# Human Pose Estimation Tools

> Search results for `pose estimation for tracking human movement` on awesome-repositories.com. 115 total matches; showing the first 50.

Explore on the web: https://awesome-repositories.com/q/pose-estimation-for-tracking-human-movement

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## Results

- [metagrover/es6-for-humans](https://awesome-repositories.com/repository/metagrover-es6-for-humans.md) (6,987 ⭐) — ES6-for-humans is an educational resource and technical manual providing a structured tutorial and programming guide for the ECMAScript 2015 language standards. It serves as a reference for transitioning from legacy JavaScript to modern syntax and coding patterns.

The project covers modern language constructs including block-scoped variables, arrow functions, and class hierarchies. It provides guidance on implementing functional programming patterns via generators and lexically scoped functions, as well as object-oriented design using prototype-based inheritance.

The documentation covers asy
- [cmu-perceptual-computing-lab/openpose](https://awesome-repositories.com/repository/cmu-perceptual-computing-lab-openpose.md) (34,145 ⭐) — OpenPose is a real-time pose estimation engine designed to detect and track human body, face, hand, and foot landmarks. It functions as a multi-person motion tracker, identifying the spatial coordinates of multiple individuals simultaneously within video streams or static images. Beyond two-dimensional detection, the software acts as a three-dimensional kinematics processor, reconstructing spatial movement data from single or multiple synchronized camera perspectives.

The system distinguishes itself through a bottom-up approach that utilizes part-affinity fields to associate body parts across
- [atsushisakai/pythonrobotics](https://awesome-repositories.com/repository/atsushisakai-pythonrobotics.md) (29,772 ⭐) — PythonRobotics is a comprehensive collection of modular robotics algorithms and educational simulations designed for autonomous navigation, state estimation, and motion control. The project provides a library of standalone implementations for path planning, localization, mapping, and kinematics, serving as a resource for researchers and students to experiment with foundational and advanced robotic theories.

The project distinguishes itself through an algorithm-centric design where each module functions as an isolated script, allowing for independent testing and clear pedagogical demonstration
- [kamranahmedse/design-patterns-for-humans](https://awesome-repositories.com/repository/kamranahmedse-design-patterns-for-humans.md) (47,878 ⭐) — This project is a comprehensive educational resource designed to help developers master object-oriented design and architectural patterns. It serves as a structured reference for understanding how to organize classes and objects to improve code maintainability, resolve recurring development challenges, and prepare for technical engineering assessments.

The guide covers the three primary categories of design patterns: creational, structural, and behavioral. Each pattern is explained through practical examples that demonstrate how to manage object instantiation, simplify complex interfaces, and
- [eduardolundgren/tracking.js](https://awesome-repositories.com/repository/eduardolundgren-tracking-js.md) (9,472 ⭐) — tracking.js is a browser computer vision library written in JavaScript for performing real-time image analysis and object tracking directly within a web browser. It functions as a real-time object tracker, a color tracking tool, and a face detection utility.

The library enables the detection and monitoring of specific color ranges, human faces, and known visual patterns across consecutive video frames. It extracts visual features and descriptors from images to identify distinct landmarks for matching and tracking.

The project covers broad computer vision capabilities, including the ability t
- [microsoft/human-pose-estimation.pytorch](https://awesome-repositories.com/repository/microsoft-human-pose-estimation-pytorch.md) (3,008 ⭐) — The project is an official implement of our ECCV2018 paper  "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"
- [facebookresearch/sam-3d-body](https://awesome-repositories.com/repository/facebookresearch-sam-3d-body.md) (2,628 ⭐) — sam-3d-body is a machine learning framework for 3D human mesh recovery and pose estimation. It utilizes a 3D human mesh recovery model to reconstruct full-body meshes, including the body, hands, and feet, from a single image.

The project implements a specialized extension of the Segment Anything Model to guide the extraction and refinement of human body shapes. This integration allows for prompt-guided mesh recovery, where 2D masks and keypoints constrain the inference of 3D pose and shape parameters.

