.787 [DEBUG  ] app.pipeline.frame_dispatcher: Subscriber added: <bound method CameraView.on_frame of <app.ui.camera_view.CameraView(0x7fbc9a83d070) at 0x205680a40>> (drop_if_busy=True)
+2026-05-14 08:29:29.787 [DEBUG  ] app.pipeline.frame_dispatcher: Subscriber added: <bound method TelemetryCollector.on_frame of <app.telemetry.telemetry_collector.TelemetryCollector(0x7fbc98e77f70) at 0x200abfec0>> (drop_if_busy=False)
+2026-05-14 08:29:29.800 [INFO   ] __main__: Application shutting down
+2026-05-14 08:29:30.254 [INFO   ] app.camera.camera_enumerator: Cameras found: 1
+2026-05-14 08:29:30.255 [INFO   ] app.camera.camera_enumerator:   [0] HD USB CAMERA (id: 0x1420000032e40317)
+2026-05-14 08:29:30.255 [INFO   ] app.camera.camera_enumerator:         NV12   3840x2160 @ 30.0 fps
+2026-05-14 08:29:30.255 [INFO   ] app.camera.camera_enumerator:         NV12   2592x1944 @ 30.0 fps
+2026-05-14 08:29:30.255 [INFO   ] app.camera.camera_enumerator:         NV12   2048x1536 @ 30.0 fps
+2026-05-14 08:29:30.255 [INFO   ] app.camera.camera_enumerator:         NV12   1920x1080 @ 30.0 fps
+2026-05-14 08:29:30.255 [INFO   ] app.camera.camera_enumerator:         NV12   1600x1200 @ 30.0 fps
+2026-05-14 08:29:30.255 [INFO   ] app.camera.camera_enumerator:         NV12   1280x960 @ 30.0 fps
+2026-05-14 08:29:30.255 [INFO   ] app.camera.camera_enumerator:         NV12   1280x720 @ 30.0 fps
+2026-05-14 08:29:30.255 [INFO   ] app.camera.camera_enumerator:         NV12   1024x768 @ 30.0 fps
+2026-05-14 08:29:30.255 [INFO   ] app.camera.camera_enumerator:         NV12   800x600 @ 30.0 fps
+2026-05-14 08:29:30.255 [INFO   ] app.camera.camera_enumerator:         NV12   640x480 @ 30.0 fps
+2026-05-14 08:29:30.255 [INFO   ] app.camera.camera_enumerator:         NV12   320x240 @ 30.0 fps
+2026-05-14 08:29:30.256 [INFO   ] app.camera.camera_enumerator: Cameras found: 1
+2026-05-14 08:29:30.256 [INFO   ] app.camera.camera_enumerator:   [0] HD USB CAMERA (id: 0x1420000032e40317)
+2026-05-14 08:29:30.256 [INFO   ] app.camera.camera_enumerator:         NV12   3840x2160 @ 30.0 fps
+2026-05-14 08:29:30.256 [INFO   ] app.camera.camera_enumerator:         NV12   2592x1944 @ 30.0 fps
+2026-05-14 08:29:30.256 [INFO   ] app.camera.camera_enumerator:         NV12   2048x1536 @ 30.0 fps
+2026-05-14 08:29:30.256 [INFO   ] app.camera.camera_enumerator:         NV12   1920x1080 @ 30.0 fps
+2026-05-14 08:29:30.256 [INFO   ] app.camera.camera_enumerator:         NV12   1600x1200 @ 30.0 fps
+2026-05-14 08:29:30.256 [INFO   ] app.camera.camera_enumerator:         NV12   1280x960 @ 30.0 fps
+2026-05-14 08:29:30.256 [INFO   ] app.camera.camera_enumerator:         NV12   1280x720 @ 30.0 fps
+2026-05-14 08:29:30.257 [INFO   ] app.camera.camera_enumerator:         NV12   1024x768 @ 30.0 fps
+2026-05-14 08:29:30.257 [INFO   ] app.camera.camera_enumerator:         NV12   800x600 @ 30.0 fps
+2026-05-14 08:29:30.257 [INFO   ] app.camera.camera_enumerator:         NV12   640x480 @ 30.0 fps
+2026-05-14 08:29:30.257 [INFO   ] app.camera.camera_enumerator:         NV12   320x240 @ 30.0 fps
+2026-05-14 08:29:30.298 [INFO   ] app.camera.camera_service: Camera format requested: NV12 3840x2160 @ 30 fps
+2026-05-14 08:29:30.493 [INFO   ] app.camera.camera_service: Qt multimedia backend: AVFoundation
+2026-05-14 08:29:30.493 [INFO   ] app.camera.camera_service: Camera active: HD USB CAMERA
+2026-05-14 08:29:30.494 [INFO   ] app.camera.camera_service: Camera format ACTUAL: NV12 3840x2160 @ 30 fps
+2026-05-14 08:29:30.494 [INFO   ] app.ui.main_window: Camera streaming: HD USB CAMERA
+2026-05-14 08:29:30.494 [INFO   ] app.camera.camera_service: Camera start requested: HD USB CAMERA
+2026-05-14 08:29:31.029 [DEBUG  ] uvc: Running on macOS (Kernel release 22.6.0)
+2026-05-14 08:29:31.029 [DEBUG  ] uvc: Running on macOS Monterey or newer. Requires root privileges to detach kernel drivers.
+2026-05-14 08:29:31.037 [INFO   ] app.camera.uvc: UVC: macOS controller loaded for 'HD USB CAMERA'
+2026-05-14 08:29:31.072 [DEBUG  ] uvc: Found device that mached uid: 20:10
+2026-05-14 08:29:31.084 [DEBUG  ] uvc: Device info: {'name': 'HD USB CAMERA', 'manufacturer': '4K USB CAMERA', 'serialNumber': '01.00.00', 'idProduct': 791, 'idVendor': 13028, 'device_address': 10, 'bus_number': 20, 'uid': '20:10'}
+2026-05-14 08:29:31.098 [WARNING] app.camera.uvc.macos: UVC macOS open failed: Could not open device. Error: Access denied
+2026-05-14 08:32:26.267 [INFO   ] app.inference.worker_manager: Inference worker stopped
+2026-05-14 08:32:26.288 [INFO   ] app.camera.camera_service: Camera inactive
+2026-05-14 08:32:26.288 [DEBUG  ] app.camera.camera_service: Camera stopped (internal)
+2026-05-14 08:32:26.289 [INFO   ] app.ui.main_window: CSV telemetry: 33 rows written

logs/duck-preview_2026-05-14_08-34-26.csv

@@ -0,0 +1,10 @@
+timestamp,fps_got,fps_req,frame_time_ms,dropped_frames,cpu_sys_pct,cpu_core_pct,mem_mb
+08:34:27.798,0.0,30.0,0.00,0,14.2,57.0,80.7
+08:34:33.285,25.0,30.0,40.25,0,6.3,25.1,113.8
+08:34:38.778,24.0,30.0,40.27,0,6.1,24.4,116.3
+08:34:43.781,25.0,30.0,40.70,1,6.9,27.6,117.7
+08:34:48.786,25.0,30.0,45.56,4,9.9,39.7,157.4
+08:34:54.278,24.0,30.0,40.44,4,11.3,45.1,156.9
+08:34:59.778,25.0,30.0,40.53,4,11.4,45.6,157.7
+08:35:04.788,25.0,30.0,40.65,5,10.4,41.5,160.7
+08:35:10.278,24.0,30.0,40.43,5,9.7,38.7,160.2

logs/duck-preview_2026-05-14_08-34-26.log

@@ -0,0 +1,62 @@
+========================================================================
+  Duck Preview 0.1.0
+  Session: 2026-05-14_08-34-26
+========================================================================
+  Platform : macOS-13.7.8-x86_64-i386-64bit
+  Python   : 3.12.9
+  PySide6  : 6.11.0
+  Hardware : 4 logical CPUs, 16.0 GB RAM
+  Log file : /Users/rafalkaczka/Repos/duck-preview/logs/duck-preview_2026-05-14_08-34-26.log
+========================================================================
+
+2026-05-14 08:34:26.868 [DEBUG  ] app.logging_setup: Pruned old log: duck-preview_2026-05-14_07-43-53.log
+2026-05-14 08:34:26.922 [INFO   ] __main__: Application starting (session: 2026-05-14_08-34-26)
+2026-05-14 08:34:27.054 [INFO   ] app.ui.main_window: Telemetry CSV: /Users/rafalkaczka/Repos/duck-preview/logs/duck-preview_2026-05-14_08-34-26.csv
+2026-05-14 08:34:27.055 [DEBUG  ] app.ui.camera_view: Overlay layer added: TelemetryOverlay
+2026-05-14 08:34:27.238 [DEBUG  ] app.pipeline.frame_dispatcher: Subscriber added: <bound method CameraView.on_frame of <app.ui.camera_view.CameraView(0x7f8c82231fb0) at 0x20959e400>> (drop_if_busy=True)
+2026-05-14 08:34:27.238 [DEBUG  ] app.pipeline.frame_dispatcher: Subscriber added: <bound method TelemetryCollector.on_frame of <app.telemetry.telemetry_collector.TelemetryCollector(0x7f8c8176ec80) at 0x20959eb00>> (drop_if_busy=False)
+2026-05-14 08:34:27.242 [INFO   ] __main__: Application shutting down
+2026-05-14 08:34:27.465 [INFO   ] app.camera.camera_enumerator: Cameras found: 1
+2026-05-14 08:34:27.465 [INFO   ] app.camera.camera_enumerator:   [0] HD USB CAMERA (id: 0x1420000032e40317)
+2026-05-14 08:34:27.465 [INFO   ] app.camera.camera_enumerator:         NV12   3840x2160 @ 30.0 fps
+2026-05-14 08:34:27.466 [INFO   ] app.camera.camera_enumerator:         NV12   2592x1944 @ 30.0 fps
+2026-05-14 08:34:27.466 [INFO   ] app.camera.camera_enumerator:         NV12   2048x1536 @ 30.0 fps
+2026-05-14 08:34:27.466 [INFO   ] app.camera.camera_enumerator:         NV12   1920x1080 @ 30.0 fps
+2026-05-14 08:34:27.466 [INFO   ] app.camera.camera_enumerator:         NV12   1600x1200 @ 30.0 fps
+2026-05-14 08:34:27.466 [INFO   ] app.camera.camera_enumerator:         NV12   1280x960 @ 30.0 fps
+2026-05-14 08:34:27.466 [INFO   ] app.camera.camera_enumerator:         NV12   1280x720 @ 30.0 fps
+2026-05-14 08:34:27.466 [INFO   ] app.camera.camera_enumerator:         NV12   1024x768 @ 30.0 fps
+2026-05-14 08:34:27.466 [INFO   ] app.camera.camera_enumerator:         NV12   800x600 @ 30.0 fps
+2026-05-14 08:34:27.466 [INFO   ] app.camera.camera_enumerator:         NV12   640x480 @ 30.0 fps
+2026-05-14 08:34:27.466 [INFO   ] app.camera.camera_enumerator:         NV12   320x240 @ 30.0 fps
+2026-05-14 08:34:27.467 [INFO   ] app.camera.camera_enumerator: Cameras found: 1
+2026-05-14 08:34:27.468 [INFO   ] app.camera.camera_enumerator:   [0] HD USB CAMERA (id: 0x1420000032e40317)
+2026-05-14 08:34:27.468 [INFO   ] app.camera.camera_enumerator:         NV12   3840x2160 @ 30.0 fps
+2026-05-14 08:34:27.468 [INFO   ] app.camera.camera_enumerator:         NV12   2592x1944 @ 30.0 fps
+2026-05-14 08:34:27.468 [INFO   ] app.camera.camera_enumerator:         NV12   2048x1536 @ 30.0 fps
+2026-05-14 08:34:27.468 [INFO   ] app.camera.camera_enumerator:         NV12   1920x1080 @ 30.0 fps
+2026-05-14 08:34:27.468 [INFO   ] app.camera.camera_enumerator:         NV12   1600x1200 @ 30.0 fps
+2026-05-14 08:34:27.468 [INFO   ] app.camera.camera_enumerator:         NV12   1280x960 @ 30.0 fps
+2026-05-14 08:34:27.468 [INFO   ] app.camera.camera_enumerator:         NV12   1280x720 @ 30.0 fps
+2026-05-14 08:34:27.468 [INFO   ] app.camera.camera_enumerator:         NV12   1024x768 @ 30.0 fps
+2026-05-14 08:34:27.468 [INFO   ] app.camera.camera_enumerator:         NV12   800x600 @ 30.0 fps
+2026-05-14 08:34:27.468 [INFO   ] app.camera.camera_enumerator:         NV12   640x480 @ 30.0 fps
+2026-05-14 08:34:27.468 [INFO   ] app.camera.camera_enumerator:         NV12   320x240 @ 30.0 fps
+2026-05-14 08:34:27.502 [INFO   ] app.camera.camera_service: Camera format requested: NV12 1280x720 @ 30.0 fps
+2026-05-14 08:34:27.725 [INFO   ] app.camera.camera_service: Qt multimedia backend: AVFoundation
+2026-05-14 08:34:27.725 [INFO   ] app.camera.camera_service: Camera active: HD USB CAMERA
+2026-05-14 08:34:27.725 [INFO   ] app.camera.camera_service: Camera format ACTUAL: NV12 1280x720 @ 30.0 fps
+2026-05-14 08:34:27.725 [INFO   ] app.ui.main_window: Camera streaming: HD USB CAMERA
+2026-05-14 08:34:27.726 [INFO   ] app.camera.camera_service: Camera start requested: HD USB CAMERA
+2026-05-14 08:34:44.493 [DEBUG  ] app.ui.menu_bar: Resolution selected: 1920x1080
+2026-05-14 08:34:44.493 [INFO   ] app.camera.camera_service: Resolution change: 1920x1080 — restarting camera
+2026-05-14 08:34:44.543 [INFO   ] app.camera.camera_service: Camera inactive
+2026-05-14 08:34:44.543 [DEBUG  ] app.camera.camera_service: Camera stopped (internal)
+2026-05-14 08:34:44.569 [INFO   ] app.camera.camera_service: Camera format requested: NV12 1920x1080 @ 30.0 fps
+2026-05-14 08:34:44.658 [INFO   ] app.camera.camera_service: Camera active: HD USB CAMERA
+2026-05-14 08:34:44.658 [INFO   ] app.camera.camera_service: Camera format ACTUAL: NV12 1920x1080 @ 30.0 fps
+2026-05-14 08:34:44.658 [INFO   ] app.ui.main_window: Camera streaming: HD USB CAMERA
+2026-05-14 08:34:44.658 [INFO   ] app.camera.camera_service: Camera start requested: HD USB CAMERA
+2026-05-14 08:35:14.675 [INFO   ] app.camera.camera_service: Camera inactive
+2026-05-14 08:35:14.675 [DEBUG  ] app.camera.camera_service: Camera stopped (internal)
+2026-05-14 08:35:14.675 [INFO   ] app.ui.main_window: CSV telemetry: 9 rows written

logs/duck-preview_2026-05-14_08-40-01.csv

@@ -0,0 +1,3 @@
+timestamp,fps_got,fps_req,frame_time_ms,dropped_frames,cpu_sys_pct,cpu_core_pct,mem_mb
+08:40:02.523,0.0,30.0,0.00,0,19.9,79.7,104.8
+08:40:07.778,0.0,30.0,0.00,0,0.0,0.1,104.9

logs/duck-preview_2026-05-14_08-40-01.log

@@ -0,0 +1,59 @@
+========================================================================
+  Duck Preview 0.1.0
+  Session: 2026-05-14_08-40-01
+========================================================================
+  Platform : macOS-13.7.8-x86_64-i386-64bit
+  Python   : 3.12.9
+  PySide6  : 6.11.0
+  Hardware : 4 logical CPUs, 16.0 GB RAM
+  Log file : /Users/rafalkaczka/Repos/duck-preview/logs/duck-preview_2026-05-14_08-40-01.log
+========================================================================
+
+2026-05-14 08:40:01.323 [DEBUG  ] app.logging_setup: Pruned old log: duck-preview_2026-05-14_07-48-53.log
+2026-05-14 08:40:01.384 [INFO   ] __main__: Application starting (session: 2026-05-14_08-40-01)
+2026-05-14 08:40:01.532 [INFO   ] app.ui.main_window: Telemetry CSV: /Users/rafalkaczka/Repos/duck-preview/logs/duck-preview_2026-05-14_08-40-01.csv
+2026-05-14 08:40:01.532 [DEBUG  ] app.ui.camera_view: Overlay layer added: TelemetryOverlay
+2026-05-14 08:40:01.724 [DEBUG  ] app.pipeline.frame_dispatcher: Subscriber added: <bound method CameraView.on_frame of <app.ui.camera_view.CameraView(0x7f9a95074610) at 0x20799de80>> (drop_if_busy=True)
+2026-05-14 08:40:01.724 [DEBUG  ] app.pipeline.frame_dispatcher: Subscriber added: <bound method TelemetryCollector.on_frame of <app.telemetry.telemetry_collector.TelemetryCollector(0x7f9a95073260) at 0x20799e580>> (drop_if_busy=False)
+2026-05-14 08:40:01.730 [INFO   ] __main__: Application shutting down
+2026-05-14 08:40:01.968 [INFO   ] app.camera.camera_enumerator: Cameras found: 1
+2026-05-14 08:40:01.968 [INFO   ] app.camera.camera_enumerator:   [0] HD USB CAMERA (id: 0x1420000032e40317)
+2026-05-14 08:40:01.968 [INFO   ] app.camera.camera_enumerator:         NV12   3840x2160 @ 30.0 fps
+2026-05-14 08:40:01.968 [INFO   ] app.camera.camera_enumerator:         NV12   2592x1944 @ 30.0 fps
+2026-05-14 08:40:01.969 [INFO   ] app.camera.camera_enumerator:         NV12   2048x1536 @ 30.0 fps
+2026-05-14 08:40:01.969 [INFO   ] app.camera.camera_enumerator:         NV12   1920x1080 @ 30.0 fps
+2026-05-14 08:40:01.969 [INFO   ] app.camera.camera_enumerator:         NV12   1600x1200 @ 30.0 fps
+2026-05-14 08:40:01.969 [INFO   ] app.camera.camera_enumerator:         NV12   1280x960 @ 30.0 fps
+2026-05-14 08:40:01.969 [INFO   ] app.camera.camera_enumerator:         NV12   1280x720 @ 30.0 fps
+2026-05-14 08:40:01.969 [INFO   ] app.camera.camera_enumerator:         NV12   1024x768 @ 30.0 fps
+2026-05-14 08:40:01.969 [INFO   ] app.camera.camera_enumerator:         NV12   800x600 @ 30.0 fps
+2026-05-14 08:40:01.969 [INFO   ] app.camera.camera_enumerator:         NV12   640x480 @ 30.0 fps
+2026-05-14 08:40:01.969 [INFO   ] app.camera.camera_enumerator:         NV12   320x240 @ 30.0 fps
+2026-05-14 08:40:01.970 [INFO   ] app.camera.camera_enumerator: Cameras found: 1
+2026-05-14 08:40:01.970 [INFO   ] app.camera.camera_enumerator:   [0] HD USB CAMERA (id: 0x1420000032e40317)
+2026-05-14 08:40:01.970 [INFO   ] app.camera.camera_enumerator:         NV12   3840x2160 @ 30.0 fps
+2026-05-14 08:40:01.970 [INFO   ] app.camera.camera_enumerator:         NV12   2592x1944 @ 30.0 fps
+2026-05-14 08:40:01.970 [INFO   ] app.camera.camera_enumerator:         NV12   2048x1536 @ 30.0 fps
+2026-05-14 08:40:01.970 [INFO   ] app.camera.camera_enumerator:         NV12   1920x1080 @ 30.0 fps
+2026-05-14 08:40:01.970 [INFO   ] app.camera.camera_enumerator:         NV12   1600x1200 @ 30.0 fps
+2026-05-14 08:40:01.970 [INFO   ] app.camera.camera_enumerator:         NV12   1280x960 @ 30.0 fps
+2026-05-14 08:40:01.970 [INFO   ] app.camera.camera_enumerator:         NV12   1280x720 @ 30.0 fps
+2026-05-14 08:40:01.971 [INFO   ] app.camera.camera_enumerator:         NV12   1024x768 @ 30.0 fps
+2026-05-14 08:40:01.971 [INFO   ] app.camera.camera_enumerator:         NV12   800x600 @ 30.0 fps
+2026-05-14 08:40:01.971 [INFO   ] app.camera.camera_enumerator:         NV12   640x480 @ 30.0 fps
+2026-05-14 08:40:01.971 [INFO   ] app.camera.camera_enumerator:         NV12   320x240 @ 30.0 fps
+2026-05-14 08:40:02.006 [INFO   ] app.camera.camera_service: Camera format requested: NV12 3840x2160 @ 30 fps
+2026-05-14 08:40:02.231 [INFO   ] app.camera.camera_service: Qt multimedia backend: AVFoundation
+2026-05-14 08:40:02.231 [INFO   ] app.camera.camera_service: Camera active: HD USB CAMERA
+2026-05-14 08:40:02.231 [INFO   ] app.camera.camera_service: Camera format ACTUAL: NV12 3840x2160 @ 30 fps
+2026-05-14 08:40:02.231 [INFO   ] app.ui.main_window: Camera streaming: HD USB CAMERA
+2026-05-14 08:40:02.232 [INFO   ] app.camera.camera_service: Camera start requested: HD USB CAMERA
+2026-05-14 08:40:02.407 [DEBUG  ] uvc: Running on macOS (Kernel release 22.6.0)
+2026-05-14 08:40:02.407 [DEBUG  ] uvc: Running on macOS Monterey or newer. Requires root privileges to detach kernel drivers.
+2026-05-14 08:40:02.413 [INFO   ] app.camera.uvc: UVC: macOS controller loaded for 'HD USB CAMERA'
+2026-05-14 08:40:02.443 [DEBUG  ] uvc: Found device that mached uid: 20:10
+2026-05-14 08:40:02.455 [DEBUG  ] uvc: Device info: {'name': 'HD USB CAMERA', 'manufacturer': '4K USB CAMERA', 'serialNumber': '01.00.00', 'idProduct': 791, 'idVendor': 13028, 'device_address': 10, 'bus_number': 20, 'uid': '20:10'}
+2026-05-14 08:40:02.468 [WARNING] app.camera.uvc.macos: UVC macOS open failed: Could not open device. Error: Access denied
+2026-05-14 08:40:11.300 [INFO   ] app.camera.camera_service: Camera inactive
+2026-05-14 08:40:11.300 [DEBUG  ] app.camera.camera_service: Camera stopped (internal)
+2026-05-14 08:40:11.300 [INFO   ] app.ui.main_window: CSV telemetry: 2 rows written

logs/duck-preview_2026-05-14_09-04-58.csv

@@ -0,0 +1,5 @@
+timestamp,fps_got,fps_req,frame_time_ms,dropped_frames,cpu_sys_pct,cpu_core_pct,mem_mb
+09:05:00.079,0.0,30.0,0.00,0,15.1,60.3,82.1
+09:05:05.402,0.0,30.0,0.00,0,0.0,0.1,82.2
+09:05:10.402,0.0,30.0,0.00,0,0.1,0.6,84.5
+09:05:15.403,0.0,30.0,0.00,0,0.2,0.8,84.5

logs/duck-preview_2026-05-14_09-04-58.log

@@ -0,0 +1,57 @@
+========================================================================
+  Duck Preview 0.1.0
+  Session: 2026-05-14_09-04-58
+========================================================================
+  Platform : macOS-13.7.8-x86_64-i386-64bit
+  Python   : 3.12.9
+  PySide6  : 6.11.1
+  Hardware : 4 logical CPUs, 16.0 GB RAM
+  Log file : /Users/rafalkaczka/Repos/duck-preview/logs/duck-preview_2026-05-14_09-04-58.log
+========================================================================
+
+2026-05-14 09:04:58.962 [DEBUG  ] app.logging_setup: Pruned old log: duck-preview_2026-05-14_07-49-19.log
+2026-05-14 09:04:59.048 [INFO   ] __main__: Application starting (session: 2026-05-14_09-04-58)
+2026-05-14 09:04:59.235 [INFO   ] app.ui.main_window: Telemetry CSV: /Users/rafalkaczka/Repos/duck-preview/logs/duck-preview_2026-05-14_09-04-58.csv
+2026-05-14 09:04:59.236 [DEBUG  ] app.ui.camera_view: Overlay layer added: TelemetryOverlay
+2026-05-14 09:04:59.236 [DEBUG  ] app.ui.camera_view: Overlay layer added: BboxOverlay
+2026-05-14 09:04:59.552 [DEBUG  ] app.pipeline.frame_dispatcher: Subscriber added: <bound method CameraView.on_frame of <app.ui.camera_view.CameraView(0x7f9feeec75f0) at 0x2042c4040>> (drop_if_busy=True)
+2026-05-14 09:04:59.552 [DEBUG  ] app.pipeline.frame_dispatcher: Subscriber added: <bound method TelemetryCollector.on_frame of <app.telemetry.telemetry_collector.TelemetryCollector(0x7f9feeecfa10) at 0x2042bb840>> (drop_if_busy=False)
+2026-05-14 09:04:59.558 [INFO   ] __main__: Application shutting down
+2026-05-14 09:04:59.813 [INFO   ] app.camera.camera_enumerator: Cameras found: 1
+2026-05-14 09:04:59.814 [INFO   ] app.camera.camera_enumerator:   [0] HD USB CAMERA (id: 0x1420000032e40317)
+2026-05-14 09:04:59.814 [INFO   ] app.camera.camera_enumerator:         NV12   3840x2160 @ 30.0 fps
+2026-05-14 09:04:59.814 [INFO   ] app.camera.camera_enumerator:         NV12   2592x1944 @ 30.0 fps
+2026-05-14 09:04:59.814 [INFO   ] app.camera.camera_enumerator:         NV12   2048x1536 @ 30.0 fps
+2026-05-14 09:04:59.814 [INFO   ] app.camera.camera_enumerator:         NV12   1920x1080 @ 30.0 fps
+2026-05-14 09:04:59.814 [INFO   ] app.camera.camera_enumerator:         NV12   1600x1200 @ 30.0 fps
+2026-05-14 09:04:59.814 [INFO   ] app.camera.camera_enumerator:         NV12   1280x960 @ 30.0 fps
+2026-05-14 09:04:59.814 [INFO   ] app.camera.camera_enumerator:         NV12   1280x720 @ 30.0 fps
+2026-05-14 09:04:59.815 [INFO   ] app.camera.camera_enumerator:         NV12   1024x768 @ 30.0 fps
+2026-05-14 09:04:59.815 [INFO   ] app.camera.camera_enumerator:         NV12   800x600 @ 30.0 fps
+2026-05-14 09:04:59.815 [INFO   ] app.camera.camera_enumerator:         NV12   640x480 @ 30.0 fps
+2026-05-14 09:04:59.815 [INFO   ] app.camera.camera_enumerator:         NV12   320x240 @ 30.0 fps
+2026-05-14 09:04:59.815 [INFO   ] app.camera.camera_enumerator: Cameras found: 1
+2026-05-14 09:04:59.816 [INFO   ] app.camera.camera_enumerator:   [0] HD USB CAMERA (id: 0x1420000032e40317)
+2026-05-14 09:04:59.816 [INFO   ] app.camera.camera_enumerator:         NV12   3840x2160 @ 30.0 fps
+2026-05-14 09:04:59.816 [INFO   ] app.camera.camera_enumerator:         NV12   2592x1944 @ 30.0 fps
+2026-05-14 09:04:59.816 [INFO   ] app.camera.camera_enumerator:         NV12   2048x1536 @ 30.0 fps
+2026-05-14 09:04:59.816 [INFO   ] app.camera.camera_enumerator:         NV12   1920x1080 @ 30.0 fps
+2026-05-14 09:04:59.816 [INFO   ] app.camera.camera_enumerator:         NV12   1600x1200 @ 30.0 fps
+2026-05-14 09:04:59.816 [INFO   ] app.camera.camera_enumerator:         NV12   1280x960 @ 30.0 fps
+2026-05-14 09:04:59.816 [INFO   ] app.camera.camera_enumerator:         NV12   1280x720 @ 30.0 fps
+2026-05-14 09:04:59.816 [INFO   ] app.camera.camera_enumerator:         NV12   1024x768 @ 30.0 fps
+2026-05-14 09:04:59.816 [INFO   ] app.camera.camera_enumerator:         NV12   800x600 @ 30.0 fps
+2026-05-14 09:04:59.816 [INFO   ] app.camera.camera_enumerator:         NV12   640x480 @ 30.0 fps
+2026-05-14 09:04:59.816 [INFO   ] app.camera.camera_enumerator:         NV12   320x240 @ 30.0 fps
+2026-05-14 09:04:59.864 [INFO   ] app.camera.camera_service: Camera format requested: NV12 3840x2160 @ 30 fps
+2026-05-14 09:05:00.011 [INFO   ] app.camera.camera_service: Qt multimedia backend: AVFoundation
+2026-05-14 09:05:00.011 [INFO   ] app.camera.camera_service: Camera active: HD USB CAMERA
+2026-05-14 09:05:00.011 [INFO   ] app.camera.camera_service: Camera format ACTUAL: NV12 3840x2160 @ 30 fps
+2026-05-14 09:05:00.011 [INFO   ] app.ui.main_window: Camera streaming: HD USB CAMERA
+2026-05-14 09:05:00.011 [INFO   ] app.camera.camera_service: Camera start requested: HD USB CAMERA
+2026-05-14 09:05:00.012 [DEBUG  ] app.camera.uvc.macos: pyuvc not available — macOS UVC controls disabled
+2026-05-14 09:05:00.012 [WARNING] app.camera.uvc: UVC: pyuvc not installed — UVC controls unavailable on macOS
+2026-05-14 09:05:20.524 [INFO   ] app.inference.worker_manager: Inference worker stopped
+2026-05-14 09:05:20.549 [INFO   ] app.camera.camera_service: Camera inactive
+2026-05-14 09:05:20.550 [DEBUG  ] app.camera.camera_service: Camera stopped (internal)
+2026-05-14 09:05:20.550 [INFO   ] app.ui.main_window: CSV telemetry: 4 rows written

logs/duck-preview_2026-05-14_09-06-41.csv

@@ -0,0 +1,12 @@
+timestamp,fps_got,fps_req,frame_time_ms,dropped_frames,cpu_sys_pct,cpu_core_pct,mem_mb
+09:06:42.042,0.0,30.0,0.00,0,13.4,53.8,81.8
+09:06:47.434,25.0,30.0,40.45,0,7.8,31.3,112.3
+09:06:52.905,28.0,30.0,38.49,2,7.5,30.0,118.9
+09:06:57.905,24.0,30.0,35.18,2,7.1,28.4,118.6
+09:07:03.434,21.0,30.0,42.03,4,8.7,34.7,116.5
+09:07:08.904,25.0,30.0,40.42,5,10.9,43.5,159.0
+09:07:13.905,25.0,30.0,40.43,5,9.9,39.6,158.8
+09:07:18.906,25.0,30.0,40.56,5,12.8,51.1,158.9
+09:07:23.910,25.0,30.0,40.60,5,10.1,40.4,157.6
+09:07:29.406,24.0,30.0,40.42,5,9.8,39.2,157.1
+09:07:34.407,25.0,30.0,40.68,5,10.1,40.3,157.1

logs/duck-preview_2026-05-14_09-06-41.log

@@ -0,0 +1,67 @@
+========================================================================
+  Duck Preview 0.1.0
+  Session: 2026-05-14_09-06-41
+========================================================================
+  Platform : macOS-13.7.8-x86_64-i386-64bit
+  Python   : 3.12.9
+  PySide6  : 6.11.1
+  Hardware : 4 logical CPUs, 16.0 GB RAM
+  Log file : /Users/rafalkaczka/Repos/duck-preview/logs/duck-preview_2026-05-14_09-06-41.log
+========================================================================
+
+2026-05-14 09:06:41.050 [DEBUG  ] app.logging_setup: Pruned old log: duck-preview_2026-05-14_07-49-36.log
+2026-05-14 09:06:41.119 [INFO   ] __main__: Application starting (session: 2026-05-14_09-06-41)
+2026-05-14 09:06:41.276 [INFO   ] app.ui.main_window: Telemetry CSV: /Users/rafalkaczka/Repos/duck-preview/logs/duck-preview_2026-05-14_09-06-41.csv
+2026-05-14 09:06:41.277 [DEBUG  ] app.ui.camera_view: Overlay layer added: TelemetryOverlay
+2026-05-14 09:06:41.277 [DEBUG  ] app.ui.camera_view: Overlay layer added: BboxOverlay
+2026-05-14 09:06:41.478 [DEBUG  ] app.pipeline.frame_dispatcher: Subscriber added: <bound method CameraView.on_frame of <app.ui.camera_view.CameraView(0x7fa3d85b0590) at 0x1feeffec0>> (drop_if_busy=True)
+2026-05-14 09:06:41.478 [DEBUG  ] app.pipeline.frame_dispatcher: Subscriber added: <bound method TelemetryCollector.on_frame of <app.telemetry.telemetry_collector.TelemetryCollector(0x7fa3d85ada80) at 0x1feeff2c0>> (drop_if_busy=False)
+2026-05-14 09:06:41.482 [INFO   ] __main__: Application shutting down
+2026-05-14 09:06:41.754 [INFO   ] app.camera.camera_enumerator: Cameras found: 1
+2026-05-14 09:06:41.754 [INFO   ] app.camera.camera_enumerator:   [0] HD USB CAMERA (id: 0x1420000032e40317)
+2026-05-14 09:06:41.754 [INFO   ] app.camera.camera_enumerator:         NV12   3840x2160 @ 30.0 fps
+2026-05-14 09:06:41.754 [INFO   ] app.camera.camera_enumerator:         NV12   2592x1944 @ 30.0 fps
+2026-05-14 09:06:41.754 [INFO   ] app.camera.camera_enumerator:         NV12   2048x1536 @ 30.0 fps
+2026-05-14 09:06:41.755 [INFO   ] app.camera.camera_enumerator:         NV12   1920x1080 @ 30.0 fps
+2026-05-14 09:06:41.755 [INFO   ] app.camera.camera_enumerator:         NV12   1600x1200 @ 30.0 fps
+2026-05-14 09:06:41.755 [INFO   ] app.camera.camera_enumerator:         NV12   1280x960 @ 30.0 fps
+2026-05-14 09:06:41.755 [INFO   ] app.camera.camera_enumerator:         NV12   1280x720 @ 30.0 fps
+2026-05-14 09:06:41.755 [INFO   ] app.camera.camera_enumerator:         NV12   1024x768 @ 30.0 fps
+2026-05-14 09:06:41.755 [INFO   ] app.camera.camera_enumerator:         NV12   800x600 @ 30.0 fps
+2026-05-14 09:06:41.755 [INFO   ] app.camera.camera_enumerator:         NV12   640x480 @ 30.0 fps
+2026-05-14 09:06:41.755 [INFO   ] app.camera.camera_enumerator:         NV12   320x240 @ 30.0 fps
+2026-05-14 09:06:41.756 [INFO   ] app.camera.camera_enumerator: Cameras found: 1
+2026-05-14 09:06:41.757 [INFO   ] app.camera.camera_enumerator:   [0] HD USB CAMERA (id: 0x1420000032e40317)
+2026-05-14 09:06:41.757 [INFO   ] app.camera.camera_enumerator:         NV12   3840x2160 @ 30.0 fps
+2026-05-14 09:06:41.757 [INFO   ] app.camera.camera_enumerator:         NV12   2592x1944 @ 30.0 fps
+2026-05-14 09:06:41.757 [INFO   ] app.camera.camera_enumerator:         NV12   2048x1536 @ 30.0 fps
+2026-05-14 09:06:41.758 [INFO   ] app.camera.camera_enumerator:         NV12   1920x1080 @ 30.0 fps
+2026-05-14 09:06:41.758 [INFO   ] app.camera.camera_enumerator:         NV12   1600x1200 @ 30.0 fps
+2026-05-14 09:06:41.758 [INFO   ] app.camera.camera_enumerator:         NV12   1280x960 @ 30.0 fps
+2026-05-14 09:06:41.758 [INFO   ] app.camera.camera_enumerator:         NV12   1280x720 @ 30.0 fps
+2026-05-14 09:06:41.758 [INFO   ] app.camera.camera_enumerator:         NV12   1024x768 @ 30.0 fps
+2026-05-14 09:06:41.758 [INFO   ] app.camera.camera_enumerator:         NV12   800x600 @ 30.0 fps
+2026-05-14 09:06:41.758 [INFO   ] app.camera.camera_enumerator:         NV12   640x480 @ 30.0 fps
+2026-05-14 09:06:41.758 [INFO   ] app.camera.camera_enumerator:         NV12   320x240 @ 30.0 fps
+2026-05-14 09:06:41.786 [INFO   ] app.camera.camera_service: Camera format requested: NV12 1280x720 @ 30 fps
+2026-05-14 09:06:41.973 [INFO   ] app.camera.camera_service: Qt multimedia backend: AVFoundation
+2026-05-14 09:06:41.973 [INFO   ] app.camera.camera_service: Camera active: HD USB CAMERA
+2026-05-14 09:06:41.973 [INFO   ] app.camera.camera_service: Camera format ACTUAL: NV12 1280x720 @ 30 fps
+2026-05-14 09:06:41.973 [INFO   ] app.ui.main_window: Camera streaming: HD USB CAMERA
+2026-05-14 09:06:41.973 [INFO   ] app.camera.camera_service: Camera start requested: HD USB CAMERA
+2026-05-14 09:06:41.974 [DEBUG  ] app.camera.uvc.macos: pyuvc not available — macOS UVC controls disabled
+2026-05-14 09:06:41.975 [WARNING] app.camera.uvc: UVC: pyuvc not installed — UVC controls unavailable on macOS
+2026-05-14 09:07:03.257 [DEBUG  ] app.ui.menu_bar: Format selected: 1920x1080 @ 30 fps (NV12)
+2026-05-14 09:07:03.258 [INFO   ] app.ui.main_window: Format selected via menu: 1920x1080 @ 30 fps (NV12)
+2026-05-14 09:07:03.258 [INFO   ] app.camera.camera_service: Format change: 1920x1080 @ 30 fps (NV12) — restarting camera
+2026-05-14 09:07:03.304 [INFO   ] app.camera.camera_service: Camera inactive
+2026-05-14 09:07:03.304 [DEBUG  ] app.camera.camera_service: Camera stopped (internal)
+2026-05-14 09:07:03.334 [INFO   ] app.camera.camera_service: Camera format requested: NV12 1920x1080 @ 30 fps
+2026-05-14 09:07:03.416 [INFO   ] app.camera.camera_service: Camera active: HD USB CAMERA
+2026-05-14 09:07:03.417 [INFO   ] app.camera.camera_service: Camera format ACTUAL: NV12 1920x1080 @ 30 fps
+2026-05-14 09:07:03.417 [INFO   ] app.ui.main_window: Camera streaming: HD USB CAMERA
+2026-05-14 09:07:03.417 [INFO   ] app.camera.camera_service: Camera start requested: HD USB CAMERA
+2026-05-14 09:07:35.646 [INFO   ] app.inference.worker_manager: Inference worker stopped
+2026-05-14 09:07:35.713 [INFO   ] app.camera.camera_service: Camera inactive
+2026-05-14 09:07:35.714 [DEBUG  ] app.camera.camera_service: Camera stopped (internal)
+2026-05-14 09:07:35.714 [INFO   ] app.ui.main_window: CSV telemetry: 11 rows written

