faceswap | Deepfakes Software For All | Machine Learning library

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

X-Ray Key Features Code Snippets(2)Community Discussions(1)Vulnerabilities Install Support

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.

Support

Quality

Security

License

Reuse

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

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 GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

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

FaceSwap,Trial

Python

Lines of Code : 2

License : Permissive (MIT)

Copy

$ 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

Python

Lines of Code : 1

License : No License

Copy

python Main/run.py

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

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.

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 .

Find more information at: