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5604609
1
Parent(s):
564e3a4
new file: app.py
Browse files
app.py
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import torch
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import gradio as gr
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from PIL import Image
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import numpy as np
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model = torch.hub.load('ultralytics/yolov5', 'custom', path=r'./best.pt', force_reload=True)
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def yolo(im, size=512):
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g = (size / max(im.size)) # gain
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im = im.resize((int(x * g) for x in im.size), Image.ANTIALIAS) # resize
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results = model(im) # inference
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results.render() # updates results.imgs with boxes and labels
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return Image.fromarray(results.ims[0])
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gr.Interface(fn=yolo,
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inputs=gr.inputs.Image(type = "pil", label = "Original Image"),
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outputs=gr.outputs.Image(type = "pil", label = "Output Image")).launch()
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best.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:65c0a558b56fb8695ed0160524bb35c86c07be6e8d31330a69cbacb09cdee7fb
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size 42128361
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