opencv实现图片批量压缩

#制作数据集时，对高分辨率的图片进行压缩#

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import cv2
import os

def compress_folder(folder):
    for filename in os.listdir(images_folder):
        if filename.endswith('.jpg') or filename.endswith('.jpeg') or filename.endswith('.png'):
            img_path = os.path.join(images_folder, filename)
            img = cv2.imread(img_path)
            new_path = os.path.join(images_folder, "compressed_" + filename)
            cv2.imwrite(new_path, img, [int(cv2.IMWRITE_JPEG_QUALITY), 50])
            print(f"Compressed {img_path} to {new_path}")

compress_folder(r"文件夹路径")

​

遍历读取文件夹中的图片

for filename in os.listdir(images_folder):
#循环读取文件夹中的文件名称
   if filename.endswith('.jpg') or filename.endswith('.jpeg') or filename.endswith('.png'):
   #识别文件夹中的图片文件
            img_path = os.path.join(images_folder, filename)
            #使用os函数对文件夹路径以及图片文件的名称进行拼接
            img = cv2.imread(img_path)
            #生成的图片路径进行读