faceswap | Deepfakes Software For All | Machine Learning library

 by   deepfakes Python Version: v2.0.0 License: GPL-3.0

kandi X-RAY | faceswap Summary

kandi X-RAY | faceswap Summary

faceswap is a Python library typically used in Institutions, Learning, Education, Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow, OpenCV applications. faceswap has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has medium support. You can download it from GitHub, GitLab.

The project has multiple entry points. You will have to:. Check out USAGE.md for more detailed instructions.

            kandi-support Support

              faceswap has a medium active ecosystem.
              It has 45815 star(s) with 12451 fork(s). There are 1520 watchers for this library.
              It had no major release in the last 12 months.
              There are 21 open issues and 786 have been closed. On average issues are closed in 28 days. There are 6 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of faceswap is v2.0.0

            kandi-Quality Quality

              faceswap has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              faceswap is licensed under the GPL-3.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

            kandi-Reuse Reuse

              faceswap releases are available to install and integrate.
              Build file is available. You can build the component from source.
              Installation instructions are available. Examples and code snippets are not available.
              faceswap saves you 14815 person hours of effort in developing the same functionality from scratch.
              It has 29609 lines of code, 2517 functions and 201 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed faceswap and discovered the below as its top functions. This is intended to give you an instant insight into faceswap implemented functionality, and help decide if they suit your requirements.
            • Processes ffmpeg
            • Return True if the item_type is valid
            • Checks if all the items are set
            • Check if value equals time
            • Return a list of optional arguments
            • Get filesystem backend
            • Get a batch of masks from the queue
            • The rollover collector
            • Return argument list for ffmpeg
            • Parse the transpose value
            • Runs the prediction on the given batch
            • Compiles the keras model
            • Get a batch of detection images
            • Finalize a batch
            • Update tensorflow tensorflow dependency
            • Processes a training image
            • Show the tooltip
            • Process the image
            • Applies a sparse matrix
            • Get a batch of frames from the given queue
            • Set keyword arguments
            • Save current configuration
            • Set environment variables
            • Check the face with the filter
            • Apply a dense layer
            • Get a batch from the queue
            Get all kandi verified functions for this library.

            faceswap Key Features

            No Key Features are available at this moment for faceswap.

            faceswap Examples and Code Snippets

            Pythondot img1Lines of Code : 2dot img1License : Permissive (MIT)
            copy iconCopy
            $ python main.py -p /path/to/shape_predictor -t /path/to/template/image -i /path/to/input/image -o /path/to/output/image
            $ python main.py -p res/shape_predictor_68_face_landmarks.dat -t images/templates/1.png -i images/inputs/2.jpg -o images/outputs  
            FaceSwap,How to run
            Pythondot img2Lines of Code : 1dot img2no licencesLicense : No License
            copy iconCopy
            python Main/run.py

            Community Discussions


            install python 3.7 via google colab as default python
            Asked 2020-Nov-19 at 20:16

            I need to use python3.7 as default python version to use in google colab(via this notebook ) for testing the faceswap GitHub project, by this codes:



            Answered 2020-Nov-19 at 20:16

            According to this post, there are different ways to run a specific version of Python on Colab:

            • Installing Anaconda
            • Adding (fake) google.colab library
            • Starting Jupyterlab
            • Accessing it with ngrok

            The code sample is below

            Source https://stackoverflow.com/questions/63867581

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


            No vulnerabilities reported

            Install faceswap

            FaceSwap is a Python program that will run on multiple Operating Systems including Windows, Linux, and MacOS. See INSTALL.md for full installation instructions. You will need a modern GPU with CUDA support for best performance. AMD GPUs are partially supported.


            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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