The system covers a range of computer vision capabilities, including 3D spatial alignment t
- [microsoft/onnxruntime](https://awesome-repositories.com/repository/microsoft-onnxruntime.md) (19,347 ⭐) — This project is a cross-platform machine learning inference engine designed to execute pre-trained models across diverse operating systems and hardware environments. It functions as a standardized execution framework that manages the entire lifecycle of model inference, from loading and graph optimization to hardware-accelerated execution and generative sequence management.

The runtime distinguishes itself through a highly modular architecture that decouples model logic from hardware-specific kernels. By utilizing an execution provider abstraction, it enables developers to offload computation
- [daniil-osokin/lightweight-human-pose-estimation.pytorch](https://awesome-repositories.com/repository/daniil-osokin-lightweight-human-pose-estimation-pytorch.md) (2,239 ⭐) — Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.
- [wongkinyiu/yolov7](https://awesome-repositories.com/repository/wongkinyiu-yolov7.md) (14,110 ⭐) — YOLOv7 is a PyTorch vision library and real-time inference engine designed for object detection, human pose estimation, and instance segmentation. It provides a framework for detecting and locating multiple objects within images or video streams using neural networks.

The system includes tools for custom model training and fine-tuning, allowing pre-trained weights to be adapted to specialized datasets via transfer learning. It also supports model weight export and format conversion to facilitate deployment on production servers and embedded edge devices.
- [abhineet123/deep-learning-for-tracking-and-detection](https://awesome-repositories.com/repository/abhineet123-deep-learning-for-tracking-and-detection.md) (2,508 ⭐) — This project is a curated research repository and structured index focused on deep learning techniques for object detection and tracking. It serves as a centralized archive for academic papers, datasets, and software implementations, providing a cohesive resource for studying methodologies used in image and video analysis.

The repository distinguishes itself through a systematic approach to knowledge management, utilizing hierarchical file organization and metadata-driven tagging to categorize technical literature. By indexing domain-specific datasets and cross-referencing academic resources,
- [davexpro/pytorch-pose-estimation](https://awesome-repositories.com/repository/davexpro-pytorch-pose-estimation.md) (159 ⭐) — PyTorch Implementation of Realtime Multi-Person Pose Estimation project.
- [facebookresearch/detectron2](https://awesome-repositories.com/repository/facebookresearch-detectron2.md) (34,548 ⭐) — Detectron2 is a PyTorch computer vision framework and visual recognition platform designed for training and deploying models for object detection, image segmentation, and visual recognition. It provides a research-oriented environment for training complex vision models with multi-GPU acceleration.

The project includes a specialized object detection library for identifying and locating multiple objects via bounding boxes, as well as an image segmentation toolkit for creating pixel-level masks through instance, semantic, and panoptic segmentation. Additionally, it features a human pose estimati
- [jimmysuen/integral-human-pose](https://awesome-repositories.com/repository/jimmysuen-integral-human-pose.md) (488 ⭐) — Integral Human Pose Regression
- [ruvnet/ruview](https://awesome-repositories.com/repository/ruvnet-ruview.md) (74,285 ⭐) — RuView is a WiFi spatial sensing platform that uses radio frequency reflections to detect presence, track body poses, and monitor vital signs without the use of cameras. It functions as a 3D point-cloud spatial mapper, converting signal disturbances into coordinate sets to visualize physical environments and human movement.

The system operates as a distributed sensing mesh where synchronized nodes use consensus and shared audit trails to maintain data consistency across a swarm. It further acts as an MQTT home automation bridge, streaming real-time spatial telemetry and occupancy data to smar
- [ultralytics/yolov3](https://awesome-repositories.com/repository/ultralytics-yolov3.md) (10,571 ⭐) — This is a real-time object detection framework built on the YOLOv3 architecture, implemented in PyTorch. It provides a complete pipeline for identifying and localizing objects in images and video using a single neural network pass, combining a Darknet-53 backbone with multi-scale feature pyramids and anchor-based bounding box prediction.

