Comments (1)
It is possible to add direct support for that but I don't think it's necessary because there are workarounds for that. The easiest thing you can do is "batch" the operation and if the number of channels you want is not a multiple of 3, just add dummy values and ignore them later. I hope that helps.
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Related Issues (20)
- Obtaining silhouettes of multiple objects
- i get an error when i try to save obj with textures HOT 3
- ValueError: not enough values to unpack (expected 3, got 1) HOT 3
- cuda10.2 torch1.7.1 install fail
- problem about 'python setup.py install' HOT 1
- it haves some error in cuda11.4 HOT 3
- The variable of camera_up is not defined
- cannot run renderer on any other GPU other than GPU 0 HOT 1
- ImportError: /data/user/anconda3/envs/neural_test/lib/python3.7/site-packages/neural_renderer/cuda/load_textures.cpython-37m-x86_64-linux-gnu.so: undefined symbol: _ZN6caffe28TypeMeta21_typeMetaDataInstanceIdEEPKNS_6detail12TypeMetaDataEv HOT 3
- Error in forward_face_index_map_1: invalid device function Error in forward_face_index_map_2: invalid device function Error in forward_texture_sampling: invalid device function HOT 2
- Render Silhouette For A Trimesh Object
- Render 2D Silhouette For an Input Image
- Support for macOS Apple chip HOT 1
- fails to build on Google Colab with CUDA 10.2
- RuntimeError: Error compiling objects for extension even after changing the ``AT_CHECK`` HOT 5
- The problem of python setup.py install HOT 3
- For those who are new to the installation errors HOT 4
- unknown setup problem, RTX 3090 + cuda 11.1, already convert AT_CHECK to TROCH_CHECK HOT 2
- ValueError: mode should be one of None, 'silhouettes' or 'depth' HOT 1
- pip install neural_renderer_pytorch ERROR: Could not build wheels for neural_renderer_pytorch, which is required to install pyproject.toml-based projects HOT 4
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