humannerf
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Getting weird results when training with custom data
I got this weird result, is it normal or did I do any wrong? I validate my camera parameters using
cv2.projectPoints
and they seems to be correct. Also, I have another dataset in which I got the body pose using EasyMocap, can I just use the 'pose' and 'Rh' data from them (I also checked the code in prepare_dataset.py
and find that you actually don't need 'Th', right?
@qzane,
Even I am getting weird results for my dataset when training. Did you generate your smpl values from ROMP/VIBE?
Maybe its the camera values or something wrong. If you solved it, it would be great if you can provide some information on this.
I will be waiting for your response
LOL, it seems I was not the only one getting this:
I am experiencing something similar with the results form 4D Humans. Has anyone solved this issue?
I am experiencing something similar with the results form 4D Humans. Has anyone solved this issue?
That's because the projection of sampling rays isn't 100% accurate. So make sure you have the correct camera values.
I am experiencing something similar with the results form 4D Humans. Has anyone solved this issue?
That's because the projection of sampling rays isn't 100% accurate. So make sure you have the correct camera values.
I ran 4d humans on mocap just to verify, and I even tried to substitute the cam in/extrinsics by the mocap dataset gt. It still gave me similar results...
I am experiencing something similar with the results form 4D Humans. Has anyone solved this issue?
That's because the projection of sampling rays isn't 100% accurate. So make sure you have the correct camera values.
I ran 4d humans on mocap just to verify, and I even tried to substitute the cam in/extrinsics by the mocap dataset gt. It still gave me similar results...
What do you mean by running mocap on it? Did you mean Easymocap?