Create app.py
Browse files
app.py
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from PIL import Image
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import torch
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from torchvision import transforms
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# load model
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model = torch.hub.load('hustvl/yolop', 'yolop', pretrained=True)
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normalize = transforms.Normalize(
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mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]
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)
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transform=transforms.Compose([
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transforms.ToTensor(),
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# normalize
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])
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def inference(img):
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# print(img.size)
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img = img.resize((640, 640))
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img = torch.unsqueeze(transform(img), dim=0)
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# img = transform(img)
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det_out, da_seg_out,ll_seg_out = model(img)
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ll_out = ll_seg_out[0][0, :, :].detach().numpy()
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da_out = da_seg_out[0][0, :, :].detach().numpy()
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return da_out,ll_out
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gr.Interface(inference,gr.inputs.Image(type="pil"),["image","image"]).launch(debug=True)
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