tensorlayer/HyperPose
A library for building high-performance human pose estimation applications using deep learning models with TensorFlow and TensorRT optimization.
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HyperPose is a library for building high-performance custom pose estimation applications. It provides real-time pose estimation capabilities using neural networks with support for both CPU and GPU inference. The library uses TensorFlow as its primary framework and leverages TensorRT for model optimization and accelerated inference in production deployments.
Frequently asked
- What is tensorlayer/HyperPose?
- A library for building high-performance human pose estimation applications using deep learning models with TensorFlow and TensorRT optimization.
- Is HyperPose open source?
- Yes — tensorlayer/HyperPose is an open-source project tracked on heatdrop.
- What language is HyperPose written in?
- tensorlayer/HyperPose is primarily written in Python.
- How popular is HyperPose?
- tensorlayer/HyperPose has 1.3k stars on GitHub.
- Where can I find HyperPose?
- tensorlayer/HyperPose is on GitHub at https://github.com/tensorlayer/HyperPose.