Comments (2)
davnov134
commented on July 17, 2024
Hi, you would have to first extract 2D human keypoints from the images and run the method on those.
You can use e.g. the stacked hourglass detector for extracting the 2D human keypoints from a big dataset of images with humans. Given those keypoints you can then train c3dpo and later use it at test time to lift the 2D keypoint detections to 3D.
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MritulaC
commented on July 17, 2024
Hi Thanks for your reply. Yes, I have the 2D keypoints in .json format, further, how should I send them as inputs?
Thanks
Mritula
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Related Issues (18)
- Request error when running demo.py HOT 2
- No output when implementing evaluate.py HOT 2
- human scale HOT 1
- Visualizing PASCAL3D+ Results
- About visualization HOT 5
- where is projection matrix HOT 1
- yaml.constructor.ConstructorError HOT 1
- How to make it work on face
- can you give the preproduce code of human36M dataset?
- Rendering scripts? HOT 2
- How to use it with custom dataset?
- How to train a model for coco human dataset? HOT 4
- Train custom dataset HOT 2
- Data normalization HOT 1
- kp_loc and kp_original HOT 1
- demo run error HOT 1
- Visdom of demo program HOT 1
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