PrototypeCommon
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.
- Owner
- Daniil-Osokin (personal account)
- Stars
- Stars: 169
- Forks
- Forks: 29
- Language
- Python
- License
- Apache-2.0
- Created
- 2019
- Topics
- human-posesingle-personreal-timelook-into-personcvpr2019human-pose-estimationpose-estimationconvolutional-pose-machineslightweightopenvino
- Tier
- Prototype (100 to 249 ★) What this tier means
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