LightTrack: A Generic Framework for Online Top-Down Human Pose Tracking
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Updated
May 7, 2020 - Python
LightTrack: A Generic Framework for Online Top-Down Human Pose Tracking
🔥SLAM, VIsual localization, keypoint detection, Image matching, Pose/Object tracking, Depth/Disparity/Flow Estimation, 3D-graphic, etc. related papers and code
[IROS 2021] BundleTrack: 6D Pose Tracking for Novel Objects without Instance or Category-Level 3D Models
[NeurIPS'21] Unified tracking framework with a single appearance model. It supports Single Object Tracking (SOT), Video Object Segmentation (VOS), Multi-Object Tracking (MOT), Multi-Object Tracking and Segmentation (MOTS), Pose Tracking, Video Instance Segmentation (VIS), and class-agnostic MOT (e.g. TAO dataset).
[CVPR 2022 Oral] Official PyTorch Implementation of "GLAMR: Global Occlusion-Aware Human Mesh Recovery with Dynamic Cameras”.
Headless DeepLabCut (no GUI support)
Quickly add MediaPipe Pose Estimation and Detection to your iOS app. Enable powerful features in your app powered by the body or hand.
A native android application for pose estimation and detection using mlkit. The app can detect poses and recognize the pose made by the user.
Lela is a smart dietician who can help you to maintain diet and it also has Yoga posture detection feature where users can practice yoga at their home. https://lela-dietician.herokuapp.com
Implementing the ML Kit Pose Detection on stored video file
OpenPifPaf plugin for Posetrack
PoseNet Using Unity MLAgents Barracuda Engine
BlazePose: Body Segmentation for TFJS and NodeJS
juxtapose: Multi-Person Pose Tracking Inference SDK with RTMDet, YOLOv8, GDino, RTMPose (ONNX) & Trackers (ByteTrack & BotSORT) & Tapnet with custom ROIs + FastAPI GPU exe
[ECCV24] Keypoint Promptable Re-Identification: SOTA ReID method robust to occlusions and multi-person ambiguity
Unsupervised way for Pose guided Anime Video Generation using Generative Adversarial Networks.
Pose replication using Posenet
Deep Learning Approach for UWB Applications (IEEE Journal of Biomedical and Health Informatics)
A simple real-time 2D self-pose tracking algorithm using monocular visual odometry.
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