test controllera

Co-authored-by: Copilot <copilot@github.com>

app/camera.py

@@ -1,148 +0,0 @@
-from PySide6.QtCore import QThread, QTimer, QMutex, QWaitCondition, Signal, QObject, QElapsedTimer
-import cv2
-import time
-import logging
-from dataclasses import dataclass
-logger = logging.getLogger(__name__)
-
-@dataclass
-class VideoMetrics:
-    frames_processed: int
-    frames_dropped: int
-    last_frame_time: float
-    last_cap_time: float
-    fps_average: float
-    fps_last_time: float
-    fps_frame_count: float
-
-    def update_fps(self) -> None:
-        fps_now = time.perf_counter()
-        elypsed = fps_now - self.fps_last_time
-        if elypsed < 1.0:
-            return
-        
-        self.fps_frame_count = self.frames_processed - self.fps_frame_count
-        self.fps_average = self.fps_frame_count / elypsed
-        self.fps_frame_count = self.frames_processed
-        self.fps_last_time = fps_now
-
-
-class VideoStreamWorker(QObject):
-    # Emitowany z wątku roboczego - będzie przenoszony do głównego wątku przez VideoStream
-    _internal_frame = Signal(object)
-
-    def __init__(self, source):
-        super().__init__()
-        self.source = source
-        self.cap = None
-        self.fps = 30.0
-        self.width = 0
-        self.height = 0
-        self.running = False
-        self.metrics = VideoMetrics(
-            frames_processed=0,
-            frames_dropped=0,
-            last_frame_time=0.0,
-            last_cap_time=0.0,
-            fps_average=0.0,
-            fps_last_time=time.perf_counter(),
-            fps_frame_count=0.0
-        )
-
-        logger.debug(f"VideoStreamWorker initialized with source: {source}")
-
-    def set_source(self, source):
-        logger.debug(f"Setting new video source: {source}")
-        self.source = source
-        if self.running:
-            self.stop()
-            self.run()
-    
-    def run(self):
-        """Główna pętla wątku roboczego."""
-        if self.source is None:
-            logger.warning("No video source provided")
-            return
-        
-        self.cap = cv2.VideoCapture(self.source)
-        if not self.cap.isOpened():
-            logger.error(f"Failed to open video source: {self.source}")
-            return
-
-        self.fps = self.cap.get(cv2.CAP_PROP_FPS)
-        if self.fps <= 0:
-            self.fps = 30.0
-
-        self.width = int(self.cap.get(cv2.CAP_PROP_FRAME_WIDTH))
-        self.height = int(self.cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
-
-        logger.debug(f"Video opened: {self.source} (fps: {self.fps}, size: {self.width}x{self.height})")
-
-        frame_interval = 1.0 / self.fps
-        self.running = True
-        frame_emit_time = time.perf_counter()
-
-        while self.running:
-            next_frame_time = frame_emit_time + frame_interval
-
-            ret, frame = self.cap.read()
-            
-            if not ret:
-                logger.debug("End of video stream or read error")
-                break
-
-            current_time = time.perf_counter()
-            self.metrics.last_cap_time = current_time - frame_emit_time
-
-            if current_time < next_frame_time:
-                sleep_time = next_frame_time - current_time
-                time.sleep(sleep_time)
-            else:
-                self.metrics.frames_dropped += 1
-                logger.debug(f"Frame drops counted: {self.metrics.frames_dropped}")
-
-            frame_emit_time = time.perf_counter()
-            self._internal_frame.emit(frame)
-
-            self.metrics.frames_processed += 1
-            self.metrics.update_fps()
-
-        self.cap.release()
-
-    def stop(self):
-        self.running = False
-        self.mutex.lock()
-        self.condition.wakeAll()
-        self.mutex.unlock()
-
-
-class VideoStream(QObject):
-    """Klasa fasadowa do użycia w głównym wątku GUI."""
-    frame_ready = Signal(object)  # To będzie emitowane z głównego wątku
-
-    def __init__(self, source):
-        super().__init__()
-        self.worker = VideoStreamWorker(source)
-        self.worker_thread = QThread()
-        
-        # Przenosimy workera do osobnego wątku
-        self.worker.moveToThread(self.worker_thread)
-        
-        # Łączymy sygnały
-        self.worker._internal_frame.connect(self._on_frame)
-        self.worker_thread.started.connect(self.worker.run)
-        self.worker_thread.finished.connect(self.worker.deleteLater)
-        self.worker_thread.finished.connect(self.worker_thread.deleteLater)
-
-    def start(self):
-        self.worker_thread.start()
-
-    def stop(self):
-        self.worker.stop()
-        self.worker_thread.quit()
-        self.worker_thread.wait()
-
-    def _on_frame(self, frame):
-        """Slot wywoływany w głównym wątku po otrzymaniu klatki."""
-        # Tutaj możesz dodać korekcję ekspozycji jeśli nie zrobiłeś tego w workerze
-        self.frame_ready.emit(frame)