logs/duck-preview_2026-05-14_09-36-27.csv

@@ -0,0 +1,9 @@
+timestamp,fps_got,fps_req,frame_time_ms,dropped_frames,cpu_sys_pct,cpu_core_pct,mem_mb
+09:36:27.985,0.0,30.0,0.00,0,14.2,57.0,81.8
+09:36:32.988,30.0,30.0,33.30,0,9.4,37.8,111.0
+09:36:38.208,33.0,30.0,35.65,3,8.1,32.5,159.8
+09:36:43.489,30.0,30.0,33.77,5,9.9,39.5,119.8
+09:36:48.489,31.0,30.0,33.29,6,7.8,31.3,120.1
+09:36:53.988,30.0,30.0,33.25,6,7.6,30.4,120.1
+09:36:58.996,26.0,30.0,33.36,7,14.8,59.3,150.2
+09:37:04.493,31.0,30.0,33.26,9,10.1,40.5,143.8

logs/duck-preview_2026-05-14_09-36-27.log

@@ -0,0 +1,74 @@
+========================================================================
+  Duck Preview 0.1.0
+  Session: 2026-05-14_09-36-27
+========================================================================
+  Platform : macOS-13.7.8-x86_64-i386-64bit
+  Python   : 3.12.9
+  PySide6  : 6.11.1
+  Hardware : 4 logical CPUs, 16.0 GB RAM
+  Log file : /Users/rafalkaczka/Repos/duck-preview/logs/duck-preview_2026-05-14_09-36-27.log
+========================================================================
+
+2026-05-14 09:36:27.061 [DEBUG  ] app.logging_setup: Pruned old log: duck-preview_2026-05-14_07-49-49.log
+2026-05-14 09:36:27.127 [INFO   ] __main__: Application starting (session: 2026-05-14_09-36-27)
+2026-05-14 09:36:27.279 [INFO   ] app.ui.main_window: Telemetry CSV: /Users/rafalkaczka/Repos/duck-preview/logs/duck-preview_2026-05-14_09-36-27.csv
+2026-05-14 09:36:27.280 [DEBUG  ] app.ui.camera_view: Overlay layer added: TelemetryOverlay
+2026-05-14 09:36:27.280 [DEBUG  ] app.ui.camera_view: Overlay layer added: BboxOverlay
+2026-05-14 09:36:27.456 [DEBUG  ] app.pipeline.frame_dispatcher: Subscriber added: <bound method CameraView.on_frame of <app.ui.camera_view.CameraView(0x7f7a748690e0) at 0x2092e8c00>> (drop_if_busy=True)
+2026-05-14 09:36:27.456 [DEBUG  ] app.pipeline.frame_dispatcher: Subscriber added: <bound method TelemetryCollector.on_frame of <app.telemetry.telemetry_collector.TelemetryCollector(0x7f7a74866290) at 0x2092e8080>> (drop_if_busy=False)
+2026-05-14 09:36:27.461 [INFO   ] __main__: Application shutting down
+2026-05-14 09:36:27.696 [INFO   ] app.camera.camera_enumerator: Cameras found: 1
+2026-05-14 09:36:27.696 [INFO   ] app.camera.camera_enumerator:   [0] HD USB CAMERA (id: 0x1420000032e40317)
+2026-05-14 09:36:27.696 [INFO   ] app.camera.camera_enumerator:         NV12   3840x2160 @ 30.0 fps
+2026-05-14 09:36:27.696 [INFO   ] app.camera.camera_enumerator:         NV12   2592x1944 @ 30.0 fps
+2026-05-14 09:36:27.696 [INFO   ] app.camera.camera_enumerator:         NV12   2048x1536 @ 30.0 fps
+2026-05-14 09:36:27.696 [INFO   ] app.camera.camera_enumerator:         NV12   1920x1080 @ 30.0 fps
+2026-05-14 09:36:27.696 [INFO   ] app.camera.camera_enumerator:         NV12   1600x1200 @ 30.0 fps
+2026-05-14 09:36:27.696 [INFO   ] app.camera.camera_enumerator:         NV12   1280x960 @ 30.0 fps
+2026-05-14 09:36:27.696 [INFO   ] app.camera.camera_enumerator:         NV12   1280x720 @ 30.0 fps
+2026-05-14 09:36:27.696 [INFO   ] app.camera.camera_enumerator:         NV12   1024x768 @ 30.0 fps
+2026-05-14 09:36:27.697 [INFO   ] app.camera.camera_enumerator:         NV12   800x600 @ 30.0 fps
+2026-05-14 09:36:27.697 [INFO   ] app.camera.camera_enumerator:         NV12   640x480 @ 30.0 fps
+2026-05-14 09:36:27.697 [INFO   ] app.camera.camera_enumerator:         NV12   320x240 @ 30.0 fps
+2026-05-14 09:36:27.698 [INFO   ] app.camera.camera_enumerator: Cameras found: 1
+2026-05-14 09:36:27.698 [INFO   ] app.camera.camera_enumerator:   [0] HD USB CAMERA (id: 0x1420000032e40317)
+2026-05-14 09:36:27.698 [INFO   ] app.camera.camera_enumerator:         NV12   3840x2160 @ 30.0 fps
+2026-05-14 09:36:27.698 [INFO   ] app.camera.camera_enumerator:         NV12   2592x1944 @ 30.0 fps
+2026-05-14 09:36:27.698 [INFO   ] app.camera.camera_enumerator:         NV12   2048x1536 @ 30.0 fps
+2026-05-14 09:36:27.698 [INFO   ] app.camera.camera_enumerator:         NV12   1920x1080 @ 30.0 fps
+2026-05-14 09:36:27.698 [INFO   ] app.camera.camera_enumerator:         NV12   1600x1200 @ 30.0 fps
+2026-05-14 09:36:27.698 [INFO   ] app.camera.camera_enumerator:         NV12   1280x960 @ 30.0 fps
+2026-05-14 09:36:27.699 [INFO   ] app.camera.camera_enumerator:         NV12   1280x720 @ 30.0 fps
+2026-05-14 09:36:27.699 [INFO   ] app.camera.camera_enumerator:         NV12   1024x768 @ 30.0 fps
+2026-05-14 09:36:27.699 [INFO   ] app.camera.camera_enumerator:         NV12   800x600 @ 30.0 fps
+2026-05-14 09:36:27.699 [INFO   ] app.camera.camera_enumerator:         NV12   640x480 @ 30.0 fps
+2026-05-14 09:36:27.699 [INFO   ] app.camera.camera_enumerator:         NV12   320x240 @ 30.0 fps
+2026-05-14 09:36:27.735 [INFO   ] app.camera.camera_service: Camera format requested: NV12 1280x720 @ 30 fps
+2026-05-14 09:36:27.908 [INFO   ] app.camera.camera_service: Qt multimedia backend: AVFoundation
+2026-05-14 09:36:27.908 [INFO   ] app.camera.camera_service: Camera active: HD USB CAMERA
+2026-05-14 09:36:27.908 [INFO   ] app.camera.camera_service: Camera format ACTUAL: NV12 1280x720 @ 30 fps
+2026-05-14 09:36:27.909 [INFO   ] app.ui.main_window: Camera streaming: HD USB CAMERA
+2026-05-14 09:36:27.909 [INFO   ] app.camera.camera_service: Camera start requested: HD USB CAMERA
+2026-05-14 09:36:27.909 [DEBUG  ] app.camera.uvc.macos: pyuvc not available — macOS UVC controls disabled
+2026-05-14 09:36:27.910 [WARNING] app.camera.uvc: UVC: pyuvc not installed — UVC controls unavailable on macOS
+2026-05-14 09:36:43.640 [DEBUG  ] app.ui.menu_bar: Model file selected: /Users/rafalkaczka/Repos/duck-preview/models/best_v1.pt
+2026-05-14 09:36:43.641 [INFO   ] app.ui.main_window: Loading model: /Users/rafalkaczka/Repos/duck-preview/models/best_v1.pt
+2026-05-14 09:36:43.641 [INFO   ] app.inference.worker_manager: Inference worker stopped
+2026-05-14 09:36:43.708 [INFO   ] app.inference.worker_manager: Inference worker started (pid=3571, model=/Users/rafalkaczka/Repos/duck-preview/models/best_v1.pt)
+2026-05-14 09:36:43.709 [DEBUG  ] app.inference.worker_manager: InferenceManager: resumed
+2026-05-14 09:36:43.710 [DEBUG  ] app.pipeline.frame_dispatcher: Subscriber added: <bound method InferenceManager.submit_frame of <app.inference.worker_manager.InferenceManager(0x7f7a74867720) at 0x2092e8440>> (drop_if_busy=True)
+2026-05-14 09:36:43.713 [INFO   ] app.ui.main_window: Inference enabled
+2026-05-14 09:36:43.714 [DEBUG  ] app.inference.worker_manager: InferenceManager: paused
+2026-05-14 09:36:43.714 [DEBUG  ] app.pipeline.frame_dispatcher: Subscriber not found for removal: <bound method InferenceManager.submit_frame of <app.inference.worker_manager.InferenceManager(0x7f7a74867720) at 0x2092e8440>>
+2026-05-14 09:36:43.715 [INFO   ] app.ui.main_window: Inference disabled
+2026-05-14 09:36:49.389 [INFO   ] app.inference.worker_manager: Inference device: cpu
+2026-05-14 09:36:58.844 [DEBUG  ] app.inference.worker_manager: InferenceManager: resumed
+2026-05-14 09:36:58.844 [DEBUG  ] app.pipeline.frame_dispatcher: Subscriber added: <bound method InferenceManager.submit_frame of <app.inference.worker_manager.InferenceManager(0x7f7a74867720) at 0x2092e8440>> (drop_if_busy=True)
+2026-05-14 09:36:58.845 [INFO   ] app.ui.main_window: Inference enabled
+2026-05-14 09:37:03.253 [DEBUG  ] app.inference.worker_manager: InferenceManager: paused
+2026-05-14 09:37:03.254 [DEBUG  ] app.pipeline.frame_dispatcher: Subscriber not found for removal: <bound method InferenceManager.submit_frame of <app.inference.worker_manager.InferenceManager(0x7f7a74867720) at 0x2092e8440>>
+2026-05-14 09:37:03.254 [INFO   ] app.ui.main_window: Inference disabled
+2026-05-14 09:37:05.808 [INFO   ] app.inference.worker_manager: Inference worker stopped
+2026-05-14 09:37:05.867 [INFO   ] app.camera.camera_service: Camera inactive
+2026-05-14 09:37:05.867 [DEBUG  ] app.camera.camera_service: Camera stopped (internal)
+2026-05-14 09:37:05.867 [INFO   ] app.ui.main_window: CSV telemetry: 8 rows written

logs/duck-preview_2026-05-14_09-40-54.csv

@@ -0,0 +1,72 @@
+timestamp,fps_got,fps_req,frame_time_ms,dropped_frames,cpu_sys_pct,cpu_core_pct,mem_mb
+09:40:55.663,0.0,30.0,0.00,0,14.3,57.1,81.8
+09:41:01.763,34.0,30.0,35.67,2,8.4,33.6,160.3
+09:41:06.996,32.0,30.0,33.22,3,7.9,31.5,119.6
+09:41:12.002,31.0,30.0,33.27,4,10.7,42.9,131.2
+09:41:17.496,30.0,30.0,33.27,4,8.4,33.7,120.7
+09:41:22.501,31.0,30.0,33.31,6,12.2,48.6,151.0
+09:41:27.995,30.0,30.0,33.31,6,11.4,45.8,151.1
+09:41:32.998,31.0,30.0,33.30,6,12.1,48.5,151.0
+09:41:38.507,31.0,30.0,33.25,6,11.7,46.7,151.1
+09:41:43.997,30.0,30.0,33.28,6,11.2,44.6,150.3
+09:41:49.496,25.0,30.0,36.81,6,9.9,39.7,150.3
+09:41:54.498,24.0,30.0,40.73,6,10.0,40.0,150.3
+09:41:59.997,25.0,30.0,40.66,6,10.1,40.3,150.4
+09:42:05.497,25.0,30.0,40.68,6,9.8,39.0,150.5
+09:42:10.498,24.0,30.0,40.71,6,9.8,39.0,150.5
+09:42:15.499,25.0,30.0,40.46,6,9.2,36.8,150.5
+09:42:20.998,24.0,30.0,41.21,7,11.8,47.4,150.5
+09:42:26.497,24.0,30.0,40.41,7,9.8,39.2,150.5
+09:42:31.509,24.0,30.0,42.09,8,10.1,40.4,150.5
+09:42:36.998,23.0,30.0,42.63,8,9.4,37.7,150.6
+09:42:42.001,24.0,30.0,42.59,9,8.9,35.7,150.6
+09:42:47.498,23.0,30.0,42.66,11,8.7,34.7,150.6
+09:42:52.499,26.0,30.0,43.72,12,10.0,39.9,150.6
+09:42:58.010,24.0,30.0,43.20,13,9.3,37.1,150.6
+09:43:03.500,19.0,30.0,42.91,14,9.2,37.0,150.6
+09:43:08.504,22.0,30.0,44.86,15,8.6,34.3,150.6
+09:43:14.007,22.0,30.0,44.23,17,9.2,36.6,150.6
+09:43:19.500,24.0,30.0,43.53,18,10.1,40.2,150.6
+09:43:24.514,20.0,30.0,49.00,23,8.7,34.7,151.8
+09:43:30.000,24.0,30.0,44.75,24,6.5,26.0,152.0
+09:43:35.000,25.0,30.0,42.36,25,7.0,28.0,151.7
+09:43:40.504,25.0,30.0,41.79,25,6.6,26.3,153.1
+09:43:46.000,23.0,30.0,46.75,29,6.5,26.0,152.2
+09:43:51.003,25.0,30.0,41.55,30,8.0,32.0,152.3
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+09:44:02.001,0.0,30.0,41.92,31,0.1,0.6,150.6
+09:44:07.501,0.0,30.0,41.92,31,0.2,0.8,150.2
+09:44:12.501,0.0,30.0,41.92,31,0.5,2.0,148.8
+09:44:18.004,7.0,30.0,251.99,32,7.9,31.5,189.3
+09:44:23.512,30.0,30.0,33.28,32,11.9,47.7,189.4
+09:44:29.001,29.0,30.0,33.29,32,12.7,50.9,188.9
+09:44:34.007,30.0,30.0,33.30,32,12.2,48.9,189.0
+09:44:39.502,29.0,30.0,33.28,32,13.7,54.9,189.7
+09:44:44.502,30.0,30.0,35.66,35,8.0,32.0,186.5
+09:44:49.509,31.0,30.0,33.27,35,8.3,33.2,186.4
+09:44:55.001,30.0,30.0,33.02,35,8.8,35.2,186.2
+09:45:00.010,31.0,30.0,33.04,36,11.6,46.5,187.7
+09:45:05.503,30.0,30.0,33.53,37,12.2,48.6,187.7
+09:45:10.507,31.0,30.0,33.00,37,11.1,44.4,187.6
+09:45:16.002,22.0,30.0,38.49,38,8.2,33.0,187.6
+09:45:21.002,25.0,30.0,41.53,38,10.0,40.0,186.7
+09:45:26.003,25.0,30.0,41.01,38,9.7,38.8,186.7
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logs/duck-preview_2026-05-14_09-40-54.log

