OpenPose¶
Description¶
OpenPose has represented the first real-time multi-person system to jointly detect human body, hand, facial, and foot keypoints (in total 135 keypoints) on single images.
Environment Modules¶
Run module spider openpose to find out what environment modules are available for this application.
Environment Variables¶
- HPC_OPENPOSE_DIR - installation directory
- HPC_OPENPOSE_BIN - executable directory
Citation¶
If you publish research that uses openpose you have to cite it as follows:
- Cao, Z., Hidalgo Martinez, G., Simon, T., Wei, S., & Sheikh, Y. A. (2019). OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/TPAMI.2019.2929257
- Simon, T., Joo, H., Matthews, I., & Sheikh, Y. (2017). Hand Keypoint Detection in Single Images using Multiview Bootstrapping. CVPR. https://doi.org/10.1109/CVPR.2017.494
- Cao, Z., Simon, T., Wei, S. E., & Sheikh, Y. (2017). Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields. CVPR. https://doi.org/10.1109/CVPR.2017.143
- Wei, S. E., Ramakrishna, V., Kanade, T., & Sheikh, Y. (2016). Convolutional pose machines. CVPR. https://doi.org/10.1109/CVPR.2016.511
Categories¶
image_processing