CelebAMask-HQ | scale face dataset for face parsing | Computer Vision library

 by   switchablenorms Python Version: Current License: No License

kandi X-RAY | CelebAMask-HQ Summary

kandi X-RAY | CelebAMask-HQ Summary

CelebAMask-HQ is a Python library typically used in Artificial Intelligence, Computer Vision, Deep Learning, Pytorch applications. CelebAMask-HQ has no bugs, it has no vulnerabilities and it has medium support. However CelebAMask-HQ build file is not available. You can download it from GitHub.

A large-scale face dataset for face parsing, recognition, generation and editing.
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            kandi-support Support

              CelebAMask-HQ has a medium active ecosystem.
              It has 1803 star(s) with 320 fork(s). There are 46 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 48 open issues and 56 have been closed. On average issues are closed in 188 days. There are 7 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of CelebAMask-HQ is current.

            kandi-Quality Quality

              CelebAMask-HQ has 0 bugs and 0 code smells.

            kandi-Security Security

              CelebAMask-HQ has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              CelebAMask-HQ code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              CelebAMask-HQ does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              CelebAMask-HQ releases are not available. You will need to build from source code and install.
              CelebAMask-HQ has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              CelebAMask-HQ saves you 1407 person hours of effort in developing the same functionality from scratch.
              It has 3146 lines of code, 267 functions and 37 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed CelebAMask-HQ and discovered the below as its top functions. This is intended to give you an instant insight into CelebAMask-HQ implemented functionality, and help decide if they suit your requirements.
            • Setup the UI .
            • Train the model .
            • get hyperparameters
            • Initialize the experiment .
            • Load a network .
            • Encodes the input image .
            • Edit the image .
            • Get a transformation function .
            • Create label colormap .
            • Initialize convolution .
            Get all kandi verified functions for this library.

            CelebAMask-HQ Key Features

            No Key Features are available at this moment for CelebAMask-HQ.

            CelebAMask-HQ Examples and Code Snippets

            Evaluation
            Pythondot img1Lines of Code : 9dot img1no licencesLicense : No License
            copy iconCopy
            [BICUBIC]
            python eval.py
            >> * Mean PSNR = 21.7142
            >> * Mean SSIM = 0.6045
            
            [FSRNet]
            python eval.py --checkpoint ./e099_psnr22.53.pth
            >> * Mean PSNR = 22.5537
            >> * Mean SSIM = 0.7008
              
            SegVAE,Dataset
            Pythondot img2Lines of Code : 7dot img2no licencesLicense : No License
            copy iconCopy
            mkdir -p data/segvae
            mv ~/Downloads/celebamaskhq.zip data/segvae
            mv ~/Downloads/humanparsing.zip data/segvae
            cd data/segvae
            unzip celebamaskhq.zip
            unzip humanparsing.zip
            cd ../../
              
            Training New Models
            Pythondot img3Lines of Code : 1dot img3License : Non-SPDX (NOASSERTION)
            copy iconCopy
            sh ./scripts/train/train_8x_256x256.sh
              

            Community Discussions

            Trending Discussions on CelebAMask-HQ

            QUESTION

            How to check which pytorch version fit torchvision
            Asked 2020-Nov-09 at 09:41

            I am trying to clone and run this repository: https://github.com/switchablenorms/CelebAMask-HQ

            The demo runs pytorh 0.4.1 I am trying to find the corresponding version, how can I find it?

            ...

            ANSWER

            Answered 2020-Nov-09 at 09:41

            The corrosponding torchvision version for 0.4.1 is 0.2.1.
            The easiest way is to look it up in the previous versions section. Only if you couldnt find it, you can have a look at the torchvision realese data and pytorch's version. There you can find which version, got release with which version!

            Source https://stackoverflow.com/questions/64502474

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install CelebAMask-HQ

            You can download it from GitHub.
            You can use CelebAMask-HQ like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            CLONE
          • HTTPS

            https://github.com/switchablenorms/CelebAMask-HQ.git

          • CLI

            gh repo clone switchablenorms/CelebAMask-HQ

          • sshUrl

            git@github.com:switchablenorms/CelebAMask-HQ.git

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