@@ -0,0 +1,487 @@
+========================================================================
+  Duck Preview 0.1.0
+  Session: 2026-05-14_09-40-54
+========================================================================
+  Platform : macOS-13.7.8-x86_64-i386-64bit
+  Python   : 3.12.9
+  PySide6  : 6.11.1
+  Hardware : 4 logical CPUs, 16.0 GB RAM
+  Log file : /Users/rafalkaczka/Repos/duck-preview/logs/duck-preview_2026-05-14_09-40-54.log
+========================================================================
+
+2026-05-14 09:40:54.717 [DEBUG  ] app.logging_setup: Pruned old log: duck-preview_2026-05-14_08-10-08.log
+2026-05-14 09:40:54.793 [INFO   ] __main__: Application starting (session: 2026-05-14_09-40-54)
+2026-05-14 09:40:54.934 [INFO   ] app.ui.main_window: Telemetry CSV: /Users/rafalkaczka/Repos/duck-preview/logs/duck-preview_2026-05-14_09-40-54.csv
+2026-05-14 09:40:54.934 [DEBUG  ] app.ui.camera_view: Overlay layer added: TelemetryOverlay
+2026-05-14 09:40:54.934 [DEBUG  ] app.ui.camera_view: Overlay layer added: BboxOverlay
+2026-05-14 09:40:55.131 [DEBUG  ] app.pipeline.frame_dispatcher: Subscriber added: <bound method CameraView.on_frame of <app.ui.camera_view.CameraView(0x7fc86adfdd30) at 0x1faf1c9c0>> (drop_if_busy=True)
+2026-05-14 09:40:55.131 [DEBUG  ] app.pipeline.frame_dispatcher: Subscriber added: <bound method TelemetryCollector.on_frame of <app.telemetry.telemetry_collector.TelemetryCollector(0x7fc86adfae50) at 0x1faeffe00>> (drop_if_busy=False)
+2026-05-14 09:40:55.137 [INFO   ] __main__: Application shutting down
+2026-05-14 09:40:55.368 [INFO   ] app.camera.camera_enumerator: Cameras found: 1
+2026-05-14 09:40:55.369 [INFO   ] app.camera.camera_enumerator:   [0] HD USB CAMERA (id: 0x1420000032e40317)
+2026-05-14 09:40:55.369 [INFO   ] app.camera.camera_enumerator:         NV12   3840x2160 @ 30.0 fps
+2026-05-14 09:40:55.369 [INFO   ] app.camera.camera_enumerator:         NV12   2592x1944 @ 30.0 fps
+2026-05-14 09:40:55.369 [INFO   ] app.camera.camera_enumerator:         NV12   2048x1536 @ 30.0 fps
+2026-05-14 09:40:55.369 [INFO   ] app.camera.camera_enumerator:         NV12   1920x1080 @ 30.0 fps
+2026-05-14 09:40:55.369 [INFO   ] app.camera.camera_enumerator:         NV12   1600x1200 @ 30.0 fps
+2026-05-14 09:40:55.369 [INFO   ] app.camera.camera_enumerator:         NV12   1280x960 @ 30.0 fps
+2026-05-14 09:40:55.369 [INFO   ] app.camera.camera_enumerator:         NV12   1280x720 @ 30.0 fps
+2026-05-14 09:40:55.369 [INFO   ] app.camera.camera_enumerator:         NV12   1024x768 @ 30.0 fps
+2026-05-14 09:40:55.369 [INFO   ] app.camera.camera_enumerator:         NV12   800x600 @ 30.0 fps
+2026-05-14 09:40:55.369 [INFO   ] app.camera.camera_enumerator:         NV12   640x480 @ 30.0 fps
+2026-05-14 09:40:55.369 [INFO   ] app.camera.camera_enumerator:         NV12   320x240 @ 30.0 fps
+2026-05-14 09:40:55.370 [INFO   ] app.camera.camera_enumerator: Cameras found: 1
+2026-05-14 09:40:55.370 [INFO   ] app.camera.camera_enumerator:   [0] HD USB CAMERA (id: 0x1420000032e40317)
+2026-05-14 09:40:55.370 [INFO   ] app.camera.camera_enumerator:         NV12   3840x2160 @ 30.0 fps
+2026-05-14 09:40:55.370 [INFO   ] app.camera.camera_enumerator:         NV12   2592x1944 @ 30.0 fps
+2026-05-14 09:40:55.370 [INFO   ] app.camera.camera_enumerator:         NV12   2048x1536 @ 30.0 fps
+2026-05-14 09:40:55.370 [INFO   ] app.camera.camera_enumerator:         NV12   1920x1080 @ 30.0 fps
+2026-05-14 09:40:55.370 [INFO   ] app.camera.camera_enumerator:         NV12   1600x1200 @ 30.0 fps
+2026-05-14 09:40:55.370 [INFO   ] app.camera.camera_enumerator:         NV12   1280x960 @ 30.0 fps
+2026-05-14 09:40:55.370 [INFO   ] app.camera.camera_enumerator:         NV12   1280x720 @ 30.0 fps
+2026-05-14 09:40:55.370 [INFO   ] app.camera.camera_enumerator:         NV12   1024x768 @ 30.0 fps
+2026-05-14 09:40:55.370 [INFO   ] app.camera.camera_enumerator:         NV12   800x600 @ 30.0 fps
+2026-05-14 09:40:55.371 [INFO   ] app.camera.camera_enumerator:         NV12   640x480 @ 30.0 fps
+2026-05-14 09:40:55.371 [INFO   ] app.camera.camera_enumerator:         NV12   320x240 @ 30.0 fps
+2026-05-14 09:40:55.405 [INFO   ] app.camera.camera_service: Camera format requested: NV12 1280x720 @ 30 fps
+2026-05-14 09:40:55.581 [INFO   ] app.camera.camera_service: Qt multimedia backend: AVFoundation
+2026-05-14 09:40:55.581 [INFO   ] app.camera.camera_service: Camera active: HD USB CAMERA
+2026-05-14 09:40:55.581 [INFO   ] app.camera.camera_service: Camera format ACTUAL: NV12 1280x720 @ 30 fps
+2026-05-14 09:40:55.581 [INFO   ] app.ui.main_window: Camera streaming: HD USB CAMERA
+2026-05-14 09:40:55.581 [INFO   ] app.camera.camera_service: Camera start requested: HD USB CAMERA
+2026-05-14 09:40:55.582 [DEBUG  ] app.camera.uvc.macos: pyuvc not available — macOS UVC controls disabled
+2026-05-14 09:40:55.583 [WARNING] app.camera.uvc: UVC: pyuvc not installed — UVC controls unavailable on macOS
+2026-05-14 09:41:05.949 [DEBUG  ] app.ui.menu_bar: Model file selected: /Users/rafalkaczka/Repos/duck-preview/models/best_v1.pt
+2026-05-14 09:41:05.949 [INFO   ] app.ui.main_window: Loading model: /Users/rafalkaczka/Repos/duck-preview/models/best_v1.pt
+2026-05-14 09:41:05.950 [INFO   ] app.inference.worker_manager: Inference worker stopped
+2026-05-14 09:41:05.975 [INFO   ] app.inference.worker_manager: Inference worker started (pid=3786, model=/Users/rafalkaczka/Repos/duck-preview/models/best_v1.pt)
+2026-05-14 09:41:05.976 [DEBUG  ] app.inference.worker_manager: InferenceManager: resumed
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+2026-05-14 09:41:05.978 [INFO   ] app.ui.main_window: Inference enabled
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+2026-05-14 09:41:05.980 [INFO   ] app.ui.main_window: Inference disabled
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+2026-05-14 09:41:19.091 [DEBUG  ] app.inference.worker_manager: InferenceManager: resumed
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+2026-05-14 09:41:19.092 [INFO   ] app.ui.main_window: Inference enabled
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+2026-05-14 09:43:00.599 [INFO   ] app.inference.worker_manager: frame 475: 1 detection(s) in 130.3 ms — etykieta 0.25
+2026-05-14 09:43:00.799 [INFO   ] app.inference.worker_manager: frame 476: 1 detection(s) in 133.8 ms — etykieta 0.26
+2026-05-14 09:43:01.405 [INFO   ] app.inference.worker_manager: frame 479: 1 detection(s) in 142.6 ms — etykieta 0.25
+2026-05-14 09:43:01.649 [INFO   ] app.inference.worker_manager: frame 480: 1 detection(s) in 135.4 ms — etykieta 0.25
+2026-05-14 09:43:02.049 [INFO   ] app.inference.worker_manager: frame 482: 1 detection(s) in 124.0 ms — etykieta 0.26
+2026-05-14 09:43:02.449 [INFO   ] app.inference.worker_manager: frame 484: 1 detection(s) in 129.8 ms — etykieta 0.25
+2026-05-14 09:43:03.099 [INFO   ] app.inference.worker_manager: frame 487: 1 detection(s) in 153.4 ms — etykieta 0.26
+2026-05-14 09:43:04.149 [INFO   ] app.inference.worker_manager: frame 492: 1 detection(s) in 152.3 ms — etykieta 0.25
+2026-05-14 09:43:04.449 [INFO   ] app.inference.worker_manager: frame 493: 1 detection(s) in 199.4 ms — etykieta 0.26
+2026-05-14 09:43:05.299 [INFO   ] app.inference.worker_manager: frame 497: 1 detection(s) in 147.0 ms — etykieta 0.25
+2026-05-14 09:43:05.549 [INFO   ] app.inference.worker_manager: frame 498: 1 detection(s) in 134.8 ms — etykieta 0.25
+2026-05-14 09:43:07.903 [INFO   ] app.inference.worker_manager: frame 509: 1 detection(s) in 135.8 ms — etykieta 0.25
+2026-05-14 09:43:08.548 [INFO   ] app.inference.worker_manager: frame 512: 1 detection(s) in 161.0 ms — etykieta 0.25
+2026-05-14 09:43:09.459 [INFO   ] app.inference.worker_manager: frame 516: 1 detection(s) in 167.6 ms — etykieta 0.25
+2026-05-14 09:43:09.999 [INFO   ] app.inference.worker_manager: frame 518: 1 detection(s) in 154.3 ms — etykieta 0.26
+2026-05-14 09:43:11.649 [INFO   ] app.inference.worker_manager: frame 526: 1 detection(s) in 147.5 ms — etykieta 0.25
+2026-05-14 09:43:11.899 [INFO   ] app.inference.worker_manager: frame 527: 1 detection(s) in 185.0 ms — etykieta 0.26
+2026-05-14 09:43:12.149 [INFO   ] app.inference.worker_manager: frame 528: 1 detection(s) in 145.8 ms — etykieta 0.26
+2026-05-14 09:43:13.598 [INFO   ] app.inference.worker_manager: frame 534: 1 detection(s) in 151.8 ms — etykieta 0.25
+2026-05-14 09:43:14.007 [INFO   ] app.inference.worker_manager: frame 536: 1 detection(s) in 134.8 ms — etykieta 0.26
+2026-05-14 09:43:15.149 [INFO   ] app.inference.worker_manager: frame 541: 1 detection(s) in 160.2 ms — etykieta 0.25
+2026-05-14 09:43:15.558 [INFO   ] app.inference.worker_manager: frame 543: 1 detection(s) in 145.8 ms — etykieta 0.25
+2026-05-14 09:43:16.299 [INFO   ] app.inference.worker_manager: frame 546: 1 detection(s) in 150.9 ms — etykieta 0.25
+2026-05-14 09:43:16.549 [INFO   ] app.inference.worker_manager: frame 547: 1 detection(s) in 170.1 ms — etykieta 0.26
+2026-05-14 09:43:16.949 [INFO   ] app.inference.worker_manager: frame 549: 1 detection(s) in 142.2 ms — etykieta 0.26
+2026-05-14 09:43:17.150 [INFO   ] app.inference.worker_manager: frame 550: 1 detection(s) in 141.3 ms — etykieta 0.25
+2026-05-14 09:43:17.750 [INFO   ] app.inference.worker_manager: frame 553: 1 detection(s) in 155.2 ms — etykieta 0.25
+2026-05-14 09:43:18.000 [INFO   ] app.inference.worker_manager: frame 554: 1 detection(s) in 137.7 ms — etykieta 0.25
+2026-05-14 09:43:19.099 [INFO   ] app.inference.worker_manager: frame 559: 1 detection(s) in 172.7 ms — etykieta 0.25
+2026-05-14 09:43:19.599 [INFO   ] app.inference.worker_manager: frame 561: 1 detection(s) in 142.8 ms — etykieta 0.25
+2026-05-14 09:43:19.799 [INFO   ] app.inference.worker_manager: frame 562: 1 detection(s) in 136.7 ms — etykieta 0.26
+2026-05-14 09:43:20.099 [INFO   ] app.inference.worker_manager: frame 563: 1 detection(s) in 123.7 ms — etykieta 0.25
+2026-05-14 09:43:20.949 [INFO   ] app.inference.worker_manager: frame 566: 1 detection(s) in 215.0 ms — etykieta 0.26
+2026-05-14 09:43:21.401 [INFO   ] app.inference.worker_manager: frame 568: 1 detection(s) in 155.2 ms — etykieta 0.26
+2026-05-14 09:43:22.249 [INFO   ] app.inference.worker_manager: frame 571: 1 detection(s) in 173.6 ms — etykieta 0.26
+2026-05-14 09:43:23.449 [INFO   ] app.inference.worker_manager: frame 576: 1 detection(s) in 157.7 ms — etykieta 0.26
+2026-05-14 09:43:24.650 [INFO   ] app.inference.worker_manager: frame 581: 1 detection(s) in 166.7 ms — etykieta 0.25
+2026-05-14 09:43:25.099 [INFO   ] app.inference.worker_manager: frame 583: 1 detection(s) in 137.3 ms — etykieta 0.26
+2026-05-14 09:43:25.550 [INFO   ] app.inference.worker_manager: frame 585: 1 detection(s) in 137.5 ms — etykieta 0.25
+2026-05-14 09:43:26.200 [INFO   ] app.inference.worker_manager: frame 588: 1 detection(s) in 146.6 ms — etykieta 0.26
+2026-05-14 09:43:26.845 [DEBUG  ] app.inference.worker_manager: InferenceManager: paused
+2026-05-14 09:43:26.845 [DEBUG  ] app.pipeline.frame_dispatcher: Subscriber not found for removal: <bound method InferenceManager.submit_frame of <app.inference.worker_manager.InferenceManager(0x7fc86adfc2f0) at 0x1faeffac0>>
+2026-05-14 09:43:26.846 [INFO   ] app.ui.main_window: Inference disabled
+2026-05-14 09:43:42.400 [DEBUG  ] app.ui.menu_bar: Format selected: 1280x720 @ 30 fps (NV12)
+2026-05-14 09:43:42.400 [INFO   ] app.ui.main_window: Format selected via menu: 1280x720 @ 30 fps (NV12)
+2026-05-14 09:43:42.400 [INFO   ] app.camera.camera_service: Format change: 1280x720 @ 30 fps (NV12) — restarting camera
+2026-05-14 09:43:42.449 [INFO   ] app.camera.camera_service: Camera inactive
+2026-05-14 09:43:42.450 [DEBUG  ] app.camera.camera_service: Camera stopped (internal)
+2026-05-14 09:43:42.480 [INFO   ] app.camera.camera_service: Camera format requested: NV12 1280x720 @ 30 fps
+2026-05-14 09:43:42.565 [INFO   ] app.camera.camera_service: Camera active: HD USB CAMERA
+2026-05-14 09:43:42.565 [INFO   ] app.camera.camera_service: Camera format ACTUAL: NV12 1280x720 @ 30 fps
+2026-05-14 09:43:42.566 [INFO   ] app.ui.main_window: Camera streaming: HD USB CAMERA
+2026-05-14 09:43:42.566 [INFO   ] app.camera.camera_service: Camera start requested: HD USB CAMERA
+2026-05-14 09:43:52.497 [DEBUG  ] app.ui.menu_bar: Format selected: 1920x1080 @ 30 fps (NV12)
+2026-05-14 09:43:52.497 [INFO   ] app.ui.main_window: Format selected via menu: 1920x1080 @ 30 fps (NV12)
+2026-05-14 09:43:52.498 [INFO   ] app.camera.camera_service: Format change: 1920x1080 @ 30 fps (NV12) — restarting camera
+2026-05-14 09:43:52.538 [INFO   ] app.camera.camera_service: Camera inactive
+2026-05-14 09:43:52.538 [DEBUG  ] app.camera.camera_service: Camera stopped (internal)
+2026-05-14 09:43:52.568 [INFO   ] app.camera.camera_service: Camera format requested: NV12 1920x1080 @ 30 fps
+2026-05-14 09:43:52.639 [INFO   ] app.camera.camera_service: Camera active: HD USB CAMERA
+2026-05-14 09:43:52.640 [INFO   ] app.camera.camera_service: Camera format ACTUAL: NV12 1920x1080 @ 30 fps
+2026-05-14 09:43:52.640 [INFO   ] app.ui.main_window: Camera streaming: HD USB CAMERA
+2026-05-14 09:43:52.640 [INFO   ] app.camera.camera_service: Camera start requested: HD USB CAMERA
+2026-05-14 09:44:17.191 [DEBUG  ] app.ui.menu_bar: Format selected: 1600x1200 @ 30 fps (NV12)
+2026-05-14 09:44:17.191 [INFO   ] app.ui.main_window: Format selected via menu: 1600x1200 @ 30 fps (NV12)
+2026-05-14 09:44:17.191 [INFO   ] app.camera.camera_service: Format change: 1600x1200 @ 30 fps (NV12) — restarting camera
+2026-05-14 09:44:17.221 [INFO   ] app.camera.camera_service: Camera inactive
+2026-05-14 09:44:17.222 [DEBUG  ] app.camera.camera_service: Camera stopped (internal)
+2026-05-14 09:44:17.254 [INFO   ] app.camera.camera_service: Camera format requested: NV12 1600x1200 @ 30 fps
+2026-05-14 09:44:17.338 [INFO   ] app.camera.camera_service: Camera active: HD USB CAMERA
+2026-05-14 09:44:17.338 [INFO   ] app.camera.camera_service: Camera format ACTUAL: NV12 1600x1200 @ 30 fps
+2026-05-14 09:44:17.339 [INFO   ] app.ui.main_window: Camera streaming: HD USB CAMERA
+2026-05-14 09:44:17.339 [INFO   ] app.camera.camera_service: Camera start requested: HD USB CAMERA
+2026-05-14 09:44:40.310 [DEBUG  ] app.ui.menu_bar: Format selected: 1280x720 @ 30 fps (NV12)
+2026-05-14 09:44:40.311 [INFO   ] app.ui.main_window: Format selected via menu: 1280x720 @ 30 fps (NV12)
+2026-05-14 09:44:40.311 [INFO   ] app.camera.camera_service: Format change: 1280x720 @ 30 fps (NV12) — restarting camera
+2026-05-14 09:44:40.363 [INFO   ] app.camera.camera_service: Camera inactive
+2026-05-14 09:44:40.364 [DEBUG  ] app.camera.camera_service: Camera stopped (internal)
+2026-05-14 09:44:40.392 [INFO   ] app.camera.camera_service: Camera format requested: NV12 1280x720 @ 30 fps
+2026-05-14 09:44:40.482 [INFO   ] app.camera.camera_service: Camera active: HD USB CAMERA
+2026-05-14 09:44:40.482 [INFO   ] app.camera.camera_service: Camera format ACTUAL: NV12 1280x720 @ 30 fps
+2026-05-14 09:44:40.483 [INFO   ] app.ui.main_window: Camera streaming: HD USB CAMERA
+2026-05-14 09:44:40.483 [INFO   ] app.camera.camera_service: Camera start requested: HD USB CAMERA
+2026-05-14 09:44:57.525 [DEBUG  ] app.inference.worker_manager: InferenceManager: resumed
+2026-05-14 09:44:57.525 [DEBUG  ] app.pipeline.frame_dispatcher: Subscriber added: <bound method InferenceManager.submit_frame of <app.inference.worker_manager.InferenceManager(0x7fc86adfc2f0) at 0x1faeffac0>> (drop_if_busy=True)
+2026-05-14 09:44:57.525 [INFO   ] app.ui.main_window: Inference enabled
+2026-05-14 09:45:13.010 [INFO   ] app.inference.worker_manager: frame 664: 1 detection(s) in 132.7 ms — etykieta 0.36
+2026-05-14 09:45:13.253 [INFO   ] app.inference.worker_manager: frame 665: 1 detection(s) in 157.1 ms — etykieta 0.46
+2026-05-14 09:45:13.506 [INFO   ] app.inference.worker_manager: frame 666: 1 detection(s) in 133.0 ms — etykieta 0.59
+2026-05-14 09:45:13.707 [INFO   ] app.inference.worker_manager: frame 667: 1 detection(s) in 134.0 ms — etykieta 0.55
+2026-05-14 09:45:13.905 [INFO   ] app.inference.worker_manager: frame 668: 1 detection(s) in 126.4 ms — etykieta 0.57
+2026-05-14 09:45:14.153 [INFO   ] app.inference.worker_manager: frame 669: 1 detection(s) in 171.8 ms — etykieta 0.53
+2026-05-14 09:45:14.353 [INFO   ] app.inference.worker_manager: frame 670: 1 detection(s) in 134.3 ms — etykieta 0.54
+2026-05-14 09:45:14.559 [INFO   ] app.inference.worker_manager: frame 671: 1 detection(s) in 139.9 ms — etykieta 0.55
+2026-05-14 09:45:14.760 [INFO   ] app.inference.worker_manager: frame 672: 1 detection(s) in 141.1 ms — etykieta 0.54
+2026-05-14 09:45:14.958 [INFO   ] app.inference.worker_manager: frame 673: 1 detection(s) in 134.1 ms — etykieta 0.55
+2026-05-14 09:45:15.161 [INFO   ] app.inference.worker_manager: frame 674: 1 detection(s) in 140.3 ms — etykieta 0.57
+2026-05-14 09:45:15.357 [INFO   ] app.inference.worker_manager: frame 675: 1 detection(s) in 137.1 ms — etykieta 0.55
+2026-05-14 09:45:15.603 [INFO   ] app.inference.worker_manager: frame 676: 1 detection(s) in 141.8 ms — etykieta 0.53
+2026-05-14 09:45:15.803 [INFO   ] app.inference.worker_manager: frame 677: 1 detection(s) in 140.9 ms — etykieta 0.58
+2026-05-14 09:45:16.202 [INFO   ] app.inference.worker_manager: frame 678: 1 detection(s) in 218.5 ms — etykieta 0.52
+2026-05-14 09:45:16.408 [INFO   ] app.inference.worker_manager: frame 679: 1 detection(s) in 131.6 ms — etykieta 0.51
+2026-05-14 09:45:16.603 [INFO   ] app.inference.worker_manager: frame 680: 1 detection(s) in 135.5 ms — etykieta 0.47
+2026-05-14 09:45:16.853 [INFO   ] app.inference.worker_manager: frame 681: 1 detection(s) in 144.0 ms — etykieta 0.46
+2026-05-14 09:45:17.052 [INFO   ] app.inference.worker_manager: frame 682: 1 detection(s) in 131.8 ms — etykieta 0.42
+2026-05-14 09:45:17.252 [INFO   ] app.inference.worker_manager: frame 683: 1 detection(s) in 135.9 ms — etykieta 0.46
+2026-05-14 09:45:17.452 [INFO   ] app.inference.worker_manager: frame 684: 1 detection(s) in 117.5 ms — etykieta 0.46
+2026-05-14 09:45:17.653 [INFO   ] app.inference.worker_manager: frame 685: 1 detection(s) in 133.5 ms — etykieta 0.45
+2026-05-14 09:45:17.860 [INFO   ] app.inference.worker_manager: frame 686: 1 detection(s) in 139.1 ms — etykieta 0.46
+2026-05-14 09:45:18.102 [INFO   ] app.inference.worker_manager: frame 687: 1 detection(s) in 122.8 ms — etykieta 0.52
+2026-05-14 09:45:18.303 [INFO   ] app.inference.worker_manager: frame 688: 1 detection(s) in 139.2 ms — etykieta 0.50
+2026-05-14 09:45:18.502 [INFO   ] app.inference.worker_manager: frame 689: 1 detection(s) in 134.1 ms — etykieta 0.50
+2026-05-14 09:45:18.703 [INFO   ] app.inference.worker_manager: frame 690: 1 detection(s) in 134.5 ms — etykieta 0.52
+2026-05-14 09:45:18.902 [INFO   ] app.inference.worker_manager: frame 691: 1 detection(s) in 133.6 ms — etykieta 0.52
+2026-05-14 09:45:19.154 [INFO   ] app.inference.worker_manager: frame 692: 1 detection(s) in 175.9 ms — etykieta 0.52
+2026-05-14 09:45:19.353 [INFO   ] app.inference.worker_manager: frame 693: 1 detection(s) in 145.5 ms — etykieta 0.54
+2026-05-14 09:45:19.553 [INFO   ] app.inference.worker_manager: frame 694: 1 detection(s) in 133.4 ms — etykieta 0.50
+2026-05-14 09:45:19.752 [INFO   ] app.inference.worker_manager: frame 695: 1 detection(s) in 134.3 ms — etykieta 0.51
+2026-05-14 09:45:19.953 [INFO   ] app.inference.worker_manager: frame 696: 1 detection(s) in 128.8 ms — etykieta 0.46
+2026-05-14 09:45:20.153 [INFO   ] app.inference.worker_manager: frame 697: 1 detection(s) in 134.9 ms — etykieta 0.50
+2026-05-14 09:45:20.353 [INFO   ] app.inference.worker_manager: frame 698: 1 detection(s) in 136.0 ms — etykieta 0.53
+2026-05-14 09:45:20.602 [INFO   ] app.inference.worker_manager: frame 699: 1 detection(s) in 144.3 ms — etykieta 0.58
+2026-05-14 09:45:20.802 [INFO   ] app.inference.worker_manager: frame 700: 1 detection(s) in 134.9 ms — etykieta 0.45
+2026-05-14 09:45:21.003 [INFO   ] app.inference.worker_manager: frame 701: 1 detection(s) in 137.4 ms — etykieta 0.53
+2026-05-14 09:45:21.203 [INFO   ] app.inference.worker_manager: frame 702: 1 detection(s) in 133.9 ms — etykieta 0.42
+2026-05-14 09:45:21.452 [INFO   ] app.inference.worker_manager: frame 703: 1 detection(s) in 174.4 ms — etykieta 0.36
+2026-05-14 09:45:21.703 [INFO   ] app.inference.worker_manager: frame 704: 1 detection(s) in 137.7 ms — etykieta 0.40
+2026-05-14 09:45:21.903 [INFO   ] app.inference.worker_manager: frame 705: 1 detection(s) in 133.5 ms — etykieta 0.33
+2026-05-14 09:45:23.002 [INFO   ] app.inference.worker_manager: frame 710: 1 detection(s) in 154.4 ms — etykieta 0.31
+2026-05-14 09:45:23.202 [INFO   ] app.inference.worker_manager: frame 711: 1 detection(s) in 156.7 ms — etykieta 0.42
+2026-05-14 09:45:23.403 [INFO   ] app.inference.worker_manager: frame 712: 1 detection(s) in 131.9 ms — etykieta 0.48
+2026-05-14 09:45:23.604 [INFO   ] app.inference.worker_manager: frame 713: 1 detection(s) in 147.7 ms — etykieta 0.50
+2026-05-14 09:45:23.803 [INFO   ] app.inference.worker_manager: frame 714: 1 detection(s) in 137.3 ms — etykieta 0.49
+2026-05-14 09:45:24.003 [INFO   ] app.inference.worker_manager: frame 715: 1 detection(s) in 138.4 ms — etykieta 0.41
+2026-05-14 09:45:24.252 [INFO   ] app.inference.worker_manager: frame 716: 1 detection(s) in 146.8 ms — etykieta 0.37
+2026-05-14 09:45:24.453 [INFO   ] app.inference.worker_manager: frame 717: 1 detection(s) in 138.7 ms — etykieta 0.40
+2026-05-14 09:45:24.660 [INFO   ] app.inference.worker_manager: frame 718: 1 detection(s) in 135.9 ms — etykieta 0.34
+2026-05-14 09:45:24.859 [INFO   ] app.inference.worker_manager: frame 719: 1 detection(s) in 140.9 ms — etykieta 0.41
+2026-05-14 09:45:25.056 [INFO   ] app.inference.worker_manager: frame 720: 1 detection(s) in 132.6 ms — etykieta 0.35
+2026-05-14 09:45:25.253 [INFO   ] app.inference.worker_manager: frame 721: 1 detection(s) in 132.9 ms — etykieta 0.35
+2026-05-14 09:45:25.453 [INFO   ] app.inference.worker_manager: frame 722: 1 detection(s) in 132.8 ms — etykieta 0.39
+2026-05-14 09:45:25.653 [INFO   ] app.inference.worker_manager: frame 723: 1 detection(s) in 142.4 ms — etykieta 0.44
+2026-05-14 09:45:25.853 [INFO   ] app.inference.worker_manager: frame 724: 1 detection(s) in 135.7 ms — etykieta 0.43
+2026-05-14 09:45:26.108 [INFO   ] app.inference.worker_manager: frame 725: 1 detection(s) in 139.4 ms — etykieta 0.42
+2026-05-14 09:45:26.310 [INFO   ] app.inference.worker_manager: frame 726: 1 detection(s) in 130.5 ms — etykieta 0.47
+2026-05-14 09:45:26.509 [INFO   ] app.inference.worker_manager: frame 727: 1 detection(s) in 134.7 ms — etykieta 0.54
+2026-05-14 09:45:26.753 [INFO   ] app.inference.worker_manager: frame 728: 1 detection(s) in 183.8 ms — etykieta 0.49
+2026-05-14 09:45:27.003 [INFO   ] app.inference.worker_manager: frame 729: 1 detection(s) in 143.6 ms — etykieta 0.48
+2026-05-14 09:45:27.202 [INFO   ] app.inference.worker_manager: frame 730: 1 detection(s) in 132.9 ms — etykieta 0.48
+2026-05-14 09:45:27.404 [INFO   ] app.inference.worker_manager: frame 731: 1 detection(s) in 134.2 ms — etykieta 0.48
+2026-05-14 09:45:27.603 [INFO   ] app.inference.worker_manager: frame 732: 1 detection(s) in 130.3 ms — etykieta 0.50
+2026-05-14 09:45:27.803 [INFO   ] app.inference.worker_manager: frame 733: 1 detection(s) in 142.8 ms — etykieta 0.51
+2026-05-14 09:45:28.056 [INFO   ] app.inference.worker_manager: frame 734: 1 detection(s) in 142.0 ms — etykieta 0.54
+2026-05-14 09:45:28.258 [INFO   ] app.inference.worker_manager: frame 735: 1 detection(s) in 134.9 ms — etykieta 0.57
+2026-05-14 09:45:28.456 [INFO   ] app.inference.worker_manager: frame 736: 1 detection(s) in 134.5 ms — etykieta 0.58
+2026-05-14 09:45:28.652 [INFO   ] app.inference.worker_manager: frame 737: 1 detection(s) in 127.4 ms — etykieta 0.53
+2026-05-14 09:45:28.903 [INFO   ] app.inference.worker_manager: frame 738: 1 detection(s) in 146.6 ms — etykieta 0.52
+2026-05-14 09:45:29.153 [INFO   ] app.inference.worker_manager: frame 739: 1 detection(s) in 141.2 ms — etykieta 0.55
+2026-05-14 09:45:29.353 [INFO   ] app.inference.worker_manager: frame 740: 1 detection(s) in 129.7 ms — etykieta 0.56
+2026-05-14 09:45:29.603 [INFO   ] app.inference.worker_manager: frame 741: 1 detection(s) in 132.4 ms — etykieta 0.55
+2026-05-14 09:45:29.853 [INFO   ] app.inference.worker_manager: frame 742: 1 detection(s) in 149.9 ms — etykieta 0.54
+2026-05-14 09:45:30.053 [INFO   ] app.inference.worker_manager: frame 743: 1 detection(s) in 123.0 ms — etykieta 0.54
+2026-05-14 09:45:30.253 [INFO   ] app.inference.worker_manager: frame 744: 1 detection(s) in 133.4 ms — etykieta 0.55
+2026-05-14 09:45:30.453 [INFO   ] app.inference.worker_manager: frame 745: 1 detection(s) in 132.5 ms — etykieta 0.56
+2026-05-14 09:45:30.653 [INFO   ] app.inference.worker_manager: frame 746: 1 detection(s) in 123.2 ms — etykieta 0.54
+2026-05-14 09:45:30.853 [INFO   ] app.inference.worker_manager: frame 747: 1 detection(s) in 137.2 ms — etykieta 0.55
+2026-05-14 09:45:31.058 [INFO   ] app.inference.worker_manager: frame 748: 1 detection(s) in 133.5 ms — etykieta 0.54
+2026-05-14 09:45:31.259 [INFO   ] app.inference.worker_manager: frame 749: 1 detection(s) in 130.6 ms — etykieta 0.54
+2026-05-14 09:45:31.458 [INFO   ] app.inference.worker_manager: frame 750: 1 detection(s) in 132.4 ms — etykieta 0.55
+2026-05-14 09:45:31.655 [INFO   ] app.inference.worker_manager: frame 751: 1 detection(s) in 120.5 ms — etykieta 0.54
+2026-05-14 09:45:31.903 [INFO   ] app.inference.worker_manager: frame 752: 1 detection(s) in 152.9 ms — etykieta 0.55
+2026-05-14 09:45:32.153 [INFO   ] app.inference.worker_manager: frame 753: 1 detection(s) in 150.7 ms — etykieta 0.53
+2026-05-14 09:45:32.353 [INFO   ] app.inference.worker_manager: frame 754: 1 detection(s) in 119.4 ms — etykieta 0.53
+2026-05-14 09:45:32.553 [INFO   ] app.inference.worker_manager: frame 755: 1 detection(s) in 119.4 ms — etykieta 0.55
+2026-05-14 09:45:32.753 [INFO   ] app.inference.worker_manager: frame 756: 1 detection(s) in 120.1 ms — etykieta 0.55
+2026-05-14 09:45:32.953 [INFO   ] app.inference.worker_manager: frame 757: 1 detection(s) in 134.7 ms — etykieta 0.54
+2026-05-14 09:45:33.152 [INFO   ] app.inference.worker_manager: frame 758: 1 detection(s) in 134.0 ms — etykieta 0.54
+2026-05-14 09:45:33.403 [INFO   ] app.inference.worker_manager: frame 759: 1 detection(s) in 133.8 ms — etykieta 0.53
+2026-05-14 09:45:33.606 [INFO   ] app.inference.worker_manager: frame 760: 1 detection(s) in 133.6 ms — etykieta 0.54
+2026-05-14 09:45:33.902 [INFO   ] app.inference.worker_manager: frame 761: 1 detection(s) in 139.7 ms — etykieta 0.55
+2026-05-14 09:45:34.153 [INFO   ] app.inference.worker_manager: frame 762: 1 detection(s) in 156.5 ms — etykieta 0.55
+2026-05-14 09:45:34.361 [INFO   ] app.inference.worker_manager: frame 763: 1 detection(s) in 135.3 ms — etykieta 0.53
+2026-05-14 09:45:34.560 [INFO   ] app.inference.worker_manager: frame 764: 1 detection(s) in 133.3 ms — etykieta 0.54
+2026-05-14 09:45:34.857 [INFO   ] app.inference.worker_manager: frame 765: 1 detection(s) in 133.8 ms — etykieta 0.55
+2026-05-14 09:45:35.060 [INFO   ] app.inference.worker_manager: frame 766: 1 detection(s) in 137.4 ms — etykieta 0.53
+2026-05-14 09:45:35.255 [INFO   ] app.inference.worker_manager: frame 767: 1 detection(s) in 128.9 ms — etykieta 0.54
+2026-05-14 09:45:35.453 [INFO   ] app.inference.worker_manager: frame 768: 1 detection(s) in 134.6 ms — etykieta 0.54
+2026-05-14 09:45:35.652 [INFO   ] app.inference.worker_manager: frame 769: 1 detection(s) in 123.0 ms — etykieta 0.56
+2026-05-14 09:45:35.853 [INFO   ] app.inference.worker_manager: frame 770: 1 detection(s) in 139.6 ms — etykieta 0.55
+2026-05-14 09:45:36.054 [INFO   ] app.inference.worker_manager: frame 771: 1 detection(s) in 140.4 ms — etykieta 0.55
+2026-05-14 09:45:36.253 [INFO   ] app.inference.worker_manager: frame 772: 1 detection(s) in 136.0 ms — etykieta 0.54
+2026-05-14 09:45:36.453 [INFO   ] app.inference.worker_manager: frame 773: 1 detection(s) in 138.8 ms — etykieta 0.54
+2026-05-14 09:45:36.653 [INFO   ] app.inference.worker_manager: frame 774: 1 detection(s) in 119.7 ms — etykieta 0.55
+2026-05-14 09:45:36.853 [INFO   ] app.inference.worker_manager: frame 775: 1 detection(s) in 149.1 ms — etykieta 0.55
+2026-05-14 09:45:37.055 [INFO   ] app.inference.worker_manager: frame 776: 1 detection(s) in 148.9 ms — etykieta 0.55
+2026-05-14 09:45:37.303 [INFO   ] app.inference.worker_manager: frame 777: 1 detection(s) in 193.4 ms — etykieta 0.55
+2026-05-14 09:45:37.553 [INFO   ] app.inference.worker_manager: frame 778: 1 detection(s) in 157.7 ms — etykieta 0.55
+2026-05-14 09:45:37.761 [INFO   ] app.inference.worker_manager: frame 779: 1 detection(s) in 148.5 ms — etykieta 0.54
+2026-05-14 09:45:38.003 [INFO   ] app.inference.worker_manager: frame 780: 1 detection(s) in 138.4 ms — etykieta 0.54
+2026-05-14 09:45:38.203 [INFO   ] app.inference.worker_manager: frame 781: 1 detection(s) in 135.8 ms — etykieta 0.55
+2026-05-14 09:45:38.403 [INFO   ] app.inference.worker_manager: frame 782: 1 detection(s) in 129.7 ms — etykieta 0.55
+2026-05-14 09:45:38.602 [INFO   ] app.inference.worker_manager: frame 783: 1 detection(s) in 131.1 ms — etykieta 0.55
+2026-05-14 09:45:38.803 [INFO   ] app.inference.worker_manager: frame 784: 1 detection(s) in 128.5 ms — etykieta 0.55
+2026-05-14 09:45:39.004 [INFO   ] app.inference.worker_manager: frame 785: 1 detection(s) in 135.2 ms — etykieta 0.54
+2026-05-14 09:45:39.203 [INFO   ] app.inference.worker_manager: frame 786: 1 detection(s) in 158.1 ms — etykieta 0.55
+2026-05-14 09:45:39.402 [INFO   ] app.inference.worker_manager: frame 787: 1 detection(s) in 136.4 ms — etykieta 0.55
+2026-05-14 09:45:39.607 [INFO   ] app.inference.worker_manager: frame 788: 1 detection(s) in 127.2 ms — etykieta 0.55
+2026-05-14 09:45:39.809 [INFO   ] app.inference.worker_manager: frame 789: 1 detection(s) in 132.1 ms — etykieta 0.55
+2026-05-14 09:45:40.006 [INFO   ] app.inference.worker_manager: frame 790: 1 detection(s) in 131.2 ms — etykieta 0.55
+2026-05-14 09:45:40.204 [INFO   ] app.inference.worker_manager: frame 791: 1 detection(s) in 122.7 ms — etykieta 0.55
+2026-05-14 09:45:40.403 [INFO   ] app.inference.worker_manager: frame 792: 1 detection(s) in 125.4 ms — etykieta 0.53
+2026-05-14 09:45:40.603 [INFO   ] app.inference.worker_manager: frame 793: 1 detection(s) in 136.4 ms — etykieta 0.56
+2026-05-14 09:45:40.861 [INFO   ] app.inference.worker_manager: frame 794: 1 detection(s) in 140.4 ms — etykieta 0.54
+2026-05-14 09:45:41.053 [INFO   ] app.inference.worker_manager: frame 795: 1 detection(s) in 129.7 ms — etykieta 0.55
+2026-05-14 09:45:41.260 [INFO   ] app.inference.worker_manager: frame 796: 1 detection(s) in 130.6 ms — etykieta 0.55
+2026-05-14 09:45:41.453 [INFO   ] app.inference.worker_manager: frame 797: 1 detection(s) in 125.6 ms — etykieta 0.54
+2026-05-14 09:45:41.753 [INFO   ] app.inference.worker_manager: frame 798: 1 detection(s) in 140.0 ms — etykieta 0.55
+2026-05-14 09:45:41.953 [INFO   ] app.inference.worker_manager: frame 799: 1 detection(s) in 131.8 ms — etykieta 0.55
+2026-05-14 09:45:42.154 [INFO   ] app.inference.worker_manager: frame 800: 1 detection(s) in 132.3 ms — etykieta 0.54
+2026-05-14 09:45:42.453 [INFO   ] app.inference.worker_manager: frame 801: 1 detection(s) in 174.1 ms — etykieta 0.54
+2026-05-14 09:45:42.653 [INFO   ] app.inference.worker_manager: frame 802: 1 detection(s) in 134.1 ms — etykieta 0.54
+2026-05-14 09:45:42.852 [INFO   ] app.inference.worker_manager: frame 803: 1 detection(s) in 134.6 ms — etykieta 0.55
+2026-05-14 09:45:43.053 [INFO   ] app.inference.worker_manager: frame 804: 1 detection(s) in 127.8 ms — etykieta 0.54
+2026-05-14 09:45:43.254 [INFO   ] app.inference.worker_manager: frame 805: 1 detection(s) in 130.3 ms — etykieta 0.55
+2026-05-14 09:45:43.454 [INFO   ] app.inference.worker_manager: frame 806: 1 detection(s) in 131.0 ms — etykieta 0.56
+2026-05-14 09:45:43.653 [INFO   ] app.inference.worker_manager: frame 807: 1 detection(s) in 132.9 ms — etykieta 0.54
+2026-05-14 09:45:43.853 [INFO   ] app.inference.worker_manager: frame 808: 1 detection(s) in 128.6 ms — etykieta 0.54
+2026-05-14 09:45:44.053 [INFO   ] app.inference.worker_manager: frame 809: 1 detection(s) in 142.0 ms — etykieta 0.55
+2026-05-14 09:45:44.260 [INFO   ] app.inference.worker_manager: frame 810: 1 detection(s) in 126.7 ms — etykieta 0.56
+2026-05-14 09:45:44.503 [INFO   ] app.inference.worker_manager: frame 811: 1 detection(s) in 149.8 ms — etykieta 0.55
+2026-05-14 09:45:44.754 [INFO   ] app.inference.worker_manager: frame 812: 1 detection(s) in 157.2 ms — etykieta 0.55
+2026-05-14 09:45:44.956 [INFO   ] app.inference.worker_manager: frame 813: 1 detection(s) in 136.7 ms — etykieta 0.56
+2026-05-14 09:45:45.153 [INFO   ] app.inference.worker_manager: frame 814: 1 detection(s) in 113.4 ms — etykieta 0.54
+2026-05-14 09:45:45.353 [INFO   ] app.inference.worker_manager: frame 815: 1 detection(s) in 135.8 ms — etykieta 0.55
+2026-05-14 09:45:45.553 [INFO   ] app.inference.worker_manager: frame 816: 1 detection(s) in 137.4 ms — etykieta 0.54
+2026-05-14 09:45:45.753 [INFO   ] app.inference.worker_manager: frame 817: 1 detection(s) in 147.1 ms — etykieta 0.56
+2026-05-14 09:45:46.009 [INFO   ] app.inference.worker_manager: frame 818: 1 detection(s) in 138.3 ms — etykieta 0.55
+2026-05-14 09:45:46.210 [INFO   ] app.inference.worker_manager: frame 819: 1 detection(s) in 130.0 ms — etykieta 0.55
+2026-05-14 09:45:46.454 [INFO   ] app.inference.worker_manager: frame 820: 1 detection(s) in 157.9 ms — etykieta 0.54
+2026-05-14 09:45:46.653 [INFO   ] app.inference.worker_manager: frame 821: 1 detection(s) in 156.2 ms — etykieta 0.54
+2026-05-14 09:45:46.903 [INFO   ] app.inference.worker_manager: frame 822: 1 detection(s) in 152.9 ms — etykieta 0.55
+2026-05-14 09:45:47.153 [INFO   ] app.inference.worker_manager: frame 823: 1 detection(s) in 151.0 ms — etykieta 0.55
+2026-05-14 09:45:47.353 [INFO   ] app.inference.worker_manager: frame 824: 1 detection(s) in 130.2 ms — etykieta 0.54
+2026-05-14 09:45:47.553 [INFO   ] app.inference.worker_manager: frame 825: 1 detection(s) in 161.9 ms — etykieta 0.55
+2026-05-14 09:45:47.803 [INFO   ] app.inference.worker_manager: frame 826: 1 detection(s) in 151.9 ms — etykieta 0.54
+2026-05-14 09:45:48.004 [INFO   ] app.inference.worker_manager: frame 827: 1 detection(s) in 131.1 ms — etykieta 0.55
+2026-05-14 09:45:48.204 [INFO   ] app.inference.worker_manager: frame 828: 1 detection(s) in 131.6 ms — etykieta 0.55
+2026-05-14 09:45:48.403 [INFO   ] app.inference.worker_manager: frame 829: 1 detection(s) in 121.7 ms — etykieta 0.55
+2026-05-14 09:45:48.603 [INFO   ] app.inference.worker_manager: frame 830: 1 detection(s) in 118.1 ms — etykieta 0.55
+2026-05-14 09:45:48.753 [INFO   ] app.inference.worker_manager: frame 831: 1 detection(s) in 113.2 ms — etykieta 0.54
+2026-05-14 09:45:48.953 [INFO   ] app.inference.worker_manager: frame 832: 1 detection(s) in 130.6 ms — etykieta 0.56
+2026-05-14 09:45:49.203 [INFO   ] app.inference.worker_manager: frame 833: 1 detection(s) in 158.7 ms — etykieta 0.54
+2026-05-14 09:45:49.454 [INFO   ] app.inference.worker_manager: frame 834: 1 detection(s) in 131.5 ms — etykieta 0.55
+2026-05-14 09:45:49.654 [INFO   ] app.inference.worker_manager: frame 835: 1 detection(s) in 135.1 ms — etykieta 0.55
+2026-05-14 09:45:50.003 [INFO   ] app.inference.worker_manager: frame 836: 1 detection(s) in 124.7 ms — etykieta 0.54
+2026-05-14 09:45:50.203 [INFO   ] app.inference.worker_manager: frame 837: 1 detection(s) in 131.8 ms — etykieta 0.56
+2026-05-14 09:45:50.454 [INFO   ] app.inference.worker_manager: frame 838: 1 detection(s) in 135.4 ms — etykieta 0.54
+2026-05-14 09:45:50.653 [INFO   ] app.inference.worker_manager: frame 839: 1 detection(s) in 142.8 ms — etykieta 0.55
+2026-05-14 09:45:50.862 [INFO   ] app.inference.worker_manager: frame 840: 1 detection(s) in 123.8 ms — etykieta 0.54
+2026-05-14 09:45:51.053 [INFO   ] app.inference.worker_manager: frame 841: 1 detection(s) in 123.8 ms — etykieta 0.54
+2026-05-14 09:45:51.304 [INFO   ] app.inference.worker_manager: frame 842: 1 detection(s) in 150.8 ms — etykieta 0.54
+2026-05-14 09:45:51.504 [INFO   ] app.inference.worker_manager: frame 843: 1 detection(s) in 141.5 ms — etykieta 0.54
+2026-05-14 09:45:51.703 [INFO   ] app.inference.worker_manager: frame 844: 1 detection(s) in 126.4 ms — etykieta 0.55
+2026-05-14 09:45:51.904 [INFO   ] app.inference.worker_manager: frame 845: 1 detection(s) in 150.7 ms — etykieta 0.55
+2026-05-14 09:45:52.103 [INFO   ] app.inference.worker_manager: frame 846: 1 detection(s) in 143.7 ms — etykieta 0.55
+2026-05-14 09:45:52.303 [INFO   ] app.inference.worker_manager: frame 847: 1 detection(s) in 130.6 ms — etykieta 0.55
+2026-05-14 09:45:52.554 [INFO   ] app.inference.worker_manager: frame 848: 1 detection(s) in 123.4 ms — etykieta 0.55
+2026-05-14 09:45:52.810 [INFO   ] app.inference.worker_manager: frame 849: 1 detection(s) in 177.1 ms — etykieta 0.54
+2026-05-14 09:45:53.010 [INFO   ] app.inference.worker_manager: frame 850: 1 detection(s) in 130.7 ms — etykieta 0.54
+2026-05-14 09:45:53.206 [INFO   ] app.inference.worker_manager: frame 851: 1 detection(s) in 121.3 ms — etykieta 0.54
+2026-05-14 09:45:53.408 [INFO   ] app.inference.worker_manager: frame 852: 1 detection(s) in 140.4 ms — etykieta 0.56
+2026-05-14 09:45:53.654 [INFO   ] app.inference.worker_manager: frame 853: 1 detection(s) in 134.5 ms — etykieta 0.54
+2026-05-14 09:45:53.854 [INFO   ] app.inference.worker_manager: frame 854: 1 detection(s) in 123.1 ms — etykieta 0.53
+2026-05-14 09:45:54.103 [INFO   ] app.inference.worker_manager: frame 855: 1 detection(s) in 137.7 ms — etykieta 0.54
+2026-05-14 09:45:54.304 [INFO   ] app.inference.worker_manager: frame 856: 1 detection(s) in 126.3 ms — etykieta 0.53
+2026-05-14 09:45:54.505 [INFO   ] app.inference.worker_manager: frame 857: 1 detection(s) in 122.2 ms — etykieta 0.54
+2026-05-14 09:45:54.704 [INFO   ] app.inference.worker_manager: frame 858: 1 detection(s) in 138.9 ms — etykieta 0.54
+2026-05-14 09:45:54.904 [INFO   ] app.inference.worker_manager: frame 859: 1 detection(s) in 113.3 ms — etykieta 0.54
+2026-05-14 09:45:55.104 [INFO   ] app.inference.worker_manager: frame 860: 1 detection(s) in 119.8 ms — etykieta 0.53
+2026-05-14 09:45:55.254 [INFO   ] app.inference.worker_manager: frame 861: 1 detection(s) in 111.9 ms — etykieta 0.53
+2026-05-14 09:45:55.454 [INFO   ] app.inference.worker_manager: frame 862: 1 detection(s) in 134.1 ms — etykieta 0.51
+2026-05-14 09:45:55.654 [INFO   ] app.inference.worker_manager: frame 863: 1 detection(s) in 121.8 ms — etykieta 0.53
+2026-05-14 09:46:08.521 [DEBUG  ] app.inference.worker_manager: InferenceManager: paused
+2026-05-14 09:46:08.522 [DEBUG  ] app.pipeline.frame_dispatcher: Subscriber not found for removal: <bound method InferenceManager.submit_frame of <app.inference.worker_manager.InferenceManager(0x7fc86adfc2f0) at 0x1faeffac0>>
+2026-05-14 09:46:08.522 [INFO   ] app.ui.main_window: Inference disabled
+2026-05-14 09:46:23.807 [DEBUG  ] app.ui.menu_bar: Format selected: 1600x1200 @ 30 fps (NV12)
+2026-05-14 09:46:23.807 [INFO   ] app.ui.main_window: Format selected via menu: 1600x1200 @ 30 fps (NV12)
+2026-05-14 09:46:23.808 [INFO   ] app.camera.camera_service: Format change: 1600x1200 @ 30 fps (NV12) — restarting camera
+2026-05-14 09:46:23.859 [INFO   ] app.camera.camera_service: Camera inactive
+2026-05-14 09:46:23.860 [DEBUG  ] app.camera.camera_service: Camera stopped (internal)
+2026-05-14 09:46:23.886 [INFO   ] app.camera.camera_service: Camera format requested: NV12 1600x1200 @ 30 fps
+2026-05-14 09:46:23.965 [INFO   ] app.camera.camera_service: Camera active: HD USB CAMERA
+2026-05-14 09:46:23.966 [INFO   ] app.camera.camera_service: Camera format ACTUAL: NV12 1600x1200 @ 30 fps
+2026-05-14 09:46:23.966 [INFO   ] app.ui.main_window: Camera streaming: HD USB CAMERA
+2026-05-14 09:46:23.966 [INFO   ] app.camera.camera_service: Camera start requested: HD USB CAMERA
+2026-05-14 09:46:32.338 [DEBUG  ] app.ui.menu_bar: Format selected: 1920x1080 @ 30 fps (NV12)
+2026-05-14 09:46:32.338 [INFO   ] app.ui.main_window: Format selected via menu: 1920x1080 @ 30 fps (NV12)
+2026-05-14 09:46:32.339 [INFO   ] app.camera.camera_service: Format change: 1920x1080 @ 30 fps (NV12) — restarting camera
+2026-05-14 09:46:32.387 [INFO   ] app.camera.camera_service: Camera inactive
+2026-05-14 09:46:32.387 [DEBUG  ] app.camera.camera_service: Camera stopped (internal)
+2026-05-14 09:46:32.416 [INFO   ] app.camera.camera_service: Camera format requested: NV12 1920x1080 @ 30 fps
+2026-05-14 09:46:32.496 [INFO   ] app.camera.camera_service: Camera active: HD USB CAMERA
+2026-05-14 09:46:32.496 [INFO   ] app.camera.camera_service: Camera format ACTUAL: NV12 1920x1080 @ 30 fps
+2026-05-14 09:46:32.496 [INFO   ] app.ui.main_window: Camera streaming: HD USB CAMERA
+2026-05-14 09:46:32.496 [INFO   ] app.camera.camera_service: Camera start requested: HD USB CAMERA
+2026-05-14 09:46:46.600 [DEBUG  ] app.ui.menu_bar: Format selected: 2048x1536 @ 30 fps (NV12)
+2026-05-14 09:46:46.600 [INFO   ] app.ui.main_window: Format selected via menu: 2048x1536 @ 30 fps (NV12)
+2026-05-14 09:46:46.601 [INFO   ] app.camera.camera_service: Format change: 2048x1536 @ 30 fps (NV12) — restarting camera
+2026-05-14 09:46:46.648 [INFO   ] app.camera.camera_service: Camera inactive
+2026-05-14 09:46:46.648 [DEBUG  ] app.camera.camera_service: Camera stopped (internal)
+2026-05-14 09:46:46.675 [INFO   ] app.camera.camera_service: Camera format requested: NV12 2048x1536 @ 30 fps
+2026-05-14 09:46:46.762 [INFO   ] app.camera.camera_service: Camera active: HD USB CAMERA
+2026-05-14 09:46:46.762 [INFO   ] app.camera.camera_service: Camera format ACTUAL: NV12 2048x1536 @ 30 fps
+2026-05-14 09:46:46.762 [INFO   ] app.ui.main_window: Camera streaming: HD USB CAMERA
+2026-05-14 09:46:46.762 [INFO   ] app.camera.camera_service: Camera start requested: HD USB CAMERA
+2026-05-14 09:47:02.153 [DEBUG  ] app.ui.menu_bar: Format selected: 1920x1080 @ 30 fps (NV12)
+2026-05-14 09:47:02.153 [INFO   ] app.ui.main_window: Format selected via menu: 1920x1080 @ 30 fps (NV12)
+2026-05-14 09:47:02.154 [INFO   ] app.camera.camera_service: Format change: 1920x1080 @ 30 fps (NV12) — restarting camera
+2026-05-14 09:47:02.185 [INFO   ] app.camera.camera_service: Camera inactive
+2026-05-14 09:47:02.185 [DEBUG  ] app.camera.camera_service: Camera stopped (internal)
+2026-05-14 09:47:02.212 [INFO   ] app.camera.camera_service: Camera format requested: NV12 1920x1080 @ 30 fps
+2026-05-14 09:47:02.293 [INFO   ] app.camera.camera_service: Camera active: HD USB CAMERA
+2026-05-14 09:47:02.294 [INFO   ] app.camera.camera_service: Camera format ACTUAL: NV12 1920x1080 @ 30 fps
+2026-05-14 09:47:02.294 [INFO   ] app.ui.main_window: Camera streaming: HD USB CAMERA
+2026-05-14 09:47:02.294 [INFO   ] app.camera.camera_service: Camera start requested: HD USB CAMERA
+2026-05-14 09:47:09.285 [INFO   ] app.inference.worker_manager: Inference worker stopped
+2026-05-14 09:47:09.340 [INFO   ] app.camera.camera_service: Camera inactive
+2026-05-14 09:47:09.340 [DEBUG  ] app.camera.camera_service: Camera stopped (internal)
+2026-05-14 09:47:09.341 [INFO   ] app.ui.main_window: CSV telemetry: 71 rows written

logs/duck-preview_2026-05-14_15-33-52.csv

@@ -0,0 +1,92 @@
+timestamp,fps_got,fps_req,frame_time_ms,dropped_frames,cpu_sys_pct,cpu_core_pct,mem_mb
+15:33:53.869,0.0,30.0,0.00,0,14.8,59.1,82.1
+15:33:58.976,25.0,30.0,39.88,0,6.6,26.5,112.2
+15:34:04.476,25.0,30.0,31.29,2,11.6,46.4,119.2
+15:34:09.484,26.0,30.0,40.44,2,8.1,32.4,120.4
+15:34:14.976,25.0,30.0,40.42,3,6.8,27.1,120.7
+15:34:19.977,0.0,30.0,41.75,5,0.2,0.7,119.8
+15:34:24.977,0.0,30.0,41.75,5,1.6,6.6,119.5
+15:34:30.477,24.0,30.0,133.59,6,7.2,28.6,121.5
+15:34:35.477,0.0,30.0,134.55,7,0.1,0.6,119.7
+15:34:40.478,0.0,30.0,134.55,7,0.2,1.0,119.6
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logs/duck-preview_2026-05-14_15-33-52.log