app/main_window.py

@@ -2,10 +2,11 @@ from enum import Enum
 from typing import Any
 import logging
 
-from PySide6.QtWidgets import QGridLayout, QHBoxLayout, QMainWindow, QStyle, QToolButton, QWidget, QVBoxLayout, QPushButton
-from PySide6.QtGui import QIcon
+from PySide6.QtWidgets import QGridLayout, QHBoxLayout, QMainWindow, QStyle, QToolButton, QWidget, QVBoxLayout, QPushButton, QLabel
+from PySide6.QtGui import QIcon, QPixmap
 from PySide6.QtCore import Qt, QSize
 
+from .video_stream.controller import VideoStreamController, FrameMetrics
 logger = logging.getLogger(__name__)
 
 class VideoMode(Enum):
@@ -70,13 +71,22 @@ class MainWindow(QMainWindow):
         self.video_mode = VideoMode.STREAMING
         logger.debug(f"Initial video mode: {self.video_mode}")
 
+
+        self.video_controller = VideoStreamController()
+        self.video_controller.change_source(0)  # Start with default camera
+        self.video_controller.image_ready.connect(self.update_frame)
+
         self.setup_ui()
 
+        self.video_controller.start()
+
     def setup_ui(self):
         self.central_widget = QWidget()
         self.setCentralWidget(self.central_widget)
         self.central_widget.setStyleSheet("background-color: #001e1e;")
 
+        self.video_label = QLabel(self.central_widget)
+
         self.toolbar_widget = QWidget(self.central_widget)
         self.toolbar_widget.setMinimumWidth(400)
         self.toolbar_widget.setObjectName("bottomToolbar")
@@ -186,3 +196,11 @@ class MainWindow(QMainWindow):
         logger.debug("Pausing video")
         self.video_mode = VideoMode.STOPPED
         set_icon(self.action_button, "play")
+
+    def closeEvent(self, event: Any) -> None:
+        logger.debug("Closing main window, cleaning up resources.")
+        self.video_controller.cleanup()
+        super().closeEvent(event)
+
+    def update_frame(self, frame):
+        self.video_label.setPixmap(QPixmap.fromImage(frame))

app/video_stream/__init__.py

@@ -0,0 +1,3 @@
+from .controller import VideoStreamController
+
+__all__ = ['VideoStreamController']

