def preprocess_torch(image_path, size):
# PIL reads image in RGB format
normalize = transforms.Normalize(mean=MEAN, std=STD)
transformer = transforms.Compose([
transforms.ToTensor(),
normalize])
image = Image.open(image_path)
image = image.resize(size)
image = Variable(transformer(image), requires_grad=False)
image = image.unsqueeze(0)
return image
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