Contents

facexlib 0.3.0

0

Basic face library

Basic face library

Stars: 829, Watchers: 829, Forks: 145, Open Issues: 33

The xinntao/facexlib repo was created 3 years ago and the last code push was 7 months ago.
The project is popular with 829 github stars!

How to Install facexlib

You can install facexlib using pip

pip install facexlib

or add it to a project with poetry

poetry add facexlib

Package Details

Author
Xintao Wang
License
Apache License 2.0
Homepage
https://github.com/xinntao/facexlib
PyPi:
https://pypi.org/project/facexlib/
GitHub Repo:
https://github.com/xinntao/facexlib

Classifiers

No  facexlib  pypi packages just yet.

Errors

A list of common facexlib errors.

Code Examples

Here are some facexlib code examples and snippets.

GitHub Issues

The facexlib package has 33 open issues on GitHub

  • Does paste_faces_to_input_image support PNG transparency?

See more issues on GitHub

Related Packages & Articles

pytorch-lightning 2.4.0

PyTorch Lightning is the lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate.

petastorm 0.12.1

Petastorm is a library enabling the use of Parquet storage from Tensorflow, Pytorch, and other Python-based ML training frameworks.

onnx 1.17.0

Open Neural Network Exchange (ONNX) is an open ecosystem that empowers AI developers to choose the right tools as their project evolves. ONNX provides an open source format for AI models, both deep learning and traditional ML. It defines an extensible computation graph model, as well as definitions of built-in operators and standard data types. Currently we focus on the capabilities needed for inferencing (scoring).

livelossplot 0.5.5

Live training loss plot in Jupyter Notebook for Keras, PyTorch and others.

kornia 0.7.3

Open Source Differentiable Computer Vision Library for PyTorch