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import gradio as gr | |
import os | |
def inference(image): | |
os.system("""python -m openpifpaf.predict """+ image.name+""" \ | |
--checkpoint=shufflenetv2k16-apollo-24 -o out.jpg \ | |
--instance-threshold 0.05 --seed-threshold 0.05 \ | |
--line-width 4 --font-size 0""") | |
return "out.jpg" | |
title = "Keypoint Communities" | |
description = "Gradio demo for Keypoint Communities: a fast bottom-up method that jointly detects over 100 keypoints on humans or objects, also referred to as human/object pose estimation. To use it, simply upload your image, or click one of the examples to load them. Read more at the links below." | |
article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2110.00988' target='_blank'>Keypoint Communities</a> | <a href='https://github.com/DuncanZauss/Keypoint_Communities' target='_blank'>Github Repo</a></p>" | |
examples=[['soccer.jpeg']] | |
gr.Interface( | |
inference, | |
gr.inputs.Image(type="file", label="Input"), | |
gr.outputs.Image(type="file", label="Output"), | |
title=title, | |
description=description, | |
article=article, | |
enable_queue=True, | |
examples=examples | |
).launch(debug=True) |