chaserZT
chaserZT
RuntimeError: Error(s) in loading state_dict for EdgeGenerator: Missing key(s) in state_dict: "encoder.1.weight", "encoder.4.weight", "encoder.7.weight", "middle.0.conv_block.1.weight", "middle.0.conv_block.5.weight", "middle.1.conv_block.1.weight", "middle.1.conv_block.5.weight", "middle.2.conv_block.1.weight", "middle.2.conv_block.5.weight", "middle.3.conv_block.1.weight", "middle.3.conv_block.5.weight", "middle.4.conv_block.1.weight", "middle.4.conv_block.5.weight", "middle.5.conv_block.1.weight", "middle.5.conv_block.5.weight", "middle.6.conv_block.1.weight", "middle.6.conv_block.5.weight", "middle.7.conv_block.1.weight", "middle.7.conv_block.5.weight",...
Thanks a lot!
I want to know the range of loss when training, thx
Thanks. In the paper, top row of Figure 4 shows two image inpainting results. I wonder how to do that. Can I replace the image coordinates with masked images?
File "/data/miniconda3/envs/facestylor/lib/python3.7/site-packages/mmcls/__init__.py", line 57, in f'MMCV=={mmcv.__version__} is used but incompatible. ' \ AssertionError: MMCV==1.3.15 is used but incompatible. Please install mmcv>=1.4.2,
Hi, I think here is a transformation, moving the coordinate system zero point from the center to the lower left corner, but why dense landmarks need to minus 5? https://github.com/barisgecer/Deep3DFaceRecon_pytorch/blob/e3020cf33a0d32394d32862e6b3779151b361045/ostec_api.py#L88-L89
Hi, thank you for your contributions! Could you please share the ultra-high precision model and inference code with me? My email: [[[email protected]](mailto:[email protected])] Thank you very much!