img = cv2.imread("攝影作品/故宮雪景.jpg")  # 返回None無報錯
cv2.imwrite("輸出/北京夜景.jpg", img)     # 靜默失敗無輸出

import cv2
import numpy as np

def read_image_chinese(path):
    """安全讀取中文路徑圖片"""
    try:
        with open(path, "rb") as f:
            return cv2.imdecode(np.frombuffer(f.read(), np.uint8), cv2.IMREAD_COLOR)
    except Exception as e:
        print(f"讀取失敗: {str(e)}")
        return None

# 使用示例
img = read_image_chinese("測試數據集/故宮雪景.jpg")

import cv2
import numpy as np

img = cv2.imdecode(np.fromfile("./中文路徑/test.jpg", dtype=np.uint8), cv2.IMREAD_UNCHANGED)
cv2.namedWindow("img", cv2.WINDOW_NORMAL)
cv2.imshow("img", img)
cv2.waitKey(0)
print("read success")

def write_image_chinese(save_path, img):
    """保存圖片到中文路徑"""
    try:
        # 提取擴展名
        ext = save_path.split(".")[-1]
        
        # 檢測擴展名合法性
        if ext.lower() not in ["jpg", "png", "bmp"]:
            raise ValueError("不支持的圖片格式")

        # 內存編碼后寫入
        with open(save_path, "wb") as f:
            ret, buf = cv2.imencode(f".{ext}", img)
            if ret:
                f.write(buf.tobytes())
                return True
            return False
    except Exception as e:
        print(f"保存失敗: {str(e)}")
        return False

# 讀取圖片
img = read_image_chinese("原始圖片/北京夜景.jpg")

# 處理圖片（示例：調整亮度）
processed_img = cv2.convertScaleAbs(img, alpha=1.2, beta=0)

# 保存到中文路徑
write_image_chinese("處理結果/增強版夜景.jpg", processed_img)

import os

def batch_process(input_dir, output_dir):
    """批量處理中文路徑圖片"""
    if not os.path.exists(output_dir):
        os.makedirs(output_dir)
    
    for filename in os.listdir(input_dir):
        # 讀取文件
        input_path = os.path.join(input_dir, filename)
        img = read_image_chinese(input_path)
        
        if img is not None:
            # 示例處理：轉為灰度圖
            processed = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
            
            # 構造輸出路徑
            output_path = os.path.join(output_dir, f"灰度_{filename}")
            
            # 保存結果
            write_image_chinese(output_path, processed)

import platform

def universal_imread(path):
    """自動適應平臺的文件讀取"""
    if platform.system() == "Windows":
        # Windows特殊處理
        return read_image_chinese(path)
    else:
        # Linux/Mac直接嘗試原始讀取
        try:
            return cv2.imread(path)
        except:
            return read_image_chinese(path)

def read_large_image(path, chunk_size=1024):
    buffer = bytearray()
    with open(path, "rb") as f:
        while True:
            chunk = f.read(chunk_size)
            if not chunk:
                break
            buffer.extend(chunk)
    return cv2.imdecode(np.frombuffer(buffer, np.uint8), cv2.IMREAD_COLOR)

def safe_imread(path):
    img = read_image_chinese(path)
    if img is not None:
        img.flags.writeable = False
    return img