tensorflow_Realtime_Multi-Person_Pose_Estimation
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How to train on custom dataset (no humans)
Hi,
I'm very much interested in using your work for my personal dataset. However I have 2 constraints :
- Number of keypoints per image is variable (between 2 and 6)
- Images doesn't represent humans but signals
Any advice on how to train a model on this custom dataset ? I believe I should remove the paf layers and only keep the heatmap...
Cheers