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movenet's Introduction

Workable MoveNet on PyTorch

Movenet is Google's next generation fast pose detection model. However, there seems not PyTorch version.

I ported original tensorflow weights to pytorch, using CenterNet code base to inference. The result is fully right.

Hopefully, you can even train it on pytorch if you have time.

If you are interested on Movenet, open an issue and I will guide you have to contribute.

Demo

Run:

python demo.py single_pose --dataset active --arch movenet --demo data/input_image.jpeg --load_model ./weights/movenet.pth --K 1 --gpus -1 --debug 2

Runing on WNN:

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movenet's Issues

movenet.pnnx.bin

No such file or directory: '/Users/lewisjin/work/codes/wnn/vendor/movenet/movenet.pnnx.bin'，and i do not know how to get this file

output

I would like to ask why the coordinates of the output have three，
[[0.33102262 0.567663 0.78549784]
[0.31560546 0.580445 0.521843 ]
[0.30856535 0.5523864 0.60186744]
what is that means？

tensorflow转pytorch

博主您好，请问你是怎么把tensorflow模型转成pytorch的，有参考链接吗？谢谢博主，祝您工作顺利。。

Performance on COCO Val Set

Hi, I'm curious about the performance of this model on COCO validation dataset. Would you mind reporting a result? THX a lot.

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