https://github.com/daniil-osokin/gccpm-look-into-person-cvpr19.pytorch

Fast and accurate single-person pose estimation, ranked 10th at CVPR'19 LIP challenge. Contains implementation of "Global Context for Convolutional Pose Machines" paper.
https://github.com/daniil-osokin/gccpm-look-into-person-cvpr19.pytorch

convolutional-pose-machines cvpr2019 deep-learning human-pose human-pose-estimation lightweight look-into-person openvino pose-estimation pytorch real-time single-person

Last synced: 12 days ago
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Fast and accurate single-person pose estimation, ranked 10th at CVPR'19 LIP challenge. Contains implementation of "Global Context for Convolutional Pose Machines" paper.

• Host: GitHub
• URL: https://github.com/daniil-osokin/gccpm-look-into-person-cvpr19.pytorch
• Owner: Daniil-Osokin
• License: apache-2.0
• Created: 2019-06-30T09:02:50.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2022-06-21T22:13:56.000Z (over 2 years ago)
• Last Synced: 2024-10-24T15:56:39.479Z (19 days ago)
• Topics: convolutional-pose-machines, cvpr2019, deep-learning, human-pose, human-pose-estimation, lightweight, look-into-person, openvino, pose-estimation, pytorch, real-time, single-person
• Language: Python
• Size: 188 KB
• Stars: 169
• Watchers: 9
• Forks: 28
• Open Issues: 2

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