Fast and accurate single-person pose estimation, ranked 10th at CVPR'19 LIP challenge. Contains implementation of "Global Context for Convolutional Pose Machines" paper.
-
Updated
Jun 21, 2022 - Python
Fast and accurate single-person pose estimation, ranked 10th at CVPR'19 LIP challenge. Contains implementation of "Global Context for Convolutional Pose Machines" paper.
A local-first, privacy-focused desktop activity tracking tool designed for deep self-analysis.
Add a description, image, and links to the single-person topic page so that developers can more easily learn about it.
To associate your repository with the single-person topic, visit your repo's landing page and select "manage topics."