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Published 20 hours ago • verified publisher icon Daniil-Osokin
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Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.

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Custom Dataset Annotation format

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Hi, I have a few questions after reading the tips and issues pointed out here. I am currently using Labelme to annotate the keypoints and would convert them to the...

JJLimmm avatar JJLimmm

Python API

1 comment

Please consider this PR. I would like to keep working whit this project and preserve the original source repository as reference. I made a Python Library for an easy integration...

leonelhs avatar leonelhs

How do I set the training parameters?

2 comment

Hello author, I have just touched this task and tried to train my own dataset. How do you determine the training epochs I want to run in the train.py file?...

amYaniii avatar amYaniii

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verified publisher icon Daniil-Osokin

Metadata

Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.

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