edited ui.py
parent
0e9ff0c54e
commit
33977b8fb7
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@ -336,54 +336,50 @@ def update_preview(frame_number: int = 0) -> None:
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image = ctk.CTkImage(image, size=image.size)
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preview_label.configure(image=image)
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def webcam_preview_loop(camera: cv2.VideoCapture, source_image: Any, frame_processors: List[ModuleType], virtual_cam: pyvirtualcam.Camera = None) -> bool:
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def webcam_preview_loop(
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camera: cv2.VideoCapture,
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source_image: Any,
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frame_processors: List[ModuleType],
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virtual_cam: Optional[pyvirtualcam.Camera] = None
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) -> bool:
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try:
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return _process_webcam_frames(camera, source_image, frame_processors, virtual_cam)
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except Exception as e:
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update_status(f"Error in webcam preview: {str(e)}")
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logging.error(f"Error in webcam preview: {str(e)}")
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return False
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def _process_webcam_frames(camera, source_image, frame_processors, virtual_cam):
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global preview_label, PREVIEW
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def _process_webcam_frames(
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camera: cv2.VideoCapture,
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source_image: Any,
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frame_processors: List[ModuleType],
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virtual_cam: Optional[pyvirtualcam.Camera] = None
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) -> bool:
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while True:
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ret, frame = camera.read()
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if not ret:
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logging.error("Failed to read frame from camera")
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return False
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# Apply any frame processors
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for processor in frame_processors:
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frame = processor.process(frame, source_image)
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# Show frame preview
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cv2.imshow('Webcam Preview', frame)
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ret, frame = camera.read()
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if not ret:
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update_status("Error: Frame not received from camera.")
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return False
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# Send frame to virtual camera if available
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if virtual_cam:
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virtual_cam.send(frame)
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virtual_cam.sleep_until_next_frame()
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# Perform operations only if necessary
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if modules.globals.live_mirror:
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frame = cv2.flip(frame, 1) # horizontal flipping
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# Break loop on key press
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if cv2.waitKey(1) & 0xFF == ord('q'):
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break
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if modules.globals.live_resizable:
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frame = fit_image_to_size(frame, PREVIEW.winfo_width(), PREVIEW.winfo_height())
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# Process the frame using the frame processors
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for frame_processor in frame_processors:
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try:
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frame = frame_processor.process_frame(source_image, frame)
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except Exception as e:
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update_status(f"Error processing frame: {str(e)}")
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# Convert to RGB only once and resize efficiently
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rgb_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
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image = Image.fromarray(rgb_frame)
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image = ImageOps.contain(image, (PREVIEW_MAX_WIDTH, PREVIEW_MAX_HEIGHT), Image.LANCZOS)
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tk_image = ctk.CTkImage(image, size=image.size)
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preview_label.configure(image=tk_image)
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if virtual_cam:
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virtual_cam.send(frame)
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virtual_cam.sleep_until_next_frame()
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ROOT.update()
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if PREVIEW.state() == 'withdrawn':
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return False
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camera.release()
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cv2.destroyAllWindows()
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return True
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def fit_image_to_size(image, width: int, height: int):
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if width is None and height is None:
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return image
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