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Runtime error
| import subprocess | |
| result = subprocess.run(["apt-get", "update"]) | |
| result = subprocess.run(["apt-get", "install ffmpeg libsm6 libxext6 -y"]) | |
| import paddlehub as hub | |
| import gradio as gr | |
| import torch | |
| import cv2 | |
| # Images | |
| torch.hub.download_url_to_file('https://cdn.pixabay.com/photo/2018/08/12/16/59/ara-3601194_1280.jpg', 'parrot.jpg') | |
| torch.hub.download_url_to_file('https://cdn.pixabay.com/photo/2016/10/21/14/46/fox-1758183_1280.jpg', 'fox.jpg') | |
| model = hub.Module(name='U2NetP') | |
| def infer(img): | |
| result = model.Segmentation( | |
| images=[cv2.imread(img.name)], | |
| paths=None, | |
| batch_size=1, | |
| input_size=320, | |
| output_dir='output', | |
| visualization=True) | |
| return result[0]['front'][:,:,::-1], result[0]['mask'] | |
| inputs = gr.inputs.Image(type='file', label="Original Image") | |
| outputs = [ | |
| gr.outputs.Image(type="numpy",label="Front"), | |
| gr.outputs.Image(type="numpy",label="Mask") | |
| ] | |
| title = "U^2-NetP" | |
| description = "demo for U^2-Net Portrait. 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/2005.09007'>U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection</a> | <a href='https://github.com/xuebinqin/U-2-Net'>Github Repo</a></p>" | |
| examples = [ | |
| ['fox.jpg'], | |
| ['parrot.jpg'] | |
| ] | |
| gr.Interface(infer, inputs, outputs, title=title, description=description, article=article, examples=examples).launch(share=True) | |