Jin, Hyunwoo
Jin, Hyunwoo
I found that files to offical [cp-vton repo](https://github.com/sergeywong/cp-vton/tree/master/data) https://github.com/sergeywong/cp-vton/tree/master/data
https://github.com/NVIDIA/nvidia-container-toolkit/issues/257 ```Dockerfile ARG PYTORCH="1.5" ARG CUDA="10.1" ARG CUDNN="7" FROM pytorch/pytorch:1.5-cuda10.1-cudnn7-devel ENV TORCH_CUDA_ARCH_LIST="6.0 6.1 7.0+PTX" ENV TORCH_NVCC_FLAGS="-Xfatbin -compress-all" ENV CMAKE_PREFIX_PATH="$(dirname $(which conda))/../" RUN rm /etc/apt/sources.list.d/cuda.list RUN rm /etc/apt/sources.list.d/nvidia-ml.list RUN apt-get update...
apt-get install -y libgl1-mesa-glx
Read [Prepare an AttrDataset](https://github.com/open-mmlab/mmfashion/blob/master/docs/DATA_PREPARATION.md#prepare-an-attrdataset) under line --- Note that if you use "Anno_fine" that contains 26 better-labeled attributes, nothing else need to be done. If you use run "Anno_coarse" that...
now i saw https://github.com/Gaoyiminggithub/Graphonomy-Panoptic
@vinodbukya6 thank you!
@Cwj1212 I think that problem is caused by the ninja module i just annotate that module line