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The authors' implementation of Unsupervised Adversarial Learning of 3D Human Pose from 2D Joint Locations

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Hi,Excuse me, I have a little problem about some details in your code. In H3.6m dataset you used 3D data and real camera projection to generate 2D data, so the...

I got this error when I run your demo.py "OSError: Failed to interpret file 'sample/gen_epoch_500.npz' as a pickle" How to fix it?

How to train using MPII only 2D dataset(mpii_poses.npy)? Is it the same with H36M? When I train using MPII dataset, I got this error: `Expect: x0.shape == x1.shape Actual: (16,...

this can be used on upper body?

Hi is it possible to extend this to posenet (which does the 2d joint detection? ) It has the following keypoint configuration `'nose', 0 'leftEye', 1 'rightEye', 2 'leftEar', 3...

So if the character moves along an axis, he is still zero centered in animation. How can I add translation along axes? Thanks

I would like to train my custom dataset. So, how can I create hd5 data file for dataset and can I use gen_epoch_500.npz in my training?

I would like to train for my custom dataset (Not Human Pose). So, how to get gen_epoch_500.npz for my dataset?

I read your paper in details. So, for training you said you do not need 3D annotation set to train your GAN. In here, I have an unclear point. You...

When I run demo.py I met this error.Can you give me some advices to deal with it? python3 bin/demo.py test.jpg --lift_model sample/gen_epoch_500.npz --model pose_iter_440000.caffemodel --proto2d openpose_pose_coco.prototxt MODEL: generator, N_OUT: 17,...