app/video_stream/controller.py

@@ -0,0 +1,238 @@
+import numpy as np
+import cv2
+from logging import getLogger
+from collections import deque
+from cv2_enumerate_cameras import enumerate_cameras
+from PySide6.QtCore import QObject, QThread, Signal, Slot
+from PySide6.QtGui import QImage
+from dataclasses import dataclass, field
+from .worker import VideoStreamWorker
+
+logger = getLogger(__name__)
+
+
+@dataclass
+class FrameMetrics:
+    fr_start_delta_min: float = float('inf')    # Minimum time between frame read starts
+    fr_start_delta_max: float = 0.0             # Maximum time between frame read starts 
+    fr_start_delta_avg: float = 0.0             # Average time between frame read starts (calculated over a buffer of recent frames)
+    fr_time_min: float = float('inf')           # Minimum time taken to read a frame
+    fr_time_max: float = 0.0                    # Maximum time taken to read a frame
+    fr_time_avg: float = 0.0                    # Average time taken to read a frame (calculated over a buffer of recent frames)
+    fps_average_1s: float = 0.0                 # Average FPS calculated over the last 1 second (or a buffer of recent frames)
+    frame_count: int = 0                        # Total number of frames processed
+    last_start_time: float = 0.0                # Timestamp of the last frame read start (used for calculating deltas)
+    buf_size: int = 30                          # Size of the buffer for calculating average metrics
+    b_fr_start_delta: deque = field(init=False, repr=False)     # Buffer for recent frame read start deltas (used for calculating average)
+    total_start_delta: float = 0.0                              # Total accumulated frame read start delta (used for calculating average)
+    b_fr_time_delta: deque = field(init=False, repr=False)      # Buffer for recent frame read time deltas (used for calculating average)
+    total_frame_time: float = 0.0                               # Total accumulated frame read time delta (used for calculating average)
+
+    def __post_init__(self):
+        self.b_fr_start_delta = deque(maxlen=self.buf_size)
+        self.b_fr_time_delta = deque(maxlen=self.buf_size)
+
+    def calc_start_delta_min_max_avg(self, start_time: float) -> None:
+        if self.last_start_time == 0.0:
+            self.last_start_time = start_time
+            return
+        
+        start_delta = start_time - self.last_start_time
+        self.fr_start_delta_min = min(self.fr_start_delta_min, start_delta)
+        self.fr_start_delta_max = max(self.fr_start_delta_max, start_delta)
+
+        if len(self.b_fr_start_delta) == self.buf_size:
+            self.total_start_delta -= self.b_fr_start_delta[0]
+        
+        self.b_fr_start_delta.append(start_delta)
+        self.total_start_delta += start_delta
+        self.last_start_time = start_time
+
+        self.fr_start_delta_avg = self.total_start_delta / len(self.b_fr_start_delta)
+
+    def calc_frame_time_min_max_avg(self, start_time: float, end_time: float) -> None:
+        fr_time = end_time - start_time
+        self.fr_time_min = min(self.fr_time_min, fr_time)
+        self.fr_time_max = max(self.fr_time_max, fr_time)
+
+        if len(self.b_fr_time_delta) == self.buf_size:
+            self.total_frame_time -= self.b_fr_time_delta[0]
+        
+        self.b_fr_time_delta.append(fr_time)
+        self.total_frame_time += fr_time
+
+        self.fr_time_avg = self.total_frame_time / len(self.b_fr_time_delta)
+
+    def calc_fps(self) -> None:
+        if self.frame_count < self.buf_size:
+            return
+        
+        # fps = (len(self.b_fr_start_delta)) / self.total_start_delta if self.total_start_delta > 0 else 0.0
+        # self.fps_average_1s = fps
+
+        self.fps_average_1s = 1.0 / self.fr_start_delta_avg if self.fr_start_delta_avg > 0 else 0.0
+
+    def update_metrics(self, start_time: float, end_time: float) -> None:
+        self.frame_count += 1
+        self.calc_start_delta_min_max_avg(start_time)
+        self.calc_frame_time_min_max_avg(start_time, end_time)
+        self.calc_fps()
+
+    def reset_metrics(self) -> None:
+        self.fr_start_delta_min = float('inf')
+        self.fr_start_delta_max = 0.0
+        self.fr_start_delta_avg = 0.0
+        self.fr_time_min = float('inf')
+        self.fr_time_max = 0.0
+        self.fr_time_avg = 0.0
+        self.fps_average_1s = 0.0
+        self.frame_count = 0
+        self.last_start_time = 0.0
+        self.b_fr_start_delta.clear()
+        self.total_start_delta = 0.0
+        self.b_fr_time_delta.clear()
+        self.total_frame_time = 0.0
+
+    def get_metrics(self) -> "FrameMetrics":
+        return FrameMetrics(
+            fr_start_delta_min= round(self.fr_start_delta_min * 1000, 3),  # Convert to milliseconds
+            fr_start_delta_max= round(self.fr_start_delta_max * 1000, 3),
