Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
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Updated
Jun 12, 2024 - Python
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
Welcome to the OpenCV Face Recognition repository. OpenCV Face Recognition product offers world-class face recogition ranked top 10 in NIST FRVT, powered by Seventh Sense.
适用于复杂场景的人脸识别身份认证系统
The collection of pre-trained, state-of-the-art AI models for ailia SDK
MetaTube Plugin for Jellyfin/Emby
Machine vision apps
RetinaFace: Deep Face Detection Library for Python
A face detection sample prototype with cvzone and OpenCV-python
A simple prototype to detect human faces using haarcascade algorithm in images, videos and webcam
Demonstration of different algorithms and operations on faces. Star the repo⭐
State-of-the-art 2D and 3D Face Analysis Project
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.
Contains interesting projects like Cat face detection, cat face recognition, code generation, Building chatbot, finding similar documents, image segmentation, UCI credit card, anomaly detection, MNIST etc.
Obscurra helps you anonymize images by detecting and blurring faces with OpenCV. It supports multiple image formats and features a modular design, making it a reliable choice for privacy protection tasks.
Nextcloud app that implement a basic facial recognition system.
Face tracking plugin for OBS Studio
Video transcription, speaker diarization, and face detection in Python.
An open-source toolkit which is full of handy functions, including the most used models and utilities for deep-learning practitioners!
A Browser extension that enables you to navigate the web with respect for your Islamic values, protect your privacy and reduce browsing distractions by auto detecting and blurring "Haram" content.
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