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DenisTome / Lifting-from-the-Deep-release

Implementation of "Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image"
https://denistome.github.io/papers/lifting-from-the-deep
GNU General Public License v3.0
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> You would need a big dataset with 3D data (either captured or synthetically generated) and follow the same steps described in the paper #57

Closed Elmiar0642 closed 3 years ago

Elmiar0642 commented 3 years ago

You would need a big dataset with 3D data (either captured or synthetically generated) and follow the same steps described in the paper

I have 1 GB of snake image dataset, which itself contains different gait/pose pics, but the problem when i tried to use this model is, it couldnt recognise the pictures, either due to thickness, or it just couldnt find any humans in image.

INFO:tensorflow:Restoring parameters from /content/saved_sessions/init_session/init No visible people in the image. Change CENTER_TR in packages/lifting/utils/config.py ... An exception has occurred, use %tb to see the full traceback.

@DenisTome

Originally posted by @ArimaValanImmanuel in https://github.com/DenisTome/Lifting-from-the-Deep-release/issues/56#issuecomment-796918695