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.

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169 Stars

29 Forks

169 Watchers

Python Language

apache-2.0 License

100 SrcLog Score

Cost to Build

$9.5K

Market Value

$17.7K

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Growth over time

8 data points · 2021-08-01 → 2026-04-01

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What is the Daniil-Osokin/gccpm-look-into-person-cvpr19.pytorch GitHub project? Description: "Fast and accurate single-person pose estimation, ranked 10th at CVPR'19 LIP challenge. Contains implementation of "Global Context for Convolutional Pose Machines" paper.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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