The framework extends beyond basic detection to include instance segmentation, human pose estimation, and multi-object tracking across video frames. It offers a model export toolkit that converts trained models through ONNX to CoreML, TensorFlow Lite, and Ten
- [autoscrape-labs/pydoll](https://awesome-repositories.com/repository/autoscrape-labs-pydoll.md) (6,919 ⭐) — pydoll is a Chrome DevTools Protocol automation library and headless browser controller used for web data extraction and parallel browser automation. It controls Chromium-based browsers via direct WebSocket connections, allowing it to manage isolated browser contexts and tabs while bypassing the overhead and detection associated with WebDriver.

The project features an anti-bot evasion framework that mimics natural human behavior, including mouse movements generated via Bezier curves and variable typing patterns. It provides specialized stealth capabilities to bypass behavioral analysis and au
- [daniil-osokin/lightweight-human-pose-estimation-3d-demo.pytorch](https://awesome-repositories.com/repository/daniil-osokin-lightweight-human-pose-estimation-3d-demo-pytorch.md) (0 ⭐) — This repository contains 3D multi-person pose estimation demo in PyTorch. Intel OpenVINO™ backend can be used for fast inference on CPU. This demo is based on Lightweight OpenPose and Single-Shot Multi-Person 3D Pose Estimation From Monocular RGB papers. It detects 2D coordinates of up to…
- [wenbowen123/iros20-6d-pose-tracking](https://awesome-repositories.com/repository/wenbowen123-iros20-6d-pose-tracking.md) (421 ⭐) — [IROS 2020] se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains
- [dusty-nv/jetson-inference](https://awesome-repositories.com/repository/dusty-nv-jetson-inference.md) (8,734 ⭐) — jetson-inference is a set of libraries and tools for executing optimized deep learning models on embedded GPU hardware. Its primary purpose is to enable real-time computer vision and AI inference at the edge with low latency and high throughput.

The project distinguishes itself through high-performance streaming analytics and the ability to execute concurrent AI pipelines on auto-grade silicon. It provides specialized support for multi-sensor stream processing, utilizing zero-copy data transport to load camera frames directly into GPU memory.

The codebase covers a broad surface of capabiliti
- [livekit/livekit](https://awesome-repositories.com/repository/livekit-livekit.md) (19,358 ⭐) — LiveKit is a comprehensive framework for building and orchestrating real-time, multimodal AI agents that interact with users through voice, video, and text. It provides a centralized, event-driven architecture to manage the entire lifecycle of automated participants, from initialization and session state management to graceful shutdown. By utilizing a selective forwarding unit, the platform efficiently routes media streams between participants and agents, ensuring low-latency communication and secure, token-based authentication for all connections.

The platform distinguishes itself through it
- [paddlepaddle/paddledetection](https://awesome-repositories.com/repository/paddlepaddle-paddledetection.md) (14,243 ⭐) — PaddleDetection is an object detection framework designed for the end-to-end development, training, and deployment of computer vision models. It provides a comprehensive library of modular neural network architectures and pipelines that support object detection, instance segmentation, and multi-object tracking tasks.

The project distinguishes itself through a configuration-driven approach that decouples model components like backbones and heads, allowing for the flexible assembly of custom vision workflows. It incorporates advanced techniques such as anchor-free detection logic, joint detecti
- [guanghan/gnet-pose](https://awesome-repositories.com/repository/guanghan-gnet-pose.md) (88 ⭐) — Source code release of the paper: Knowledge-Guided Deep Fractal Neural Networks for Human Pose Estimation.
- [ildoonet/tf-pose-estimation](https://awesome-repositories.com/repository/ildoonet-tf-pose-estimation.md) (0 ⭐)
- [mihonapp/mihon](https://awesome-repositories.com/repository/mihonapp-mihon.md) (21,400 ⭐) — Mihon is a content aggregation client and manga reader application designed to manage digital comic libraries. It provides a centralized interface for organizing personal collections and tracking reading progress across various series.

