Showing 1-20 of 86 projects
YOLO models for computer vision tasks
Real-time multi-person keypoint detection for body, face, hands, and foot
Production-ready WiFi-based dense human pose estimation system for real-time full-body tracking through walls.
A set of Jupyter Notebooks that combine Grounding DINO, Segment Anything, and Stable Diffusion for automatic detection, segmentation, and generation of anything in images.
PaddleDetection is an open-source object detection toolkit based on the PaddlePaddle deep learning framework, supporting various computer vision tasks.
A JavaScript library for animating 3D poses of human bodies using AI-powered algorithms.
A real-time and accurate full-body multi-person pose estimation and tracking system written in Python.
Effortless data labeling with AI support from Segment Anything and other powerful models.
A powerful multi-object tracking library with modular SOTA tracking modules for segmentation, detection, and pose estimation.
OpenFace is a state-of-the-art tool for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.
CenterNet is a Python library for object detection, 3D detection, and pose estimation using center point detection.
OpenMMLab Pose Estimation Toolbox and Benchmark for developers working on computer vision and AI-powered applications.
An open-source toolkit for computer vision tasks, supporting a wide range of deep learning models and applications.
A blendshape and kinematics calculator for Mediapipe/Tensorflow.js Face, Eyes, Pose, and Finger tracking models.
Official implementation of DeepLabCut, a markerless pose estimation toolkit for animal behavior analysis using deep learning.
Open-source code repository for realtime multi-person pose estimation, a key computer vision task.
An official PyTorch implementation of a deep learning model for human pose estimation
LightGlue is a high-performance local feature matching library for computer vision tasks like pose estimation.
A curated list of action recognition and related area resources for developers working with computer vision and video processing.
Efficient 3D human pose estimation in video using 2D keypoint trajectories.
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