@@ -0,0 +1,373 @@
+========================================================================
+  Duck Preview 0.1.0
+  Session: 2026-05-14_15-33-52
+========================================================================
+  Platform : macOS-13.7.8-x86_64-i386-64bit
+  Python   : 3.12.9
+  PySide6  : 6.11.1
+  Hardware : 4 logical CPUs, 16.0 GB RAM
+  Log file : /Users/rafalkaczka/Repos/duck-preview/logs/duck-preview_2026-05-14_15-33-52.log
+========================================================================
+
+2026-05-14 15:33:52.971 [DEBUG  ] app.logging_setup: Pruned old log: duck-preview_2026-05-14_08-10-53.log
+2026-05-14 15:33:53.041 [INFO   ] __main__: Application starting (session: 2026-05-14_15-33-52)
+2026-05-14 15:33:53.203 [INFO   ] app.ui.main_window: Telemetry CSV: /Users/rafalkaczka/Repos/duck-preview/logs/duck-preview_2026-05-14_15-33-52.csv
+2026-05-14 15:33:53.204 [DEBUG  ] app.ui.camera_view: Overlay layer added: TelemetryOverlay
+2026-05-14 15:33:53.204 [DEBUG  ] app.ui.camera_view: Overlay layer added: BboxOverlay
+2026-05-14 15:33:53.387 [DEBUG  ] app.pipeline.frame_dispatcher: Subscriber added: <bound method CameraView.on_frame of <app.ui.camera_view.CameraView(0x7f7f245fd520) at 0x203728f80>> (drop_if_busy=True)
+2026-05-14 15:33:53.387 [DEBUG  ] app.pipeline.frame_dispatcher: Subscriber added: <bound method TelemetryCollector.on_frame of <app.telemetry.telemetry_collector.TelemetryCollector(0x7f7f245ed5b0) at 0x203728440>> (drop_if_busy=False)
+2026-05-14 15:33:53.394 [INFO   ] __main__: Application shutting down
+2026-05-14 15:33:53.606 [INFO   ] app.camera.camera_enumerator: Cameras found: 1
+2026-05-14 15:33:53.606 [INFO   ] app.camera.camera_enumerator:   [0] HD USB CAMERA (id: 0x1420000032e40317)
+2026-05-14 15:33:53.606 [INFO   ] app.camera.camera_enumerator:         NV12   3840x2160 @ 30.0 fps
+2026-05-14 15:33:53.606 [INFO   ] app.camera.camera_enumerator:         NV12   2592x1944 @ 30.0 fps
+2026-05-14 15:33:53.606 [INFO   ] app.camera.camera_enumerator:         NV12   2048x1536 @ 30.0 fps
+2026-05-14 15:33:53.606 [INFO   ] app.camera.camera_enumerator:         NV12   1920x1080 @ 30.0 fps
+2026-05-14 15:33:53.606 [INFO   ] app.camera.camera_enumerator:         NV12   1600x1200 @ 30.0 fps
+2026-05-14 15:33:53.606 [INFO   ] app.camera.camera_enumerator:         NV12   1280x960 @ 30.0 fps
+2026-05-14 15:33:53.606 [INFO   ] app.camera.camera_enumerator:         NV12   1280x720 @ 30.0 fps
+2026-05-14 15:33:53.606 [INFO   ] app.camera.camera_enumerator:         NV12   1024x768 @ 30.0 fps
+2026-05-14 15:33:53.606 [INFO   ] app.camera.camera_enumerator:         NV12   800x600 @ 30.0 fps
+2026-05-14 15:33:53.606 [INFO   ] app.camera.camera_enumerator:         NV12   640x480 @ 30.0 fps
+2026-05-14 15:33:53.606 [INFO   ] app.camera.camera_enumerator:         NV12   320x240 @ 30.0 fps
+2026-05-14 15:33:53.607 [INFO   ] app.camera.camera_enumerator: Cameras found: 1
+2026-05-14 15:33:53.607 [INFO   ] app.camera.camera_enumerator:   [0] HD USB CAMERA (id: 0x1420000032e40317)
+2026-05-14 15:33:53.607 [INFO   ] app.camera.camera_enumerator:         NV12   3840x2160 @ 30.0 fps
+2026-05-14 15:33:53.607 [INFO   ] app.camera.camera_enumerator:         NV12   2592x1944 @ 30.0 fps
+2026-05-14 15:33:53.607 [INFO   ] app.camera.camera_enumerator:         NV12   2048x1536 @ 30.0 fps
+2026-05-14 15:33:53.607 [INFO   ] app.camera.camera_enumerator:         NV12   1920x1080 @ 30.0 fps
+2026-05-14 15:33:53.607 [INFO   ] app.camera.camera_enumerator:         NV12   1600x1200 @ 30.0 fps
+2026-05-14 15:33:53.608 [INFO   ] app.camera.camera_enumerator:         NV12   1280x960 @ 30.0 fps
+2026-05-14 15:33:53.608 [INFO   ] app.camera.camera_enumerator:         NV12   1280x720 @ 30.0 fps
+2026-05-14 15:33:53.608 [INFO   ] app.camera.camera_enumerator:         NV12   1024x768 @ 30.0 fps
+2026-05-14 15:33:53.608 [INFO   ] app.camera.camera_enumerator:         NV12   800x600 @ 30.0 fps
+2026-05-14 15:33:53.608 [INFO   ] app.camera.camera_enumerator:         NV12   640x480 @ 30.0 fps
+2026-05-14 15:33:53.608 [INFO   ] app.camera.camera_enumerator:         NV12   320x240 @ 30.0 fps
+2026-05-14 15:33:53.633 [INFO   ] app.camera.camera_service: Camera format requested: NV12 1280x720 @ 30 fps
+2026-05-14 15:33:53.789 [INFO   ] app.camera.camera_service: Qt multimedia backend: AVFoundation
+2026-05-14 15:33:53.789 [INFO   ] app.camera.camera_service: Camera active: HD USB CAMERA
+2026-05-14 15:33:53.789 [INFO   ] app.camera.camera_service: Camera format ACTUAL: NV12 1280x720 @ 30 fps
+2026-05-14 15:33:53.789 [INFO   ] app.ui.main_window: Camera streaming: HD USB CAMERA
+2026-05-14 15:33:53.789 [INFO   ] app.camera.camera_service: Camera start requested: HD USB CAMERA
+2026-05-14 15:33:53.790 [DEBUG  ] app.camera.uvc.macos: pyuvc not available — macOS UVC controls disabled
+2026-05-14 15:33:53.790 [WARNING] app.camera.uvc: UVC: pyuvc not installed — UVC controls unavailable on macOS
+2026-05-14 15:34:04.214 [DEBUG  ] app.ui.menu_bar: Model file selected: /Users/rafalkaczka/Repos/duck-preview/models/best_v1.pt
+2026-05-14 15:34:04.215 [INFO   ] app.ui.main_window: Loading model: /Users/rafalkaczka/Repos/duck-preview/models/best_v1.pt
+2026-05-14 15:34:04.215 [INFO   ] app.inference.worker_manager: Inference worker stopped
+2026-05-14 15:34:04.239 [INFO   ] app.inference.worker_manager: Inference worker started (pid=6551, model=/Users/rafalkaczka/Repos/duck-preview/models/best_v1.pt)
+2026-05-14 15:34:04.241 [DEBUG  ] app.inference.worker_manager: InferenceManager: resumed
+2026-05-14 15:34:04.242 [DEBUG  ] app.pipeline.frame_dispatcher: Subscriber added: <bound method InferenceManager.submit_frame of <app.inference.worker_manager.InferenceManager(0x7f7f24149f40) at 0x203728880>> (drop_if_busy=True)
+2026-05-14 15:34:04.243 [INFO   ] app.ui.main_window: Inference enabled
+2026-05-14 15:34:04.244 [DEBUG  ] app.inference.worker_manager: InferenceManager: paused
+2026-05-14 15:34:04.244 [DEBUG  ] app.pipeline.frame_dispatcher: Subscriber not found for removal: <bound method InferenceManager.submit_frame of <app.inference.worker_manager.InferenceManager(0x7f7f24149f40) at 0x203728880>>
+2026-05-14 15:34:04.245 [INFO   ] app.ui.main_window: Inference disabled
+2026-05-14 15:34:10.027 [INFO   ] app.inference.worker_manager: Inference device: cpu
+2026-05-14 15:34:17.008 [DEBUG  ] app.ui.menu_bar: Format selected: 1920x1080 @ 30 fps (NV12)
+2026-05-14 15:34:17.008 [INFO   ] app.ui.main_window: Format selected via menu: 1920x1080 @ 30 fps (NV12)
+2026-05-14 15:34:17.009 [INFO   ] app.camera.camera_service: Format change: 1920x1080 @ 30 fps (NV12) — restarting camera
+2026-05-14 15:34:17.056 [INFO   ] app.camera.camera_service: Camera inactive
+2026-05-14 15:34:17.057 [DEBUG  ] app.camera.camera_service: Camera stopped (internal)
+2026-05-14 15:34:17.082 [INFO   ] app.camera.camera_service: Camera format requested: NV12 1920x1080 @ 30 fps
+2026-05-14 15:34:17.152 [INFO   ] app.camera.camera_service: Camera active: HD USB CAMERA
+2026-05-14 15:34:17.152 [INFO   ] app.camera.camera_service: Camera format ACTUAL: NV12 1920x1080 @ 30 fps
+2026-05-14 15:34:17.152 [INFO   ] app.ui.main_window: Camera streaming: HD USB CAMERA
+2026-05-14 15:34:17.152 [INFO   ] app.camera.camera_service: Camera start requested: HD USB CAMERA
+2026-05-14 15:34:27.626 [DEBUG  ] app.ui.menu_bar: Format selected: 1280x720 @ 30 fps (NV12)
+2026-05-14 15:34:27.626 [INFO   ] app.ui.main_window: Format selected via menu: 1280x720 @ 30 fps (NV12)
+2026-05-14 15:34:27.627 [INFO   ] app.camera.camera_service: Format change: 1280x720 @ 30 fps (NV12) — restarting camera
+2026-05-14 15:34:27.657 [INFO   ] app.camera.camera_service: Camera inactive
+2026-05-14 15:34:27.658 [DEBUG  ] app.camera.camera_service: Camera stopped (internal)
+2026-05-14 15:34:27.689 [INFO   ] app.camera.camera_service: Camera format requested: NV12 1280x720 @ 30 fps
+2026-05-14 15:34:27.771 [INFO   ] app.camera.camera_service: Camera active: HD USB CAMERA
+2026-05-14 15:34:27.771 [INFO   ] app.camera.camera_service: Camera format ACTUAL: NV12 1280x720 @ 30 fps
+2026-05-14 15:34:27.772 [INFO   ] app.ui.main_window: Camera streaming: HD USB CAMERA
+2026-05-14 15:34:27.772 [INFO   ] app.camera.camera_service: Camera start requested: HD USB CAMERA
+2026-05-14 15:34:32.403 [DEBUG  ] app.ui.menu_bar: Format selected: 1920x1080 @ 30 fps (NV12)
+2026-05-14 15:34:32.403 [INFO   ] app.ui.main_window: Format selected via menu: 1920x1080 @ 30 fps (NV12)
+2026-05-14 15:34:32.403 [INFO   ] app.camera.camera_service: Format change: 1920x1080 @ 30 fps (NV12) — restarting camera
+2026-05-14 15:34:32.452 [INFO   ] app.camera.camera_service: Camera inactive
+2026-05-14 15:34:32.453 [DEBUG  ] app.camera.camera_service: Camera stopped (internal)
+2026-05-14 15:34:32.479 [INFO   ] app.camera.camera_service: Camera format requested: NV12 1920x1080 @ 30 fps
+2026-05-14 15:34:32.545 [INFO   ] app.camera.camera_service: Camera active: HD USB CAMERA
+2026-05-14 15:34:32.545 [INFO   ] app.camera.camera_service: Camera format ACTUAL: NV12 1920x1080 @ 30 fps
+2026-05-14 15:34:32.545 [INFO   ] app.ui.main_window: Camera streaming: HD USB CAMERA
+2026-05-14 15:34:32.545 [INFO   ] app.camera.camera_service: Camera start requested: HD USB CAMERA
+2026-05-14 15:34:43.662 [DEBUG  ] app.ui.menu_bar: Format selected: 1600x1200 @ 30 fps (NV12)
+2026-05-14 15:34:43.662 [INFO   ] app.ui.main_window: Format selected via menu: 1600x1200 @ 30 fps (NV12)
+2026-05-14 15:34:43.662 [INFO   ] app.camera.camera_service: Format change: 1600x1200 @ 30 fps (NV12) — restarting camera
+2026-05-14 15:34:43.691 [INFO   ] app.camera.camera_service: Camera inactive
+2026-05-14 15:34:43.692 [DEBUG  ] app.camera.camera_service: Camera stopped (internal)
+2026-05-14 15:34:43.719 [INFO   ] app.camera.camera_service: Camera format requested: NV12 1600x1200 @ 30 fps
+2026-05-14 15:34:43.803 [INFO   ] app.camera.camera_service: Camera active: HD USB CAMERA
+2026-05-14 15:34:43.803 [INFO   ] app.camera.camera_service: Camera format ACTUAL: NV12 1600x1200 @ 30 fps
+2026-05-14 15:34:43.803 [INFO   ] app.ui.main_window: Camera streaming: HD USB CAMERA
+2026-05-14 15:34:43.803 [INFO   ] app.camera.camera_service: Camera start requested: HD USB CAMERA
+2026-05-14 15:34:48.524 [DEBUG  ] app.ui.menu_bar: Format selected: 1920x1080 @ 30 fps (NV12)
+2026-05-14 15:34:48.525 [INFO   ] app.ui.main_window: Format selected via menu: 1920x1080 @ 30 fps (NV12)
+2026-05-14 15:34:48.525 [INFO   ] app.camera.camera_service: Format change: 1920x1080 @ 30 fps (NV12) — restarting camera
+2026-05-14 15:34:48.575 [INFO   ] app.camera.camera_service: Camera inactive
+2026-05-14 15:34:48.576 [DEBUG  ] app.camera.camera_service: Camera stopped (internal)
+2026-05-14 15:34:48.602 [INFO   ] app.camera.camera_service: Camera format requested: NV12 1920x1080 @ 30 fps
+2026-05-14 15:34:48.682 [INFO   ] app.camera.camera_service: Camera active: HD USB CAMERA
+2026-05-14 15:34:48.682 [INFO   ] app.camera.camera_service: Camera format ACTUAL: NV12 1920x1080 @ 30 fps
+2026-05-14 15:34:48.682 [INFO   ] app.ui.main_window: Camera streaming: HD USB CAMERA
+2026-05-14 15:34:48.682 [INFO   ] app.camera.camera_service: Camera start requested: HD USB CAMERA
+2026-05-14 15:35:17.684 [DEBUG  ] app.inference.worker_manager: InferenceManager: resumed
+2026-05-14 15:35:17.684 [DEBUG  ] app.pipeline.frame_dispatcher: Subscriber added: <bound method InferenceManager.submit_frame of <app.inference.worker_manager.InferenceManager(0x7f7f24149f40) at 0x203728880>> (drop_if_busy=True)
+2026-05-14 15:35:17.684 [INFO   ] app.ui.main_window: Inference enabled
+2026-05-14 15:35:59.079 [INFO   ] app.inference.worker_manager: frame 146: 1 detection(s) in 164.0 ms — etykieta 0.27
+2026-05-14 15:35:59.679 [INFO   ] app.inference.worker_manager: frame 148: 1 detection(s) in 178.9 ms — etykieta 0.40
+2026-05-14 15:35:59.980 [INFO   ] app.inference.worker_manager: frame 149: 1 detection(s) in 176.6 ms — etykieta 0.45
+2026-05-14 15:36:00.329 [INFO   ] app.inference.worker_manager: frame 150: 1 detection(s) in 217.8 ms — etykieta 0.49
+2026-05-14 15:36:00.635 [INFO   ] app.inference.worker_manager: frame 151: 1 detection(s) in 173.4 ms — etykieta 0.47
+2026-05-14 15:36:00.930 [INFO   ] app.inference.worker_manager: frame 152: 1 detection(s) in 170.3 ms — etykieta 0.49
+2026-05-14 15:36:01.229 [INFO   ] app.inference.worker_manager: frame 153: 1 detection(s) in 178.0 ms — etykieta 0.46
+2026-05-14 15:36:01.530 [INFO   ] app.inference.worker_manager: frame 154: 1 detection(s) in 174.2 ms — etykieta 0.51
+2026-05-14 15:36:01.790 [INFO   ] app.inference.worker_manager: frame 155: 1 detection(s) in 173.2 ms — etykieta 0.54
+2026-05-14 15:36:02.088 [INFO   ] app.inference.worker_manager: frame 156: 1 detection(s) in 181.4 ms — etykieta 0.51
+2026-05-14 15:36:02.387 [INFO   ] app.inference.worker_manager: frame 157: 1 detection(s) in 170.7 ms — etykieta 0.50
+2026-05-14 15:36:02.679 [INFO   ] app.inference.worker_manager: frame 158: 1 detection(s) in 174.2 ms — etykieta 0.48
+2026-05-14 15:36:02.980 [INFO   ] app.inference.worker_manager: frame 159: 1 detection(s) in 179.4 ms — etykieta 0.47
+2026-05-14 15:36:03.280 [INFO   ] app.inference.worker_manager: frame 160: 1 detection(s) in 178.4 ms — etykieta 0.33
+2026-05-14 15:36:03.579 [INFO   ] app.inference.worker_manager: frame 161: 1 detection(s) in 172.8 ms — etykieta 0.38
+2026-05-14 15:36:03.879 [INFO   ] app.inference.worker_manager: frame 162: 1 detection(s) in 180.2 ms — etykieta 0.38
+2026-05-14 15:36:04.179 [INFO   ] app.inference.worker_manager: frame 163: 1 detection(s) in 174.0 ms — etykieta 0.40
+2026-05-14 15:36:04.429 [INFO   ] app.inference.worker_manager: frame 164: 1 detection(s) in 172.3 ms — etykieta 0.39
+2026-05-14 15:36:04.730 [INFO   ] app.inference.worker_manager: frame 165: 1 detection(s) in 172.8 ms — etykieta 0.37
+2026-05-14 15:36:04.991 [INFO   ] app.inference.worker_manager: frame 166: 1 detection(s) in 169.6 ms — etykieta 0.36
+2026-05-14 15:36:05.346 [INFO   ] app.inference.worker_manager: frame 167: 1 detection(s) in 213.3 ms — etykieta 0.38
+2026-05-14 15:36:05.652 [INFO   ] app.inference.worker_manager: frame 168: 1 detection(s) in 183.4 ms — etykieta 0.37
+2026-05-14 15:36:05.981 [INFO   ] app.inference.worker_manager: frame 169: 1 detection(s) in 169.8 ms — etykieta 0.38
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+2026-05-14 15:36:06.580 [INFO   ] app.inference.worker_manager: frame 171: 1 detection(s) in 181.4 ms — etykieta 0.37
+2026-05-14 15:36:06.843 [INFO   ] app.inference.worker_manager: frame 172: 1 detection(s) in 172.3 ms — etykieta 0.41
+2026-05-14 15:36:07.132 [INFO   ] app.inference.worker_manager: frame 173: 1 detection(s) in 179.4 ms — etykieta 0.48
+2026-05-14 15:36:07.438 [INFO   ] app.inference.worker_manager: frame 174: 1 detection(s) in 196.4 ms — etykieta 0.48
+2026-05-14 15:36:07.782 [INFO   ] app.inference.worker_manager: frame 175: 1 detection(s) in 192.5 ms — etykieta 0.46
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+2026-05-14 15:40:00.287 [INFO   ] app.inference.worker_manager: frame 1003: 1 detection(s) in 123.7 ms — etykieta 0.36
+2026-05-14 15:40:00.637 [INFO   ] app.inference.worker_manager: frame 1004: 1 detection(s) in 165.0 ms — etykieta 0.35
+2026-05-14 15:40:00.887 [INFO   ] app.inference.worker_manager: frame 1005: 1 detection(s) in 115.1 ms — etykieta 0.36
+2026-05-14 15:40:01.236 [INFO   ] app.inference.worker_manager: frame 1006: 1 detection(s) in 111.4 ms — etykieta 0.35
+2026-05-14 15:40:01.586 [INFO   ] app.inference.worker_manager: frame 1007: 1 detection(s) in 137.4 ms — etykieta 0.36
+2026-05-14 15:40:01.998 [INFO   ] app.inference.worker_manager: frame 1008: 1 detection(s) in 141.6 ms — etykieta 0.34
+2026-05-14 15:40:02.236 [INFO   ] app.inference.worker_manager: frame 1009: 1 detection(s) in 123.8 ms — etykieta 0.34
+2026-05-14 15:40:02.537 [INFO   ] app.inference.worker_manager: frame 1010: 1 detection(s) in 137.8 ms — etykieta 0.35
+2026-05-14 15:40:02.886 [INFO   ] app.inference.worker_manager: frame 1011: 1 detection(s) in 124.3 ms — etykieta 0.35
+2026-05-14 15:40:03.287 [INFO   ] app.inference.worker_manager: frame 1012: 1 detection(s) in 124.0 ms — etykieta 0.36
+2026-05-14 15:40:03.537 [INFO   ] app.inference.worker_manager: frame 1013: 1 detection(s) in 123.9 ms — etykieta 0.35
+2026-05-14 15:40:03.887 [INFO   ] app.inference.worker_manager: frame 1014: 1 detection(s) in 123.9 ms — etykieta 0.35
+2026-05-14 15:40:04.148 [INFO   ] app.inference.worker_manager: frame 1015: 1 detection(s) in 124.5 ms — etykieta 0.35
+2026-05-14 15:40:04.437 [INFO   ] app.inference.worker_manager: frame 1016: 1 detection(s) in 131.0 ms — etykieta 0.35
+2026-05-14 15:40:04.737 [INFO   ] app.inference.worker_manager: frame 1017: 1 detection(s) in 109.1 ms — etykieta 0.36
+2026-05-14 15:40:04.988 [INFO   ] app.inference.worker_manager: frame 1018: 1 detection(s) in 149.9 ms — etykieta 0.36
+2026-05-14 15:40:05.238 [INFO   ] app.inference.worker_manager: frame 1019: 1 detection(s) in 131.2 ms — etykieta 0.35
+2026-05-14 15:40:05.487 [INFO   ] app.inference.worker_manager: frame 1020: 1 detection(s) in 137.8 ms — etykieta 0.35
+2026-05-14 15:40:05.836 [INFO   ] app.inference.worker_manager: frame 1021: 1 detection(s) in 168.0 ms — etykieta 0.35
+2026-05-14 15:40:06.087 [INFO   ] app.inference.worker_manager: frame 1022: 1 detection(s) in 117.7 ms — etykieta 0.36
+2026-05-14 15:40:06.388 [INFO   ] app.inference.worker_manager: frame 1023: 1 detection(s) in 110.6 ms — etykieta 0.35
+2026-05-14 15:40:06.751 [INFO   ] app.inference.worker_manager: frame 1024: 1 detection(s) in 111.1 ms — etykieta 0.36
+2026-05-14 15:40:06.987 [INFO   ] app.inference.worker_manager: frame 1025: 1 detection(s) in 111.2 ms — etykieta 0.35
+2026-05-14 15:40:07.288 [INFO   ] app.inference.worker_manager: frame 1026: 1 detection(s) in 131.4 ms — etykieta 0.35
+2026-05-14 15:40:07.588 [INFO   ] app.inference.worker_manager: frame 1027: 1 detection(s) in 124.3 ms — etykieta 0.35
+2026-05-14 15:40:07.987 [INFO   ] app.inference.worker_manager: frame 1028: 1 detection(s) in 127.7 ms — etykieta 0.36
+2026-05-14 15:40:08.237 [INFO   ] app.inference.worker_manager: frame 1029: 1 detection(s) in 128.4 ms — etykieta 0.34
+2026-05-14 15:40:08.488 [INFO   ] app.inference.worker_manager: frame 1030: 1 detection(s) in 125.1 ms — etykieta 0.35
+2026-05-14 15:40:08.787 [INFO   ] app.inference.worker_manager: frame 1031: 1 detection(s) in 138.6 ms — etykieta 0.35
+2026-05-14 15:40:09.087 [INFO   ] app.inference.worker_manager: frame 1032: 1 detection(s) in 149.5 ms — etykieta 0.36
+2026-05-14 15:40:09.337 [INFO   ] app.inference.worker_manager: frame 1033: 1 detection(s) in 136.1 ms — etykieta 0.35
+2026-05-14 15:40:09.637 [INFO   ] app.inference.worker_manager: frame 1034: 1 detection(s) in 126.1 ms — etykieta 0.35
+2026-05-14 15:40:09.937 [INFO   ] app.inference.worker_manager: frame 1035: 1 detection(s) in 122.9 ms — etykieta 0.36
+2026-05-14 15:40:10.192 [INFO   ] app.inference.worker_manager: frame 1036: 1 detection(s) in 146.5 ms — etykieta 0.35
+2026-05-14 15:40:10.443 [INFO   ] app.inference.worker_manager: frame 1037: 1 detection(s) in 129.1 ms — etykieta 0.35
+2026-05-14 15:40:10.687 [INFO   ] app.inference.worker_manager: frame 1038: 1 detection(s) in 132.8 ms — etykieta 0.34
+2026-05-14 15:40:10.988 [INFO   ] app.inference.worker_manager: frame 1039: 1 detection(s) in 110.2 ms — etykieta 0.36
+2026-05-14 15:40:11.238 [INFO   ] app.inference.worker_manager: frame 1040: 1 detection(s) in 156.5 ms — etykieta 0.36
+2026-05-14 15:40:11.587 [INFO   ] app.inference.worker_manager: frame 1041: 1 detection(s) in 129.6 ms — etykieta 0.36
+2026-05-14 15:40:11.906 [INFO   ] app.inference.worker_manager: frame 1042: 1 detection(s) in 138.4 ms — etykieta 0.35
+2026-05-14 15:40:12.237 [INFO   ] app.inference.worker_manager: frame 1043: 1 detection(s) in 130.7 ms — etykieta 0.35
+2026-05-14 15:40:12.537 [INFO   ] app.inference.worker_manager: frame 1044: 1 detection(s) in 124.4 ms — etykieta 0.36
+2026-05-14 15:40:12.787 [INFO   ] app.inference.worker_manager: frame 1045: 1 detection(s) in 133.4 ms — etykieta 0.36
+2026-05-14 15:40:13.038 [INFO   ] app.inference.worker_manager: frame 1046: 1 detection(s) in 124.5 ms — etykieta 0.35
+2026-05-14 15:40:13.488 [INFO   ] app.inference.worker_manager: frame 1047: 1 detection(s) in 122.1 ms — etykieta 0.36
+2026-05-14 15:40:13.838 [INFO   ] app.inference.worker_manager: frame 1048: 1 detection(s) in 134.4 ms — etykieta 0.36
+2026-05-14 15:40:14.088 [INFO   ] app.inference.worker_manager: frame 1049: 1 detection(s) in 132.8 ms — etykieta 0.36
+2026-05-14 15:40:14.687 [INFO   ] app.inference.worker_manager: frame 1051: 1 detection(s) in 147.8 ms — etykieta 0.28
+2026-05-14 15:40:14.937 [INFO   ] app.inference.worker_manager: frame 1052: 1 detection(s) in 127.2 ms — etykieta 0.34
+2026-05-14 15:40:15.187 [INFO   ] app.inference.worker_manager: frame 1053: 1 detection(s) in 108.0 ms — etykieta 0.34
+2026-05-14 15:40:15.541 [INFO   ] app.inference.worker_manager: frame 1054: 1 detection(s) in 175.0 ms — etykieta 0.37
+2026-05-14 15:40:15.792 [INFO   ] app.inference.worker_manager: frame 1055: 1 detection(s) in 114.8 ms — etykieta 0.35
+2026-05-14 15:40:16.238 [INFO   ] app.inference.worker_manager: frame 1056: 1 detection(s) in 136.5 ms — etykieta 0.35
+2026-05-14 15:40:16.587 [INFO   ] app.inference.worker_manager: frame 1057: 1 detection(s) in 128.7 ms — etykieta 0.34
+2026-05-14 15:40:16.838 [INFO   ] app.inference.worker_manager: frame 1058: 1 detection(s) in 135.7 ms — etykieta 0.31
+2026-05-14 15:40:17.149 [INFO   ] app.inference.worker_manager: frame 1059: 1 detection(s) in 139.1 ms — etykieta 0.32
+2026-05-14 15:40:17.438 [INFO   ] app.inference.worker_manager: frame 1060: 1 detection(s) in 124.6 ms — etykieta 0.35
+2026-05-14 15:40:17.687 [INFO   ] app.inference.worker_manager: frame 1061: 1 detection(s) in 137.5 ms — etykieta 0.35
+2026-05-14 15:40:17.937 [INFO   ] app.inference.worker_manager: frame 1062: 1 detection(s) in 131.9 ms — etykieta 0.34
+2026-05-14 15:40:18.337 [INFO   ] app.inference.worker_manager: frame 1063: 1 detection(s) in 121.1 ms — etykieta 0.33
+2026-05-14 15:41:00.160 [DEBUG  ] app.inference.worker_manager: InferenceManager: paused
+2026-05-14 15:41:00.160 [DEBUG  ] app.pipeline.frame_dispatcher: Subscriber not found for removal: <bound method InferenceManager.submit_frame of <app.inference.worker_manager.InferenceManager(0x7f7f24149f40) at 0x203728880>>
+2026-05-14 15:41:00.160 [INFO   ] app.ui.main_window: Inference disabled
+2026-05-14 15:41:25.791 [DEBUG  ] app.ui.menu_bar: Format selected: 1280x720 @ 30 fps (NV12)
+2026-05-14 15:41:25.792 [INFO   ] app.ui.main_window: Format selected via menu: 1280x720 @ 30 fps (NV12)
+2026-05-14 15:41:25.792 [INFO   ] app.camera.camera_service: Format change: 1280x720 @ 30 fps (NV12) — restarting camera
+2026-05-14 15:41:25.842 [INFO   ] app.camera.camera_service: Camera inactive
+2026-05-14 15:41:25.842 [DEBUG  ] app.camera.camera_service: Camera stopped (internal)
+2026-05-14 15:41:25.872 [INFO   ] app.camera.camera_service: Camera format requested: NV12 1280x720 @ 30 fps
+2026-05-14 15:41:25.949 [INFO   ] app.camera.camera_service: Camera active: HD USB CAMERA
+2026-05-14 15:41:25.950 [INFO   ] app.camera.camera_service: Camera format ACTUAL: NV12 1280x720 @ 30 fps
+2026-05-14 15:41:25.950 [INFO   ] app.ui.main_window: Camera streaming: HD USB CAMERA
+2026-05-14 15:41:25.950 [INFO   ] app.camera.camera_service: Camera start requested: HD USB CAMERA
+2026-05-14 15:41:37.990 [DEBUG  ] app.ui.menu_bar: Format selected: 1600x1200 @ 30 fps (NV12)
+2026-05-14 15:41:37.990 [INFO   ] app.ui.main_window: Format selected via menu: 1600x1200 @ 30 fps (NV12)
+2026-05-14 15:41:37.990 [INFO   ] app.camera.camera_service: Format change: 1600x1200 @ 30 fps (NV12) — restarting camera
+2026-05-14 15:41:38.035 [INFO   ] app.camera.camera_service: Camera inactive
+2026-05-14 15:41:38.036 [DEBUG  ] app.camera.camera_service: Camera stopped (internal)
+2026-05-14 15:41:38.063 [INFO   ] app.camera.camera_service: Camera format requested: NV12 1600x1200 @ 30 fps
+2026-05-14 15:41:38.144 [INFO   ] app.camera.camera_service: Camera active: HD USB CAMERA
+2026-05-14 15:41:38.144 [INFO   ] app.camera.camera_service: Camera format ACTUAL: NV12 1600x1200 @ 30 fps
+2026-05-14 15:41:38.144 [INFO   ] app.ui.main_window: Camera streaming: HD USB CAMERA
+2026-05-14 15:41:38.144 [INFO   ] app.camera.camera_service: Camera start requested: HD USB CAMERA
+2026-05-14 15:41:52.964 [INFO   ] app.inference.worker_manager: Inference worker stopped
+2026-05-14 15:41:53.017 [INFO   ] app.camera.camera_service: Camera inactive
+2026-05-14 15:41:53.017 [DEBUG  ] app.camera.camera_service: Camera stopped (internal)
+2026-05-14 15:41:53.017 [INFO   ] app.ui.main_window: CSV telemetry: 91 rows written

