microsoft/human-pose-estimation.pytorch
A PyTorch implementation of a deep learning baseline for human pose estimation and tracking on COCO and MPII datasets.
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This repository provides an official implementation of a CVPR/ECCV paper on human pose estimation using deep learning. It implements a simple but effective baseline method for detecting human body keypoints (such as joints) in images, achieving state-of-the-art results on COCO and MPII benchmarks. The project uses ResNet-based models with deconvolutional layers to predict heatmaps for keypoint locations.
Frequently asked
- What is microsoft/human-pose-estimation.pytorch?
- A PyTorch implementation of a deep learning baseline for human pose estimation and tracking on COCO and MPII datasets.
- Is human-pose-estimation.pytorch open source?
- Yes — microsoft/human-pose-estimation.pytorch is open source, released under the MIT license.
- What language is human-pose-estimation.pytorch written in?
- microsoft/human-pose-estimation.pytorch is primarily written in Python.
- How popular is human-pose-estimation.pytorch?
- microsoft/human-pose-estimation.pytorch has 3k stars on GitHub.
- Where can I find human-pose-estimation.pytorch?
- microsoft/human-pose-estimation.pytorch is on GitHub at https://github.com/microsoft/human-pose-estimation.pytorch.