ilovepose/fast-human-pose-estimation.pytorch
Official pytorch Code for CVPR2019 paper "Fast Human Pose Estimation" https://arxiv.org/abs/1811.05419
This project helps computer vision engineers and researchers create more efficient pose estimation models. It takes existing human pose estimation models (teacher models) and uses them to improve smaller, faster student models. The output is a more accurate, compact model that can identify key points on human bodies in images or video.
398 stars. No commits in the last 6 months.
Use this if you need to deploy human pose estimation models that are smaller and faster, while maintaining high accuracy, especially when you have unlabeled image data available.
Not ideal if you are looking for an out-of-the-box application for pose estimation, or if you don't have the technical expertise to train and fine-tune machine learning models.
Stars
398
Forks
67
Language
Cuda
License
MIT
Category
Last pushed
Sep 16, 2022
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