https://github.com/seungwonpark/mediapipe_arch_vis
Collection of naive visualization of tflite models from MediaPipe
https://github.com/seungwonpark/mediapipe_arch_vis
Last synced: 3 months ago
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Collection of naive visualization of tflite models from MediaPipe
- Host: GitHub
- URL: https://github.com/seungwonpark/mediapipe_arch_vis
- Owner: seungwonpark
- Created: 2021-06-21T05:38:11.000Z (almost 4 years ago)
- Default Branch: main
- Last Pushed: 2021-06-21T06:11:08.000Z (almost 4 years ago)
- Last Synced: 2025-03-15T20:57:05.952Z (3 months ago)
- Language: HTML
- Homepage: http://swpark.me/mediapipe_arch_vis/
- Size: 379 KB
- Stars: 2
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# mediapipe_arch_vis
Collection of naive visualization of tflite models from [MediaPipe](https://github.com/google/mediapipe)Though I could simply get those with [`visualize.py`](visualize.py),
hosting them through GitHub Pages will benefit the developers and researchers who use MediaPipe.## List of files
These are (incomprehensive) list of visualization of `*.tflite` files that exist in MediaPipe repository.
- [`face_detection_back.html`](face_detection_back.html)
- [`face_detection_front.html`](face_detection_front.html)
- [`face_landmark.html`](face_landmark.html)
- [`hair_segmentation.html`](hair_segmentation.html)
- [`hand_landmark.html`](hand_landmark.html)
- [`hand_recrop.html`](hand_recrop.html)
- [`iris_landmark.html`](iris_landmark.html)
- [`knift_float.html`](knift_float.html)
- [`object_detection_3d_camera.html`](object_detection_3d_camera.html)
- [`palm_detection.html`](palm_detection.html)
- [`pose_detection.html`](pose_detection.html)
- [`pose_landmark_full.html`](pose_landmark_full.html)
- [`pose_landmark_heavy.html`](pose_landmark_heavy.html)
- [`pose_landmark_lite.html`](pose_landmark_lite.html)
- [`ssdlite_object_dectection.html`](ssdlite_object_dectection.html)## Acknowledgments
- [This answer from Stack Overflow](https://stackoverflow.com/a/56961776/14931669) helped myself to find `visualize.py` from the TensorFlow.
- I'm always grateful to the developers of MediaPipe. Thanks a lot!## License
Apache License 2.0