Comments (5)
If they are mirror symmetrical, there are two possibilities: either you use keypoints from one camera view with the image from opposite camera view, or you need to adjust the axis direction(likely the height), which direction is positive direction.
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Hi,i solve it. But i visualised the 3d skeletal points of wholebody3d vs human36m corresponding images and found them to be quite different. Specifically, the model that human36m did the training on will test much worse with wholebody3d than on human36m.
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wholebody3d use coco-wholebody skeleton, not exactly human3.6m ones
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Thanks,i get it.
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Related Issues (20)
- Facing Error with dimensions HOT 6
- Inference script HOT 1
- Question about 3d keypoint data. HOT 5
- Which file, global_3d or camera_3d, should be used to train the model? HOT 5
- How to train the modle HOT 4
- Data loading HOT 1
- Module import HOT 1
- data normalization HOT 4
- NumPy data for test set HOT 1
- data HOT 13
- Inference model HOT 2
- Why are people tilted when plotting the GT with 'draw_skeleton' function HOT 4
- About the difference between two task HOT 2
- Could you please provide the test dataset in JSON format, as well as the RGB to 3D test dataset? I would greatly appreciate it.
- Question about the task IMGTo3D HOT 2
- Are the models used for creating dataset more accurate than models metioned in benchmark.md? HOT 3
- Issue about input of task (I)2D->3D HOT 4
- load testset
- Issue about visualization HOT 1
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