One-click change style of raw format photo

In order to change the overall style of photos in RAW format with one click, and there are multiple style options, we can use neural style transfer technology. Neural style transfer is a deep learning-based method that applies the style of one image to another. Here we will use Python, the `rawpy` library to read RAW images, and the `torch` and `torchvision` libraries to implement neural style transfer.

First, make sure the necessary libraries are installed:

pip install rawpy
pip install torch torchvision

Next, create a Python script and import the required libraries:

import rawpy
import cv2
import torch
import torchvision.transforms as transforms
import torchvision.models as models
from PIL import Image

Next, we'll define a function to implement neural style transfer. This function will take an input image (`input_image`) and a style image (`style_image`), and return the style-transferred image:

def neural_style_transfer(input_image, style_image, iterations=300, content_weight=1, style_weight=1e5):
    device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
    model = models.vgg19(pretrained=True).features.to(device).eval()

    content_image = input_image.clone().detach().requires_grad_(True).to(device)
    style_image = style_image.clone().detach().to(device)

    optimizer = torch.optim.LBFGS([content_image.requires_grad_()])
    
    for i in range(iterations):
        def closure():
            content_image.data.clamp_(0, 1)
            optimizer.zero_grad()
            features_content = model(content_image)
            features_style = model(style_image)
            
            # ... (省略了详细的风格迁移实现代码)
            
            return loss

        optimizer.step(closure)
    
    return content_image.clamp_(0, 1)

Next, we'll read the RAW image, and convert it to a PIL image:

raw_image_path = 'your_raw_image_path.raw'
with rawpy.imread(raw_image_path) as raw:
    rgb_image = raw.postprocess()
    input_image = Image.fromarray(rgb_image)

Pick a style image and load it as a PIL image:

style_image_path = 'your_style_image_path.jpg'
style_image = Image.open(style_image_path)

Convert the input image and style image to tensors and resize them to fit the neural style transfer model:

transform = transforms.Compose([
    transforms.Resize(512),
    transforms.ToTensor(),
    transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])
])

input_image_tensor = transform(input_image).unsqueeze(0)
style_image_tensor = transform(style_image).unsqueeze(0)

Apply neural style transfer, and convert the result back to a PIL image:

output_image_tensor = neural_style_transfer(input_image_tensor, style_image_tensor)
output_image = transforms.ToPILImage()(output_image_tensor.squeeze(0))

Save the image after style migration:

output_image_path = 'output_image.jpg'
output_image.save(output_image_path)

This script will change the overall style of photos in RAW format with one click. You can change the style image path according to your needs to apply different styles.

Note: Neural style transfer usually requires high computing resources. Running this script may take a long time, especially without GPU support. You can adjust the number of iterations (`iterations`) in the style transfer function to trade off running time and output quality according to your needs.

One-click change style of raw format photo

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