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Pytorch and torchvision version depreciated #104
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I upgrade the project to a new version of libraries.code is tested on the new version of torch=1.13.1, torchvision=0.14.1 using python 3.9 pip installation. [March 2023 update: code is compatible with torch 2.0.0+cu117, torchaudio 2.0.1+cu117, torchvision 0.15.1+cu117 on python 3.9.13] |
Hello, do you know how to make test_mask? |
you can refer my other repo for this, https://github.com/ARajgor/VTryon-flask-new it is based on Flask App for custom images. |
Hello, can you help me to see why the code after I changed did not generate results saved in the specified path, after running no error? |
for the body mask, you need to parse images into png format. like the code mentioned on line 65 in application.py. that generate two files and saved them in image-parse and image-parse-new. after that, we pass files into the make_body_mask function with file_name.jpg and file_name.png. the function takes the |
Thank you very much for your help, I have successfully made the image_mask! Wish you good health and smooth work! |
Actually, I didn't change the original resolution that came with the original project but it is 192 X 256 px. the image parser inference.py also generates 192 X 256 px image and you have to pass it to the function. so may be there is an error of resolution. |
Ok, thank you very much for your help! |
conda install pytorch=0.4.1 torchvision=0.2.1 -c pytorch not working
Result:
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Collecting package metadata (repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
PackagesNotFoundError: The following packages are not available from current channels:
Current channels:
To search for alternate channels that may provide the conda package you're
looking for, navigate to
and use the search bar at the top of the page.
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