The application distinguishes itself through a modular architecture that supports dynamic extension loading, allowing users to integrate third-party content sources directly into the interface. It enables aggregated content discovery by executing concurrent searches across multiple providers, consolidating results into a unified view.

Beyond basic reading, the
- [gaoxiang12/slambook](https://awesome-repositories.com/repository/gaoxiang12-slambook.md) (7,440 ⭐) — Slambook is a visual SLAM framework designed for simultaneous localization and mapping. It provides an integrated system to estimate camera motion and reconstruct 3D environments using visual sensor data.

The project includes a visual odometry engine to track camera movement and a dense 3D reconstruction tool for creating volumetric representations of scenes. It features a loop closure detection system to recognize previously visited locations and a pose graph optimizer to refine trajectories and ensure global map consistency.

The framework covers spatial estimation and environment modeling
- [bearpaw/pytorch-pose](https://awesome-repositories.com/repository/bearpaw-pytorch-pose.md) (0 ⭐) — PyTorch-Pose is a PyTorch implementation of the general pipeline for 2D single human pose estimation. The aim is to provide the interface of the training/inference/evaluation, and the dataloader with various data augmentation options for the most popular human pose databases (e.g., the MPII…
- [open-mmlab/mmpose](https://awesome-repositories.com/repository/open-mmlab-mmpose.md) (7,374 ⭐) — MMPose is a PyTorch-based pose estimation toolbox and deep learning training pipeline designed for detecting 2D and 3D keypoints on humans, animals, and faces. It serves as a computer vision model zoo and a framework for both 2D pose estimation and 3D pose lifting.

The project is distinguished by its modular architecture and extensibility, employing a registry-based system and hierarchical configurations to allow for custom algorithm integration and model pipeline customization. It supports diverse estimation paradigms, including top-down, bottom-up, and two-stage pose lifting workflows.

The
- [dubinc/dub](https://awesome-repositories.com/repository/dubinc-dub.md) (23,722 ⭐) — This project is a comprehensive link management and marketing attribution platform designed for creating, tracking, and analyzing shortened URLs. It functions as a centralized hub for marketing analytics, providing tools to monitor link performance, visualize conversion funnels, and manage affiliate programs through a unified dashboard.

The platform distinguishes itself by integrating advanced attribution modeling and partner management directly into the link infrastructure. It supports complex marketing workflows, including automated commission calculations, fraud detection, and payout distr
- [eldar/pose-tensorflow](https://awesome-repositories.com/repository/eldar-pose-tensorflow.md) (1,143 ⭐) — Here you can find the implementation of the Human Body Pose Estimation algorithm, presented in the DeeperCut and ArtTrack papers:
- [nvidia/isaac-gr00t](https://awesome-repositories.com/repository/nvidia-isaac-gr00t.md) (6,222 ⭐)
- [facebookresearch/maskrcnn-benchmark](https://awesome-repositories.com/repository/facebookresearch-maskrcnn-benchmark.md) (9,370 ⭐) — This project is a modular PyTorch framework for training and evaluating object detection and instance segmentation models. It serves as a computer vision research tool and a deep learning inference engine designed to identify object locations, classes, and pixel-level masks within images.

The framework implements a two-stage inference pipeline that utilizes region proposal networks and a symmetric mask-head architecture. It provides specialized capabilities for instance segmentation, object bounding box detection, and human pose estimation via anatomical keypoint detection.

The system includ
- [human-avatar/skills-for-humanity](https://awesome-repositories.com/repository/human-avatar-skills-for-humanity.md) (174 ⭐) — Structured reasoning methodologies from history's most rigorous thinkers, packaged as Claude Code skills.
- [langchain-ai/langchainjs](https://awesome-repositories.com/repository/langchain-ai-langchainjs.md) (17,818 ⭐) — LangChain.js is a framework for building, executing, and monitoring stateful agentic applications. It provides an orchestration engine that models workflows as directed graphs, allowing developers to connect language models, data sources, and external tools into modular, multi-step processes.

