The CMU-Perceptual-Computing-Lab has a significant public presence on GitHub, featuring a wide range of repositories focused on computer vision and machine learning. Notable projects include OpenPose, a library for multi-person keypoint detection, and MonocularTotalCapture, which addresses 3D human pose estimation. The lab primarily utilizes C++, Python, C#, Jupyter Notebook, Matlab, and HTML in their development efforts.
Top languages
Public repositories
openpose
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
openpose_unity_plugin
OpenPose's Unity Plugin for Unity users
MonocularTotalCapture
Code for CVPR19 paper "Monocular Total Capture: Posing Face, Body and Hands in the Wild"
openpose_train
Training repository for OpenPose
panoptic-toolbox
No description provided for this repository.
caffe_rtpose
Realtime C++ code for multi-person pose estimation
convolutional-pose-machines-release
Code repository for Convolutional Pose Machines
caffe_train
No description provided for this repository.
caffe
Caffe: a fast open framework for deep learning.
ssp
Towards Social Artificial Intelligence: Nonverbal Social Signal Prediction in A Triadic Interaction (CVPR 2020)
openpose_caffe_train
Modified Caffe version for https://github.com/CMU-Perceptual-Computing-Lab/openpose_train
foot_keypoint_dataset
Website for the foot keypoint dataset: https://cmu-perceptual-computing-lab.github.io/foot_keypoint_dataset/
spatio-temporal-affinity-fields
No description provided for this repository.
socialSignalPred
No description provided for this repository.
OpenDTAM
An open source implementation of DTAM
Frequently asked questions
What does CMU-Perceptual-Computing-Lab build on GitHub?
CMU-Perceptual-Computing-Lab builds various projects on GitHub, focusing on computer vision and pose estimation. Key repositories include OpenPose for keypoint detection and MonocularTotalCapture for 3D human pose analysis.
Which programming languages does CMU-Perceptual-Computing-Lab use?
The organization primarily uses C++, Python, C#, Jupyter Notebook, Matlab, and HTML for its projects. These languages support their work in developing advanced computer vision tools and algorithms.
Are CMU-Perceptual-Computing-Lab's repositories public?
Yes, all repositories of CMU-Perceptual-Computing-Lab are public. This transparency allows other developers and researchers to access and contribute to their work on computer vision and machine learning.
Is this exposure intended?
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