+            fr_start_delta_avg= round(self.fr_start_delta_avg * 1000, 3),
+            fr_time_min= round(self.fr_time_min * 1000, 3),
+            fr_time_max= round(self.fr_time_max * 1000, 3),
+            fr_time_avg= round(self.fr_time_avg * 1000, 3),
+            fps_average_1s= round(self.fps_average_1s, 3),
+            frame_count=self.frame_count
+        )
+
+
+class VideoStreamController(QObject):
+    """
+    Facade class managing the VideoStreamWorker and its QThread.
+    Converts raw frames to QImage for the UI and can route them to other processors.
+    """
+    image_ready = Signal(QImage)  # Signal for the UI
+    raw_frame_ready = Signal(np.ndarray)  # Signal for other processing modules
+    error_occurred = Signal(str)
+    status_changed = Signal(bool)
+
+    def __init__(self):
+        super().__init__()
+        self._thread = QThread()
+        self._worker = VideoStreamWorker()
+        self._worker.moveToThread(self._thread)
+        self._metrics: FrameMetrics | None = None
+
+        # Connect internal signals
+        self._worker.frame_ready.connect(self._handle_frame)
+        self._worker.frame_time.connect(self._handle_frame_time)
+        self._worker.error_occurred.connect(self.error_occurred)
+        self._worker.started.connect(self.started)
+        self._worker.stopped.connect(self.stopped)
+
+        # Cleanup
+        self._thread.finished.connect(self._worker.stop)
+        
+        self._thread.start()
+
+    @staticmethod
+    def get_available_cameras():
+        """
+        Returns a list of available camera devices using cv2_enumerate_cameras.
+        Each item is an object with properties like 'index' and 'name'.
+        """
+        return list(enumerate_cameras())
+
+    @Slot()
+    def get_metrics(self) -> FrameMetrics | None:
+        """
+        Returns the current frame metrics.
+        """
+        return self._metrics.get_metrics() if self._metrics else None
+    
+    @Slot(object)
+    def change_source(self, source):
+        """
+        Change the video source (camera index or file path).
+        """
+        self._worker.set_source(source)
+
+    @Slot()
+    def start(self):
+        logger.debug("Starting video stream worker thread.")
+        self._worker.start()
+
+    @Slot()
+    def stop(self):
+        logger.debug("Stopping video stream worker thread.")
+        self._worker.stop()
+
+    @Slot(float, tuple)
+    def started(self, fps: float, video_res: tuple):
+        logger.debug(f"Video stream worker started with FPS: {fps}, Resolution: {video_res[0]}x{video_res[1]}")
+        self._metrics = FrameMetrics()
+        self.status_changed.emit(True)
+
+    @Slot()
+    def stopped(self):
+        logger.debug("Video stream worker thread stopped.")
+        if self._metrics:
+            self._metrics.reset_metrics()
+        self.status_changed.emit(False)
+
+    def cleanup(self):
+        """
+        Safely shuts down the worker and the thread.
+        Must be called before the application exits.
+        """
+        logger.debug("Cleaning up video stream controller.")
+        self._worker.stop()
+        self._thread.quit()
+        if not self._thread.wait(2000): # Wait up to 2 seconds
+            self._thread.terminate()
+            self._thread.wait()
+
+    @Slot(np.ndarray)
+    def _handle_frame(self, frame):
+        """
+        Internal handler for frames from the worker.
+        Handles conversion to QImage and routing.
+        """
+        # 1. Emit raw frame for other processing (OCR, Detection, etc.)
+        self.raw_frame_ready.emit(frame)
+
+        # 2. Convert to QImage for UI
+        q_image = self._convert_to_qimage(frame)
+        self.image_ready.emit(q_image)
+
+    def _convert_to_qimage(self, frame):
+        """
+        Converts a BGR numpy array to a RGB QImage.
+        """
+        if frame is None:
+            return QImage()
+
+        # OpenCV uses BGR, PySide uses RGB
+        try:
+            frame_rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
+            height, width, channel = frame_rgb.shape
+            bytes_per_line = channel * width
+            
+            return QImage(
+                frame_rgb.data, 
+                width, 
+                height, 
+                bytes_per_line, 
+                QImage.Format.Format_RGB888
+            ).copy() # .copy() ensures the QImage owns the data and is safe to pass across threads
+        except Exception as e:
+            self.error_occurred.emit(f"Image conversion error: {str(e)}")
+            return QImage()
+
+    @Slot(float, float)
+    def _handle_frame_time(self, start_time, end_time):
+        """
+        Optional: Handle frame timing information for performance monitoring.
+        """
+        if self._metrics:
+            self._metrics.update_metrics(start_time, end_time)

