Alice Ding

Hi, with landmarks: `landmarks = torch.from_numpy(np.array(landmarks)).to(device).long()`, maybe you can reshape landmarks from torch.Size([1, 1, 68, 2]) to torch.Size([1, 68, 2])

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Hi, with landmarks: `landmarks = torch.from_numpy(np.array(landmarks)).to(device).long()`, maybe you can reshape landmarks from torch.Size([1, 1, 68, 2]) to torch.Size([1, 68, 2]) _Originally posted by @wuhaozhe in https://github.com/wuhaozhe/pytorch-nicp/issues/3#issuecomment-971453681_ hi！I got output as...

about quantitative evaluation

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dear author, thanks for your great work. I am very interested in this work, because I do some research in similar field. I notice that you didn't provide quantitative evaluation...

sorry for bothering you. thanks for your great work, but I meet invalid MEX-file error when running MR_rasterise_mesh_mex function. Invalid MEX-file 'C:\...\matlab\MR_rasterise_mesh_mex.mexw64': ?????????

Thanks for your great work! Can you share evaluation.m file?

is anyone meet this problem? I install tensorflow 1.15.5 on Ubuntu, CUDA 11.1, cudnn 8 In file included from .conda/envs/ostecP/lib/python3.6/site-packages/tensorflow_core/include/third_party/eigen3/Eigen/Core:1, from .conda/envs/ostecP/lib/python3.6/site-packages/tensorflow_core/include/tensorflow/core/lib/strings/strcat.h:29, from .conda/envs/ostecP/lib/python3.6/site-packages/tensorflow_core/include/tensorflow/core/lib/core/errors.h:24, from ~/OSTeC/external/stylegan2/dnnlib/tflib/ops/tensorflow/core/framework/op.h:26, from external/stylegan2/dnnlib/tflib/ops/fused_bias_act.cu:9: .conda/envs/ostecP/lib/python3.6/site-packages/tensorflow_core/include/Eigen/Core:28:12: fatal...