This is an deep learning implementation in tensorpack
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Updated
Feb 25, 2017 - Python
This is an deep learning implementation in tensorpack
Datasets for multi-class and multi-pose face segmentation
Convolutional Pose Machines in TensorFlow
Evaluation tool for benchmarking human pose prediction algorithms on the FLIC and LSP datasets.
Unsupervised method for pose estimation of 2D Images using renderings of 3D models
raulmur's ORB_SLAM, modified to track scenes and people in movies
Multi-view pose estimation with flexible mixtures of parts and adaptive viewpoint selection
Realtime Multi-Person Pose Estimation Dataset Transformer - tool for creating an augmented dataset
Realtime Multi-Person Pose Estimation data server. Used as a training and validation data provider in training process.
This ros package will improve pose accuracy generated from pose estimators by enforcing physics and temporal based constraints
Keras version of Realtime Multi-Person Pose Estimation project
To make, detect, and estimate pose based on ArUco Marker
A PyTorch implementation of adversarial pose estimation for multi-person
Real-time position tracker for behavioral research
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