FaceSwap | 3D face swapping implemented in Python | Computer Vision library

by MarekKowalski Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | FaceSwap Summary

FaceSwap is a Python library typically used in Artificial Intelligence, Computer Vision, OpenCV applications. FaceSwap has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

FaceSwap is an app that I have originally created as an exercise for my students in "Mathematics in Multimedia" on the Warsaw University of Technology. The app is written in Python and uses face alignment, Gauss Newton optimization and image blending to swap the face of a person seen by the camera with a face of a person in a provided image.

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Quality

Security

License

Reuse

Support

FaceSwap has a low active ecosystem.

It has 669 star(s) with 203 fork(s). There are 29 watchers for this library.

It had no major release in the last 6 months.

There are 29 open issues and 3 have been closed. On average issues are closed in 1 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of FaceSwap is current.

Quality

FaceSwap has 0 bugs and 0 code smells.

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.

License

FaceSwap is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

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

Build file is available. You can build the component from source.

FaceSwap saves you 157 person hours of effort in developing the same functionality from scratch.

It has 395 lines of code, 32 functions and 8 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.

Computes the Jacobian of the Jacobian
Function to compute the projected projection of a shape
Run Gauss - Newton algorithm
Extract keypoints from a given image
Blend images in src to dst
Transfers src to dst
Calculate shape of mean 3D shape
Draws a shape
Draws a cross line
Draw a mesh
Draw a circle
Render a mesh
Draw the faces
Load a 3D face model from a file
Return the normal vector of a triangle
Flip mesh winding
Flips the winding of a triangle
Compute the faces of the face texture
Run Gauss - Newton algorithm
Returns a list of key points from the input image
Calculate the residuals

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

No Code Snippets are available at this moment for FaceSwap.

Community Discussions

Trending Discussions on FaceSwap

install python 3.7 via google colab as default python

QUESTION

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:

...

ANSWER

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

Vulnerabilities

No vulnerabilities reported

Install FaceSwap

You can download it from GitHub.
You can use FaceSwap 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

If need help or you found the app useful, do not hesitate to let me know. Marek Kowalski m.kowalski@ire.pw.edu.pl, homepage: http://home.elka.pw.edu.pl/~mkowals6/.

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