Keypoint detection
See original GitHub issue🚀 Feature
Torchvision includes the keypoint rcnn that should work very similarly to the other rcnn models. It should be straight forward to add support for this task.
TODO list
- Datastructure:
Keypoints
- Record mixin
- Parser mixin
- Dataloders
- Model
- predict, predict_dl
- Visualization
Issue Analytics
- State:
- Created 3 years ago
- Comments:5 (3 by maintainers)
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Keypoint Detection | Papers With Code
Keypoint detection involves simultaneously detecting people and localizing their keypoints. Keypoints are the same thing as interest points.
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Keypoint detection consists of locating key object parts. For example, the key parts of our faces include nose tips, eyebrows, eye corners, ...
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Tutorial on how to fine-tune Keypoint RCNN. By default, PyTorch provides a Keypoint RCNN model which is pre-trained to detect 17 keypoints of ......
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Accurate localization. ○ Invariance against shift, rotation, scale, brightness change. ○ Robustness against noise, high repeatability.
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Top GitHub Comments
uhuu @FraPochetti, we forgot to close this very important one hahahah
Totally agree!