app/video_stream/worker.py

@@ -0,0 +1,118 @@
+import cv2
+import numpy as np
+import time
+from PySide6.QtCore import QObject, Signal, Slot, QTimer
+from logging import getLogger
+
+logger = getLogger(__name__)
+
+class VideoStreamWorker(QObject):
+    """
+    Worker class responsible for reading frames from OpenCV VideoCapture.
+    Runs in a separate QThread.
+    """
+    frame_ready = Signal(np.ndarray)
+    frame_time = Signal(float, float)  # (start_time, end_time)
+    error_occurred = Signal(str)
+    started = Signal(float, tuple)  # (fps, (width, height))
+    stopped = Signal()
+    source_changed = Signal(object)  # Nowy sygnał dla zmiany źródła
+
+    def __init__(self):
+        super().__init__()
+        self._cap = None
+        self._source = 0  # Default to first camera
+        self._is_running = False
+        self._timer = QTimer()
+        self._timer.timeout.connect(self._process_frame)
+        self.source_changed.connect(self._on_source_changed)  # Łączymy sygnał ze slotem
+
+    @Slot(object)
+    def set_source(self, source):
+        """
+        Sets the video source asynchronously.
+        source: int (camera index) or str (file path).
+        """
+        self.source_changed.emit(source)  # Emitujemy sygnał zamiast synchronicznej zmiany
+
+    @Slot(object)
+    def _on_source_changed(self, source):
+        """
+        Slot obsługujący zmianę źródła w wątku roboczym.
+        """
+        logger.debug(f"Changing video source to: {source}")
+        was_running = self._is_running
+        if was_running:
+            self.stop()  # Zatrzymujemy synchronicznie w tym samym wątku
+        self._source = source
+        if was_running:
+            self.start()  # Uruchamiamy ponownie w tym samym wątku
+
+    @Slot()
+    def start(self):
+        if self._is_running:
+            logger.warning("VideoStreamWorker is already running.")
+            return
+
+        if self._source is None:
+            logger.error("No video source specified.")
+            self.error_occurred.emit("No source specified.")
+            return
+
+        self._cap = cv2.VideoCapture(self._source)
+        if not self._cap.isOpened():
+            logger.error(f"Could not open source: {self._source}")
+            self.error_occurred.emit(f"Could not open source: {self._source}")
+            return
+
+        self._is_running = True
+        # Using a timer for consistent frame rate and to play nice with the event loop
+        # For files, we might want to calculate the interval from FPS.
+        fps = self._cap.get(cv2.CAP_PROP_FPS)
+        interval = int(1000 / fps) if fps > 0 else 30
+
+        video_res = (int(self._cap.get(cv2.CAP_PROP_FRAME_WIDTH)), int(self._cap.get(cv2.CAP_PROP_FRAME_HEIGHT)))
+        logger.debug(f"Video opened: {self._source} (fps: {fps}, width: {video_res[0]}, height: {video_res[1]})")
+
+        self._timer.start(interval)
+        self.started.emit(fps, video_res)
+
+    @Slot()
+    def stop(self):
+        logger.debug("Stopping VideoStreamWorker.")
+        self._is_running = False
+        self._timer.stop()
+        if self._cap:
+            self._cap.release()
+            self._cap = None
+        self.stopped.emit()
+
+    def _process_frame(self):
+        if not self._is_running:
+            logger.debug("VideoStreamWorker is not running. Skipping frame processing.")
+            return
+        
+        if self._cap is None or not self._cap.isOpened():
+            logger.error("VideoCapture is not initialized or opened.")
+            self.error_occurred.emit("VideoCapture not initialized.")
+            self.stop()
+            return
+        try:
+            read_start_time = time.perf_counter()
+            ret, frame = self._cap.read()
+            if ret:
+                self.frame_ready.emit(frame)
+            else:
+                # End of video file or lost connection
+                if isinstance(self._source, str):
+                    self.stop()
+                else:
+                    logger.error("Lost connection to camera.")
+                    self.error_occurred.emit("Lost connection to camera.")
+                    self.stop()
+            read_end_time = time.perf_counter()
+            self.frame_time.emit(read_start_time, read_end_time)
+        except Exception as e:
+            logger.error(f"Error reading frame: {str(e)}")
+            self.error_occurred.emit(f"Error reading frame: {str(e)}")
+