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openpose

Appears in 7 awesome lists

Real-time multi-person keypoint detection library for body, face, hands, and foot estimation. Licence: permissible for non-profits and research organizations, commercial for for profit companies.

Open github.comcmu-perceptual-computing-lab/openpose

Found in these lists

Awesome Action Recognition:

Section: Pose Estimation · Caffe based realtime pose estimation library from CMU.

StaleScore 50

Awesome Human Pose Estimation

Section: Others

StaleScore 49

Awesome Machine Learning

Section: C++ · A real-time multi-person keypoint detection library for body, face, hands, and foot estimation

FreshScore 93

Awesome Video

Section: Media Tools · A real-time multi-person keypoint detection library (for body, face, and hands) by CMU. Often used on video to extract pose information frame-by-frame for animation or analysis.

ActiveScore 77

Awesome Weekly Robotics

Section: Libraries and Frameworks · Real-time multi-person keypoint detection library for body, face, hands, and foot estimation. Licence: permissible for non-profits and research organizations, commercial for for profit companies.

ActiveScore 68

Computer Vision Pretrained Models

Section: Caffe · OpenPose represents the first real-time multi-person system to jointly detect human body, hand, and facial keypoints (in total 130 keypoints) on single images.

StaleScore 50

awesome-cpp

Section: Other · OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

FreshScore 79

XGBoost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow. [Apache2]

In 11 listsDetails

CatBoost

General purpose gradient boosting on decision trees library with categorical features support out of the box. It is easy to install, contains fast inference implementation and supports CPU and GPU (even multi-GPU) computation.

In 10 listsDetails

Caffe

is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR)/The Berkeley Vision and Learning Center (BVLC) and community contributors.

In 10 listsDetails

Polyaxon

MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle. Reproducible and scalable machine learning workflows on Kubernetes with experiment tracking, model management, and pipeline orchestration. Apache 2.0 licensed.

In 9 listsDetails

LightGBM

Microsoft's fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

In 8 listsDetails

OpenCV

An open source computer vision and machine learning library with extensive support for image and video analysis. Often used for video processing tasks like object detection, tracking, and filtering.

In 7 listsDetails

Opik

Open source engineering platform to debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards. (Source Code)

In 6 listsDetails

CNTK

The Computational Network Toolkit (CNTK) by Microsoft Research, is a unified deep-learning toolkit that describes neural networks as a series of computational steps via a directed graph.

In 6 listsDetails