RepoPilot

what does this repo do

About cmu-perceptual-computing-lab/openpose · 4 messages · last activity 8/29/2026

Question

what does this repo do

RepoPilot

The cmu-perceptual-computing-lab/openpose repository is a real-time multi-person keypoint detection library for human pose estimation.

According to the README, OpenPose is the first real-time multi-person system to jointly detect human body, hand, facial, and foot keypoints — detecting a total of 135 keypoints across single images. It was authored by Ginés Hidalgo, Zhe Cao, Tomas Simon, Shih-En Wei, Yaadhav Raaj, Hanbyul Joo, and Yaser Sheikh, and is maintained by Ginés Hidalgo and Yaadhav Raaj.

Key capabilities:

  • Multi-person pose detection (body, face, hands, and feet)
  • Real-time performance
  • Support for multiple platforms (Linux, MacOS, Windows)

The repository is written primarily in C++, CUDA, and CMake, with Python support. It has 34,069 stars and 8,055 forks on GitHub.

⚠️ Important caveat: According to the RepoPilot analysis, this repository has a WAIT — Stale verdict with the last commit 2 years ago, which means the codebase has not been actively maintained recently.

FOLLOW_UPS:

  • How do I build and compile OpenPose?
  • What neural network models does OpenPose use?
  • Does OpenPose support GPU acceleration?
Question

how do I build it

RepoPilot

I don't have detailed build instructions in the current repository data provided. The README excerpt shown includes a table showing build status for Linux, MacOS, and Windows platforms, but the actual build steps aren't included in the data I have access to.

However, based on the repository structure visible in the source code, I can tell you:

  1. Build System: The repository uses CMake (one of the primary languages listed)
  2. GPU Support: The code includes support for both CUDA and OpenCL (visible in [src/openpose/gpu/opencl.cpp:L1-L10])
  3. Deep Learning Framework: The code references Caffe for neural network inference (visible in [src/openpose/pose/poseExtractorCaffe.cpp:L631-L670])

To get the actual build instructions, you would need to:

  • Check the full README.md in the repository root (the excerpt provided is incomplete)
  • Look for INSTALL.md or similar documentation files
  • Review the CMakeLists.txt configuration file

⚠️ Keep in mind: The project is stale (last commit 2 years ago), so build instructions may be outdated or require adjustments for modern compilers and dependencies.

FOLLOW_UPS:

  • What are the main dependencies OpenPose requires?
  • How does OpenPose use Caffe for inference?
  • What GPU backends does OpenPose support?

Public Q&A. Generated by RepoPilot from the actual source of cmu-perceptual-computing-lab/openpose. AI answers can be incomplete or stale — verify before relying on them.