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Inference demo and evaluation scripts for the MICCAI-2019 paper "Human Pose Estimation on Privacy-Preserving Low-Resolution Depth Images"

Home Page: https://arxiv.org/abs/2007.08340

License: Other

Makefile 0.12% Python 77.83% C++ 0.16% Cuda 5.39% Jupyter Notebook 15.61% Shell 0.90%
human-pose-estimation privacy-preserving depth-images low-resolution-data operating-room colab depthpose

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orpose-depth's Issues

Training Dataset

Hi! Thanks for the amazing work. Which dataset did you use to train? You mentioned an unlabeled dataset with 80K, and I would like to obtain the same dataset to train my approach and make a fair comparison with yours. Is the training dataset available for academic use?

Train model on my own dataset

Hi, Thank you for the great work.

I have depth images and I'm wondering how to train or fine-tune a model on my own dataset?

I would be grateful if you could give me some suggestions to achieve it.

Best wishes,
Yicheng

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