This commit introduces the necessary infrastructure for integrating pupil segmentation into the mono camera pipelines.
Key changes include:
- Modifying `gstreamer_pipeline.py` to add a tee element to split mono camera streams, creating a dedicated branch for segmentation output with a placeholder `videoconvert` element and `appsink`. This also includes new callbacks and data structures to handle the segmentation frames.
- Adding a new Flask route `/segmentation_feed/<int:stream_id>` to `app.py` to serve the segmentation video stream to the frontend.
- Updating `index.html` to display the new segmentation feed and implementing cache-busting for all video streams.
- Introducing `test_segmentation.py` to verify the functionality of the new segmentation feed.
- Refine existing UI and visual tests by updating locators and fixing indentation errors to accommodate the new segmentation feature and maintain test stability.
- Add a new section to the web UI to display pupil detection data and a live camera stream with YOLO segmentation.
- Add a /video_feed endpoint to stream the annotated camera feed.
- Update the VisionSystem to support onnxruntime-gpu with a fallback to CPU.
- Add logging to indicate which backend is being used.
- Refactor the test suite to accommodate the new features and fix existing tests.
