Ilovecphfjziywno Onion 005 Jpg %28%28new%29%29 ((exclusive))

# Generate features with torch.no_grad(): features = model(img)

img = Image.open(image_path).convert('RGB') img = transform(img) img = img.unsqueeze(0) # Add batch dimension

def generate_cnn_features(image_path): # Load a pre-trained model model = torchvision.models.resnet50(pretrained=True) model.fc = torch.nn.Identity() # To get the features before classification layer