Update assets/skin.py
Browse files- assets/skin.py +5 -12
assets/skin.py
CHANGED
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@@ -2,14 +2,8 @@
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import torch
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from torchvision import transforms
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from torchvision.models import VGG19_BN_Weights, vgg19_bn
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model =torch.load('assets/skin.pth')
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#print(torch.load('assets/weights.pth'))
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# model=vgg19_bn()
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# print(torch.load('assets/model.pth'))
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# model.load_state_dict(torch.load('assets/skin_cancer.pth'))
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# print(model)
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# torch.save(model.state_dict(), 'assets/skin_cancer.pth')
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skin_map={0:'Добро',1:'Зло'}
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def get_evil(img):
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@@ -20,12 +14,11 @@ def get_evil(img):
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input_image = transform(img).unsqueeze(0) # Добавьте размерность пакета (batch dimension)
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#torch.device("cuda" if torch.cuda.is_available() else 'cpu')
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model.to(
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model.eval()
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input_image = input_image.to(
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#model.to(device)
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with torch.no_grad():
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res=model(input_image).item()
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return f'Степень злобы: {res}\n\n Т.е. опухоль: {skin_map[round(res)]}'
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import torch
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from torchvision import transforms
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from torchvision.models import VGG19_BN_Weights, vgg19_bn
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DEVICE = 'cpu'
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model =torch.load('assets/skin.pth', map_location=)
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skin_map={0:'Добро',1:'Зло'}
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def get_evil(img):
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input_image = transform(img).unsqueeze(0) # Добавьте размерность пакета (batch dimension)
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#torch.device("cuda" if torch.cuda.is_available() else 'cpu')
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model.to(DEVICE)
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model.eval()
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input_image = input_image.to(DEVICE)
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with torch.no_grad():
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res=model(input_image).item()
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return f'Степень злобы: {res}\n\n Т.е. опухоль: {skin_map[round(res)]}'
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