models/.gitkeep

@@ -0,0 +1 @@
+

notes/01-mvp-plan.md

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+# Plan działania — MVP Camera Preview (PySide6)
+
+## Środowisko
+
+| Element | Wartość |
+|---|---|
+| Python | 3.12.10 (venv: `.venv-win`) |
+| Framework GUI | PySide6 6.11.0 |
+| Dev platform | Windows 11 |
+| Target platform | Mac Mini (Intel i7, macOS Ventura) |
+| Kamera docelowa | ELP USB Camera |
+| Narzędzia | pytest, ruff, colorama |
+
+---
+
+## Fazy realizacji
+
+### Faza 0 — Projekt i scaffolding
+
+Cel: ustalenie struktury katalogów i modułów przed napisaniem pierwszej linii logiki.
+
+#### 0.1 Struktura projektu
+
+```
+duck-preview2/
+├── app/
+│   ├── __init__.py
+│   ├── main.py                  # entry point
+│   ├── config.py                # stałe, domyślne ustawienia
+│   ├── camera/
+│   │   ├── __init__.py
+│   │   ├── camera_service.py    # QCamera + QMediaCaptureSession
+│   │   └── camera_enumerator.py # wykrywanie dostępnych kamer
+│   ├── pipeline/
+│   │   ├── __init__.py
+│   │   └── frame_dispatcher.py  # dystrybucja klatek do subskrybentów
+│   ├── telemetry/
+│   │   ├── __init__.py
+│   │   └── telemetry_collector.py # zbieranie metryk FPS/frame time/CPU
+│   ├── overlay/
+│   │   ├── __init__.py
+│   │   └── overlay_widget.py    # przezroczysta warstwa QWidget
+│   └── ui/
+│       ├── __init__.py
+│       ├── main_window.py       # główne okno aplikacji
+│       └── menu_bar.py          # menu: kamera, rozdzielczość, FPS, debug
+├── tests/
+│   ├── __init__.py
+│   ├── test_camera_enumerator.py
+│   └── test_telemetry_collector.py
+├── notes/
+├── requirements.txt
+├── requirements-dev.txt
+└── pyproject.toml               # konfiguracja ruff + pytest
+```
+
+#### 0.2 Pliki konfiguracyjne
+
+- `pyproject.toml` — konfiguracja ruff (linter/formatter) i pytest
+- `requirements.txt` — zależności produkcyjne (PySide6)
+- `requirements-dev.txt` — zależności deweloperskie (pytest, ruff)
+- `.gitignore` — aktualizacja o artefakty Pythona
+
+---
+
+### Faza 1 — Camera Service
+
+Cel: stabilne pobranie obrazu z kamery przez QtMultimedia.
+
+#### 1.1 Camera Enumerator
+
+- `QMediaDevices.videoInputs()` — lista dostępnych kamer
+- Zwraca listę `QCameraDevice` z nazwą, id i obsługiwanymi formatami
+- Obsługa braku kamer (komunikat, nie crash)
+- Test jednostkowy: mockowanie `QMediaDevices`
+
+#### 1.2 Camera Service
+
+- Opakowuje `QCamera` + `QMediaCaptureSession`
+- API:
+  - `start(device: QCameraDevice)` — uruchamia kamerę
+  - `stop()` — zatrzymuje kamerę
+  - `set_resolution(width, height)` — ustawia format
+  - `set_fps(fps)` — ustawia docelowy FPS
+  - `reconnect()` — restart po błędzie
+- `QVideoSink` jako punkt odbioru klatek
+- Sygnał `frame_ready(QVideoFrame)` do Frame Dispatcher
+- Obsługa błędów kamery (`QCamera.errorOccurred`)
+
+#### 1.3 Uwagi platformowe
+
+| Aspekt | Windows 11 (dev) | macOS Ventura (target) |
+|---|---|---|
+| Backend | DirectShow / Media Foundation | AVFoundation |
+| Kamera ELP | USB, standardowy UVC driver | USB, UVC |
+| Format klatek | YUYV / MJPEG | YUYV / MJPEG |
+| GPU rendering | ANGLE (OpenGL ES) | Metal |
+
+---
+
+### Faza 2 — Frame Dispatcher
+
+Cel: dystrybucja klatek do wielu odbiorców bez blokowania akwizycji.
+
+#### 2.1 Frame Dispatcher
+
+- Wzorzec: publish-subscribe (lista callbacków)
+- `subscribe(callback: Callable[[QVideoFrame], None])`
+- `unsubscribe(callback)`
+- `dispatch(frame: QVideoFrame)` — wywołuje wszystkich subskrybentów
+- Klatki NIE są kopiowane — subskrybenci działają na referencji
+- Subskrybenci mogą **pominąć klatkę** (tryb drop-if-busy)
+- Wywołanie `dispatch` następuje w wątku GUI (slot połączony z `frame_ready`)
+
+#### 2.2 Subskrybenci w Fazie 1
+
+| Subskrybent | Działanie |
+|---|---|
+| Video Renderer | przekazuje klatkę do `QVideoSink` / `QVideoWidget` |
+| Telemetry Collector | mierzy czas, zlicza klatki |
+
+---
+
+### Faza 3 — Video Renderer
+
+Cel: renderowanie klatki w GUI bez zbędnych kopii.
+
+#### 3.1 Podejście
+
+- `QVideoWidget` jako główny widget podglądu
+- `QMediaCaptureSession.setVideoOutput(QVideoWidget)` — ścieżka bezpośrednia, zero kopii
+- Alternatywnie: `QVideoSink` → `QGraphicsVideoItem` dla przyszłych overlayów
+- Domyślnie: `QVideoWidget` (prosta, niska latencja)
+
+#### 3.2 Wymagania
+
+- Preview nie blokuje wątku GUI
+- Obsługa aspect ratio (letter/pillarbox)
+- Resize okna bez migotania
+
+---
+
+### Faza 4 — Telemetry Collector
+
+Cel: dokładne metryki pipeline'u wideo.
+
+#### 4.1 Zbierane metryki
+
+| Metryka | Metoda pomiaru |
+|---|---|
+| Realtime FPS | licznik klatek / okno 1 s |
+| Frame time | `time.perf_counter()` między klatkami |
+| Frame acquisition time | timestamp wejście frame_ready → dispatch |
+| Rendering time | czas `QVideoWidget.update()` (opcjonalnie) |
+| Dropped frames | detekcja przez numerację lub timestamp gap |
+| CPU usage | `psutil.cpu_percent()` (dodać do requirements) |
+| Memory usage | `psutil.virtual_memory()` (opcjonalnie) |
+
+#### 4.2 API
+
+- `TelemetryCollector` — subskrybent Frame Dispatcher
+- `on_frame(frame: QVideoFrame)` — rejestruje timestamp klatki
+- `get_snapshot() -> TelemetrySnapshot` — aktualny stan metryk (dataclass)
+- `update_interval_ms: int` — jak często odświeżać snapshot (domyślnie 500 ms)
+- Sygnał `metrics_updated(TelemetrySnapshot)` — emitowany co `update_interval_ms`
+
+#### 4.3 TelemetrySnapshot (dataclass)
+
+```python
+@dataclass
+class TelemetrySnapshot:
+    fps: float
+    frame_time_ms: float
+    dropped_frames: int
+    cpu_percent: float
+    memory_mb: float | None
+    timestamp: float
+```
+
+---
+
+### Faza 5 — Overlay System
+
+Cel: wyświetlanie metryk na przezroczystej warstwie nad podglądem.
+
+#### 5.1 Architektura
+
+- `OverlayWidget(QWidget)` — przezroczysty widget (`WA_TransparentForMouseEvents`)
+- Pozycjonowany absolutnie nad `QVideoWidget` (ten sam parent, wyższy z-index)
+- `paintEvent` rysuje semi-przezroczysty prostokąt + tekst z metrykami
+- Połączony z sygnałem `metrics_updated` — odświeża tylko gdy dane się zmienią
+
+#### 5.2 Zawartość overlaya (MVP)
+
+```
+FPS:    60.0
+Frame:  16.7 ms
+Drop:   0
+CPU:    12.3 %
+```
+
+#### 5.3 Sterowalność
+
+- Widoczność overlaya: toggle przez menu Debug
+- Pozycja: lewy górny róg (stała w MVP)
+- Kolor tła: `rgba(0, 0, 0, 160)`
+
+---
+
+### Faza 6 — GUI / Main Window
+
+Cel: minimalne, funkcjonalne okno aplikacji.
+
+#### 6.1 MainWindow
+
+- `QMainWindow` z `QVideoWidget` jako central widget
+- `OverlayWidget` nałożony na video
+- Obsługa resize → reposition overlay
+- Tytuł okna: `Duck Preview`
+
+#### 6.2 MenuBar
+
+Menu **Camera**:
+- Lista wykrytych kamer (radio-style)
+- Separator
+- Reconnect
+
+Menu **Video**:
+- Resolution submenu (pobierane dynamicznie z `QCameraDevice.videoFormats()`)
+- FPS submenu
+
+Menu **Debug**:
+- Toggle overlay metryk
+- Logowanie do konsoli (toggle)
+
+#### 6.3 Startup flow
+
+```
+main.py
+  → QApplication
+  → CameraEnumerator.list_cameras()
+  → MainWindow(cameras)
+  → CameraService.start(cameras[0])  # pierwsza kamera lub ELP
+  → FrameDispatcher.subscribe(telemetry, renderer)
+  → app.exec()
+```
+
+---
+
+### Faza 7 — Testy i walidacja
+
+#### 7.1 Testy jednostkowe
+
+| Moduł | Co testować |
+|---|---|
+| `CameraEnumerator` | lista kamer, brak kamer, format danych |
+| `TelemetryCollector` | obliczenia FPS, wykrywanie dropów |
+| `FrameDispatcher` | subskrypcja, odsubskrypcja, dispatch |
+| `TelemetrySnapshot` | poprawność dataclass |
+
+#### 7.2 Testy manualne (Windows dev)
+
+- [ ] Uruchomienie z kamerą laptopa / USB webcam
+- [ ] Przełączanie kamer
+- [ ] Zmiana rozdzielczości
+- [ ] Zmiana FPS
+- [ ] Toggle overlay
+- [ ] Reconnect po odłączeniu kamery
+
+#### 7.3 Testy na Mac Mini (target)
+
+- [ ] Wykrycie kamery ELP
+- [ ] Poprawny format YUYV/MJPEG
+- [ ] Wydajność AVFoundation vs DirectShow
+- [ ] GPU rendering przez Metal
+
+#### 7.4 Kryteria sukcesu (z PRD)
+
+- Preview stabilny i płynny
+- Latencja renderowania niska
+- Dane telemetrii dokładne
+- GUI responsywne
+- Overlay działa poprawnie
+- Architektura gotowa na subskrybentów AI
+
+---
+
+## Kolejność implementacji (sprint order)
+
+```
+Sprint 1:  Faza 0  — scaffolding, pyproject.toml, requirements
+Sprint 2:  Faza 1  — CameraEnumerator + CameraService (bez GUI)
+Sprint 3:  Faza 3  — VideoRenderer + MainWindow (preview działa)
+Sprint 4:  Faza 2  — FrameDispatcher (refactor pipeline)
+Sprint 5:  Faza 4  — TelemetryCollector
+Sprint 6:  Faza 5  — OverlayWidget
+Sprint 7:  Faza 6  — MenuBar (camera/resolution/fps switch)
+Sprint 8:  Faza 7  — Testy, poprawki, walidacja na Mac Mini
+```
+
+---
+
+## Zależności do dodania
+
+```
+# requirements.txt
+PySide6>=6.7
+psutil>=6.0
+
+# requirements-dev.txt
+pytest>=8.0
+ruff>=0.4
+```
+
+---
+
+## Uwagi cross-platform
+
+1. **ELP camera** — kamera UVC, powinna działać bez dodatkowych sterowników na obu platformach. Sprawdzić obsługiwane rozdzielczości i FPS przez `QCameraDevice.videoFormats()`.
+2. **Ścieżki absolutne** — unikać `os.path` na korzyść `pathlib.Path`.
+3. **Threading** — wszystkie operacje Qt muszą odbywać się w wątku GUI. `TelemetryCollector` może używać `QTimer` zamiast osobnego wątku.
+4. **Format klatek** — na macOS AVFoundation preferuje `BGRA` lub `NV12`. Konwersja powinna być leniwa i tylko gdy potrzebna (nie w hot path renderowania).
+5. **High DPI** — włączyć `QApplication.setHighDpiScaleFactorRoundingPolicy` dla konsistencji Windows/Mac.
+6. **Testowanie bez kamery** — `CameraEnumerator` powinien umożliwiać dependency injection / mock dla środowisk CI.

notes/01-mvp-preview.md

@@ -253,6 +253,7 @@ Architecture must support future additions:
 * snapshots,
 * streaming,
 * remote sinks.
+* play video files
 
 Without major redesign.
 

notes/02-mvp-app.md

@@ -0,0 +1,194 @@
+# Stan aplikacji — MVP Camera Preview
+
+Data: 2026-05-12
+Środowisko dev: Windows 11, Python 3.12.10, PySide6 6.11.0
+Środowisko docelowe: Mac Mini (Intel i7, macOS Ventura), kamera ELP USB
+
+---
+
+## Zaimplementowane moduły
+
+### Struktura projektu
+
+```
+duck-preview2/
+├── app/
+│   ├── config.py                        # stałe i domyślne ustawienia
+│   ├── main.py                          # entry point (python -m app.main)
+│   ├── camera/
+│   │   ├── camera_enumerator.py         # wykrywanie kamer przez QMediaDevices
+│   │   └── camera_service.py            # zarządzanie QCamera + QMediaCaptureSession
+│   ├── pipeline/
+│   │   └── frame_dispatcher.py          # pub/sub dystrybucja QVideoFrame
+│   ├── telemetry/
+│   │   └── telemetry_collector.py       # pomiar FPS, frame time, CPU, pamięci
+│   ├── overlay/
+│   │   ├── overlay_layer.py             # interfejs IOverlayLayer (ABC)
+│   │   └── telemetry_overlay.py         # implementacja — box z metrykami
+│   └── ui/
+│       ├── camera_view.py               # CameraView — render + kompozycja overlayów
+│       ├── main_window.py               # główne okno, wiring komponentów
+│       └── menu_bar.py                  # menu: Camera / Video / Debug
+├── tests/
+│   ├── test_frame_dispatcher.py         # 8 testów jednostkowych
+│   └── test_telemetry_collector.py      # 7 testów jednostkowych
+├── pyproject.toml                       # konfiguracja pytest + ruff
+├── requirements.txt                     # PySide6, psutil
+└── requirements-dev.txt                 # + pytest, ruff
+```
+
+### Opis komponentów
+
+#### CameraEnumerator (`app/camera/camera_enumerator.py`)
+- Wykrywa dostępne kamery przez `QMediaDevices.videoInputs()`
+- Zwraca listę `CameraInfo` z nazwą, id i listą obsługiwanych formatów (rozdzielczość × FPS)
+- Formaty deduplikowane i posortowane (największa rozdzielczość pierwsza)
+- Obsługa braku kamer bez crasha
+
+#### CameraService (`app/camera/camera_service.py`)
+- Opakowuje `QCamera` + `QMediaCaptureSession` + `QVideoSink`
+- API: `start(CameraInfo)`, `stop()`, `reconnect()`, `set_resolution()`, `set_fps()`
+- Algorytm doboru formatu: score-based (priorytet: dopasowanie rozdzielczości, potem FPS)
+- Sygnały: `frame_ready(QVideoFrame)`, `camera_started`, `camera_stopped`, `camera_error`
+
+#### FrameDispatcher (`app/pipeline/frame_dispatcher.py`)
+- Pub/sub: `subscribe(callback, drop_if_busy=True)` / `unsubscribe(callback)`
+- `drop_if_busy=True` — klatka pomijana jeśli subskrybent jest zajęty (render)
+- `drop_if_busy=False` — każda klatka dociera (telemetria)
+- Odporny na wyjątki w subskrybentach (jeden nie blokuje pozostałych)
+
+#### TelemetryCollector (`app/telemetry/telemetry_collector.py`)
+- Subskrybuje każdą klatkę (`drop_if_busy=False`)
+- Mierzy: FPS (okno 1 s), średni frame time (ring-buffer 120 próbek), dropped frames (heurystyka 2.5× avg)
+- CPU: `psutil.Process.cpu_percent()` — tylko nasz proces, inicjalizowany w `__init__` (warmup)
+- RAM: `memory_info().wset` (Windows private working set) lub `rss` (macOS/Linux)
+- Emituje `metrics_updated(TelemetrySnapshot)` co 500 ms przez `QTimer`
+
+#### IOverlayLayer (`app/overlay/overlay_layer.py`)
+- Abstrakcja (ABC) dla pluggable overlayów
+- Interface: `paint(painter: QPainter, video_rect: QRect)`, `visible: bool`, `name: str`
+- Nowe overlaye nie wymagają modyfikacji żadnego istniejącego kodu
+
+#### TelemetryOverlay (`app/overlay/telemetry_overlay.py`)
+- Implementacja `IOverlayLayer`
+- Rysuje semi-przezroczysty box z metrykami w lewym górnym rogu video
+- Slot `on_metrics_updated(TelemetrySnapshot)` — odbiera dane z TelemetryCollector
+- Format: FPS, Frame time, Drop count, CPU %, Mem MB
+
+#### CameraView (`app/ui/camera_view.py`)
+- Zwykły `QWidget` (nie `QVideoWidget`) — render przez `QPainter` w `paintEvent`
+- Odbiera `QVideoFrame` przez slot `on_frame()`, konwertuje do `QImage.Format_RGB32`
+- Letterboxing z zachowaniem aspect ratio
+- Rejestr overlayów: `add_overlay_layer()`, `remove_overlay_layer()`, `set_all_overlays_visible()`
+- W `paintEvent`: rysuje klatkę → iteruje po warstwach, każda dostaje `painter.save()/restore()`
+
+#### MainWindow (`app/ui/main_window.py`)
+- Wires together wszystkie komponenty
+- Minimalny status bar (nazwa kamery, błędy)
+- `closeEvent` → `CameraService.stop()`
+
+#### AppMenuBar (`app/ui/menu_bar.py`)
+- Menu **Camera**: lista wykrytych kamer (radio), Reconnect
+- Menu **Video**: Resolution submenu, FPS submenu (pobierane z `QCameraDevice.videoFormats()`)
+- Menu **Debug**: Show Overlay (toggle), Console Logging (toggle poziom logowania)
+
+---
+
+## Co działało na Windows 11 (dev)
+
+- Wykrycie wbudowanej kamery laptopa
+- Podgląd w czasie rzeczywistym
+- Przełączanie rozdzielczości i FPS z menu
+- Overlay z metrykami widoczny i aktualizowany
+- Toggle overlay przez Debug menu
+- Logowanie do konsoli przez Debug menu
+- Reconnect po zmianie kamery
+- Letterboxing przy resize okna
+
+---
+
+## Co próbowaliśmy i nie wyszło
+
+### QVideoWidget jako renderer (porzucone)
+
+**Podejście:** Użycie `QVideoWidget` jako centralnego widgetu + nałożenie `OverlayWidget` (child lub sibling).
+
+**Problem:** Na Windows `QVideoWidget` tworzy natywne okno HWND z powierzchnią D3D (Media Foundation backend). Natywna powierzchnia jest rysowana poza hierarchią Qt i zawsze przykrywa wszystkie `QWidget` — niezależnie od:
+- kolejności z-order (`raise_()`)
+- rodzica (child/sibling)
+- flag okna
+- `WA_TranslucentBackground` / `WA_NoSystemBackground`
+
+Żaden `QWidget` nie może się wyświetlić nad `QVideoWidget` na Windows.
+
+**Próby ratowania:**
+1. `OverlayWidget` jako child `QVideoWidget` — zasłonięty przez natywną powierzchnię
+2. Kontener `QWidget` z `QVideoWidget` i `OverlayWidget` jako rodzeństwo — nadal zasłonięty
+3. `setWindowFlags(FramelessWindowHint)` na child widget — odrywa widget od rodzica, tworzy osobne (niewidoczne) okno top-level
+
+**Rozwiązanie:** Porzucenie `QVideoWidget`. Własny `CameraView(QWidget)` odbiera klatki przez `QVideoSink`, konwertuje do `QImage` i rysuje przez `QPainter`. Overlay w tym samym `paintEvent` — brak konfliktu z natywnym renderowaniem.
+
+### OverlayWidget jako osobny QWidget (porzucone)
+
+**Podejście:** `OverlayWidget` z `WA_TransparentForMouseEvents` i `WA_TranslucentBackground` nałożony na video.
+
+**Problem:** Poza konfliktem z `QVideoWidget`, `WA_TranslucentBackground` na child widget działa tylko gdy rodzic też jest transparentny — Qt nie komponuje dziecka z tłem rodzica innym niż własne. W praktyce overlay był niewidoczny lub zasłaniał video czarnym prostokątem.
+
+---
+
+## Znane ograniczenia i uwagi
+
+### Pomiar CPU
+
+`psutil.Process.cpu_percent()` zwraca procent **względem jednego rdzenia** (np. 50% = pół rdzenia). Na wielordzeniowym procesorze 15% w Task Managerze (uśrednione po rdzeniach) może odpowiadać 50% na jednym rdzeniu. To nie jest błąd — to różna metodologia. Task Manager pokazuje `total_cpu / num_cores`, psutil pokazuje `cpu_time / wall_time`.
+
+Jeśli potrzebny jest widok "jak Task Manager": `process.cpu_percent() / psutil.cpu_count()`.
+
+### Pomiar RAM
+
+`memory_info().wset` (Windows) = Private Working Set = to co Task Manager pokazuje w kolumnie "Pamięć". RSS zawiera też współdzielone biblioteki (Qt DLLs ~40 MB) i dlatego było zawyżone. Na macOS używane jest `rss` (tam `wset` nie istnieje).
+
+### Wydajność konwersji klatek
+
+`QVideoFrame.toImage()` + `convertToFormat(RGB32)` wykonuje się na CPU. Przy 1080p60 to koszt ~1-3 ms/klatkę. Dla MVP akceptowalny. Przy przyszłej integracji YOLO warto rozważyć bezpośredni dostęp do danych przez `QVideoFrame.map()` i przekazywanie raw bufora do GPU.
+
+### Brak testów integracyjnych
+
+Testy jednostkowe pokrywają `FrameDispatcher` i `TelemetryCollector` w izolacji (bez Qt event loop). Brak testów `CameraView`, `CameraService` i `MainWindow` — wymagałyby `QApplication` i mockowania urządzeń.
+
+---
+
+## Stan zgodności z PRD (01-mvp-preview.md)
+
+| Wymaganie | Status |
+|---|---|
+| Realtime camera preview | Zaimplementowane |
+| Camera switching | Zaimplementowane |
+| Resolution selection | Zaimplementowane |
+| FPS selection | Zaimplementowane |
+| Reconnect/restart | Zaimplementowane |
+| Realtime FPS metric | Zaimplementowane |
+| Frame time metric | Zaimplementowane |
+| Dropped frames detection | Zaimplementowane (heurystyka) |
+| CPU usage metric | Zaimplementowane |
+| Memory usage metric | Zaimplementowane |
+| Overlay system | Zaimplementowane (IOverlayLayer) |
+| Performance metrics display | Zaimplementowane (TelemetryOverlay) |
+| Minimal GUI | Zaimplementowane |
+| Camera menu | Zaimplementowane |
+| Resolution/FPS menu | Zaimplementowane |
+| Debug/telemetry options | Zaimplementowane |
+| Architecture ready for AI subscribers | Zaimplementowane (IOverlayLayer + FrameDispatcher) |
+| Low latency preview | Zaimplementowane (drop-if-busy w dispatcher) |
+| Non-blocking GUI thread | Zaimplementowane |
+
+---
+
+## Następne kroki (poza MVP)
+
+- Walidacja na Mac Mini z kamerą ELP (AVFoundation backend, macOS Ventura)
+- Snapshot / recording
+- Integracja YOLO: `YoloBboxOverlay(IOverlayLayer)` + worker w osobnym procesie
+- Integracja OCR
+- Optymalizacja konwersji klatek (QVideoFrame.map() → numpy → GPU)
+- Testy integracyjne z QApplication + mock camera

notes/03-mvp-summary.md

@@ -0,0 +1,480 @@
+# Goal
+
+Zbudować aplikację do podglądu kamery w czasie rzeczywistym (PySide6) z telemetrią, overlayami i systemem logowania do pliku — docelowo na Mac Mini z kamerą ELP.
+
+---
+
+# Constraints & Preferences
+
+- Python 3.12.10, venv w `.venv-win`
+- Dev: Windows 11
+- Target: Mac Mini Intel i7, macOS Ventura, kamera ELP USB
+- `PySide6 6.11.0`, `psutil`, `pytest`, `ruff`
+- `QVideoWidget` porzucony — na Windows zasłania wszystkie child/sibling widgets przez natywny HWND D3D
+- Logi:
+  - `logs/` w katalogu projektu
+  - nowy plik z timestamp per sesja
+  - max 20 plików
+- CSV telemetrii:
+  - co 5 sekund
+  - `flush` po każdym wierszu
+- CPU:
+  - pokazywać oba:
+    - sys %
+    - per-core % (jak Task Manager)
+- Zmiana formatu kamery przez `stop+start`
+  - nie `setCameraFormat` na żywej kamerze
+
+---
+
+# Progress
+
+## Done
+
+### Faza 0–7 MVP
+
+- scaffolding
+- `CameraService`
+- `FrameDispatcher`
+- `TelemetryCollector`
+- `CameraView`
+- `TelemetryOverlay`
+- `IOverlayLayer`
+- `AppMenuBar`
+- `MainWindow`
+
+### Rendering
+
+- Usunięto `QVideoWidget`
+- `CameraView(QWidget)` z `paintEvent`
+  - render + overlay w jednym przejściu
+
+### Telemetria
+
+`TelemetrySnapshot` — pola:
+
+- `fps`
+- `target_fps`
+- `frame_time_ms`
+- `dropped_frames`
+- `cpu_percent_sys`
+- `cpu_percent_core`
+- `memory_mb`
+
+### Kamera
+
+- `CameraService.format_changed(float)` sygnał
+- `stop+start` przy:
+  - `set_resolution`
+  - `set_fps`
+
+### Logowanie
+
+- `_log_actual_format()`
+  - loguje rzeczywisty format po starcie kamery
+  - warning jeśli FPS się nie zgadza
+
+### CameraFormat
+
+`CameraFormat` dataclass z:
+
+```python
+pixel_format: str
+```
+
+Przykłady:
+
+- `MJPG`
+- `YUY2`
+- `NV12`
+
+w `camera_enumerator.py`
+
+### Logging
+
+`logging_setup.py`
+
+- `FileHandler`
+  - `DEBUG`
+  - zawsze aktywny
+- `StreamHandler`
+  - `WARNING`
+  - przełączalny
+- nagłówek sesji:
+  - wersja
+  - platforma
+  - Python
+  - PySide6
+  - CPU
+  - RAM
+- pruning starych logów
+
+### CSV
+
+`csv_logger.py`
+
+- `CsvTelemetryLogger`
+- throttling:
+  - 5 s
+- `flush` po każdym wierszu
+
+### Menu
+
+`menu_bar.py`
+
+- dostosowany do `CameraFormat`
+- `set_log_file_path()`
+- `set_console_level()`
+
+### Config
+
+`config.py`
+
+- `LOG_DIR`
+- `MAX_LOG_FILES`
+- `TELEMETRY_CSV_INTERVAL_S`
+
+### Main
+
+`main.py`
+
+- wywołuje `setup_logging()`
+- przekazuje `log_path` do `MainWindow`
+
+### Main Window
+
+`main_window.py`
+
+- przyjmuje:
+
+```python
+log_path: Path | None
+```
+
+- tworzy:
+
+```python
+CsvTelemetryLogger(log_path.with_suffix(".csv"))
+```
+
+- podpina do:
+  - `telemetry.metrics_updated`
+- wywołuje:
+  - `menu.set_log_file_path()`
+- `csv_logger.close()` w `closeEvent`
+
+### Repo
+
+`.gitignore`
+
+- dodano `logs/`
+
+### Testy i jakość
+
+- 20 testów jednostkowych
+  - wszystkie zielone
+- `ruff`
+  - czysty
+  - wszystkie błędy naprawione
+
+### Artefakty sesji
+
+Para plików per sesja:
+
+```text
+logs/duck-preview_<timestamp>.log
+logs/duck-preview_<timestamp>.csv
+```
+
+---
+
+## In Progress
+
+- (none)
+
+---
+
+## Blocked
+
+- (none)
+
+---
+
+# Key Decisions
+
+## Rendering
+
+### `QVideoWidget` → własny `CameraView(QWidget)`
+
+Jedyny skuteczny sposób obejścia problemu z natywnym HWND na Windows.
+
+## Overlay Architecture
+
+### `IOverlayLayer` ABC
+
+Pluggable overlaye bez modyfikacji `CameraView`.
+
+Gotowe pod:
+
+- YOLO
+- OCR
+- inne overlaye
+
+## Pipeline
+
+### `FrameDispatcher`
+
+Pub/sub z `drop_if_busy`:
+
+- render może gubić klatki
+- telemetria nigdy
+
+## CPU Metrics
+
+- CPU per-core (`psutil`)
+- dzielone przez `cpu_count`
+- wynik zgodny z Task Manager
+
+## Memory Metrics
+
+- `memory_info().wset` (Windows)
+- zamiast `rss`
+- odpowiada `Private Working Set`
+
+## Logging Strategy
+
+Dwa osobne pliki per sesja:
+
+- `.log` — diagnostyka
+- `.csv` — metryki szeregów czasowych
+
+## CameraFormat
+
+`CameraFormat` dataclass zamiast krotki:
+
+- niesie `pixel_format`
+- potrzebny w logach
+
+---
+
+# Next Steps
+
+1. Przetestować na Windows:
+   - czy logi powstają w `logs/`
+   - czy CSV zapisuje dane co ~5 s
+
+2. Przenieść na Mac Mini i przetestować z kamerą ELP:
+   - sprawdzić `pixel_format` w logu
+   - sprawdzić wykrycie backendu AVFoundation
+
+3. Zweryfikować overlay telemetrii na żywym obrazie
+
+4. (Opcjonalnie) dodać kolejne `IOverlayLayer`
+   - YOLO
+   - OCR
+
+---
+
+# Critical Context
+
+## Camera Enumerator
+
+`CameraEnumerator.list_cameras()` zwraca:
+
+```python
+list[CameraInfo]
+```
+
+gdzie:
+
+```python
+formats: list[CameraFormat]
+```
+
+`menu_bar.py` i `camera_service.py` iterują po:
+
+- `fmt.width`
+- `fmt.height`
+- `fmt.max_fps`
+
+---
+
+## CSV Logger
+
+Ścieżka CSV:
+
+```python
+log_path.with_suffix(".csv")
+```
+
+Powstaje para:
+
+- `.log`
+- `.csv`
+
+z tym samym timestamp.
+
+---
+
+## Console Logging
+
+```python
+logging_setup.set_console_level(debug: bool)
+```
+
+wywoływane z:
+
+```python
+menu_bar._on_log_toggled
+```
+
+---
+
+## Pixel Format
+
+```python
+pixel_format_name()
+```
+
+eksportowane z:
+
+```python
+camera_enumerator.py
+```
+
+używane również w:
+
+```python
+camera_service.py
+```
+
+---
+
+## Log Header
+
+Nagłówek logu zawiera:
+
+- wersję aplikacji
+- platformę
+- Python
+- PySide6
+- liczbę CPU
+- RAM
+
+---
+
+## Uruchamianie
+
+```bash
+.venv-win\Scripts\python.exe -m app.main
+```
+
+---
+
+## Ruff Fixes
+
+Naprawiono:
+
+- `E501`
+  - długa linia w `camera_enumerator.py`
+- `F401`
+- `I001`
+  - w `camera_service.py`
+  - w `main.py`
+
+---
+
+# Relevant Files
+
+## Entry Point
+
+- `app/main.py`
+  - wywołuje `setup_logging()`
+  - przekazuje `log_path`
+
+## Config
+
+- `app/config.py`
+  - `LOG_DIR`
+  - `MAX_LOG_FILES`
+  - `TELEMETRY_CSV_INTERVAL_S`
+
+## Logging
+
+- `app/logging_setup.py`
+  - konfiguracja logowania
+  - nagłówek sesji
+  - pruning
+
+## Telemetry
+
+- `app/telemetry/csv_logger.py`
+  - zapis CSV z throttlingiem
+
+- `app/telemetry/telemetry_collector.py`
+  - `TelemetrySnapshot`
+  - `TelemetryCollector`
+
+## Camera
+
+- `app/camera/camera_enumerator.py`
+  - `CameraFormat`
+  - `CameraInfo`
+  - `pixel_format_name()`
+
+- `app/camera/camera_service.py`
+  - `CameraService`
+  - `format_changed`
+  - `_log_actual_format()`
+
+## UI
+
+- `app/ui/main_window.py`
+  - kompletny
+  - podpięty `CsvTelemetryLogger`
+
+- `app/ui/menu_bar.py`
+  - `set_log_file_path()`
+  - `set_console_level()`
+
+- `app/ui/camera_view.py`
+  - `CameraView`
+  - rejestr `IOverlayLayer`
+
+## Overlay
+
+- `app/overlay/overlay_layer.py`
+  - `IOverlayLayer` ABC
+
+- `app/overlay/telemetry_overlay.py`
+  - `TelemetryOverlay(IOverlayLayer)`
+
+## Pipeline
+
+- `app/pipeline/frame_dispatcher.py`
+  - pub/sub
+  - `drop_if_busy`
+
+## Tests
+
+- `tests/test_telemetry_collector.py`
+  - 12 testów
+  - mockuje `cpu_count`
+
+- `tests/test_frame_dispatcher.py`
+  - 8 testów
+
+## Repo / Docs
+
+- `.gitignore`
+  - zawiera `logs/`
+
+- `notes/01-mvp-preview.md`
+  - PRD
+
+- `notes/01-mvp-plan.md`
+  - plan implementacji
+
+- `notes/02-mvp-app.md`
+  - stan aplikacji
+  - historia prób i decyzji architektonicznych

