# Daniil-Osokin/gccpm-look-into-person-cvpr19.pytorch

<https://repo.masters-masters.com/en/repos/Daniil-Osokin/gccpm-look-into-person-cvpr19.pytorch>

[Home](https://repo.masters-masters.com/en) › [Daniil-Osokin](https://repo.masters-masters.com/en/owners/Daniil-Osokin) › [gccpm-look-into-person-cvpr19.pytorch](https://repo.masters-masters.com/en/repos/Daniil-Osokin/gccpm-look-into-person-cvpr19.pytorch)

Daniil-Osokin/gccpm-look-into-person-cvpr19.pytorch has 169 stars on GitHub. Its RepoMasters card: Prototype tier. Fast and accurate single-person pose…

| Field | Value |
| --- | --- |
| Owner | [Daniil-Osokin](https://repo.masters-masters.com/en/owners/Daniil-Osokin) |
| Stars | 169 |
| Forks | 29 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2019 |
| Topics | human-pose, single-person, real-time, look-into-person, cvpr2019, human-pose-estimation, pose-estimation, convolutional-pose-machines, lightweight, openvino |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [Daniil-Osokin/gccpm-look-into-person-cvpr19.pytorch](https://github.com/Daniil-Osokin/gccpm-look-into-person-cvpr19.pytorch) |

## Repository

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

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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- [Daniil-Osokin/lightweight-human-pose-estimation-3d-demo.pytorch · ★ 686 · Python · Alpha](https://repo.masters-masters.com/en/repos/Daniil-Osokin/lightweight-human-pose-estimation-3d-demo.pytorch)

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.