face_shifter | a simple try to reproduce the paper : Faceshifter

by SirLPS Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | face_shifter Summary

face_shifter is a Python library. face_shifter has no bugs, it has no vulnerabilities and it has low support. However face_shifter build file is not available. You can download it from GitHub.

a simple try to reproduce the paper: Faceshifter.

Support

Quality

Security

License

Reuse

Support

face_shifter has a low active ecosystem.

It has 8 star(s) with 6 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of face_shifter is current.

Quality

face_shifter has no bugs reported.

Security

face_shifter has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

face_shifter does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

face_shifter releases are not available. You will need to build from source code and install.

face_shifter has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed face_shifter and discovered the below as its top functions. This is intended to give you an instant insight into face_shifter implemented functionality, and help decide if they suit your requirements.

Preprocess the given image
Return a list of face_landmarks
Align the face of the image
Creates a corp face
Test for lfw face verification
Given a test list and features return a dictionary
Load image
Compute features for each test
Collate tensors
Preprocessed image
Preprocess an image
Train the arc model
Load a trained model
Forward convolutional layer
L2 norm
Perform a single forward computation
Compute the predicted output
Preprocess image data
Get a list of blocks
Forward embedding
Preprocess an image
Forward the input layer

Get all kandi verified functions for this library.

face_shifter Key Features

No Key Features are available at this moment for face_shifter.

face_shifter Examples and Code Snippets

No Code Snippets are available at this moment for face_shifter.

Community Discussions

No Community Discussions are available at this moment for face_shifter.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install face_shifter

You can download it from GitHub.
You can use face_shifter 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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