notes/04-mvp-uvc.md

@@ -0,0 +1,368 @@
+# Stan projektu po sesji: UVC controls + przebudowa menu formatu
+
+## Kontekst
+
+Aplikacja uruchomiona na docelowym Mac Mini. Kamera ELP dostarcza klatki w formacie NV12 (przez backend AVFoundation). Stare menu z osobnymi podmenu `Resolution` i `FPS` nie nadawało się do użycia — kamera eksponuje formaty jako kombinacje (rozdzielczość + fps + pixel format), a ich niezależne ustawianie dawało nieskoordynowane wyniki.
+
+Dodano też interfejs do kontroli parametrów obrazu kamery.
+
+---
+
+## Zmiany w tej sesji
+
+### 1. Menu formatu — przebudowane (`app/ui/menu_bar.py`)
+
+**Przed:** dwa osobne podmenu — `Video → Resolution` i `Video → FPS`.
+
+**Po:** jedno podmenu `Video → Resolution` z pozycjami reprezentującymi pełny format:
+
+```
+1920×1080 @ 30fps (NV12)
+1920×1080 @ 30fps (MJPG)
+1280×720 @ 30fps (NV12)
+1280×720 @ 5fps (YUY2)
+640×480 @ 30fps (MJPG)
+...
+```
+
+Każda pozycja odpowiada dokładnie jednemu `CameraFormat` z `CameraInfo.formats`. Kolejność odzwierciedla sortowanie z `CameraEnumerator` (największa powierzchnia → najwyższe fps).
+
+**Sygnały:**
+
+- Usunięto: `resolution_selected(int, int)`, `fps_selected(float)`
+- Dodano: `format_selected(CameraFormat)` — emituje pełny obiekt formatu
+- Dodano: `camera_settings_requested()` — otwiera dialog ustawień
+
+**Metody publiczne:**
+
+- `populate_formats(camera_info)` — zamiast `populate_resolutions` + `populate_fps`
+- `set_active_format(fmt)` — zaznacza aktywny format po zmianie (matching po w/h/fps/pixel_format)
+- Usunięto: `set_console_level()` (przeniesione do wewnętrznego `_on_log_toggled`)
+
+**Nowe menu `Image`:**
+
+```
+Image
+  └── Camera Settings…   → otwiera CameraSettingsDialog
+```
+
+---
+
+### 2. CameraService — `set_format()` (`app/camera/camera_service.py`)
+
+**Przed:** dwie metody `set_resolution(w, h)` i `set_fps(fps)` przechowujące `_desired_width`, `_desired_height`, `_desired_fps` osobno.
+
+**Po:** jedna metoda `set_format(fmt: CameraFormat)` przechowująca `_desired_fmt: CameraFormat | None`.
+
+```python
+def set_format(self, fmt: CameraFormat) -> None:
+    self._desired_fmt = fmt
+    if self._current_info is not None:
+        self.start(self._current_info)   # stop+start jak poprzednio
+```
+
+**Scoring przy wyborze formatu Qt (`_apply_format`):**
+
+Poprzednio scoringował tylko rozdzielczość i fps. Teraz uwzględnia też pixel format:
+
+```python
+exact_res  = int(w == desired.width and h == desired.height) * 1000
+exact_pf   = int(pf == desired.pixel_format) * 500
+exact_fps  = int(abs(f - desired.max_fps) < 0.5) * 100
+area_diff  = abs(w * h - desired.width * desired.height)
+score      = exact_res + exact_pf + exact_fps - area_diff
+```
+
+Pixel format jest drugim co do ważności kryterium (po rozdzielczości, przed fps).
+
+**Nowa właściwość:**
+
+```python
+@property
+def qt_camera(self) -> QCamera | None:
+    ...
+```
+
+Udostępnia wewnętrzny `QCamera` dla `CameraSettingsDialog` (potrzebny do ustawiania WB i exposure przez Qt API).
+
+**Poprawione logowanie:**
+
+`_log_actual_format()` loguje teraz ostrzeżenia zarówno dla FPS jak i rozdzielczości jeśli kamera nie dostarczyła tego co było żądane.
+
+---
+
+### 3. Warstwa UVC (`app/camera/uvc/`)
+
+Nowy pakiet z abstrakcją dla sterowania parametrami obrazu przez UVC (USB Video Class).
+
+#### Dlaczego osobna warstwa, nie Qt?
+
+`QCamera.Feature` w Qt6 obejmuje: `ColorTemperature`, `ExposureCompensation`, `IsoSensitivity`, `ManualExposureTime`, `CustomFocusPoint`, `FocusDistance`. **Nie obejmuje** brightness, contrast, saturation, hue, sharpness, gamma, backlight compensation — są to niskopoziomowe UVC/V4L2 controls poza zakresem Qt Multimedia.
+
+Sterowanie nimi wymaga osobnych bibliotek natywnych, innych na każdej platformie.
+
+#### Dostępne biblioteki
+
+| Biblioteka | Platforma | Instalacja | Uwagi |
+|---|---|---|---|
+| `duvc-ctl` | Windows only | `pip install duvc-ctl` | DirectShow, stabilna, PyPI, MIT |
+| `pyuvc` | macOS + Linux | `brew install libusb jpeg-turbo && pip install pyuvc` | libuvc bindings, wymaga kompilacji |
+| `uvc-py` | macOS + Linux (Win w planie) | `pip install uvc-py` | dev/alpha, brak UVC controls |
+
+#### Struktura
+
+```
+app/camera/uvc/
+├── __init__.py      # make_uvc_controller(name) — factory z detekcją platformy
+├── base.py          # UvcControllerBase ABC, UvcParam enum, UvcParamInfo dataclass
+├── stub.py          # NullUvcController — no-op fallback
+├── windows.py       # WindowsUvcController — duvc-ctl (DirectShow)
+└── macos.py         # MacUvcController — pyuvc (libuvc)
+```
+
+#### `UvcParam` enum
+
+```python
+class UvcParam(Enum):
+    BRIGHTNESS
+    CONTRAST
+    SATURATION
+    HUE
+    SHARPNESS
+    GAMMA
+    WHITE_BALANCE
+    BACKLIGHT_COMPENSATION
+    EXPOSURE
+```
+
+#### `UvcParamInfo` dataclass
+
+```python
+@dataclass
+class UvcParamInfo:
+    param: UvcParam
+    supported: bool
+    minimum: int = 0
+    maximum: int = 100
+    default: int = 50
+    current: int = 50
+    step: int = 1
+    auto_supported: bool = False
+    auto_enabled: bool = False
+```
+
+#### `UvcControllerBase` ABC — interfejs
+
+```python
+def open(self, device_name: str) -> bool     # otwiera uchwyt do urządzenia
+def close(self) -> None
+def is_open(self) -> bool
+def get_param_info(self, param: UvcParam) -> UvcParamInfo
+def get_all_params(self) -> list[UvcParamInfo]
+def set_value(self, param: UvcParam, value: int) -> bool
+def set_auto(self, param: UvcParam, enabled: bool) -> bool
+```
+
+#### `make_uvc_controller(device_name)` — factory
+
+Detekcja platformy w runtime:
+
+```python
+if system == "Windows":
+    → WindowsUvcController (duvc-ctl)
+elif system == "Darwin":
+    → MacUvcController (pyuvc)
+else:
+    → NullUvcController
+```
+
+Jeśli biblioteka nie jest zainstalowana — `ImportError` przechwycony, fallback na `NullUvcController`. Loguje `WARNING` z instrukcją instalacji.
+
+#### `WindowsUvcController` — szczegóły
+
+- Łączy się z pierwszym urządzeniem którego nazwa zawiera `device_name` (case-insensitive)
+- Mapowanie `UvcParam → duvc-ctl VidProp/CamProp` string:
+  - `BRIGHTNESS → "brightness"`, `CONTRAST → "contrast"`, ..., `EXPOSURE → "exposure"`
+- `set_auto()` używa `duvc.CamMode.AUTO/MANUAL`
+- `_refresh_supported()` odpytuje `cam.get_supported_properties()` po otwarciu
+
+#### `MacUvcController` — szczegóły
+
+- Używa `uvc.device_list()` do wyszukania urządzenia po nazwie
+- Otwiera przez `uvc.Capture(uid)`
+- Mapowanie `UvcParam → pyuvc display_name` string:
+  - `WHITE_BALANCE → "White Balance temperature"`, `EXPOSURE → "Absolute Exposure Time"`, itd.
+- `auto_mode` via `ctrl.auto_mode` (atrybut pyuvc control)
+
+---
+
+### 4. CameraSettingsDialog (`app/ui/camera_settings_dialog.py`)
+
+`QDialog` ze scrollowaną zawartością, dwoma sekcjami. Zmiany aplikowane **na żywo** (brak OK/Apply — tylko Close).
+
+#### Sekcja Qt Camera Controls
+
+| Kontrolka | Widget | Akcja |
+|---|---|---|
+| White Balance | `QComboBox` (8 trybów + Manual) | `camera.setWhiteBalanceMode()` |
+| Colour Temp (K) | `QSpinBox` 2000–10000, krok 100 | `camera.setColorTemperature()` — widoczny tylko w trybie Manual |
+| Exposure Mode | `QComboBox` (Auto / Manual) | `camera.setExposureMode()` |
+| Exposure Time (s) | `QDoubleSpinBox`, 6 miejsc po przecinku | `camera.setManualExposureTime()` — widoczny tylko w trybie Manual |
+
+Dynamiczna widoczność: pola `Colour Temp` i `Exposure Time` pojawiają się tylko gdy wybrano tryb Manual.
+
+Tryby WB sprawdzane przez `camera.isWhiteBalanceModeSupported()` przed aplikacją — jeśli kamera nie obsługuje trybu, zmiana jest ignorowana (logowane DEBUG).
+
+#### Sekcja UVC Camera Controls
+
+Dla każdego `UvcParam`:
+
+- Jeśli `supported=False`: wyświetla "Not supported" (disabled)
+- Jeśli `supported=True`: `QSlider` + `QSpinBox` zsynchronizowane dwukierunkowo
+- Jeśli `auto_supported=True`: dodatkowy `QCheckBox "Auto"` — po zaznaczeniu blokuje slider i spinbox
+
+Jeśli `NullUvcController` (żadne kontrolki nieobsługiwane): sekcja wyświetla notatkę:
+
+```
+UVC controls not available.
+Install duvc-ctl (Windows) or pyuvc (macOS) to enable.
+```
+
+---
+
+### 5. MainWindow — aktualizacje (`app/ui/main_window.py`)
+
+**Nowe pola:**
+
+```python
+self._uvc: UvcControllerBase = NullUvcController()
+```
+
+**Nowe metody:**
+
+- `_open_uvc(cam)` — zamyka poprzedni UVC controller i otwiera nowy dla wybranej kamery
+- `_on_format_selected(fmt)` → `camera_service.set_format(fmt)`
+- `_on_settings_requested()` → tworzy `CameraSettingsDialog(qt_camera, uvc)` i wywołuje `.exec()`
+
+**Zmiany w `_wire_signals()`:**
+
+- Usunięto: `menu.resolution_selected`, `menu.fps_selected`
+- Dodano: `menu.format_selected → _on_format_selected`
+- Dodano: `menu.camera_settings_requested → _on_settings_requested`
+
+**`closeEvent`:**
+
+- Dodano: `self._uvc.close()` jeśli `is_open()`
+
+---
+
+### 6. Testy (`tests/test_uvc.py`) — nowy plik, 15 testów
+
+| Klasa testowa | Co testuje |
+|---|---|
+| `TestNullUvcController` | `open` → False, `is_open` → False, `close` bez wyjątku, `get_param_info` → unsupported, `get_all_params` zwraca wszystkie `UvcParam`, `set_value`/`set_auto` → False bez wyjątku |
+| `TestUvcParamInfo` | wartości domyślne dataclass, flaga `supported=False`, custom range |
+| `TestMakeUvcControllerFallback` | zwraca instancję `UvcControllerBase`, fallback na stub gdy `ImportError` |
+
+Łącznie testów: **35** (20 poprzednich + 15 nowych), wszystkie zielone.
+
+---
+
+## Decyzje architektoniczne
+
+### Dlaczego `set_format()` zamiast osobnych `set_resolution`/`set_fps`?
+
+Kamera ELP przez AVFoundation eksponuje formaty jako niepodzielne kombinacje `(W × H, fps, pixel_format)`. Próba niezależnej zmiany rozdzielczości bez zmiany fps (i odwrotnie) prowadziła do niespójnych stanów — kamera ignorowała jedną z wartości albo wybierała domyślny format. Jeden `CameraFormat` jako atomowa jednostka wyboru eliminuje problem.
+
+### Dlaczego warstwowa architektura UVC a nie jedna biblioteka?
+
+Brak cross-platform biblioteki Python dla UVC controls. `duvc-ctl` — Windows only (DirectShow), `pyuvc` — macOS/Linux (libuvc). Warstwa abstrakcji z platformową detekcją w runtime pozwala:
+- Działać bez żadnej biblioteki (NullUvcController — grayed-out w UI)
+- Dodać obsługę nowej platformy bez zmiany warstwy wyżej
+- Testować logikę UI niezależnie od dostępności sprzętu
+
+### Dlaczego Qt controls i UVC controls w jednym dialogu?
+
+WB i exposure są dostępne przez oba API (Qt i UVC). Qt API jest wyżej poziomowe (tryby, EV), UVC daje surowe wartości rejestrów. Użytkownik widzi jedno spójne miejsce — nie musi wiedzieć przez które API co działa.
+
+---
+
+## Pliki zmienione / dodane
+
+### Zmienione
+
+| Plik | Co zmieniono |
+|---|---|
+| `app/ui/menu_bar.py` | Przebudowa menu: `format_selected` zamiast `resolution_selected`+`fps_selected`, nowe menu Image |
+| `app/camera/camera_service.py` | `set_format()` zamiast `set_resolution`/`set_fps`, `qt_camera` property, lepsza walidacja w `_log_actual_format` |
+| `app/ui/main_window.py` | UVC lifecycle, nowe sygnały menu, `_on_settings_requested` |
+
+### Dodane
+
+| Plik | Co zawiera |
+|---|---|
+| `app/camera/uvc/__init__.py` | `make_uvc_controller()` factory |
+| `app/camera/uvc/base.py` | `UvcControllerBase`, `UvcParam`, `UvcParamInfo` |
+| `app/camera/uvc/stub.py` | `NullUvcController` |
+| `app/camera/uvc/windows.py` | `WindowsUvcController` (duvc-ctl) |
+| `app/camera/uvc/macos.py` | `MacUvcController` (pyuvc) |
+| `app/ui/camera_settings_dialog.py` | `CameraSettingsDialog` |
+| `tests/test_uvc.py` | 15 testów UVC layer |
+
+---
+
+## Instalacja bibliotek UVC
+
+### Mac Mini (cel docelowy)
+
+```bash
+brew install libusb jpeg-turbo
+pip install pyuvc
+```
+
+### Windows (dev)
+
+```bash
+pip install duvc-ctl
+```
+
+### Bez bibliotek
+
+Aplikacja działa normalnie — sekcja UVC w `CameraSettingsDialog` wyświetla komunikat o braku biblioteki. Qt controls (WB, Exposure) działają niezależnie od UVC.
+
+---
+
+## Next Steps
+
+1. Przetestować na Mac Mini z kamerą ELP:
+   - czy `MacUvcController` otwiera urządzenie po `pip install pyuvc`
+   - czy slidery zmieniają rzeczywiste parametry kamery
+   - czy `Camera Settings…` poprawnie pokazuje zakresy dla ELP (np. brightness 0–255)
+
+2. Sprawdzić czy AVFoundation na macOS honoruje `setCameraFormat` bez stop+start (Qt docs mówią że na macOS inny proces może nadpisać format — `_log_actual_format` oznaczy to jako warning)
+
+3. Dodać `set_active_format()` call po `_log_actual_format()` żeby menu zaznaczało faktycznie działający format (nie żądany)
+
+4. Rozważyć `QSlider` z etykietą wartości min/max/default w dialogu — aktualnie są tylko slider + spinbox
+
+5. (Opcjonalnie) Preset systemu: zapisz/wczytaj ustawienia do JSON per kamera
+
+---
+
+## Critical Context
+
+- `CameraService.qt_camera` → `QCamera | None` — potrzebny do `CameraSettingsDialog`, jest `None` gdy kamera zatrzymana
+- `make_uvc_controller(name)` zwraca **już otwarty lub próbujący otworzyć** kontroler; `MainWindow._open_uvc()` nie wywołuje `.open()` ponownie jeśli `is_open()` zwróci True
+- `MacUvcController` używa `uvc.device_list()` (pyuvc API) — wymaga że kamera **nie jest** aktywnie używana przez inny proces (ograniczenie libusb na macOS)
+- `WindowsUvcController` działa **równolegle** z Qt — DirectShow pozwala na jednoczesny dostęp do controls i streamu
+- Testy UVC nie wymagają sprzętu ani bibliotek natywnych — `NullUvcController` jest czystym Pythonem
+
+## Uruchamianie
+
+```bash
+# Windows dev
+.venv-win\Scripts\python.exe -m app.main
+
+# Mac Mini (po instalacji pyuvc)
+.venv/bin/python -m app.main
+```

notes/05-mvp-yolo.md

@@ -0,0 +1,505 @@
+# Stan projektu po sesji: YOLO inference + odtwarzanie wideo
+
+Poprzedni stan: `04-mvp-uvc.md`
+
+---
+
+## Kontekst
+
+Po uruchomieniu aplikacji na Mac Mini z kamerą ELP, kolejny krok to weryfikacja
+wytrenowanego modelu YOLO. Wymagania:
+
+- Model działa w **osobnym procesie** — crash workera nie wywala GUI
+- Inference **nie blokuje** i **nie spowalnia** podglądu kamery
+- Worker **ignoruje klatki** dopóki analizuje poprzednią (drop-if-busy)
+- Możliwość wczytania **pliku wideo** zamiast kamery do oceny modelu
+- Bbox narysowany na nowej **warstwie overlay**
+- W przyszłości OCR będzie działał w tym samym procesie co YOLO
+
+---
+
+## Nowe pakiety
+
+### `app/video/`
+
+```
+app/video/
+├── __init__.py
+└── video_player.py
+```
+
+### `app/inference/`
+
+```
+app/inference/
+├── __init__.py
+├── worker.py           # funkcja uruchamiana w subprocess
+├── worker_manager.py   # InferenceManager (QObject) — IPC, polling, auto-restart
+└── bbox_overlay.py     # BboxOverlay(IOverlayLayer) — rysuje bbox+label+conf
+```
+
+---
+
+## Szczegółowy opis zmian
+
+### 1. `app/video/video_player.py` — `VideoPlayer`
+
+Nowa klasa `VideoPlayer(QObject)` — identyczny interfejs sygnałowy jak `CameraService`:
+
+```python
+frame_ready     = Signal(QVideoFrame)
+playback_started = Signal()
+playback_stopped = Signal()
+playback_error   = Signal(str)
+```
+
+Wewnętrznie: `QMediaPlayer` + `QVideoSink`. Obsługuje formaty: `.mp4`, `.avi`,
+`.mov`, `.mkv`, `.m4v`, `.webm` (cokolwiek obsługuje FFmpeg backend Qt).
+
+Odtwarzanie w czasie rzeczywistym (1×). Brak seek/pauzy — tylko Open + Stop.
+
+`MainWindow` podłącza do `FrameDispatcher` albo `CameraService.frame_ready`,
+albo `VideoPlayer.frame_ready` — nigdy obu naraz. Przełączanie przez
+`_switch_to_camera()` / `_switch_to_video()`.
+
+---
+
+### 2. `app/inference/worker.py` — worker process
+
+#### Struktury IPC (NamedTuple — pickle-safe)
+
+```python
+class FramePacket(NamedTuple):
+    frame_id: int
+    raw_bytes: bytes    # RGB, (H×W×3)
+    width: int
+    height: int
+    channels: int       # zawsze 3
+
+class WorkerReadyPacket(NamedTuple):
+    device: str         # "cpu" | "mps" — wysyłany raz po załadowaniu modelu
+
+class ResultPacket(NamedTuple):
+    frame_id: int
+    detections: list    # list of (x1, y1, x2, y2, conf, label)
+    width: int
+    height: int
+    elapsed_ms: float   # czas wywołania model() w ms
+```
+
+#### Protokół IPC
+
+```
+input_queue  ← FramePacket
+output_queue → WorkerReadyPacket  (raz, zaraz po załadowaniu modelu)
+             → ResultPacket       (po każdej analizowanej klatce)
+             → None               (tylko przy błędzie ładowania modelu)
+```
+
+#### `_select_device()` — wybór urządzenia
+
+Wywoływany **raz przy starcie workera** (nie per-frame jak wcześniej):
+
+```python
+def _select_device() -> str:
+    if platform.system() == "Darwin":
+        if torch.backends.mps.is_available():
+            return "mps"   # Metal GPU na macOS
+    return "cpu"
+```
+
+`device` jest przekazywany do `_load_model()` i do każdego wywołania `_infer()`.
+Eliminuje redundantne wykrywanie urządzenia przy każdej klatce.
+
+#### `_infer()` — pomiar czasu
+
+```python
+t0 = time.perf_counter()
+results = model(frame_np, device=device, verbose=False)
+elapsed_ms = (time.perf_counter() - t0) * 1000.0
+```
+
+`elapsed_ms` trafia do `ResultPacket` i jest logowany w managerze przy detekcjach.
+
+---
+
+### 3. `app/inference/worker_manager.py` — `InferenceManager`
+
+#### Sygnały
+
+```python
+detections_ready      = Signal(object, object)  # list[Detection], tuple[int,int]
+detection_count_updated = Signal(int)           # łączna liczba klatek z detekcją
+inference_stats_updated = Signal(str, float)    # device, avg_elapsed_ms
+inference_device_changed = Signal(str)          # emitowany raz po WorkerReadyPacket
+inference_started     = Signal()
+inference_stopped     = Signal()
+inference_error       = Signal(str)
+```
+
+#### Mechanizm drop-if-busy
+
+```python
+def submit_frame(self, frame: QVideoFrame) -> None:
+    if not self.is_running or self._paused or self._busy:
+        return   # klatka odrzucona cicho
+    # konwersja + put_nowait → self._busy = True
+```
+
+`self._busy` wraca do `False` dopiero gdy `_poll_output()` odbierze `ResultPacket`.
+Gwarantuje że nigdy nie ma więcej niż jedna klatka w locie.
+
+#### Konwersja klatki w GUI thread
+
+Zamiast `frame.bits(0)` (dawało tylko płaszczyznę Y dla NV12):
+
+```python
+image = frame.toImage()                           # Qt dekoduje NV12/YUV/MJPG → RGB
+image = image.convertToFormat(Format_RGB32)       # packed BGRX
+arr = np.frombuffer(image.bits(), dtype=np.uint8).reshape((H, W, 4))
+rgb = arr[:, :, [2, 1, 0]].copy()                # BGRX → RGB, drop X
+```
+
+Obsługuje każdy pixel format jaki kamera może dostarczyć.
+
+#### Rolling average elapsed_ms
+
+```python
+_elapsed_window: deque[float]  # maxlen=10
+avg_ms = sum(_elapsed_window) / len(_elapsed_window)
+```
+
+Emitowany przez `inference_stats_updated(device, avg_ms)` po każdym `ResultPacket`.
+
+#### `_poll_output()` — obsługa `WorkerReadyPacket`
+
+```python
+if isinstance(item, WorkerReadyPacket):
+    self._current_device = item.device
+    self.inference_device_changed.emit(item.device)
+    continue
+```
+
+Odróżnienie od `ResultPacket` przez `isinstance` — nie wymaga sentinel wartości.
+
+#### Auto-restart
+
+- Watchdog co 2s sprawdza `process.is_alive()`
+- Timeout 10s bez odpowiedzi → terminate + restart
+- Max 3 restartów (konfigurowalny przez `INFERENCE_MAX_RESTARTS`)
+- Po przekroczeniu: `QMessageBox.critical` + overlay wyłączony
+
+#### Logowanie — tylko detekcje
+
+```python
+if detections:
+    logger.info(
+        "frame %d: %d detection(s) in %.1f ms — %s",
+        packet.frame_id, len(detections), packet.elapsed_ms, conf_summary,
+    )
+```
+
+Klatki bez detekcji: brak logu. `conf_summary = "label 0.94, label 0.81"`.
+
+---
+
+### 4. `app/inference/bbox_overlay.py` — `BboxOverlay`
+
+```python
+class Detection(NamedTuple):
+    x1: float; y1: float; x2: float; y2: float
+    conf: float
+    label: str
+```
+
+Współrzędne w pikselach **oryginalnej klatki**. `paint()` skaluje do `video_rect`:
+
+```python
+scale_x = video_rect.width() / src_w
+scale_y = video_rect.height() / src_h
+wx1 = video_rect.x() + int(det.x1 * scale_x)
+# ...
+```
+
+Każdy bbox: prostokąt w kolorze `BBOX_COLOR` + label `"label 0.87"` na tle
+`BBOX_LABEL_BG_COLOR` nad lewym górnym rogiem boxa (lub wewnątrz gdy brakuje miejsca).
+
+`BboxOverlay.visible = False` domyślnie — pojawia się dopiero po włączeniu inference toggle.
+
+---
+
+### 5. Menu — zmiany w `app/ui/menu_bar.py`
+
+Dodano dwa nowe menu przed istniejącymi:
+
+```
+File
+  ├── Open Video…         QFileDialog (.mp4 .avi .mov .mkv .m4v .webm)
+  └── Close Video         disabled gdy źródło = kamera
+
+Model
+  ├── Load Model…         QFileDialog (.pt .pth)
+  ├── Enable Inference    QAction checkable, disabled do momentu załadowania modelu
+  └── Model: (none)       disabled — info o załadowanym pliku
+```
+
+Nowe sygnały:
+- `video_file_selected(str)` — ścieżka pliku wideo
+- `video_closed()` — powrót do kamery
+- `model_file_selected(str)` — ścieżka modelu
+- `inference_toggled(bool)` — włącz/wyłącz inference
+
+---
+
+### 6. `app/ui/main_window.py` — integracja
+
+#### Przełączanie źródła klatek
+
+```python
+def _switch_to_camera(self):
+    video_player.frame_ready.disconnect(dispatcher.dispatch)
+    camera_service.frame_ready.connect(dispatcher.dispatch)
+
+def _switch_to_video(self):
+    camera_service.frame_ready.disconnect(dispatcher.dispatch)
+    video_player.frame_ready.connect(dispatcher.dispatch)
+```
+
+Dispatcher i wszyscy subskrybenci (CameraView, TelemetryCollector,
+InferenceManager) są podłączeni do dispatchera — źródło klatek jest dla nich
+transparentne.
+
+#### Inference toggle
+
+```python
+def _on_inference_toggled(self, enabled: bool):
+    if enabled:
+        inference.resume()
+        dispatcher.subscribe(inference.submit_frame, drop_if_busy=True)
+        bbox_overlay.visible = True
+        detection_label.setVisible(True)
+    else:
+        inference.pause()
+        dispatcher.unsubscribe(inference.submit_frame)
+        bbox_overlay.clear()
+        bbox_overlay.visible = False
+        detection_label.setVisible(False)
+        telemetry.clear_inference_stats()
+```
+
+`pause()` nie zatrzymuje procesu — tylko blokuje `submit_frame`. Proces
+pozostaje załadowany w pamięci.
+
+#### Status bar — counter detekcji
+
+```python
+self._detection_label = QLabel("")   # addPermanentWidget (prawa strona)
+```
+
+Pokazywany tylko gdy inference włączone. Aktualizowany przez
+`inference.detection_count_updated(int)` → `"Detections: 17 frames"`.
+
+---
+
+### 7. Telemetria + overlay — nowe pola inference
+
+#### `TelemetrySnapshot` — nowe pola
+
+```python
+@dataclass
+class TelemetrySnapshot:
+    # ... istniejące pola ...
+    inference_device: str | None = None    # "cpu" | "mps" | None
+    inference_time_ms: float | None = None  # rolling avg, None gdy wyłączone
+```
+
+#### `TelemetryCollector` — nowe metody
+
+```python
+def set_inference_stats(self, device: str, avg_ms: float) -> None: ...
+def clear_inference_stats(self) -> None: ...
+```
+
+Wywoływane z `MainWindow` przy każdym `inference_stats_updated` i przy
+wyłączeniu inference.
+
+#### `TelemetryOverlay` — nowe wiersze
+
+```
+FPS req   30.0
+FPS got   29.8
+Frame     33.5 ms
+Drop         0
+CPU sys    8.2 %
+CPU core  65.7 %
+Mem        71 MB
+Inf.dev    mps        ← widoczny tylko gdy model załadowany
+Inf.time   87 ms      ← rolling avg ostatnich 10 klatek
+```
+
+Wiersze `Inf.dev` i `Inf.time` znikają gdy inference jest wyłączone
+(`clear_inference_stats()` → pola `None` → `_format_lines` ich nie emituje).
+
+---
+
+### 8. Bugfixes (zidentyfikowane po uruchomieniu)
+
+#### `Unexpected frame size: 921600 bytes for 1280×720`
+
+**Przyczyna:** `frame.bits(0)` zwraca tylko płaszczyznę 0 (luma Y) dla formatów
+planarnych NV12/YUV420P — `1280 × 720 × 1 = 921600` zamiast `1280 × 720 × 3`.
+
+**Naprawa:** zamiana na `frame.toImage() → Format_RGB32 → bits()`. Qt dekoduje
+każdy format wewnętrznie. Identyczna ścieżka jak `CameraView.on_frame()`.
+
+#### `Subscriber not found for removal` (WARNING w logu)
+
+**Przyczyna:** `_on_inference_toggled(False)` wywoływał `dispatcher.unsubscribe()`
+zanim subscriber był dodany (pierwsze wyłączenie przed włączeniem).
+
+**Naprawa:** zmiana poziomu logu z `WARNING` na `DEBUG` w
+`FrameDispatcher.unsubscribe()` — brak subscribera nie jest błędem.
+
+---
+
+## Decyzje architektoniczne
+
+### Osobny proces zamiast wątku
+
+`multiprocessing.Process(context="spawn")` zamiast `QThread` lub `threading.Thread`:
+- Osobny GIL — inference nie blokuje Python event loop GUI
+- Crash workera (segfault, OOM) nie wywala aplikacji
+- `spawn` zamiast `fork` — wymagane na macOS od Python 3.12 (Apple deprecuje `fork`)
+
+### `toImage()` zamiast `bits(0)`
+
+`QVideoFrame.bits(plane)` daje surowe bajty jednej płaszczyzny. W formatach
+planarnych (NV12: Y w plane 0, UV w plane 1) to tylko część obrazu. `toImage()`
+wywołuje wewnętrzny dekoder Qt i zawsze zwraca kompletny obraz niezależnie od
+pixel formatu.
+
+### `WorkerReadyPacket` zamiast osobnego IPC kanału
+
+Worker wysyła `WorkerReadyPacket(device)` do tej samej `output_queue` zaraz
+po załadowaniu modelu. Manager odróżnia go przez `isinstance`. Eliminuje
+potrzebę dodatkowej kolejki lub pipe tylko dla metadanych startu.
+
+### Inference stats przez `TelemetryCollector`, nie bezpośrednio do overlay
+
+`InferenceManager.inference_stats_updated` → `MainWindow._on_inference_stats_updated`
+→ `TelemetryCollector.set_inference_stats()` → `TelemetrySnapshot.inference_*`
+→ `TelemetryOverlay.paint()`.
+
+Alternatywa: bezpośrednie połączenie `InferenceManager → TelemetryOverlay`.
+Wybrano pośrednie przez `TelemetryCollector` bo:
+- `TelemetrySnapshot` jest jedyną strukturą danych opisującą stan systemu
+- CSV logger automatycznie dostaje inference stats bez dodatkowego kodu
+- Overlay ma jeden spójny model danych
+
+---
+
+## Pliki dodane
+
+| Plik | Zawartość |
+|---|---|
+| `app/video/__init__.py` | pusty |
+| `app/video/video_player.py` | `VideoPlayer(QObject)` |
+| `app/inference/__init__.py` | pusty |
+| `app/inference/worker.py` | `run_worker()`, `FramePacket`, `WorkerReadyPacket`, `ResultPacket`, `_select_device()`, `_infer()` |
+| `app/inference/worker_manager.py` | `InferenceManager(QObject)` |
+| `app/inference/bbox_overlay.py` | `Detection(NamedTuple)`, `BboxOverlay(IOverlayLayer)` |
+| `tests/test_bbox_overlay.py` | 16 testów — `Detection`, stan overlay, mapowanie współrzędnych bbox |
+| `tests/test_inference_manager.py` | 13 testów — drop-if-busy, pause/resume, restart counter, is_running |
+
+## Pliki zmienione
+
+| Plik | Co zmieniono |
+|---|---|
+| `app/config.py` | `INFERENCE_WORKER_TIMEOUT_S`, `INFERENCE_MAX_RESTARTS`, `INFERENCE_POLL_INTERVAL_MS`, `INFERENCE_WATCHDOG_INTERVAL_MS`, `BBOX_COLOR`, `BBOX_LABEL_BG_COLOR`, `BBOX_LABEL_TEXT_COLOR`, `BBOX_LINE_WIDTH`, `BBOX_FONT_SIZE`, `VIDEO_FILE_EXTENSIONS`, `MODEL_FILE_EXTENSIONS` |
+| `app/ui/menu_bar.py` | Menu `File` (Open Video…, Close Video), menu `Model` (Load Model…, Enable Inference, Model info) |
+| `app/ui/main_window.py` | `VideoPlayer` lifecycle, `InferenceManager` lifecycle, source switching, detection counter w statusbar, `_on_inference_stats_updated` |
+| `app/telemetry/telemetry_collector.py` | `TelemetrySnapshot.inference_device`, `TelemetrySnapshot.inference_time_ms`, `set_inference_stats()`, `clear_inference_stats()` |
+| `app/overlay/telemetry_overlay.py` | Wiersze `Inf.dev` i `Inf.time` w `_format_lines()` |
+| `app/pipeline/frame_dispatcher.py` | `unsubscribe()` brak subscribera: WARNING → DEBUG |
+| `pyproject.toml` | `[project.optional-dependencies] inference = ["ultralytics>=8.0", "numpy>=1.24"]` |
+| `tests/test_telemetry_collector.py` | `_make_collector()` uzupełniony o `_inference_device=None`, `_inference_time_ms=None` |
+
+---
+
+## Łączna liczba testów
+
+**69 testów, wszystkie zielone.**
+
+| Plik | Liczba testów |
+|---|---|
+| `test_frame_dispatcher.py` | 8 |
+| `test_telemetry_collector.py` | 12 |
+| `test_uvc.py` | 15 |
+| `test_bbox_overlay.py` | 16 |
+| `test_inference_manager.py` | 18 |
+
+---
+
+## Instalacja
+
+```bash
+# Wymagane do inference:
+pip install ultralytics numpy
+# lub:
+pip install -e ".[inference]"
+```
+
+Aplikacja startuje bez tych pakietów — `Load Model…` zostaje aktywne, ale
+`InferenceManager.start()` zgłosi błąd jeśli `ultralytics` nie jest zainstalowany
+(obsłużony przez `try/except ImportError` w workerze → `output_queue.put(None)`
+→ manager emituje `inference_error`).
+
+---
+
+## Uruchamianie
+
+```bash
+# Windows dev
+.venv-win\Scripts\python.exe -m app.main
+
+# Mac Mini
+.venv/bin/python -m app.main
+
+# Mac Mini z plikiem wideo od razu (CLI nie zaimplementowany — użyj File → Open Video…)
+.venv/bin/python -m app.main
+```
+
+---
+
+## Next Steps
+
+1. Przetestować na Mac Mini z kamerą ELP:
+   - czy `_select_device()` wykrywa MPS i loguje `"MPS (Metal) available"`
+   - czy `Inf.dev mps` pojawia się w overlayzie
+   - czy `Inf.time` jest znacząco niższy niż na CPU
+
+2. OCR w tym samym procesie co YOLO:
+   - Worker process może obsługiwać wiele zadań — dodać `OcrTask` do `FramePacket`
+   - lub uruchomić OCR jako osobny subscriber `FrameDispatcher` w osobnym procesie
+
+3. Dodać możliwość regulacji progu confidence (`conf_threshold`) przez menu/dialog
+   — przekazać jako parametr do `run_worker()` w `FramePacket` lub przy starcie
+
+4. `set_active_format()` call po `_log_actual_format()` żeby menu zaznaczało
+   faktycznie działający format (nie żądany) — z poprzedniej sesji
+
+---
+
+## Critical Context
+
+- `WorkerReadyPacket` jest rozróżniany od `ResultPacket` przez `isinstance` —
+  nie używaj `None` jako sentinela dla obu typów
+- `_select_device()` wywołany raz przy starcie — jeśli zmienisz device w trakcie
+  działania, trzeba zrestartować workera
+- `BboxOverlay.on_detections(detections, source_size)` — `source_size` to
+  `tuple[int, int]` (width, height) klatki która była inferowana, nie aktualnego
+  widgetu; potrzebne do poprawnego skalowania przy zmianie rozdzielczości
+- `InferenceManager.pause()` nie zatrzymuje procesu — `submit_frame` tylko
+  sprawdza flagę; model pozostaje załadowany, można szybko wznowić
+- `multiprocessing.get_context("spawn")` — wymagane na macOS/Windows;
+  `fork` jest domyślny na Linux ale niebezpieczny z Qt

notes/camera_elp.md

@@ -0,0 +1,182 @@
+# Camera Specification
+
+## Model
+
+**ELP-USB4KHDR01-MFV(5-50)**  
+(10X zoom manual lens)
+
+### Optional
+
+**ELP-USB4KHDR01-MFV(2.8-12)**  
+(2.8-12mm manual zoom lens)
+
+---
+
+## Sensor
+
+- SONY IMX317 (1/2.5”)
+
+## Max Resolution
+
+- 3840(H) × 2160(V)
+
+## Sensitivity
+
+- 1000mV/Lux-sec
+
+## Image Area
+
+- 6100μm × 4524μm
+
+## Picture Format
+
+- MJPEG
+- YUY2 (YUYV)
+
+---
+
+# Resolution & FPS
+
+## MJPEG Modes
+
+| Resolution | FPS |
+|---|---|
+| 3840×2160 | 30 fps |
+| 2592×1944 | 30 fps |
+| 2048×1536 | 30 fps |
+| 1600×1200 | 30 fps |
+| 1920×1080 | 30 fps |
+| 1280×1024 | 30 fps |
+| 1280×960 | 30 fps |
+| 1280×720 | 30 fps |
+| 1024×768 | 30 fps |
+| 800×600 | 30 fps |
+| 640×480 | 30 fps |
+| 320×240 | 30 fps |
+
+## YUY2 Modes
+
+| Resolution | FPS |
+|---|---|
+| 3840×2160 | 1 fps |
+| 2592×1944 | 1 fps |
+| 2048×1536 | 3 fps |
+| 1600×1200 | 3 fps |
+| 1920×1080 | 3 fps |
+| 1280×1024 | 3 fps |
+| 1280×960 | 5 fps |
+| 1280×720 | 5 fps |
+| 1024×768 | 5 fps |
+| 800×600 | 20 fps |
+| 640×480 | 30 fps |
+| 320×240 | 30 fps |
+
+---
+
+## Optical / Image Parameters
+
+| Parameter | Value |
+|---|---|
+| Center Definition | 1000LW/PH (Center) |
+| S/N Ratio | 26dB |
+| Sensitivity | 0.65V/lux-sec@550nm |
+| Low Illumination | 0.2lux |
+| Shutter | Electronic rolling shutter / Frame exposure |
+
+---
+
+## Interface
+
+- USB2.0 High Speed
+
+---
+
+## Supported Features
+
+| Feature | Support |
+|---|---|
+| AEC | Yes |
+| AEB | Yes |
+| AGC | Yes |
+
+---
+
+## Adjustable Parameters
+
+- Brightness
+- Contrast
+- Saturation
+- Hue
+- Sharpness
+- Gamma
+- White Balance
+- Backlight Contrast
+- Exposure
+
+---
+
+## Lens
+
+- 2.8-12mm / 5-50mm varifocal manual lens optional
+
+---
+
+## Audio
+
+- Built-in microphone
+- Supports audio recording
+
+---
+
+## Power
+
+| Parameter | Value |
+|---|---|
+| Power Supply | USB BUS POWER 4P-2.0mm socket |
+| Voltage | DC5V |
+| Current | 200mA |
+
+---
+
+## Physical Dimensions
+
+- 45mm × 45mm × 50mm
+
+---
+
+## Temperature
+
+| Parameter | Value |
+|---|---|
+| Storage Temperature | -20°C to 70°C |
+| Working Temperature | 0°C to 60°C |
+
+---
+
+## USB Cable
+
+- 3M standard
+- Optional: 1M / 2M / 5M
+
+---
+
+# Supported Operating Systems
+
+## Windows
+
+- Windows XP
+- Windows Vista
+- Windows 7
+- Windows 8
+- Windows 10
+- Windows 11
+
+## Linux
+
+- Linux with UVC support
+- Kernel above linux-2.6.26
+
+## macOS / Android
+
+- macOS X 10.4.8 or later
+- Android 4.0 or above with UVC

