Related Issues (20)
- move fall detection library out of ambianic-edge into independent pypi package HOT 2
- feat: reduce false positives when there are multiple persons in view
- Image pre-processing for improved PoseNet inference results
- [BUG] pose_engine.py runtime exception HOT 5
- User labeling and model training of fall detection model
- False positive - people bending over intentionally, not falling HOT 3
- Publish pose-detection as a standalone repo and pypi package
- Switch to MoveNet as a default ML model
- Jupyter Notebook on Fall Detection data
- Clean up python package naming
- [BUG] Fall detection saves debugging images at INFO level HOT 1
- Edge not detecting people walking in and out and not detecting falls, false positives for objects and falls
- Fall detection does not report all the falls
- Implement more test cases based on public and user contributed video and image data of elderly falls HOT 3
- Upgrade pose detection from PoseNet MobileNetV1 to MoveNet, PoseNet 2.0 ResNet50, or BlazePose HOT 10
- Enhance store.py (save_detections) for fall detection
- Optimize CPU usage - rotate image only if there is a standing up pose in the frame buffer HOT 2
- [BUG] fall detection: spinal vector unused for leaning angle calculations HOT 1
- [BUG] Fall detection test fails intermittently in PR #282 HOT 16
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from fall-detection.