Showing 1-20 of 31 projects
YOLO models for computer vision tasks
Real-time multi-person keypoint detection for body, face, hands, and foot
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.
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.
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.
A Python library for easy and robust visual localization using deep learning and feature matching.
A PyTorch implementation of the SuperGlue graph neural network for feature matching and pose estimation.
A Python library for generating photorealistic training images using the Blender 3D software.
An open-source library for local feature matching using Transformers, useful for 3D vision and pose estimation tasks.
A comprehensive collection of resources for human pose estimation using computer vision and deep learning.
A collection of pre-trained, state-of-the-art AI models for the ailia SDK, supporting a wide range of computer vision and natural language processing tasks.
A simple vision transformer baseline for human pose estimation, with pre-trained models and advanced capabilities.
A toolkit for easier and faster deployment of YOLO (You Only Look Once) object detection models using NVIDIA TensorRT.
A comprehensive list of Implicit Representations and NeRF papers relating to Robotics/RL domain.
A Python library for differentiable robotics and pose estimation using deep learning and optimization.
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