feat: Add video playback functionality and inference support

- 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.

app/config.py

@@ -27,3 +27,20 @@ DISPATCHER_MAX_QUEUE_SIZE = 2  # max pending frames per slow subscriber before d
 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)"