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Official pytorch Code for CVPR2019 paper "Fast Human Pose Estimation" https://arxiv.org/abs/1811.05419

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Bumps [opencv-python](https://github.com/skvark/opencv-python) from 3.4.1.15 to 4.2.0.32. Release notes Sourced from opencv-python's releases. 4.2.0.32 opencv-python: https://pypi.org/project/opencv-python/ opencv-contrib-python: https://pypi.org/project/opencv-contrib-python/ opencv-python-headless: https://pypi.org/project/opencv-python-headless/ opencv-contrib-python-headless: https://pypi.org/project/opencv-contrib-python-headless/ OpenCV version 4.2.0. Changes: macOS environment updated from xcode8.3...

dependencies

Hi, and thank you for making this code available. Is this code suitable for real time use? What fps am I likely to get with 1 gtx 1080 gpu? Thanks!

Thanks for the open source of your work. It helps me a lot. I check the deployment cost reported in your paper, but you mention little about how to compute...

How to use the eight-stage hourglass network as a teacher network to train the four-stage student network from scratch? How to write the training code?

![image](https://user-images.githubusercontent.com/12494483/93964228-b9f2be00-fd91-11ea-97fd-078eb40fd3e1.png) 3. How to test the model 3.1 Download the trained student models and place them like section 1.2 [GoogleDrive] [BaiduDrive] For MPII dataset: hourglass student FPD model For COCO...

I saw on issue #8 in the repository of thomasjakab/imm that you reproduced this work with pytorch. Do you plan to release this imm pytorch implementation ? Or can you...

Hello @HuAndrew I add an inference script to run the trained model on video. For the **pose_hrnet_w32_student_FPD.pth** trained model, I can inference fine using network definition at *experiments/coco/hrnet/w32_256x192_adam_lr1e-3.yaml*. Unfortunately, the...