Keiichi Kuroyanagi

I solved it by using `T.InterpolationMode.BICUBIC` instead of `Image.BICUBIC` in my project. ``` T.Resize((224, 224), T.InterpolationMode.BICUBIC) ``` Note that in my project, not in PyTorch-CycleGAN.

@akshat-kulsh It's a long time ago, so I can't remember, but it's probably code like this: ``` import torchvision.transforms as T ```

If possible, I would appreciate it if you could publish it. I can't use V100 8 GPU. I want to estimate how long it will take with a single GPU...

You should have successfully compiled DCNv2 on the CPU, but failed to compile it on the GPU. If you build Docker container according to this pull request https://github.com/xingyizhou/CenterTrack/pull/176, you can...

@Meteroo @wenjiey2 Since the issue has been linked with #XX, enclose it as a code block with \``` \``` as shown below. ``` frame #1: dcn_v2_forward(at::Tensor const&, at::Tensor const&, at::Tensor...

@ahyunlee Since the Docker environment does not have a display, please modify `demo.py` so that it does not use the display.

@fabio-cancio-sena Please tell me the version of your Docker. By the way, in my understanding, nvidia-docker2 is unnecessary. Instead NVIDIA Container Toolkit is required. You can find it with a...

@fabio-cancio-sena I also confirmed the error in the following environment. It was a long time ago, so I can't resolve the error right now. I will try to resolve the...

You should have successfully compiled DCNv2 on the CPU, but failed to compile it on the GPU. If you build Docker container according to this pull request https://github.com/xingyizhou/CenterTrack/pull/176, you don't...

The following command works, but it doesn't work with docker-compose. Does anyone know the cause? ``` docker run --rm --gpus=all --env NVIDIA_DISABLE_REQUIRE=1 -it nvidia/cuda:11.2.0-cudnn8-devel-ubuntu20.04 nvidia-smi ``` I have the following...