The platform distinguishes itself through its focus on stateful execution and human-in-the-loop control. It manages agent lifecycles by persisting execution state across threads, enabling fault tolerance and the ability to pause workflows at designated breakpoints for manual review or modification. This
- [hybridgroup/gocv](https://awesome-repositories.com/repository/hybridgroup-gocv.md) (7,463 ⭐) — GoCV is a computer vision library and Go language binding for OpenCV. It serves as an image processing toolkit and deep learning inference engine, providing programmatic access to a wide range of algorithms for image manipulation, object detection, and video analysis.

The project differentiates itself through high-performance native bindings and hardware acceleration. It utilizes a foreign function interface to map Go calls to C++ functions and includes a hardware-agnostic backend dispatch to route neural network tasks to computation engines such as CUDA and OpenVINO.

The library covers a br
- [conductor-oss/conductor](https://awesome-repositories.com/repository/conductor-oss-conductor.md) (31,962 ⭐) — Conductor is a durable workflow engine designed to orchestrate complex, long-running business processes and autonomous agent loops. It functions as a stateful execution platform that persists the entire history of a process, ensuring that workflows remain reliable and recoverable across infrastructure failures, system restarts, and transient network errors. By managing task lifecycles, worker polling, and state transitions, it provides a centralized coordination layer for distributed systems.

The platform distinguishes itself through its specialized support for AI agent orchestration, allowin
- [vladmandic/human](https://awesome-repositories.com/repository/vladmandic-human.md) (2,999 ⭐) — Human is a TensorFlow.js computer vision library used for face, body, and hand tracking within the browser or Node.js. It provides a framework for human pose and gesture tracking, facial recognition, and biometric liveness detection to verify a live human presence.

The project distinguishes itself through a full suite of identity and motion tools, including a facial recognition framework that generates embeddings for similarity matching and a background segmenter for separating humans from their environment. It incorporates a liveness detector to prevent spoofing during facial analysis.

The
- [freemocap/freemocap](https://awesome-repositories.com/repository/freemocap-freemocap.md) (9,212 ⭐) — FreeMoCap is an open-source markerless motion capture system that reconstructs 3D human pose from video. It uses a multi-camera setup with ChArUco board calibration to accurately triangulate body landmarks, and it also supports single-camera recording for simpler captures. The system outputs skeleton joint data and generates interactive Jupyter notebooks for each recording, enabling users to explore and analyse motion data directly.

Built around hardware-synchronised video capture and MediaPipe-based 2D pose detection, FreeMoCap supports both calibrated multi-camera recording and real-time 2D
- [bvaughn/progress-estimator](https://awesome-repositories.com/repository/bvaughn-progress-estimator.md) (2,131 ⭐) — Logs a progress bar and estimation for how long a Promise will take to complete. This library tracks previous durations in order to provide more accurate estimates over time.
- [fastshift/x-track](https://awesome-repositories.com/repository/fastshift-x-track.md) (6,250 ⭐) — X-Track is a firmware project for an embedded bicycle computer that combines GPS-based speed and ride metrics with offline map navigation. It functions as a GPS bicycle speedometer, displaying speed, distance, altitude, and other ride data on a handlebar-mounted screen, while also serving as an offline map viewer that renders locally stored map tiles without an internet connection.

The project distinguishes itself by including a firmware emulator that runs the embedded code on a PC, enabling development and testing without physical hardware. It also provides GPS-based clock calibration to aut
- [facebookresearch/videopose3d](https://awesome-repositories.com/repository/facebookresearch-videopose3d.md) (3,986 ⭐) — VideoPose3D is a machine learning framework designed for 3D human pose estimation. It functions as a motion reconstruction tool that predicts 3D joint positions from 2D video sequences using a temporal convolutional network to process body movement over time.

The project includes a semi-supervised learning pipeline that improves pose accuracy by combining labeled datasets with unlabeled video data and projection consistency loss. It also features a video pose visualizer capable of rendering 3D skeleton reconstructions and 2D keypoints as overlays on original footage.

