Zooming-Slow-Mo-CVPR-2020
Zooming-Slow-Mo-CVPR-2020 copied to clipboard
Mukosame
Fast and Accurate One-Stage Space-Time Video Super-Resolution (accepted in CVPR 2020)
Hi, I'm planning on create a custom dataset for a specific domain which is to be trained on this network and I had a couple of questions of how I...
Running zsm_my_video.sh. No matter what I do, I keep getting out of memory errors. I'm using an RTX 2060 with 16GB of system RAM and 6GB of dedicated GPU RAM....
Running the file using pretrain(weights) does nothing after the following output. The required ffmpeg has been installed. In any case, I think the installation method may be wrong. What installation...
Running `bash make.sh` in DCNv2 under Windows fails because [WSL can't access CUDA](https://devtalk.nvidia.com/default/topic/968367/cuda-setup-and-installation/install-cuda-8-on-ubuntu-bash-windows-10/). Is it possible to use a precompiled version under Windows, or is there another approach?
Thanks for your excellent work~, and I have some questions about the training phase, hoping for your response. 1. It seems that there is something wrong with the file Vimeo7_dataset.py,...
Is it possible to zoom to other scales rather than 4? I tried changing the scale to 2 in `video_to_zsm.py` but it only used the top left quarter of the...
I'm trying to install, but receive the following error: ``` # bash make.sh No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' Traceback (most recent call last): File "setup.py", line 69, in...
``` Traceback (most recent call last): File "setup.py", line 70, in cmdclass={"build_ext": torch.utils.cpp_extension.BuildExtension}, File "/home/dgxadmin/miniconda3/envs/ZoomSloMo/lib/python3.7/site-packages/setuptools/__init__.py", line 153, in setup return distutils.core.setup(**attrs) File "/home/dgxadmin/miniconda3/envs/ZoomSloMo/lib/python3.7/distutils/core.py", line 148, in setup dist.run_commands() File "/home/dgxadmin/miniconda3/envs/ZoomSloMo/lib/python3.7/distutils/dist.py",...
test using zsm_my_video.sh get error ！
