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Downstream-Dino-V2: A GitHub repository featuring an easy-to-use implementation of the DINOv2 model by Facebook for downstream tasks such as Classification, Semantic Segmentation and Monocular dept…
PyTorch code and models for the DINOv2 self-supervised learning method.
A trusty face analysis research platform developed by Tencent Youtu Lab
InspireFace is a cross-platform face recognition SDK developed in C/C++, supporting multiple operating systems and various backend types for inference, such as CPU, GPU, and NPU.
Android face detection 30+ FPS, pretrained weight 1MB.
SeetaFace 6: Newest open and free, full stack face recognization toolkit.
java人脸识别,人脸检测和关键点定位， 人脸特征提取和对比， 人脸特征提取， 人脸特征对比， 活体检测， 人脸跟踪， 质量评估， 年龄识别， 性别识别， 口罩检测， 口罩人脸识别， 眼睛状态检测
Face Recognition FRVT, Face Liveness Detection, Face Recognition , Face Liveness, Face Identification, Face Compare, Face Matching, Face Pose, Face Expression, Face Attributes, Face Landmarks, Face…
🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥
papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face D…
🛠A lite C++ AI toolkit: 100+ models with MNN, ORT and TRT, including Det, Seg, Stable-Diffusion, Face-Fusion, etc.🎉
手势识别系统源码分享[一条龙教学YOLOV8标注好的数据集一键训练_70+全套改进创新点发刊_Web前端展示]
[TMM 2024] Implementation of the paper “Temporal Decoupling Graph Convolutional Network for Skeleton-based Gesture Recognition”.
This Python project utilizes MediaPipe to recognize hand landmarks in images, videos, and webcam streams. It detects and locates 21 key points on the hand, offering a simple and efficient solution …
微信小程序组件 / API / 云开发示例
PyTorch & CoreML implementation of MediaPipe Hands
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
A minimal solution to hand motion capture from a single color camera at over 100fps. Easy to use, plug to run.
YOLOv10: Real-Time End-to-End Object Detection [NeurIPS 2024]
《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