# tensorboy/pytorch_realtime_multi-person_pose_estimation

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1,372 stars · 407 forks · Python

## Links

- GitHub: https://github.com/tensorboy/pytorch_Realtime_Multi-Person_Pose_Estimation
- awesome-repositories: https://awesome-repositories.com/repository/tensorboy-pytorch-realtime-multi-person-pose-estimation.md

## Description

This project is a deep learning framework built for detecting and tracking human body keypoints in images and video streams. It functions as both a real-time motion tracking system and a machine learning environment for training and evaluating pose estimation models.

The system utilizes a two-branch convolutional neural network to predict body part locations and their directional connections simultaneously. It employs multi-stage feature refinement to improve keypoint localization accuracy and uses greedy parsing and bipartite matching algorithms to associate detected parts into individual skeletons. To maintain performance during live video analysis, the framework executes parallel inference across image regions using tensor-based batch processing.

Beyond real-time tracking, the library provides tools for training models on annotated datasets and calculating mean average precision against standardized benchmarks to verify detection quality. The repository includes the necessary components to manage the full lifecycle of pose estimation, from initial model training to performance validation.

## Tags

### Artificial Intelligence & ML

- [Pose Estimation](https://awesome-repositories.com/f/artificial-intelligence-ml/pose-estimation.md) — Provides a high-performance system for real-time multi-person pose estimation in live video feeds.
- [Pose Estimation Frameworks](https://awesome-repositories.com/f/artificial-intelligence-ml/pose-estimation-frameworks.md) — Implements a PyTorch-based framework specifically architected for detecting and tracking human body keypoints.
- [Vector Field Estimation](https://awesome-repositories.com/f/artificial-intelligence-ml/vector-field-estimation.md) — Predicts part-affinity fields to simultaneously identify body part locations and their directional connections.
- [Pose Estimation Training Pipelines](https://awesome-repositories.com/f/artificial-intelligence-ml/artificial-intelligence-tooling/language-model-integrations/computer-vision-models/pose-estimation-models/pose-estimation-training-pipelines.md) — Provides training pipelines to optimize neural network weights for human pose detection on annotated datasets. ([source](https://github.com/tensorboy/pytorch_realtime_multi-person_pose_estimation#readme))
- [Computer Vision Model Trainers](https://awesome-repositories.com/f/artificial-intelligence-ml/computer-vision-model-trainers.md) — Functions as a specialized environment for training and evaluating computer vision models for pose detection.
- [Greedy Keypoint Grouping](https://awesome-repositories.com/f/artificial-intelligence-ml/computer-vision-systems/computer-vision/object-detection-tracking/joint-detection-embedding-architectures/greedy-keypoint-grouping.md) — Uses greedy keypoint grouping to connect detected body parts into complete human skeletons.
- [Deep Learning Training Toolsets](https://awesome-repositories.com/f/artificial-intelligence-ml/deep-learning-training-toolsets.md) — Offers a comprehensive toolset for training and optimizing deep learning models for pose estimation.
- [Iterative Prediction Refiners](https://awesome-repositories.com/f/artificial-intelligence-ml/model-predictions/prediction-engines/iterative-prediction-refiners.md) — Employs iterative prediction refiners to improve keypoint localization accuracy through successive network layers.

### Graphics & Multimedia

- [Human Pose Detections](https://awesome-repositories.com/f/graphics-multimedia/video-frame-processing/real-time-model-inference-on-frames/human-pose-detections.md) — Identifies and tracks human body keypoints in real-time video streams using deep learning models. ([source](https://github.com/tensorboy/pytorch_realtime_multi-person_pose_estimation#readme))
- [Batch Frame Processing Pipelines](https://awesome-repositories.com/f/graphics-multimedia/batch-video-processing/batch-frame-processing-pipelines.md) — Executes parallel tensor-based batch processing to maintain high frame rates during real-time video analysis.
- [Real-Time Motion Tracking](https://awesome-repositories.com/f/graphics-multimedia/real-time-motion-tracking.md) — Monitors and tracks the positions and movements of multiple people simultaneously in live video feeds.

### Data & Databases

- [Bipartite Matching Algorithms](https://awesome-repositories.com/f/data-databases/graph-computing-systems/graph-theory/graph-libraries/bipartite-matching-algorithms.md) — Implements bipartite matching algorithms to associate detected body parts into individual skeletons.