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

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Support

Quality

Security

License

Reuse

Support

faceswap has a medium active ecosystem.

It has 44164 star(s) with 12199 fork(s). There are 1511 watchers for this library.

It had no major release in the last 12 months.

There are 17 open issues and 784 have been closed. On average issues are closed in 26 days. There are 2 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

faceswap Support

Best in #Machine Learning

Average in #Machine Learning

faceswap Support

Best in #Machine Learning

Average in #Machine Learning

Quality

faceswap has 0 bugs and 0 code smells.

faceswap Quality

Best in #Machine Learning

Average in #Machine Learning

faceswap Quality

Best in #Machine Learning

Average in #Machine Learning

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.

faceswap Security

Best in #Machine Learning

Average in #Machine Learning

faceswap Security

Best in #Machine Learning

Average in #Machine Learning

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.

faceswap License

Best in #Machine Learning

Average in #Machine Learning

faceswap License

Best in #Machine Learning

Average in #Machine Learning

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.

faceswap Reuse

Best in #Machine Learning

Average in #Machine Learning

faceswap Reuse

Best in #Machine Learning

Average in #Machine Learning

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

Gather photos and/or videos

Extract faces from your raw photos

Train a model on the faces extracted from the photos/videos

Convert your sources with the model

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/tmpl_1_inp_2.png

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

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:

%cd "/content/faceit"
!rm -rf faceswap
!git clone  https://github.com/deepfakes/faceswap.git
%cd faceswap
!python setup.py

The reason is that,when i try to install faceswap in google colab i get this error:

/content/faceit
Cloning into 'faceswap'...
remote: Enumerating objects: 7725, done.
remote: Total 7725 (delta 0), reused 0 (delta 0), pack-reused 7725
Receiving objects: 100% (7725/7725), 194.20 MiB | 31.66 MiB/s, done.
Resolving deltas: 100% (5338/5338), done.
/content/faceit/faceswap
INFO    Running as Root/Admin
INFO    The tool provides tips for installation
        and installs required python packages
INFO    Setup in Linux 4.19.112+
INFO    Installed Python: 3.6.9 64bit
ERROR   Please run this script with Python version 3.7 or 3.8 64bit and try again.

So based of the different python module which needs to be installed by different files, it needs to install python 3.7 and set it as python default command.

I would appropriate, any help to solve it.

Thanks.

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

# install Anaconda3
!wget -qO ac.sh https://repo.anaconda.com/archive/Anaconda3-2020.07-Linux-x86_64.sh 
!bash ./ac.sh -b

# a fake google.colab library
!ln -s /usr/local/lib/python3.6/dist-packages/google \
       /root/anaconda3/lib/python3.8/site-packages/google

# start jupyterlab, which now has Python3 = 3.8
!nohup /root/anaconda3/bin/jupyter-lab --ip=0.0.0.0&

# access through ngrok, click the link
!pip install pyngrok -q
from pyngrok import ngrok
print(ngrok.connect(8888))

Additionally, I recommend you to use it by specifying the Python version to run a script on colab.

# Install the python version
!apt-get install python3.7

# Select the version
!python3.7 setup.py

You can see this example I have tried.

If you will use multiple library versions, you can also use virtualenv on colab by specify the python version with --python option. Foe example:

virtualenv env --python=python3.7

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: