Contents

face-recognition 1.3.0

0

Recognize faces from Python or from the command line

Recognize faces from Python or from the command line

Stars: 53104, Watchers: 53104, Forks: 13461, Open Issues: 792

The ageitgey/face_recognition repo was created 7 years ago and the last code push was 1 months ago.
The project is extremely popular with a mindblowing 53104 github stars!

How to Install face-recognition

You can install face-recognition using pip

pip install face-recognition

or add it to a project with poetry

poetry add face-recognition

Package Details

Author
Adam Geitgey
License
MIT license
Homepage
https://github.com/ageitgey/face_recognition
PyPi:
https://pypi.org/project/face-recognition/
GitHub Repo:
https://github.com/ageitgey/face_recognition

Classifiers

No  face-recognition  pypi packages just yet.

Errors

A list of common face-recognition errors.

Code Examples

Here are some face-recognition code examples and snippets.

GitHub Issues

The face-recognition package has 792 open issues on GitHub

  • Encoding is not prepared for certain images
  • Can't Install Face Rec on Mac M1
  • Cannot install on Windows 11 from setup.py
  • Segmentation fault (core dumped) - face_recognition
  • Problem import face_recognition
  • Base64
  • base64 encoded image
  • base64
  • Running an efficient query against MySQL
  • Accessing and storing encodings
  • Bump pip from 19.2 to 21.1
  • face_recognition reports version as 1.3.0 and 1.2.3
  • Confidence of detection
  • Online images and base64 images support
  • Added detector parameter to face encodings to choose the face detection model

See more issues on GitHub

Related Packages & Articles

econml 0.15.1

This package contains several methods for calculating Conditional Average Treatment Effects

easyocr 1.7.2

End-to-End Multi-Lingual Optical Character Recognition (OCR) Solution

dtreeviz 2.2.2

A Python 3 library for sci-kit learn, XGBoost, LightGBM, Spark, and TensorFlow decision tree visualization

dowhy 0.11.1

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions

dlib 19.24.6

A toolkit for making real world machine learning and data analysis applications

deepspeed 0.15.2

DeepSpeed is a Python package developed by Microsoft that provides a deep learning optimization library designed to scale across multiple GPUs and servers. It is capable of training models with billions or even trillions of parameters, achieving excellent system throughput and efficiently scaling to thousands of GPUs.

DeepSpeed is particularly useful for training and inference of large language models, and it falls under the category of Machine Learning Frameworks and Libraries. It is designed to work with PyTorch and offers system innovations such as Zero Redundancy Optimizer (ZeRO), 3D parallelism, and model-parallelism to enable efficient training of large models.

datasets 3.0.1

HuggingFace community-driven open-source library of datasets

corextopic 1.1

Hierarchical and semi-supervised topic modeling with minimal domain knowledge through Anchored Correlation Explanation