Fast, flexible, and advanced augmentation library for deep learning, computer vision, and medical imaging. Albumentations offers a wide range of transformations for both 2D (images, masks, bboxes, keypoints) and 3D (volumes, volumetric masks, keypoints) data, with optimized performance and seamless integration into ML workflows.
Fast, flexible, and advanced augmentation library for deep learning, computer vision, and medical imaging. Albumentations offers a wide range of transformations for both 2D (images, masks, bboxes, keypoints) and 3D (volume data, volumetric masks, keypoints) data, with optimized performance and seamless integration into ML workflows. Available under AGPL-3.0-only or a commercial license with agreed coverage for your team, products, and deployments.
Pretrained Pytorch face detection and recognition models
RetinaFace: Deep Face Detection Framework in TensorFlow, PyTorch and ONNX for Python
Multitask Cascaded Convolutional Networks for face detection and alignment (MTCNN) in Python >= 3.10 and TensorFlow >= 2.12
UniFace: A Unified Face Analysis Library for Python
Video anonymization by face detection
Tools to simplify using face detection and ArUco recognition with PIL image objects
Face detection using boosted LBP features
Fork of Albumentations in direct support of NRTK (Natural Robustness Toolkit). Fast, flexible, and advanced augmentation library for deep learning, computer vision, and medical imaging. Offers a wide range of transformations for both 2D (images, masks, bboxes, keypoints) and 3D (volumes, volumetric masks, keypoints) data, with optimized performance and seamless integration into ML workflows.
A Python port of Google MediaPipe Face Detection modules
thumbor_aws provides extensions for thumbor using AWS
Batch Face Preprocessing for Modern Research
A library to detect anime faces in images.
MediaPipe Tasks API wrapper for Python computer vision
Face related toolkit
Implements tools for spoofing or presentation attack detection in face biometrics
MCP server for the AceDataCloud Face Transform API (keypoints, beautify, age/gender, swap, cartoon, liveness)
Facial expression recognition from images
Anime face detection and facial landmark estimation in pure PyTorch
Bob wrapper for Menpo's face keypoint detector
A simple and lightweight package for state of the art face detection with GPU support.
A python library for face detection and features extraction based on mediapipe library
EmotiEffLib Python Library for Facial Emotion and Engagement Recognition
Module de détection faciale pour la modération de contenu
High-performance face detection, recognition, and manipulation library with GPU acceleration
A face detection library based on libfacedetection
Complementary countermeasures for detecting scenic face spoofing attacks
Face unlock for Linux with real liveness detection
MTCNN face detection using OpenCV
Face detection and landmark extraction using MTCNN pretrained model
Intelligent video reframing library that automatically crops videos to different aspect ratios while preserving important content
Efficient face detection using SCRFD
Modular DNN-based ID document reading framework (face detection, OCR, MRZ) optimized for CPU deployment
Make Immich home videos searchable by scene, face and speech, without forking Immich or touching its database.
State-of-the-art face detection and landmarks localization
CLIP for deepfakes: face forgery detection aligned with CLIP text embeddings
Revolutionize Biometric Authentication with OpenCV Face Recognition: Top-Rated Accuracy & Liveness Detection
Library that combines Robotics Hardware, iPhone and AI for Everyone
Easy to use Face Recognition and Detection models.
Face detection and recognition built on YuNet and SFace — a small, typed, dependency-light Python library.
Python module for portrait picture analysis
Weights for the models in fdet-offline.
CompreFace Python SDK makes face recognition into your application even easier.
A simple spam detection library using a pre-trained model from Hugging Face
Video processing (including face detection, tracking, and clustering)