The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
Implement human pose detection and other visual recognition tasks using high-resolution techniques.
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Free · no card · unsubscribe anytimeThe project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
deep-high-resolution-net.pytorch has 4.5k stars on GitHub. It has been forked 922 times. deep-high-resolution-net.pytorch is written mainly in Cuda. It has been in active development since 2019. deep-high-resolution-net.pytorch is available under the MIT license. Its main topics are coco-keypoints-detection, deep-high-resolution-net, deep-learning, high-resolution-net.
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
deep-high-resolution-net.pytorch is an open-source project. It is released under the MIT license.
Yes. deep-high-resolution-net.pytorch is free and open source — you can use, modify and self-host it.
deep-high-resolution-net.pytorch is available under the MIT license.
deep-high-resolution-net.pytorch is written mainly in Cuda.
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