The framework covers the
- [zheeeng/pointer-lock-movement](https://awesome-repositories.com/repository/zheeeng-pointer-lock-movement.md) (25 ⭐) — A pointer lock movement manager for customizing your own creative UI.
- [davila7/claude-code-templates](https://awesome-repositories.com/repository/davila7-claude-code-templates.md) (20,933 ⭐) — Claude Code Templates is a comprehensive framework for orchestrating specialized AI agents and automating development workflows within local environments. It provides a structured system for defining, configuring, and deploying AI personas that handle specific technical tasks, ranging from backend architecture and frontend implementation to security auditing and infrastructure management.

The project distinguishes itself through a configuration-driven approach that allows teams to standardize development environments and share reusable agent definitions across projects. It includes a robust C
- [ultralytics/ultralytics](https://awesome-repositories.com/repository/ultralytics-ultralytics.md) (58,468 ⭐) — Ultralytics is a comprehensive computer vision framework designed for training, validating, and deploying deep learning models across a wide range of visual recognition tasks. It provides a unified interface for core operations including object detection, instance segmentation, pose estimation, and image classification. By utilizing a modular architecture, the platform allows users to swap model components to balance inference speed and accuracy requirements for diverse applications.

The framework distinguishes itself through its support for real-time processing and flexible deployment. It in
- [meilisearch/meilisearch](https://awesome-repositories.com/repository/meilisearch-meilisearch.md) (58,118 ⭐) — Meilisearch is a Rust-based search engine providing typo-tolerant full-text and vector-based semantic search with real-time conversational capabilities.
- [custom-humans/editable-humans](https://awesome-repositories.com/repository/custom-humans-editable-humans.md) (187 ⭐) — Official code release for CVPR 2023 paper Learning Locally Editable Virtual Humans.
- [microsoft/computervision-recipes](https://awesome-repositories.com/repository/microsoft-computervision-recipes.md) (9,866 ⭐) — This project is a collection of educational resources and implementation frameworks providing deep learning model recipes, code samples, and step-by-step guides for computer vision tasks. It organizes complex workflows into modular recipes and implementation guides to facilitate the building of image and video analysis models.

The framework focuses on specialized vision capabilities, including an image similarity framework for fast retrieval and re-ranking, human pose estimation, and video action recognition. It also provides specific tools for crowd density estimation and document image clea
- [bloxstraplabs/bloxstrap](https://awesome-repositories.com/repository/bloxstraplabs-bloxstrap.md) (3,034 ⭐) — Bloxstrap is a custom game bootstrapper and configuration tool for Roblox. It replaces the standard launcher to enable advanced startup configurations, inject internal engine flags, and manage a specialized installation directory.

The project provides a client mod manager that allows users to override local assets, such as sounds, textures, and fonts, and ensures these customizations persist across game updates. It includes a configuration utility to unlock hidden graphics settings and engine parameters, alongside a server tracker that identifies the geographic location of active game servers
- [opencv/opencv_contrib](https://awesome-repositories.com/repository/opencv-opencv-contrib.md) (10,116 ⭐) — This project is a collection of optional, community-contributed algorithms and specialized vision tools that extend the core OpenCV framework. It serves as a comprehensive library of extra modules for computer vision research, providing advanced toolsets for image processing, visual data analysis, and object detection.

The library includes specialized frameworks for augmented reality tracking, biometric face recognition, and three-dimensional pose estimation. It provides distinct capabilities for identifying AR markers, tracking 3D object silhouettes, and performing neural network vulnerabili
- [salihkaragoz/pose-residual-network-pytorch](https://awesome-repositories.com/repository/salihkaragoz-pose-residual-network-pytorch.md) (285 ⭐) — Code for the Pose Residual Network introduced in 'MultiPoseNet: Fast Multi-Person  Pose Estimation using Pose Residual Network' paper https://arxiv.org/abs/1807.04067