faceswap | Python script to put facial features | Machine Learning library

by matthewearl Python Version: Current License: MIT

X-Ray Key Features Code Snippets(2)Community Discussions(4)Vulnerabilities Install Support

kandi X-RAY | faceswap Summary

faceswap is a Python library typically used in Telecommunications, Media, Advertising, Marketing, Artificial Intelligence, Machine Learning applications. faceswap has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. However faceswap build file is not available. You can download it from GitHub.

This is the code behind the Switching Eds blog post. See the link for an explanation of the code. To run the script you'll need to install dlib (including its Python bindings, and OpenCV. You'll also need to obtain the trained model from sourceforge.

Support

Quality

Security

License

Reuse

Support

faceswap has a medium active ecosystem.

It has 1344 star(s) with 495 fork(s). There are 57 watchers for this library.

It had no major release in the last 6 months.

There are 16 open issues and 3 have been closed. On average issues are closed in 0 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of faceswap is current.

Quality

faceswap has 0 bugs and 2 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.

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

Installation instructions are not available. Examples and code snippets are available.

faceswap saves you 42 person hours of effort in developing the same functionality from scratch.

It has 113 lines of code, 8 functions and 1 files.

It has medium 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.

Generate a mask for a given image
Draws a convex hull
Reads an image and returns it
Extract the landmarks from an image
Compute the transformation between two points
Corrects the colours of the image
Warp an image

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

FFMPEG image sequence with longer durations after generated an output video

Cannot "pip install pynvx"

Can't cast type object (which is a Bitmap) to Bitmap

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

QUESTION

FFMPEG image sequence with longer durations after generated an output video

Asked 2019-Jun-22 at 13:43

I'm using this library to create a deepfake video. The problem is the original duration video is shorter than the generated one. Original is 35 seconds but generated is 41 seconds. Image frames captured and converted are same, 1037 frames.

I'm using this command to generate the video.

...

ANSWER

Answered 2019-Jun-21 at 16:20

1037 frames /25 fps = 41.48s

Your video appears to be 30 fps*.

ffmpeg -framerate 30 -i video-frame-%0d.png -c:v libx264 -vf "format=yuv420p" out.mp4

*It may be 29.97 i.e. exactly 30000/1001 fps.

Source https://stackoverflow.com/questions/56706130

QUESTION

Cannot "pip install pynvx"

Asked 2018-Dec-01 at 02:18

I'm currently doing a project to learn how to use deepfake in videos, but encountered some problems setting up. I ran this command: pip3 install pynvx and also tried pip install pynvx, but none seems to work.

It spits out this error, hopefully someone could bless me with your skill:

...

ANSWER

Answered 2018-Dec-01 at 02:18

Oh, solved it, I google pynvx and a PyPi page popped up, went to Downloads Page and downloaded their pynvx-0.0.4.tar.gz file, and installed it using $pip install pynvx-0.0.4.tar.gz

Thank you to @a_guest for your help top!

Source https://stackoverflow.com/questions/53567165

QUESTION

Can't cast type object (which is a Bitmap) to Bitmap

Asked 2018-Sep-19 at 20:16

I have the following code:

...

ANSWER

Answered 2018-Sep-19 at 20:16

The Clone method returns a type of object.

However nClone is of type Bitmap.

To case it you should use

Source https://stackoverflow.com/questions/52413562

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

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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