notes/pyuvc_ex2.txt

@@ -0,0 +1,239 @@
+(.venv-mac-uvc) rafalkaczka@Mac-mini-Rafal duck-preview % sudo $(which python) test_pyuvc_ex2.py
+[11:11:55] DEBUG    Searching CameraSpec(name='HD USB CAMERA', width=1280, height=720, fps=30,  test_pyuvc_ex2.py:65
+                    bandwidth_factor=2.0)...                                                                        
+           DEBUG    Found match by name                                                         test_pyuvc_ex2.py:68
+           DEBUG    Found device that mached uid: 20:10                                         test_pyuvc_ex2.py:69
+           DEBUG    Device info: {'name': 'HD USB CAMERA', 'manufacturer': '4K USB CAMERA',     test_pyuvc_ex2.py:69
+                    'serialNumber': '01.00.00', 'idProduct': 791, 'idVendor': 13028,                                
+                    'device_address': 10, 'bus_number': 20, 'uid': '20:10'}                                         
+libusb: info [darwin_detach_kernel_driver] no capture entitlements. may not be able to detach the kernel driver for this device
+           DEBUG    Device '20:10' opended.                                                     test_pyuvc_ex2.py:69
+           DEBUG    Capture(name='HD USB CAMERA' manufacturer='4K USB CAMERA'                   test_pyuvc_ex2.py:69
+                    serialNumber='01.00.00' idProduct=791 idVendor=13028 device_address=10                          
+                    bus_number=20 uid='20:10') - all camera modes: [CameraMode(width=3840,                          
+                    height=2160, fps=30, format_native=7, format_name='MJPG', supported=True),                      
+                    CameraMode(width=3840, height=2160, fps=25, format_native=7,                                    
+                    format_name='MJPG', supported=True), CameraMode(width=3840, height=2160,                        
+                    fps=20, format_native=7, format_name='MJPG', supported=True),                                   
+                    CameraMode(width=3840, height=2160, fps=15, format_native=7,                                    
+                    format_name='MJPG', supported=True), CameraMode(width=3840, height=2160,                        
+                    fps=10, format_native=7, format_name='MJPG', supported=True),                                   
+                    CameraMode(width=3840, height=2160, fps=5, format_native=7,                                     
+                    format_name='MJPG', supported=True), CameraMode(width=1920, height=1080,                        
+                    fps=30, format_native=7, format_name='MJPG', supported=True),                                   
+                    CameraMode(width=1920, height=1080, fps=25, format_native=7,                                    
+                    format_name='MJPG', supported=True), CameraMode(width=1920, height=1080,                        
+                    fps=20, format_native=7, format_name='MJPG', supported=True),                                   
+                    CameraMode(width=1920, height=1080, fps=15, format_native=7,                                    
+                    format_name='MJPG', supported=True), CameraMode(width=1920, height=1080,                        
+                    fps=10, format_native=7, format_name='MJPG', supported=True),                                   
+                    CameraMode(width=1920, height=1080, fps=5, format_native=7,                                     
+                    format_name='MJPG', supported=True), CameraMode(width=2592, height=1944,                        
+                    fps=30, format_native=7, format_name='MJPG', supported=True),                                   
+                    CameraMode(width=2592, height=1944, fps=25, format_native=7,                                    
+                    format_name='MJPG', supported=True), CameraMode(width=2592, height=1944,                        
+                    fps=20, format_native=7, format_name='MJPG', supported=True),                                   
+                    CameraMode(width=2592, height=1944, fps=15, format_native=7,                                    
+                    format_name='MJPG', supported=True), CameraMode(width=2592, height=1944,                        
+                    fps=10, format_native=7, format_name='MJPG', supported=True),                                   
+                    CameraMode(width=2592, height=1944, fps=5, format_native=7,                                     
+                    format_name='MJPG', supported=True), CameraMode(width=2048, height=1536,                        
+                    fps=30, format_native=7, format_name='MJPG', supported=True),                                   
+                    CameraMode(width=2048, height=1536, fps=25, format_native=7,                                    
+                    format_name='MJPG', supported=True), CameraMode(width=2048, height=1536,                        
+                    fps=20, format_native=7, format_name='MJPG', supported=True),                                   
+                    CameraMode(width=2048, height=1536, fps=15, format_native=7,                                    
+                    format_name='MJPG', supported=True), CameraMode(width=2048, height=1536,                        
+                    fps=10, format_native=7, format_name='MJPG', supported=True),                                   
+                    CameraMode(width=2048, height=1536, fps=5, format_native=7,                                     
+                    format_name='MJPG', supported=True), CameraMode(width=1600, height=1200,                        
+                    fps=30, format_native=7, format_name='MJPG', supported=True),                                   
+                    CameraMode(width=1600, height=1200, fps=25, format_native=7,                                    
+                    format_name='MJPG', supported=True), CameraMode(width=1600, height=1200,                        
+                    fps=20, format_native=7, format_name='MJPG', supported=True),                                   
+                    CameraMode(width=1600, height=1200, fps=15, format_native=7,                                    
+                    format_name='MJPG', supported=True), CameraMode(width=1600, height=1200,                        
+                    fps=10, format_native=7, format_name='MJPG', supported=True),                                   
+                    CameraMode(width=1600, height=1200, fps=5, format_native=7,                                     
+                    format_name='MJPG', supported=True), CameraMode(width=1280, height=960,                         
+                    fps=30, format_native=7, format_name='MJPG', supported=True),                                   
+                    CameraMode(width=1280, height=960, fps=25, format_native=7,                                     
+                    format_name='MJPG', supported=True), CameraMode(width=1280, height=960,                         
+                    fps=20, format_native=7, format_name='MJPG', supported=True),                                   
+                    CameraMode(width=1280, height=960, fps=15, format_native=7,                                     
+                    format_name='MJPG', supported=True), CameraMode(width=1280, height=960,                         
+                    fps=10, format_native=7, format_name='MJPG', supported=True),                                   
+                    CameraMode(width=1280, height=960, fps=5, format_native=7,                                      
+                    format_name='MJPG', supported=True), CameraMode(width=1280, height=720,                         
+                    fps=30, format_native=7, format_name='MJPG', supported=True),                                   
+                    CameraMode(width=1280, height=720, fps=25, format_native=7,                                     
+                    format_name='MJPG', supported=True), CameraMode(width=1280, height=720,                         
+                    fps=20, format_native=7, format_name='MJPG', supported=True),                                   
+                    CameraMode(width=1280, height=720, fps=15, format_native=7,                                     
+                    format_name='MJPG', supported=True), CameraMode(width=1280, height=720,                         
+                    fps=10, format_native=7, format_name='MJPG', supported=True),                                   
+                    CameraMode(width=1280, height=720, fps=5, format_native=7,                                      
+                    format_name='MJPG', supported=True), CameraMode(width=1024, height=768,                         
+                    fps=30, format_native=7, format_name='MJPG', supported=True),                                   
+                    CameraMode(width=1024, height=768, fps=25, format_native=7,                                     
+                    format_name='MJPG', supported=True), CameraMode(width=1024, height=768,                         
+                    fps=20, format_native=7, format_name='MJPG', supported=True),                                   
+                    CameraMode(width=1024, height=768, fps=15, format_native=7,                                     
+                    format_name='MJPG', supported=True), CameraMode(width=1024, height=768,                         
+                    fps=10, format_native=7, format_name='MJPG', supported=True),                                   
+                    CameraMode(width=1024, height=768, fps=5, format_native=7,                                      
+                    format_name='MJPG', supported=True), CameraMode(width=800, height=600,                          
+                    fps=30, format_native=7, format_name='MJPG', supported=True),                                   
+                    CameraMode(width=800, height=600, fps=25, format_native=7,                                      
+                    format_name='MJPG', supported=True), CameraMode(width=800, height=600,                          
+                    fps=20, format_native=7, format_name='MJPG', supported=True),                                   
+                    CameraMode(width=800, height=600, fps=15, format_native=7,                                      
+                    format_name='MJPG', supported=True), CameraMode(width=800, height=600,                          
+                    fps=10, format_native=7, format_name='MJPG', supported=True),                                   
+                    CameraMode(width=800, height=600, fps=5, format_native=7,                                       
+                    format_name='MJPG', supported=True), CameraMode(width=640, height=480,                          
+                    fps=30, format_native=7, format_name='MJPG', supported=True),                                   
+                    CameraMode(width=640, height=480, fps=25, format_native=7,                                      
+                    format_name='MJPG', supported=True), CameraMode(width=640, height=480,                          
+                    fps=20, format_native=7, format_name='MJPG', supported=True),                                   
+                    CameraMode(width=640, height=480, fps=15, format_native=7,                                      
+                    format_name='MJPG', supported=True), CameraMode(width=640, height=480,                          
+                    fps=10, format_native=7, format_name='MJPG', supported=True),                                   
+                    CameraMode(width=640, height=480, fps=5, format_native=7,                                       
+                    format_name='MJPG', supported=True), CameraMode(width=320, height=240,                          
+                    fps=30, format_native=7, format_name='MJPG', supported=True),                                   
+                    CameraMode(width=320, height=240, fps=25, format_native=7,                                      
+                    format_name='MJPG', supported=True), CameraMode(width=320, height=240,                          
+                    fps=20, format_native=7, format_name='MJPG', supported=True),                                   
+                    CameraMode(width=320, height=240, fps=15, format_native=7,                                      
+                    format_name='MJPG', supported=True), CameraMode(width=320, height=240,                          
+                    fps=10, format_native=7, format_name='MJPG', supported=True),                                   
+                    CameraMode(width=320, height=240, fps=5, format_native=7,                                       
+                    format_name='MJPG', supported=True), CameraMode(width=3840, height=2160,                        
+                    fps=1, format_native=3, format_name='YUY2', supported=False),                                   
+                    CameraMode(width=1920, height=1080, fps=3, format_native=3,                                     
+                    format_name='YUY2', supported=False), CameraMode(width=2592, height=1944,                       
+                    fps=1, format_native=3, format_name='YUY2', supported=False),                                   
+                    CameraMode(width=2048, height=1536, fps=3, format_native=3,                                     
+                    format_name='YUY2', supported=False), CameraMode(width=1600, height=1200,                       
+                    fps=3, format_native=3, format_name='YUY2', supported=False),                                   
+                    CameraMode(width=1280, height=960, fps=5, format_native=3,                                      
+                    format_name='YUY2', supported=False), CameraMode(width=1280, height=720,                        
+                    fps=10, format_native=3, format_name='YUY2', supported=False),                                  
+                    CameraMode(width=1280, height=720, fps=5, format_native=3,                                      
+                    format_name='YUY2', supported=False), CameraMode(width=1024, height=768,                        
+                    fps=10, format_native=3, format_name='YUY2', supported=False),                                  
+                    CameraMode(width=1024, height=768, fps=5, format_native=3,                                      
+                    format_name='YUY2', supported=False), CameraMode(width=800, height=600,                         
+                    fps=20, format_native=3, format_name='YUY2', supported=False),                                  
+                    CameraMode(width=800, height=600, fps=15, format_native=3,                                      
+                    format_name='YUY2', supported=False), CameraMode(width=800, height=600,                         
+                    fps=10, format_native=3, format_name='YUY2', supported=False),                                  
+                    CameraMode(width=800, height=600, fps=5, format_native=3,                                       
+                    format_name='YUY2', supported=False), CameraMode(width=640, height=480,                         
+                    fps=30, format_native=3, format_name='YUY2', supported=False),                                  
+                    CameraMode(width=640, height=480, fps=25, format_native=3,                                      
+                    format_name='YUY2', supported=False), CameraMode(width=640, height=480,                         
+                    fps=20, format_native=3, format_name='YUY2', supported=False),                                  
+                    CameraMode(width=640, height=480, fps=15, format_native=3,                                      
+                    format_name='YUY2', supported=False), CameraMode(width=640, height=480,                         
+                    fps=10, format_native=3, format_name='YUY2', supported=False),                                  
+                    CameraMode(width=640, height=480, fps=5, format_native=3,                                       
+                    format_name='YUY2', supported=False), CameraMode(width=320, height=240,                         
+                    fps=30, format_native=3, format_name='YUY2', supported=False),                                  
+                    CameraMode(width=320, height=240, fps=25, format_native=3,                                      
+                    format_name='YUY2', supported=False), CameraMode(width=320, height=240,                         
+                    fps=20, format_native=3, format_name='YUY2', supported=False),                                  
+                    CameraMode(width=320, height=240, fps=15, format_native=3,                                      
+                    format_name='YUY2', supported=False), CameraMode(width=320, height=240,                         
+                    fps=10, format_native=3, format_name='YUY2', supported=False),                                  
+                    CameraMode(width=320, height=240, fps=5, format_native=3,                                       
+                    format_name='YUY2', supported=False)]                                                           
+[11:11:56] DEBUG    Adding "Auto Exposure Mode" control.                                        test_pyuvc_ex2.py:69
+           DEBUG    Adding "Absolute Exposure Time" control.                                    test_pyuvc_ex2.py:69
+           DEBUG    Adding "Auto Focus" control.                                                test_pyuvc_ex2.py:69
+           DEBUG    Adding "Absolute Focus" control.                                            test_pyuvc_ex2.py:69
+           DEBUG    Adding "Zoom absolute control" control.                                     test_pyuvc_ex2.py:69
+           DEBUG    Adding "Pan control" control.                                               test_pyuvc_ex2.py:69
+           DEBUG    Adding "Tilt control" control.                                              test_pyuvc_ex2.py:69
+libusb: warning [darwin_transfer_status] transfer error: device not responding (value = 0xe00002ed)
+           DEBUG    Could not init Tilt control control!                                        test_pyuvc_ex2.py:69
+           DEBUG    Control info: {'display_name': 'Tilt control', 'unit': 'input_terminal',    test_pyuvc_ex2.py:69
+                    'control_id': 13, 'bit_mask': 2048, 'offset': 4, 'data_len': 4,                                 
+                    'buffer_len': 8, 'min_val': None, 'max_val': None, 'step': None, 'def_val':                     
+                    None, 'd_type': <class 'int'>, 'doc': 'Tilt (Absolute) Control.',                               
+                    'unit_id': 1}                                                                                   
+           DEBUG    Traceback (most recent call last):                                          test_pyuvc_ex2.py:69
+                      File "uvc_bindings.pyx", line 779, in                                                         
+                    uvc_bindings.Capture._enumerate_controls                                                        
+                      File "../../../pyuvc-source/controls.pxi", line 625, in                                       
+                    uvc_bindings.Control.__init__                                                                   
+                      File "../../../pyuvc-source/controls.pxi", line 660, in                                       
+                    uvc_bindings.Control._uvc_get                                                                   
+                    Exception: Error: Input/output error                                                            
+                                                                                                                    
+           DEBUG    Adding "Backlight Compensation" control.                                    test_pyuvc_ex2.py:69
+           DEBUG    Adding "Brightness" control.                                                test_pyuvc_ex2.py:69
+           DEBUG    Adding "Contrast" control.                                                  test_pyuvc_ex2.py:69
+           DEBUG    Adding "Gain" control.                                                      test_pyuvc_ex2.py:69
+           DEBUG    Adding "Power Line frequency" control.                                      test_pyuvc_ex2.py:69
+           DEBUG    Adding "Hue" control.                                                       test_pyuvc_ex2.py:69
+           DEBUG    Adding "Saturation" control.                                                test_pyuvc_ex2.py:69
+           DEBUG    Adding "Sharpness" control.                                                 test_pyuvc_ex2.py:69
+           DEBUG    Adding "Gamma" control.                                                     test_pyuvc_ex2.py:69
+           DEBUG    Adding "White Balance temperature" control.                                 test_pyuvc_ex2.py:69
+           DEBUG    Adding "White Balance temperature,Auto" control.                            test_pyuvc_ex2.py:69
+           DEBUG    Setting mode: CameraMode(width=1280, height=720, fps=30, format_native=7,   test_pyuvc_ex2.py:73
+                    format_name='MJPG', supported=True)                                                             
+           DEBUG    Negotiated frame format: {'bmHint': 1, 'bFormatIndex': 1, 'bFrameIndex': 7, test_pyuvc_ex2.py:73
+                    'dwFrameInterval': 333333, 'wKeyFrameRate': 0, 'wPFrameRate': 0,                                
+                    'wCompQuality': 47, 'wCompWindowSize': 0, 'wDelay': 0,                                          
+                    'dwMaxVideoFrameSize': 1843200, 'dwMaxPayloadTransferSize': 3060,                               
+                    'dwClockFrequency': 48000000, 'bmFramingInfo': 0, 'bPreferredVersion': 0,                       
+                    'bMinVersion': 0, 'bMaxVersion': 0, 'bInterfaceNumber': 1}                                      
+           DEBUG    Stream start.                                                               test_pyuvc_ex2.py:36
+libusb: warning [darwin_abort_transfers] aborting all transactions on interface 1 pipe 1
+libusb: warning [darwin_abort_transfers] aborting all transactions on interface 1 pipe 1
+libusb: warning [darwin_abort_transfers] aborting all transactions on interface 1 pipe 1
+libusb: warning [darwin_abort_transfers] aborting all transactions on interface 1 pipe 1
+libusb: warning [darwin_abort_transfers] aborting all transactions on interface 1 pipe 1
+libusb: warning [darwin_abort_transfers] aborting all transactions on interface 1 pipe 1
+libusb: warning [darwin_abort_transfers] aborting all transactions on interface 1 pipe 1
+libusb: warning [darwin_abort_transfers] aborting all transactions on interface 1 pipe 1
+libusb: warning [darwin_abort_transfers] aborting all transactions on interface 1 pipe 1
+libusb: warning [darwin_abort_transfers] aborting all transactions on interface 1 pipe 1
+libusb: warning [darwin_abort_transfers] aborting all transactions on interface 1 pipe 1
+libusb: warning [darwin_abort_transfers] aborting all transactions on interface 1 pipe 1
+libusb: warning [darwin_abort_transfers] aborting all transactions on interface 1 pipe 1
+libusb: warning [darwin_abort_transfers] aborting all transactions on interface 1 pipe 1
+libusb: warning [darwin_abort_transfers] aborting all transactions on interface 1 pipe 1
+libusb: warning [darwin_abort_transfers] aborting all transactions on interface 1 pipe 1
+libusb: warning [darwin_abort_transfers] aborting all transactions on interface 1 pipe 1
+libusb: warning [darwin_abort_transfers] aborting all transactions on interface 1 pipe 1
+libusb: warning [darwin_abort_transfers] aborting all transactions on interface 1 pipe 1
+libusb: warning [darwin_abort_transfers] aborting all transactions on interface 1 pipe 1
+libusb: warning [darwin_abort_transfers] aborting all transactions on interface 1 pipe 1
+libusb: warning [darwin_abort_transfers] aborting all transactions on interface 1 pipe 1
+libusb: warning [darwin_abort_transfers] aborting all transactions on interface 1 pipe 1
+libusb: warning [darwin_abort_transfers] aborting all transactions on interface 1 pipe 1
+libusb: warning [darwin_abort_transfers] aborting all transactions on interface 1 pipe 1
+libusb: warning [darwin_abort_transfers] aborting all transactions on interface 1 pipe 1
+libusb: warning [darwin_abort_transfers] aborting all transactions on interface 1 pipe 1
+libusb: warning [darwin_abort_transfers] aborting all transactions on interface 1 pipe 1
+libusb: warning [darwin_abort_transfers] aborting all transactions on interface 1 pipe 1
+libusb: warning [darwin_abort_transfers] aborting all transactions on interface 1 pipe 1
+libusb: warning [darwin_abort_transfers] aborting all transactions on interface 1 pipe 1
+libusb: warning [darwin_abort_transfers] aborting all transactions on interface 1 pipe 1
+libusb: warning [darwin_abort_transfers] aborting all transactions on interface 1 pipe 1
+libusb: warning [darwin_abort_transfers] aborting all transactions on interface 1 pipe 1
+libusb: warning [darwin_abort_transfers] aborting all transactions on interface 1 pipe 1
+libusb: warning [darwin_abort_transfers] aborting all transactions on interface 1 pipe 1
+libusb: warning [darwin_abort_transfers] aborting all transactions on interface 1 pipe 1
+libusb: warning [darwin_abort_transfers] aborting all transactions on interface 1 pipe 1
+libusb: warning [darwin_abort_transfers] aborting all transactions on interface 1 pipe 1
+[11:13:41] DEBUG    Stream stopped                                                              test_pyuvc_ex2.py:61
+           DEBUG    Stream closed                                                               test_pyuvc_ex2.py:61
+           DEBUG    Stream stop.                                                                test_pyuvc_ex2.py:61
+libusb: error [do_close] Device handle closed while transfer was still being processed, but the device is still connected as far as we know
+libusb: error [do_close] A cancellation hasn't even been scheduled on the transfer for which the device is closing
+[11:13:42] DEBUG    UVC device closed.         

pyproject.toml

@@ -0,0 +1,51 @@
+[project]
+name = "duck-preview"
+version = "0.1.0"
+description = "Realtime camera preview application with telemetry"
+requires-python = ">=3.12"
+dependencies = [
+    "PySide6>=6.7",
+    "psutil>=6.0",
+]
+
+[project.optional-dependencies]
+# Install inference support: pip install -e ".[inference]"
+# or: pip install ultralytics numpy
+inference = [
+    "ultralytics>=8.0",
+    "numpy>=1.24",
+]
+
+[project.scripts]
+duck-preview = "app.main:main"
+
+[tool.pytest.ini_options]
+testpaths = ["tests"]
+python_files = ["test_*.py"]
+python_functions = ["test_*"]
+addopts = "-v"
+
+[tool.ruff]
+target-version = "py312"
+line-length = 100
+
+[tool.ruff.lint]
+select = [
+    "E",   # pycodestyle errors
+    "W",   # pycodestyle warnings
+    "F",   # pyflakes
+    "I",   # isort
+    "UP",  # pyupgrade
+    "B",   # flake8-bugbear
+    "N",   # pep8-naming
+]
+ignore = [
+    "B008",  # do not perform function calls in default arguments
+]
+
+[tool.ruff.lint.isort]
+known-first-party = ["app"]
+
+[tool.ruff.format]
+quote-style = "double"
+indent-style = "space"

requirements-dev.txt

@@ -0,0 +1,3 @@
+-r requirements.txt
+pytest>=8.0
+ruff>=0.4

requirements-uvc.txt

@@ -0,0 +1,7 @@
+numpy==2.4.4
+psutil==7.2.2
+pupil_labs_uvc==1.0.0b7
+PySide6==6.11.1
+PySide6_Addons==6.11.1
+PySide6_Essentials==6.11.1
+shiboken6==6.11.1

requirements-yolo.txt

@@ -0,0 +1,38 @@
+certifi==2026.4.22
+charset-normalizer==3.4.7
+contourpy==1.3.3
+cycler==0.12.1
+filelock==3.29.0
+fonttools==4.62.1
+fsspec==2026.4.0
+idna==3.15
+Jinja2==3.1.6
+kiwisolver==1.5.0
+MarkupSafe==3.0.3
+matplotlib==3.10.9
+mpmath==1.3.0
+networkx==3.6.1
+numpy==1.26.4
+opencv-python==4.10.0.84
+packaging==26.2
+pillow==12.2.0
+polars==1.40.1
+polars-runtime-32==1.40.1
+psutil==7.2.2
+pyparsing==3.3.2
+PySide6==6.11.1
+PySide6_Addons==6.11.1
+PySide6_Essentials==6.11.1
+python-dateutil==2.9.0.post0
+PyYAML==6.0.3
+requests==2.34.1
+scipy==1.17.1
+shiboken6==6.11.1
+six==1.17.0
+sympy==1.14.0
+torch==2.2.2
+torchvision==0.17.2
+typing_extensions==4.15.0
+ultralytics==8.4.50
+ultralytics-thop==2.0.19
+urllib3==2.7.0

requirements.txt

@@ -0,0 +1,2 @@
+PySide6>=6.7
+psutil>=6.0

test_opencv.py

@@ -0,0 +1,140 @@
+import cv2
+import time
+import sys
+
+# =========================
+# Otwieranie kamery
+# =========================
+cap = cv2.VideoCapture(0,  cv2.CAP_AVFOUNDATION)
+
+# Na macOS warto wymusić AVFoundation
+# cap = cv2.VideoCapture(0, cv2.CAP_AVFOUNDATION)
+
+if not cap.isOpened():
+    print("Nie można otworzyć kamery")
+    exit()
+
+ret, frame = cap.read()
+if not ret:
+    print("nie ma obrazu")
+    cap.release()
+    cv2.destroyAllWindows()
+    sys.exit(0)
+
+print(f"{cap.get(cv2.CAP_PROP_BRIGHTNESS)}")
+print(f"{cap.get(cv2.CAP_PROP_CONTRAST)}")
+print(f"{cap.get(cv2.CAP_PROP_SATURATION)}")
+print(f"{cap.get(cv2.CAP_PROP_HUE)}")
+print(f"{cap.get(cv2.CAP_PROP_GAIN)}")
+
+print(f"{cap.set(cv2.CAP_PROP_FRAME_WIDTH, 1280)}")
+print(f"{cap.set(cv2.CAP_PROP_FRAME_HEIGHT, 720)}")
+print(f"{cap.set(cv2.CAP_PROP_AUTO_EXPOSURE, 0.25)}")
+time.sleep(0.5)
+print(f"{cap.set(cv2.CAP_PROP_EXPOSURE, -1)}")
+
+# =========================
+# Lista parametrów OpenCV
+# =========================
+camera_props = {
+    "BRIGHTNESS": cv2.CAP_PROP_BRIGHTNESS,
+    "CONTRAST": cv2.CAP_PROP_CONTRAST,
+    "SATURATION": cv2.CAP_PROP_SATURATION,
+    "HUE": cv2.CAP_PROP_HUE,
+    "GAIN": cv2.CAP_PROP_GAIN,
+    "EXPOSURE": cv2.CAP_PROP_EXPOSURE,
+    "SHARPNESS": getattr(cv2, "CAP_PROP_SHARPNESS", -1),
+    "GAMMA": getattr(cv2, "CAP_PROP_GAMMA", -1),
+    "AUTO_EXPOSURE": getattr(cv2, "CAP_PROP_AUTO_EXPOSURE", -1),
+    "WB_TEMPERATURE": getattr(cv2, "CAP_PROP_WB_TEMPERATURE", -1),
+}
+
+# =========================
+# Okno i suwaki
+# =========================
+cv2.namedWindow("camera")
+
+def nothing(x):
+    pass
+
+# Zakresy są orientacyjne
+cv2.createTrackbar("brightness", "camera", 128, 255, nothing)
+cv2.createTrackbar("contrast", "camera", 128, 255, nothing)
+cv2.createTrackbar("saturation", "camera", 128, 255, nothing)
+cv2.createTrackbar("hue", "camera", 128, 255, nothing)
+cv2.createTrackbar("gain", "camera", 0, 255, nothing)
+cv2.createTrackbar("exposure", "camera", 0, 255, nothing)
+
+# =========================
+# Pętla główna
+# =========================
+while True:
+
+    try:
+        # Odczyt suwaków
+        brightness = cv2.getTrackbarPos("brightness", "camera")
+        contrast = cv2.getTrackbarPos("contrast", "camera")
+        saturation = cv2.getTrackbarPos("saturation", "camera")
+        hue = cv2.getTrackbarPos("hue", "camera")
+        gain = cv2.getTrackbarPos("gain", "camera")
+        exposure = cv2.getTrackbarPos("exposure", "camera")
+
+        # Ustawianie parametrów
+        print(f"{cap.set(cv2.CAP_PROP_BRIGHTNESS, brightness / 255.0)}")
+        print(f"{cap.set(cv2.CAP_PROP_CONTRAST, contrast / 255.0)}")
+        print(f"{cap.set(cv2.CAP_PROP_SATURATION, saturation / 255.0)}")
+        print(f"{cap.set(cv2.CAP_PROP_HUE, hue / 255.0)}")
+        print(f"{cap.set(cv2.CAP_PROP_GAIN, gain / 255.0)}")
+
+        # Exposure często wymaga innych wartości
+        # cap.set(cv2.CAP_PROP_EXPOSURE, float(exposure))
+
+        # Odczyt klatki
+        ret, frame = cap.read()
+
+        if not ret:
+            print("Błąd odczytu obrazu")
+            break
+
+        # Wyświetlanie aktualnych wartości REALNIE ustawionych
+        y = 20
+        for name, prop in camera_props.items():
+
+            if prop == -1:
+                continue
+
+            value = cap.get(prop)
+
+            text = f"{name}: {value:.3f}"
+
+            cv2.putText(
+                frame,
+                text,
+                (10, y),
+                cv2.FONT_HERSHEY_SIMPLEX,
+                0.5,
+                (0, 255, 0),
+                1
+            )
+
+            y += 20
+
+        cv2.imshow("camera", frame)
+
+        key = cv2.waitKey(1)
+
+        # ESC kończy
+        if key == 27:
+            break
+    except Exception:
+        print(f"exp:")
+    finally:
+        cap.release()
+        cv2.destroyAllWindows()
+
+
+# =========================
+# Sprzątanie
+# =========================
+cap.release()
+cv2.destroyAllWindows()

test_pyuvc.py

@@ -0,0 +1,21 @@
+import uvc
+
+# W Twojej wersji używamy bezpośrednio device_list()
+devices = uvc.device_list()
+print(f"Znalezione urządzenia: {devices}")
+
+if devices:
+    try:
+        # Otwarcie pierwszego urządzenia z listy
+        # Często wymaga przekazania indeksu lub obiektu z listy
+        cap = uvc.Capture(devices[0]['uid']) 
+        print(f"Połączono z: {cap.name}")
+        
+        # Opcjonalnie: sprawdzenie czy działa
+        print(f"Dostępne tryby: {cap.available_modes}")
+        
+        cap.close()
+    except Exception as e:
+        print(f"Błąd podczas otwierania kamery: {e}")
+else:
+    print("Lista urządzeń jest pusta. Sprawdź podłączenie kamery.")

test_pyuvc_ex1.py

@@ -0,0 +1,48 @@
+import logging
+
+from rich import print
+from rich.logging import RichHandler
+
+
+def main():
+    import uvc
+
+    devices = uvc.device_list()
+    print("Available devices", devices)
+
+    for device in devices:
+
+        try:
+            cap = uvc.Capture(device["uid"])
+        except uvc.DeviceNotFoundError:
+            continue
+
+        print(f"{cap.name}")
+
+        print("Available modes:")
+        for mode in cap.available_modes:
+            print(
+                f"MODE: {mode.width} x {mode.height} @ {mode.fps} ({mode.format_name})"
+            )
+
+        print("Iterating over frame sizes and rates")
+        for res in cap.frame_sizes:
+            cap.frame_size = res
+            for rate in cap.frame_rates:
+                cap.frame_rate = rate
+                print(f"RES/RATE: {res[0]} x {res[1]} @ {rate} Hz")
+
+        cap.close()
+
+
+if __name__ == "__main__":
+    # import os
+    # os.environ["LIBUSB_DEBUG"] = "0"
+
+    logging.basicConfig(
+        level=logging.NOTSET,
+        handlers=[RichHandler(level="WARNING")],
+        format="%(message)s",
+        datefmt="[%X]",
+    )
+    main()

test_pyuvc_ex2.py

@@ -0,0 +1,103 @@
+import logging
+import os
+import time
+from typing import Iterable, NamedTuple, Optional
+
+import cv2
+import uvc.uvc_bindings as uvc
+from rich.logging import RichHandler
+from rich.traceback import install as install_rich_traceback
+
+
+class CameraSpec(NamedTuple):
+    name: str
+    width: int
+    height: int
+    fps: int
+    bandwidth_factor: float = 2.0
+
+
+def main(camera_specs: Iterable[CameraSpec]):
+    devices = uvc.device_list()
+    cameras = {spec: init_camera_from_list(devices, spec) for spec in camera_specs}
+    if not all(cameras.values()):
+        raise RuntimeError(
+            "Could not initialize all specified cameras. Available: "
+            f"{[dev['name'] for dev in devices]}"
+        )
+
+    try:
+        keep_running = True
+        last_update = time.perf_counter()
+
+        while keep_running:
+            for spec, cam in cameras.items():
+                try:
+                    frame = cam.get_frame(timeout=0.001)
+                except TimeoutError:
+                    pass
+                    # keep_running = False
+                    # break
+                except uvc.InitError as err:
+                    logging.debug(f"Failed to init {spec}: {err}")
+                    keep_running = False
+                    break
+                except uvc.StreamError as err:
+                    logging.debug(f"Failed to get a frame for {spec}: {err}")
+                else:
+                    data = frame.bgr if hasattr(frame, "bgr") else frame.gray
+                    if frame.data_fully_received:
+                        cv2.imshow(spec.name, data)
+
+            if (time.perf_counter() - last_update) > 1 / 60:
+                if cv2.waitKey(1) & 0xFF == 27:
+                    break
+                last_update = time.perf_counter()
+
+    except KeyboardInterrupt:
+        pass
+
+    for cam in cameras.values():
+        cam.close()
+
+
+def init_camera_from_list(devices, camera: CameraSpec) -> Optional[uvc.Capture]:
+    logging.debug(f"Searching {camera}...")
+    for device in devices:
+        if device["name"] == camera.name:
+            logging.debug(f"Found match by name")
+            capture = uvc.Capture(device["uid"])
+            capture.bandwidth_factor = camera.bandwidth_factor
+            for mode in capture.available_modes:
+                if mode[:3] == camera[1:4]:  # compare width, height, fps
+                    capture.frame_mode = mode
+                    return capture
+            else:
+                logging.warning(
+                    f"None of the available modes matched: {capture.available_modes}"
+                )
+            capture.close()
+    else:
+        logging.warning(f"No matching camera with name {camera.name!r} found")
+
+
+if __name__ == "__main__":
+    os.environ["LIBUSB_DEBUG"] = "3"
+    install_rich_traceback()
+    logging.basicConfig(
+        level=logging.NOTSET,
+        handlers=[RichHandler(level="DEBUG")],
+        format="%(message)s",
+        datefmt="[%X]",
+    )
+    # logging.getLogger("uvc").setLevel("INFO")
+    main(
+        [
+            CameraSpec(
+                name="HD USB CAMERA",
+                width=1280,
+                height=720,
+                fps=30
+            )
+        ]
+    )

test_qcamera.py

@@ -0,0 +1,363 @@
+import sys
+import logging
+from pathlib import Path
+
+from PySide6.QtCore import Qt, QTimer
+from PySide6.QtGui import QAction
+from PySide6.QtWidgets import QApplication, QMainWindow, QLabel
+from PySide6.QtMultimedia import (
+    QMediaDevices,
+    QCamera,
+    QCameraDevice,
+    QMediaFormat,
+    QVideoFrameFormat,
+    QMediaCaptureSession
+)
+from PySide6.QtMultimediaWidgets import QVideoWidget
+
+
+# ============================================================
+# LOGGER
+# ============================================================
+
+LOG_DIR = Path("logs")
+LOG_DIR.mkdir(exist_ok=True)
+
+logging.basicConfig(
+    level=logging.DEBUG,
+    format="%(asctime)s [%(levelname)s] %(message)s",
+    handlers=[
+        logging.FileHandler(LOG_DIR / "camera_debug.log", encoding="utf-8"),
+        logging.StreamHandler(sys.stdout),
+    ],
+)
+
+logger = logging.getLogger("camera_app")
+
+
+# ============================================================
+# CAMERA WINDOW
+# ============================================================
+
+class CameraWindow(QMainWindow):
+
+    def __init__(self):
+        super().__init__()
+
+        self.setWindowTitle("Camera Preview")
+
+        # Widget wyświetlający wyłącznie obraz
+        self.video_widget = QVideoWidget()
+        self.setCentralWidget(self.video_widget)
+
+        self.camera = None
+        self.camera_device = None
+        self.capture_session = QMediaCaptureSession()
+
+        self.init_camera()
+
+    # ========================================================
+    # CAMERA INIT
+    # ========================================================
+
+    def init_camera(self):
+
+        devices = QMediaDevices.videoInputs()
+
+        logger.info("==========================================")
+        logger.info("VIDEO DEVICES ENUMERATION")
+        logger.info("==========================================")
+
+        if not devices:
+            logger.error("Nie znaleziono kamer.")
+            return
+
+        for idx, device in enumerate(devices):
+            self.log_camera_device(device, idx)
+
+        # wybór pierwszej kamery
+        self.camera_device = devices[0]
+
+        logger.info(f"Wybrano kamerę: {self.camera_device.description()}")
+
+        self.camera = QCamera(self.camera_device)
+
+        # sygnały
+        self.camera.errorOccurred.connect(self.on_camera_error)
+        self.camera.activeChanged.connect(self.on_active_changed)
+
+        # video sink
+        # self.camera.setVideoOutput(self.video_widget)
+        self.capture_session.setCamera(self.camera)
+        self.capture_session.setVideoOutput(self.video_widget)
+
+        # przykładowe ustawienia
+        self.set_camera_format(
+            width=1280,
+            height=720,
+            fps=30,
+            preferred_pixel_format=QVideoFrameFormat.PixelFormat.Format_Jpeg
+        )
+
+        self.log_runtime_camera_capabilities()
+
+        self.camera.start()
+
+        logger.info("Kamera uruchomiona.")
+
+    # ========================================================
+    # FORMAT SELECTION
+    # ========================================================
+    def set_camera_format(
+        self,
+        width: int,
+        height: int,
+        fps: int,
+        preferred_pixel_format=QVideoFrameFormat.PixelFormat.Format_Jpeg,
+    ):
+    # def set_camera_format(self, width: int, height: int, fps: int):
+        """
+        Prototyp funkcji ustawiającej:
+        - rozdzielczość
+        - FPS
+
+        Wybiera najbliższy pasujący format.
+        """
+
+        logger.info(
+            f"Próba ustawienia formatu: {width}x{height} @ {fps} FPS"
+        )
+
+        best_match = None
+
+        for fmt in self.camera_device.videoFormats():
+
+            resolution = fmt.resolution()
+            min_fps = fmt.minFrameRate()
+            max_fps = fmt.maxFrameRate()
+            pixel_format = fmt.pixelFormat()
+
+            logger.debug(
+                f"Sprawdzam format -> "
+                f"{resolution.width()}x{resolution.height()} "
+                f"FPS:{min_fps}-{max_fps} "
+                f"PIX:{pixel_format}"
+            )
+
+            if (
+                resolution.width() == width
+                and resolution.height() == height
+                and min_fps <= fps <= max_fps
+                and pixel_format == preferred_pixel_format
+            ):
+                best_match = fmt
+                break
+
+        if best_match:
+            self.camera.setCameraFormat(best_match)
+
+            logger.info("Ustawiono format kamery:")
+            logger.info(
+                f"Resolution: "
+                f"{best_match.resolution().width()}x"
+                f"{best_match.resolution().height()}"
+            )
+            logger.info(
+                f"FPS range: "
+                f"{best_match.minFrameRate()} - "
+                f"{best_match.maxFrameRate()}"
+            )
+            logger.info(
+                f"Pixel format: {best_match.pixelFormat()}"
+            )
+
+        else:
+            logger.warning("Nie znaleziono pasującego formatu.")
+
+    # ========================================================
+    # DEVICE LOGGER
+    # ========================================================
+
+    def log_camera_device(self, device: QCameraDevice, idx: int):
+
+        logger.info("------------------------------------------")
+        logger.info(f"KAMERA #{idx}")
+        logger.info("------------------------------------------")
+
+        logger.info(f"Description: {device.description()}")
+        logger.info(f"ID: {device.id().data().decode(errors='ignore')}")
+
+        try:
+            logger.info(f"Is default: {device.isDefault()}")
+        except Exception as e:
+            logger.warning(f"isDefault() unsupported: {e}")
+
+        formats = device.videoFormats()
+
+        logger.info(f"Liczba formatów: {len(formats)}")
+
+        for i, fmt in enumerate(formats):
+
+            resolution = fmt.resolution()
+
+            logger.info(f"")
+            logger.info(f"FORMAT #{i}")
+
+            logger.info(
+                f"Resolution: "
+                f"{resolution.width()}x{resolution.height()}"
+            )
+
+            logger.info(
+                f"FPS min/max: "
+                f"{fmt.minFrameRate()} / {fmt.maxFrameRate()}"
+            )
+
+            logger.info(
+                f"Pixel format enum: {fmt.pixelFormat()}"
+            )
+
+            logger.info(
+                f"Pixel format name: "
+                f"{self.pixel_format_to_string(fmt.pixelFormat())}"
+            )
+
+    # ========================================================
+    # RUNTIME CAMERA CAPABILITIES
+    # ========================================================
+
+    def log_runtime_camera_capabilities(self):
+
+        logger.info("")
+        logger.info("==========================================")
+        logger.info("QCAMERA RUNTIME CAPABILITIES")
+        logger.info("==========================================")
+
+        try:
+            logger.info(f"Camera active: {self.camera.isActive()}")
+        except Exception as e:
+            logger.warning(e)
+
+        # Dostępne w zależności od backendu/platformy
+        properties = [
+            "focusMode",
+            "exposureMode",
+            "whiteBalanceMode",
+            "flashMode",
+            "torchMode",
+        ]
+
+        for prop in properties:
+
+            try:
+                value = getattr(self.camera, prop)()
+                logger.info(f"{prop}: {value}")
+
+            except Exception as e:
+                logger.warning(f"{prop} unsupported: {e}")
+
+        # backend/platform info
+        logger.info("")
+        logger.info("QT MULTIMEDIA INFO")
+
+        try:
+            logger.info(f"Qt version: {QApplication.qtVersion()}")
+        except Exception:
+            pass
+
+        logger.info(
+            "Backend zależy od platformy:"
+        )
+        logger.info(
+            "- Windows -> MediaFoundation"
+        )
+        logger.info(
+            "- Linux -> GStreamer / PipeWire / V4L2"
+        )
+        logger.info(
+            "- macOS -> AVFoundation"
+        )
+
+    # ========================================================
+    # PIXEL FORMAT NAME
+    # ========================================================
+
+    def pixel_format_to_string(self, pixel_format):
+
+        mapping = {
+            QVideoFrameFormat.PixelFormat.Format_YUV420P: "YUV420P",
+            QVideoFrameFormat.PixelFormat.Format_NV12: "NV12",
+            QVideoFrameFormat.PixelFormat.Format_NV21: "NV21",
+            QVideoFrameFormat.PixelFormat.Format_UYVY: "UYVY",
+            QVideoFrameFormat.PixelFormat.Format_YUYV: "YUYV",
+            QVideoFrameFormat.PixelFormat.Format_Jpeg: "MJPG/JPEG",
+        }
+
+        return mapping.get(pixel_format, str(pixel_format))
+
+    # ========================================================
+    # SIGNALS
+    # ========================================================
+
+    def on_camera_error(self, error, error_string):
+        logger.error(f"CAMERA ERROR: {error}")
+        logger.error(f"ERROR STRING: {error_string}")
+
+    def on_active_changed(self, active):
+        logger.info(f"Camera active changed: {active}")
+
+    # ========================================================
+    # CLEANUP
+    # ========================================================
+
+    # def closeEvent(self, event):
+
+    #     logger.info("Zamykanie aplikacji.")
+
+    #     if self.camera:
+    #         self.camera.stop()
+
+    #     super().closeEvent(event)
+
+    def closeEvent(self, event):
+
+        logger.info("Zamykanie aplikacji.")
+
+        try:
+            if self.camera:
+                logger.info("Stopping camera...")
+                self.camera.stop()
+
+            if self.capture_session:
+                logger.info("Detaching camera from capture session...")
+                self.capture_session.setCamera(None)
+                self.capture_session.setVideoOutput(None)
+
+        except Exception as e:
+            logger.exception(e)
+
+        super().closeEvent(event)
+
+# ============================================================
+# MAIN
+# ============================================================
+
+def main():
+
+    app = QApplication(sys.argv)
+
+    window = CameraWindow()
+
+    # tylko obraz
+    window.resize(1280, 720)
+
+    # fullscreen:
+    # window.showFullScreen()
+
+    window.show()
+
+    sys.exit(app.exec())
+
+
+if __name__ == "__main__":
+    main()

tests/test_bbox_overlay.py

@@ -0,0 +1,180 @@
+"""Tests for BboxOverlay — coordinate mapping and state management."""
+
+from __future__ import annotations
+
+from unittest.mock import MagicMock
+
+import pytest
+from PySide6.QtCore import QRect, QSize
+
+from app.inference.bbox_overlay import BboxOverlay, Detection
+
+
+class TestDetection:
+    def test_namedtuple_fields(self) -> None:
+        d = Detection(x1=10.0, y1=20.0, x2=100.0, y2=200.0, conf=0.87, label="label")
+        assert d.x1 == 10.0
+        assert d.label == "label"
+        assert d.conf == pytest.approx(0.87)
+
+    def test_immutable(self) -> None:
+        d = Detection(0, 0, 1, 1, 0.5, "x")
+        with pytest.raises(AttributeError):
+            d.conf = 0.9  # type: ignore[misc]
+
+
+class TestBboxOverlayState:
+    def setup_method(self) -> None:
+        self.overlay = BboxOverlay()
+
+    def test_initially_no_detections(self) -> None:
+        assert self.overlay._detections == []
+
+    def test_initially_source_size_empty(self) -> None:
+        assert self.overlay._source_size.isEmpty()
+
+    def test_on_detections_stores_data(self) -> None:
+        dets = [Detection(0, 0, 100, 100, 0.9, "label")]
+        self.overlay.on_detections(dets, (640, 480))
+        assert self.overlay._detections == dets
+        assert self.overlay._source_size == QSize(640, 480)
+
+    def test_clear_removes_detections(self) -> None:
+        self.overlay.on_detections([Detection(0, 0, 10, 10, 0.5, "x")], (100, 100))
+        self.overlay.clear()
+        assert self.overlay._detections == []
+
+    def test_visible_by_default(self) -> None:
+        assert self.overlay.visible is True
+
+    def test_multiple_detections_stored(self) -> None:
+        dets = [
+            Detection(0, 0, 50, 50, 0.9, "label"),
+            Detection(100, 100, 200, 200, 0.75, "label"),
+        ]
+        self.overlay.on_detections(dets, (640, 480))
+        assert len(self.overlay._detections) == 2
+
+    def test_replace_detections_on_new_call(self) -> None:
+        self.overlay.on_detections([Detection(0, 0, 10, 10, 0.5, "x")], (100, 100))
+        self.overlay.on_detections([], (100, 100))
+        assert self.overlay._detections == []
+
+
+class TestBboxOverlayCoordinateMapping:
+    """
+    Verify that BboxOverlay correctly maps source-frame pixel coordinates
+    onto the letterboxed video_rect when painting.
+
+    We don't test actual QPainter output — instead we verify that the
+    QRect values passed to painter.drawRect() correspond to the expected
+    scaled coordinates.
+    """
+
+    def setup_method(self) -> None:
+        self.overlay = BboxOverlay()
+
+    def _make_painter_mock(self):
+        painter = MagicMock()
+        fm = MagicMock()
+        fm.height.return_value = 14
+        fm.ascent.return_value = 11
+        fm.horizontalAdvance.return_value = 60
+        painter.fontMetrics.return_value = fm
+        return painter
+
+    def test_paint_skips_when_no_detections(self) -> None:
+        painter = self._make_painter_mock()
+        self.overlay.paint(painter, QRect(0, 0, 640, 480))
+        painter.drawRect.assert_not_called()
+
+    def test_paint_skips_when_source_size_empty(self) -> None:
+        # detections present but source_size not set
+        self.overlay._detections = [Detection(0, 0, 100, 100, 0.9, "label")]
+        painter = self._make_painter_mock()
+        self.overlay.paint(painter, QRect(0, 0, 640, 480))
+        painter.drawRect.assert_not_called()
+
+    def test_bbox_scaled_to_full_video_rect(self) -> None:
+        """
+        Source: 640×480, covers full frame.
+        video_rect: 640×480 at origin.
+        Detection: full-frame box → should map 1:1.
+        """
+        self.overlay.on_detections(
+            [Detection(0.0, 0.0, 640.0, 480.0, 0.99, "label")],
+            (640, 480),
+        )
+        painter = self._make_painter_mock()
+        video_rect = QRect(0, 0, 640, 480)
+        self.overlay.paint(painter, video_rect)
+
+        # First drawRect call = the bounding box
+        first_call_rect: QRect = painter.drawRect.call_args_list[0][0][0]
+        assert first_call_rect.x() == 0
+        assert first_call_rect.y() == 0
+        assert first_call_rect.width() == 640
+        assert first_call_rect.height() == 480
+
+    def test_bbox_scaled_with_half_size_video_rect(self) -> None:
+        """
+        Source: 640×480, video_rect: 320×240 at origin (0.5× scale).
+        Detection at (64, 48)→(128, 96) should map to (32, 24)→(64, 48).
+        """
+        self.overlay.on_detections(
+            [Detection(64.0, 48.0, 128.0, 96.0, 0.8, "label")],
+            (640, 480),
+        )
+        painter = self._make_painter_mock()
+        video_rect = QRect(0, 0, 320, 240)
+        self.overlay.paint(painter, video_rect)
+
+        first_call_rect: QRect = painter.drawRect.call_args_list[0][0][0]
+        assert first_call_rect.x() == 32
+        assert first_call_rect.y() == 24
+        assert first_call_rect.width() == 32   # (128-64) * 0.5
+        assert first_call_rect.height() == 24  # (96-48) * 0.5
+
+    def test_bbox_offset_by_video_rect_origin(self) -> None:
+        """
+        video_rect at (100, 50) — letterboxed with margins.
+        Detection at origin of source should map to (100, 50).
+        """
+        self.overlay.on_detections(
+            [Detection(0.0, 0.0, 100.0, 100.0, 0.9, "label")],
+            (640, 480),
+        )
+        painter = self._make_painter_mock()
+        # video_rect 320×240 starting at (100, 50)
+        video_rect = QRect(100, 50, 320, 240)
+        self.overlay.paint(painter, video_rect)
+
+        first_call_rect: QRect = painter.drawRect.call_args_list[0][0][0]
+        # x: 100 + int(0 * 320/640) = 100
+        # y:  50 + int(0 * 240/480) =  50
+        assert first_call_rect.x() == 100
+        assert first_call_rect.y() == 50
+
+
+class TestBboxOverlayWorkerPacket:
+    """Test FramePacket and ResultPacket data structures."""
+
+    def test_frame_packet_fields(self) -> None:
+        from app.inference.worker import FramePacket
+        pkt = FramePacket(
+            frame_id=1,
+            raw_bytes=b"\x00" * 12,
+            width=2,
+            height=2,
+            channels=3,
+        )
+        assert pkt.frame_id == 1
+        assert pkt.width == 2
+        assert pkt.channels == 3
+
+    def test_result_packet_fields(self) -> None:
+        from app.inference.worker import ResultPacket
+        pkt = ResultPacket(frame_id=5, detections=[], width=640, height=480)
+        assert pkt.frame_id == 5
+        assert pkt.detections == []
+        assert pkt.width == 640

tests/test_frame_dispatcher.py

@@ -0,0 +1,76 @@
+"""Tests for FrameDispatcher."""
+
+from __future__ import annotations
+
+from unittest.mock import MagicMock, patch
+
+from app.pipeline.frame_dispatcher import FrameDispatcher
+
+
+def _make_frame():
+    frame = MagicMock()
+    frame.isValid.return_value = True
+    return frame
+
+
+class TestFrameDispatcher:
+    def setup_method(self):
+        # FrameDispatcher is a QObject — needs QApplication
+        # Use minimal mock to avoid Qt dependency in unit tests
+        with patch("app.pipeline.frame_dispatcher.QObject.__init__", return_value=None):
+            self.dispatcher = FrameDispatcher.__new__(FrameDispatcher)
+            self.dispatcher._subscribers = []
+            self.dispatcher._frame_count = 0
+            self.dispatcher._last_dispatch_time = 0.0
+
+    def test_subscribe_adds_subscriber(self):
+        cb = MagicMock()
+        self.dispatcher.subscribe(cb)
+        assert self.dispatcher.subscriber_count() == 1
+
+    def test_subscribe_same_callback_twice_is_noop(self):
+        cb = MagicMock()
+        self.dispatcher.subscribe(cb)
+        self.dispatcher.subscribe(cb)
+        assert self.dispatcher.subscriber_count() == 1
+
+    def test_unsubscribe_removes_subscriber(self):
+        cb = MagicMock()
+        self.dispatcher.subscribe(cb)
+        self.dispatcher.unsubscribe(cb)
+        assert self.dispatcher.subscriber_count() == 0
+
+    def test_unsubscribe_nonexistent_does_not_raise(self):
+        cb = MagicMock()
+        self.dispatcher.unsubscribe(cb)  # should not raise
+
+    def test_dispatch_calls_all_subscribers(self):
+        cb1 = MagicMock()
+        cb2 = MagicMock()
+        self.dispatcher.subscribe(cb1)
+        self.dispatcher.subscribe(cb2)
+        frame = _make_frame()
+        self.dispatcher.dispatch(frame)
+        cb1.assert_called_once_with(frame)
+        cb2.assert_called_once_with(frame)
+
+    def test_dispatch_increments_frame_count(self):
+        frame = _make_frame()
+        self.dispatcher.dispatch(frame)
+        self.dispatcher.dispatch(frame)
+        assert self.dispatcher.frame_count == 2
+
+    def test_dispatch_with_no_subscribers_does_not_raise(self):
+        frame = _make_frame()
+        self.dispatcher.dispatch(frame)  # should not raise
+
+    def test_subscriber_exception_does_not_stop_others(self):
+        def bad_cb(f):
+            raise RuntimeError("boom")
+
+        good_cb = MagicMock()
+        self.dispatcher.subscribe(bad_cb)
+        self.dispatcher.subscribe(good_cb)
+        frame = _make_frame()
+        self.dispatcher.dispatch(frame)  # should not raise
+        good_cb.assert_called_once_with(frame)

tests/test_inference_manager.py

@@ -0,0 +1,238 @@
+"""Tests for InferenceManager — drop-if-busy, restart counter, model validation."""
+
+from __future__ import annotations
+
+import sys
+from unittest.mock import MagicMock, patch
+
+import pytest
+from PySide6.QtWidgets import QApplication
+
+from app.inference.worker_manager import InferenceManager
+
+# Ensure a QApplication exists for tests that create Qt objects
+_app = QApplication.instance() or QApplication(sys.argv)
+
+
+# ---------------------------------------------------------------------------
+# Helpers
+# ---------------------------------------------------------------------------
+
+def _make_manager() -> InferenceManager:
+    """Return an InferenceManager without starting any process."""
+    mgr = InferenceManager.__new__(InferenceManager)
+    mgr._model_path = None
+    mgr._process = None
+    mgr._input_queue = None
+    mgr._output_queue = None
+    mgr._stop_event = None
+    mgr._busy = False
+    mgr._frame_id = 0
+    mgr._restart_count = 0
+    mgr._last_result_time = 0.0
+    mgr._paused = False
+    return mgr
+
+
+# ---------------------------------------------------------------------------
+# Model path validation
+# ---------------------------------------------------------------------------
+
+class TestModelPathValidation:
+    def test_start_emits_error_for_missing_file(self, tmp_path) -> None:
+        """start() with non-existent path must NOT spawn a process."""
+        mgr = InferenceManager()
+        errors: list[str] = []
+        mgr.inference_error.connect(errors.append)
+
+        mgr.start(str(tmp_path / "nonexistent.pt"))
+
+        assert errors, "Expected inference_error signal"
+        assert mgr._process is None
+
+    def test_start_does_not_raise_for_existing_file(self, tmp_path) -> None:
+        """start() with existing file should attempt to start (we mock _start_worker)."""
+        model_file = tmp_path / "model.pt"
+        model_file.write_bytes(b"fake")
+
+        mgr = InferenceManager()
+        with patch.object(mgr, "_start_worker") as mock_start:
+            mgr.start(str(model_file))
+            mock_start.assert_called_once()
+
+
+# ---------------------------------------------------------------------------
+# Drop-if-busy logic
+# ---------------------------------------------------------------------------
+
+class TestDropIfBusy:
+    def test_submit_frame_drops_when_busy(self) -> None:
+        """submit_frame must not enqueue when _busy is True."""
+        mgr = _make_manager()
+        mgr._busy = True
+        mgr._process = MagicMock()
+        mgr._process.is_alive.return_value = True
+        mgr._input_queue = MagicMock()
+
+        frame = MagicMock()
+        frame.isValid.return_value = True
+        mgr.submit_frame(frame)
+
+        mgr._input_queue.put_nowait.assert_not_called()
+
+    def test_submit_frame_drops_when_paused(self) -> None:
+        mgr = _make_manager()
+        mgr._paused = True
+        mgr._process = MagicMock()
+        mgr._process.is_alive.return_value = True
+        mgr._input_queue = MagicMock()
+
+        frame = MagicMock()
+        frame.isValid.return_value = True
+        mgr.submit_frame(frame)
+
+        mgr._input_queue.put_nowait.assert_not_called()
+
+    def test_submit_frame_drops_when_not_running(self) -> None:
+        mgr = _make_manager()
+        mgr._process = None
+        mgr._input_queue = MagicMock()
+
+        frame = MagicMock()
+        frame.isValid.return_value = True
+        mgr.submit_frame(frame)
+
+        mgr._input_queue.put_nowait.assert_not_called()
+
+    def test_submit_frame_drops_invalid_frame(self) -> None:
+        mgr = _make_manager()
+        mgr._process = MagicMock()
+        mgr._process.is_alive.return_value = True
+        mgr._input_queue = MagicMock()
+
+        frame = MagicMock()
+        frame.isValid.return_value = False
+        mgr.submit_frame(frame)
+
+        mgr._input_queue.put_nowait.assert_not_called()
+
+
+# ---------------------------------------------------------------------------
+# Pause / resume
+# ---------------------------------------------------------------------------
+
+class TestPauseResume:
+    def test_pause_sets_flag(self) -> None:
+        mgr = _make_manager()
+        assert mgr._paused is False
+        mgr.pause()
+        assert mgr._paused is True
+
+    def test_resume_clears_flag(self) -> None:
+        mgr = _make_manager()
+        mgr.pause()
+        mgr.resume()
+        assert mgr._paused is False
+
+    def test_is_paused_property(self) -> None:
+        mgr = _make_manager()
+        assert mgr.is_paused is False
+        mgr.pause()
+        assert mgr.is_paused is True
+
+
+# ---------------------------------------------------------------------------
+# Restart counter
+# ---------------------------------------------------------------------------
+
+class TestRestartCounter:
+    def test_handle_crash_increments_counter(self) -> None:
+        mgr = InferenceManager()
+        mgr._model_path = "fake.pt"
+        mgr._restart_count = 0
+
+        with (
+            patch.object(mgr, "_start_worker"),
+            patch.object(mgr._poll_timer, "stop"),
+            patch.object(mgr._watchdog_timer, "stop"),
+        ):
+            mgr._handle_crash("test crash")
+
+        assert mgr._restart_count == 1
+
+    def test_handle_crash_emits_error_after_max_restarts(self) -> None:
+        from app.config import INFERENCE_MAX_RESTARTS
+
+        mgr = InferenceManager()
+        mgr._model_path = "fake.pt"
+        mgr._restart_count = INFERENCE_MAX_RESTARTS
+
+        errors: list[str] = []
+        mgr.inference_error.connect(errors.append)
+
+        with (
+            patch.object(mgr, "_start_worker") as mock_start,
+            patch.object(mgr._poll_timer, "stop"),
+            patch.object(mgr._watchdog_timer, "stop"),
+        ):
+            mgr._handle_crash("final crash")
+
+        assert errors, "Expected inference_error signal after max restarts"
+        mock_start.assert_not_called()
+
+    def test_stop_resets_restart_count(self) -> None:
+        mgr = InferenceManager()
+        mgr._restart_count = 2
+
+        with patch.object(mgr, "_stop_worker"):
+            mgr.stop()
+
+        assert mgr._restart_count == 0
+
+
+# ---------------------------------------------------------------------------
+# is_running property
+# ---------------------------------------------------------------------------
+
+class TestIsRunning:
+    def test_not_running_when_process_is_none(self) -> None:
+        mgr = _make_manager()
+        assert mgr.is_running is False
+
+    def test_not_running_when_process_dead(self) -> None:
+        mgr = _make_manager()
+        proc = MagicMock()
+        proc.is_alive.return_value = False
+        mgr._process = proc
+        assert mgr.is_running is False
+
+    def test_running_when_process_alive(self) -> None:
+        mgr = _make_manager()
+        proc = MagicMock()
+        proc.is_alive.return_value = True
+        mgr._process = proc
+        assert mgr.is_running is True
+
+
+# ---------------------------------------------------------------------------
+# Worker data structures
+# ---------------------------------------------------------------------------
+
+class TestWorkerDataStructures:
+    def test_frame_packet_is_immutable(self) -> None:
+        from app.inference.worker import FramePacket
+        pkt = FramePacket(1, b"", 640, 480, 3)
+        with pytest.raises(AttributeError):
+            pkt.frame_id = 2  # type: ignore[misc]
+
+    def test_result_packet_is_immutable(self) -> None:
+        from app.inference.worker import ResultPacket
+        pkt = ResultPacket(1, [], 640, 480)
+        with pytest.raises(AttributeError):
+            pkt.frame_id = 2  # type: ignore[misc]
+
+    def test_select_device_returns_string(self) -> None:
+        from app.inference.worker import _select_device
+        device = _select_device()
+        assert isinstance(device, str)
+        assert device in ("cpu", "mps", "cuda")

tests/test_telemetry_collector.py

@@ -0,0 +1,142 @@
+"""Tests for TelemetryCollector."""
+
+from __future__ import annotations
+
+import time
+from collections import deque
+from unittest.mock import MagicMock, patch
+
+
+class TestTelemetryCollector:
+    """Test telemetry calculations in isolation (no Qt event loop required)."""
+
+    def _make_collector(self, cpu_count: int = 8):
+        """Construct a TelemetryCollector bypassing Qt machinery."""
+        from app.telemetry.telemetry_collector import TelemetryCollector
+
+        with patch.object(TelemetryCollector, "__init__", return_value=None):
+            col = TelemetryCollector.__new__(TelemetryCollector)
+
+        col._frame_times = deque(maxlen=120)
+        col._last_frame_time = 0.0
+        col._total_frames = 0
+        col._dropped_frames = 0
+        col._fps_window = deque()
+        col._fps_window_size_s = 1.0
+        col._target_fps = None
+        col._cpu_count = cpu_count
+
+        col._process = MagicMock()
+        # Simulate Windows: wset takes priority over rss
+        mem_info = MagicMock()
+        mem_info.wset = 50 * 1024 * 1024   # 50 MB private working set
+        mem_info.rss = 70 * 1024 * 1024    # RSS (larger, includes shared)
+        col._process.memory_info.return_value = mem_info
+        col._process.cpu_percent.return_value = 0.0
+        # Inference stats — None by default (inference disabled)
+        col._inference_device = None
+        col._inference_time_ms = None
+        return col
+
+    def test_initial_snapshot_has_zero_fps(self):
+        col = self._make_collector()
+        snap = col._compute_snapshot()
+        assert snap.fps == 0.0
+
+    def test_fps_counts_frames_in_window(self):
+        col = self._make_collector()
+        now = time.perf_counter()
+        for i in range(30):
+            col._fps_window.append(now - 0.9 + i * 0.03)
+        snap = col._compute_snapshot()
+        assert snap.fps == 30.0
+
+    def test_fps_excludes_old_frames(self):
+        col = self._make_collector()
+        now = time.perf_counter()
+        # 10 frames older than 1 second — should not count
+        for i in range(10):
+            col._fps_window.append(now - 2.0 + i * 0.05)
+        # 5 frames within the last second
+        for i in range(5):
+            col._fps_window.append(now - 0.4 + i * 0.05)
+        snap = col._compute_snapshot()
+        assert snap.fps == 5.0
+
+    def test_frame_time_average(self):
+        col = self._make_collector()
+        interval = 0.0333
+        for _ in range(10):
+            col._frame_times.append(interval)
+        snap = col._compute_snapshot()
+        assert abs(snap.frame_time_ms - interval * 1000) < 0.1
+
+    def test_drop_detection(self):
+        col = self._make_collector()
+        normal_interval = 0.016
+        now = time.perf_counter()
+        col._last_frame_time = now - normal_interval * 10
+        for _ in range(9):
+            col._last_frame_time += normal_interval
+            col._frame_times.append(normal_interval)
+
+        col._last_frame_time = now
+        with patch("app.telemetry.telemetry_collector.time") as mock_time:
+            col._last_frame_time = now
+            big_delta = normal_interval * 5  # 5× average → drop
+            mock_time.perf_counter.return_value = now + big_delta
+            delta = big_delta
+            col._frame_times.append(delta)
+            avg = sum(col._frame_times) / len(col._frame_times)
+            if delta > avg * 2.5:
+                col._dropped_frames += 1
+
+        assert col._dropped_frames == 1
+
+    def test_reset_counters(self):
+        col = self._make_collector()
+        col._total_frames = 100
+        col._dropped_frames = 5
+        col._frame_times.append(0.016)
+        col._fps_window.append(time.perf_counter())
+        col.reset_counters()
+        assert col._total_frames == 0
+        assert col._dropped_frames == 0
+        assert len(col._frame_times) == 0
+        assert len(col._fps_window) == 0
+
+    def test_snapshot_memory_mb(self):
+        col = self._make_collector()
+        snap = col._compute_snapshot()
+        assert snap.memory_mb == 50.0
+
+    def test_cpu_sys_is_core_divided_by_cpu_count(self):
+        col = self._make_collector(cpu_count=8)
+        col._process.cpu_percent.return_value = 80.0  # 80% of one core
+        snap = col._compute_snapshot()
+        assert snap.cpu_percent_core == 80.0
+        assert snap.cpu_percent_sys == round(80.0 / 8, 1)
+
+    def test_cpu_sys_never_exceeds_100_on_single_core_machine(self):
+        col = self._make_collector(cpu_count=1)
+        col._process.cpu_percent.return_value = 95.0
+        snap = col._compute_snapshot()
+        assert snap.cpu_percent_sys == snap.cpu_percent_core == 95.0
+
+    def test_cpu_sys_le_cpu_core(self):
+        """cpu_percent_sys must always be <= cpu_percent_core."""
+        col = self._make_collector(cpu_count=4)
+        col._process.cpu_percent.return_value = 150.0
+        snap = col._compute_snapshot()
+        assert snap.cpu_percent_sys <= snap.cpu_percent_core
+
+    def test_target_fps_none_by_default(self):
+        col = self._make_collector()
+        snap = col._compute_snapshot()
+        assert snap.target_fps is None
+
+    def test_set_target_fps_reflected_in_snapshot(self):
+        col = self._make_collector()
+        col.set_target_fps(60.0)
+        snap = col._compute_snapshot()
+        assert snap.target_fps == 60.0

tests/test_uvc.py

@@ -0,0 +1,117 @@
+"""Tests for the UVC controller abstraction layer."""
+
+from __future__ import annotations
+
+from app.camera.uvc.base import UvcParam, UvcParamInfo
+from app.camera.uvc.stub import NullUvcController
+
+
+class TestNullUvcController:
+    """NullUvcController must implement the full interface, all as no-ops."""
+
+    def setup_method(self) -> None:
+        self.ctrl = NullUvcController()
+
+    def test_is_not_open(self) -> None:
+        assert not self.ctrl.is_open()
+
+    def test_open_returns_false(self) -> None:
+        assert self.ctrl.open("any device") is False
+
+    def test_close_does_not_raise(self) -> None:
+        self.ctrl.close()  # must not raise
+
+    def test_get_param_info_returns_unsupported(self) -> None:
+        info = self.ctrl.get_param_info(UvcParam.BRIGHTNESS)
+        assert isinstance(info, UvcParamInfo)
+        assert info.supported is False
+        assert info.param is UvcParam.BRIGHTNESS
+
+    def test_get_all_params_covers_all_uvc_params(self) -> None:
+        infos = self.ctrl.get_all_params()
+        returned_params = {i.param for i in infos}
+        all_params = set(UvcParam)
+        assert returned_params == all_params
+
+    def test_get_all_params_all_unsupported(self) -> None:
+        for info in self.ctrl.get_all_params():
+            assert info.supported is False
+
+    def test_set_value_returns_false(self) -> None:
+        assert self.ctrl.set_value(UvcParam.CONTRAST, 50) is False
+
+    def test_set_auto_returns_false(self) -> None:
+        assert self.ctrl.set_auto(UvcParam.WHITE_BALANCE, True) is False
+
+    def test_set_value_does_not_raise(self) -> None:
+        for param in UvcParam:
+            self.ctrl.set_value(param, 0)  # must not raise
+
+    def test_set_auto_does_not_raise(self) -> None:
+        for param in UvcParam:
+            self.ctrl.set_auto(param, True)   # must not raise
+            self.ctrl.set_auto(param, False)
+
+
+class TestUvcParamInfo:
+    """UvcParamInfo dataclass sanity checks."""
+
+    def test_defaults(self) -> None:
+        info = UvcParamInfo(param=UvcParam.BRIGHTNESS, supported=True)
+        assert info.minimum == 0
+        assert info.maximum == 100
+        assert info.default == 50
+        assert info.current == 50
+        assert info.step == 1
+        assert info.auto_supported is False
+        assert info.auto_enabled is False
+
+    def test_unsupported_flag(self) -> None:
+        info = UvcParamInfo(param=UvcParam.GAMMA, supported=False)
+        assert info.supported is False
+
+    def test_custom_range(self) -> None:
+        info = UvcParamInfo(
+            param=UvcParam.HUE,
+            supported=True,
+            minimum=-180,
+            maximum=180,
+            default=0,
+            current=-45,
+        )
+        assert info.minimum == -180
+        assert info.maximum == 180
+        assert info.current == -45
+
+
+class TestMakeUvcControllerFallback:
+    """make_uvc_controller falls back to NullUvcController when no lib available."""
+
+    def test_returns_controller_instance(self) -> None:
+        from app.camera.uvc import make_uvc_controller
+        from app.camera.uvc.base import UvcControllerBase
+        ctrl = make_uvc_controller("Test Camera")
+        assert isinstance(ctrl, UvcControllerBase)
+
+    def test_stub_used_when_native_lib_absent(self, monkeypatch) -> None:
+        """If the native import fails, should return NullUvcController."""
+        import builtins
+        real_import = builtins.__import__
+
+        def patched_import(name, *args, **kwargs):
+            if name in ("duvc_ctl", "uvc"):
+                raise ImportError(f"Mocked missing: {name}")
+            return real_import(name, *args, **kwargs)
+
+        monkeypatch.setattr(builtins, "__import__", patched_import)
+        # Re-import to exercise factory with patched import
+        import importlib
+
+        import app.camera.uvc as uvc_pkg
+        importlib.reload(uvc_pkg)
+        ctrl = uvc_pkg.make_uvc_controller("Test Camera")
+        # Should be functional (not raise), may be Null or platform controller
+        from app.camera.uvc.base import UvcControllerBase
+        assert isinstance(ctrl, UvcControllerBase)
+        # Reload back to normal
+        importlib.reload(uvc_pkg)