python 生成 一段代码: 把 奥林巴斯（Olympus）相机 生成的 RAW 格式图像文件（文件扩展名为 .orf） 文件转换成 jpg deepseek chatgpt 有大用 有大大用 有大大大用

import rawpy
import imageio
import os

def convert_orf_to_jpg(input_path, output_path, quality=90):
    """
    将奥林巴斯ORF文件转换为JPG格式
    参数：
        input_path: 输入的.ORF文件路径
        output_path: 输出的.jpg文件路径
        quality: JPG质量（1-100），默认为90
    """
    try:
        # 确保输出目录存在
        os.makedirs(os.path.dirname(output_path), exist_ok=True)
        
        # 使用rawpy读取RAW文件
        with rawpy.imread(input_path) as raw:
            # 进行RAW数据后处理，得到RGB图像数据
            rgb = raw.postprocess(
                use_camera_wb=True,  # 使用相机白平衡
                output_color=rawpy.ColorSpace.sRGB,  # 输出sRGB颜色空间
                demosaic_algorithm=rawpy.DemosaicAlgorithm.AHD  # 使用AHD插值算法
            )
        
        # 使用imageio保存为JPG
        imageio.imsave(output_path, rgb, quality=quality)
        print(f"转换成功: {input_path} -> {output_path}")

    except Exception as e:
        print(f"转换失败: {str(e)}")

# 使用示例
if __name__ == "__main__":
    input_file = "path/to/your/input.ORF"  # 替换为你的ORF文件路径
    output_file = "path/to/output/folder/output.jpg"  # 替换为输出路径
    
    convert_orf_to_jpg(input_file, output_file)

pip install rawpy imageio

import glob

def batch_convert(input_folder, output_folder):
    orf_files = glob.glob(os.path.join(input_folder, "*.ORF"))
    for orf_path in orf_files:
        jpg_name = os.path.splitext(os.path.basename(orf_path))[0] + ".jpg"
        jpg_path = os.path.join(output_folder, jpg_name)
        convert_orf_to_jpg(orf_path, jpg_path)

import tkinter as tk
from tkinter import ttk, filedialog, messagebox
import rawpy
import imageio
import os

class ORFConverterApp:
    def __init__(self, root):
        self.root = root
        self.root.title("ORF转JPG转换器 v2")
        self.input_path = None
        
        # 初始化界面
        self.create_widgets()
        self.setup_layout()
        
    def create_widgets(self):
        # 文件上传按钮
        self.upload_btn = ttk.Button(
            self.root,
            text="上传ORF文件",
            command=self.upload_file
        )
        
        # 转换按钮
        self.convert_btn = ttk.Button(
            self.root,
            text="转换为JPG",
            command=self.convert_file,
            state=tk.DISABLED
        )
        
        # 状态标签
        self.status_label = ttk.Label(
            self.root,
            text="等待文件上传",
            foreground="gray"
        )
        
        # 文件名显示
        self.filename_label = ttk.Label(
            self.root,
            text="未选择文件",
            font=('Arial', 9),
            foreground="blue"
        )

    def setup_layout(self):
        # 布局设置
        self.upload_btn.grid(row=0, column=0, padx=10, pady=10, sticky='w')
        self.filename_label.grid(row=0, column=1, padx=10, pady=10, sticky='w')
        self.convert_btn.grid(row=1, column=0, columnspan=2, pady=5)
        self.status_label.grid(row=2, column=0, columnspan=2, pady=5)

    def upload_file(self):
        """处理文件上传"""
        file_path = filedialog.askopenfilename(
            filetypes=[("Olympus RAW Files", "*.orf"), ("All Files", "*.*")]
        )
        
        if file_path:
            self.input_path = file_path
            base_name = os.path.basename(file_path)
            self.filename_label.config(text=f"已选择文件: {base_name}")
            self.convert_btn.config(state=tk.NORMAL)
            self.status_label.config(text="就绪", foreground="green")

    def convert_file(self):
        """执行转换操作"""
        if not self.input_path:
            messagebox.showerror("错误", "请先选择ORF文件")
            return

        try:
            # 生成默认输出路径
            original_name = os.path.splitext(os.path.basename(self.input_path))[0]
            default_filename = f"{original_name}.jpg"
            
            # 获取保存路径
            save_path = filedialog.asksaveasfilename(
                defaultextension=".jpg",
                initialfile=default_filename,
                filetypes=[("JPEG Files", "*.jpg"), ("All Files", "*.*")]
            )
            
            if not save_path:
                return  # 用户取消保存

            self._update_ui_state(converting=True)
            
            # 执行RAW转换
            with rawpy.imread(self.input_path) as raw:
                rgb_image = raw.postprocess(
                    use_camera_wb=True,
                    output_color=rawpy.ColorSpace.sRGB,
                    demosaic_algorithm=rawpy.DemosaicAlgorithm.AHD
                )
            
            # 保存JPEG文件
            imageio.imsave(save_path, rgb_image, quality=90)
            
            messagebox.showinfo("成功", f"文件已保存为:\n{save_path}")
            self._reset_ui()

        except Exception as e:
            messagebox.showerror("转换错误", str(e))
            self.status_label.config(text="转换失败", foreground="red")
        finally:
            self._update_ui_state(converting=False)

    def _update_ui_state(self, converting):
        """更新界面状态"""
        state = tk.DISABLED if converting else tk.NORMAL
        self.convert_btn.config(state=state)
        self.upload_btn.config(state=state)
        self.status_label.config(
            text="转换中..." if converting else "就绪",
            foreground="orange" if converting else "green"
        )
        self.root.update()

    def _reset_ui(self):
        """重置界面状态"""
        self.input_path = None
        self.filename_label.config(text="未选择文件")
        self.convert_btn.config(state=tk.DISABLED)
        self.status_label.config(text="等待文件上传", foreground="gray")

if __name__ == "__main__":
    root = tk.Tk()
    root.geometry("500x150")
    root.resizable(False, False)
    
    # 设置样式
    style = ttk.Style()
    style.configure("TButton", padding=6)
    style.configure("TLabel", padding=5)
    
    app = ORFConverterApp(root)
    root.mainloop()

pip install rawpy imageio
# Windows需要额外安装LibRaw：https://www.libraw.org/download
# Linux/Mac：sudo apt-get install libraw-dev

# 如需添加批量转换功能，可修改上传部分为：
def upload_files(self):
    files = filedialog.askopenfilenames(filetypes=[("ORF Files", "*.orf")])
    # 然后遍历处理每个文件

# 如需添加进度条：
from ttkprogressbar import Progressbar
self.progress = Progressbar(self.root, length=200)
# 在转换过程中更新进度