DeepLabCut Networks for 2D Pose Estimation

<p> This folder contains trained DeepLabCut networks for 2D pose estimation from multiple viewpoints, as described in this work. It includes three subfolders, each corresponding to a different network for performing 2D pose estimation on <strong>side</strong> (cam1), <strong>side-front</strong> (cam2), and <strong>front</strong> (cam3) views. We used the same networks for mirror cameras (e.g., the right and left sides). </p> <p> For more details on how to use these networks for 2D pose estimation and how to triangulate them to obtain 3D pose estimation, please visit the <a href="https://github.com/NeLy-EPFL/kinematics3d" target="_blank">NeLy-EPFL/kinematics3d GitHub repository</a>. </p> <p> The accompanying PDF (tracked_keypoints_setup.pdf) provides information about the locations of the tracked points. </p> <p> To uncompress the file, run the following command in the terminal: </p> <pre> $ tar -xvf filename.tgz </pre>