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mks0601 avatar mks0601 commented on July 17, 2024

Please read README more carefully.
That issue is already addressed in here.

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Yarp96 avatar Yarp96 commented on July 17, 2024

Thanks for the fast answer! Unfortunatly even after copying the model to my own drive it is still saying that the number of downloads was exceeded.

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mks0601 avatar mks0601 commented on July 17, 2024

Did you try download from your google drive file, not from the shared one?

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Yarp96 avatar Yarp96 commented on July 17, 2024

Hi again,

Copying to my drive did not work however when I download the whole folder from my shared drive it zipped it and I was able to download it!

Thank you for your time!

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Yarp96 avatar Yarp96 commented on July 17, 2024

Sorry to bother again, I have been able to run the demo by following your steps however it seems like the output isn't what it should be and im not sure why.

Here is a picture of the mesh on cloud compare:
image
output_mesh_lixel
output_mesh_param
rendered_mesh_param

I am using snapshot_8.pth, checked the bbox and it matches the person we want to predict on.

There is a warning when loading the model:
UserWarning: The given NumPy array is not writeable, and PyTorch does not support non-writeable tensors. This means you can write to the underlying (supposedly non-writeable) NumPy array using the tensor. You may want to copy the array to protect its data or make it writeable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at ..\torch\csrc\utils\tensor_numpy.cpp:141.)
torch.Tensor(smpl_data['betas'].r).unsqueeze(0))

If you have any idea what could cause this let me know!

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mks0601 avatar mks0601 commented on July 17, 2024

I've just downloaded the repo and ran demo.
The results are below.
Please double check you followed the instruction carefully.

rendered_mesh_param
rendered_mesh_lixel

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Yarp96 avatar Yarp96 commented on July 17, 2024

Hi again,

Thanks for the fast answer but I found my mistake, I removed dataparallel thinking that It wouldnt affect the code but it actually messed up the predictions. Sorry for bothering!

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