The world's simplest facial recognition api for Python and the command line
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State-of-the-art 2D and 3D Face Analysis Project
JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
Face recognition using Tensorflow
An open source library for face detection in images. The face detection speed can reach 1000FPS.
Content aware image resize library
papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;
Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.
Damselfly is a server-based Photograph Management app. The goal of Damselfly is to index an extremely large collection of images, and allow easy search and retrieval of those images, using metadata such as the IPTC keyword tags, as well as the folder and file names. Damselfly includes support for object/face detection.
Dockerized application that resizes and crops images on the fly, delivering optimized images in formats such as AVIF, WebP, MozJPEG, or PNG using ImageMagick, with an efficient caching system.
Self-hosted open-source web gallery to view your photos and videos featuring mobile-friendly, tagging and AI powered image discovery
😎 face releated algorithm, dataset and paper
✂️ Detect and crop faces, barcodes and texts in image with iOS 11 Vision api.
Calculate the distance and angle of your device with regards to your face
Face detection using deep learning.
No description provided by the repository host.
Micropython binding for the ESP32 DL AI vision models like face detection / recognition, imagenet classifier or pedestrian (human) detection