Closed felixboevr closed 2 years ago
Hi @felixboevr this is likely because of a mismatch between the number of mesh vertices somewhere. It's hard for me to debug the issue for you with the information provided.
Hi @shubham-goel , thanks for replying. To make no mistake with symmetry I tried the demo with a perfectly symmetric sphere object which I centered in the x-y-z intersection and exported from blender. Still I get the mentioned runtime error no matter if I do the demo with .obj or .npy file.
Hi @felixboevr. The error is expected because this assersion fails when you're trying to use a new template shape (with a different topology) in a pretrained network. To use UCMR with a different template shape, you should train from scratch following the instructions in docs/training.md
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Hi @shubham-goel,
thanks again for your help with #19
I managed to create the .npy and .obj files with your code. But when running demo.py with my .npy-file I get the following error.
RuntimeError: The size of tensor a (565) must match the size of tensor b (1106) at non-singleton dimension 0
I didn't find a helpful solution with my research. Could you please give me a hint?