FaceSwap | Swap face between two photos | Computer Vision library
kandi X-RAY | FaceSwap Summary
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 and it has low support. You can download it from GitHub.
Swap face between two photos for Python 3 with OpenCV and dlib.
Swap face between two photos for Python 3 with OpenCV and dlib.
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Quality
Security
License
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FaceSwap has a low active ecosystem.
It has 612 star(s) with 197 fork(s). There are 18 watchers for this library.
It had no major release in the last 6 months.
There are 1 open issues and 31 have been closed. On average issues are closed in 20 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 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 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.
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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.
Installation instructions, examples and code snippets are available.
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.
- Select the faces of the image
- Detect the face points in the given bounding box
- Detect faces in an image
- Swap one image
- Corrects the colours of two images
- Interpolate pixels using bilinear interpolation
- Compute the transformation between two points
- Process warp image using bilinear interpolation
- Generate triangular matrices
- Return the coordinates of the grid
- Warp src_point to dst_points
- Generate a mask from a set of points
- Warp an image
- Apply a mask to an image
- Select all the faces in the image
- Start the video
- Apply transformation to src_face
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
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 20:16According 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
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.
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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