python 根据指定比例（大小）剪切图像，保存特定的质量因子的JPEG图像，并添加水印

最新推荐文章于 2024-03-05 19:20:17 发布

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本文介绍了一个使用Python实现的图像处理脚本，通过resize_image函数，实现等比例缩放图像并添加质量标识，适用于不同尺寸和JPEG压缩等级。着重于图像调整与文件操作，适合前端与后端开发者学习图像处理技术。

算法描述：

import cv2 as cv
import os
import numpy as np
path_image = ""
save_path = ""


def sava_image(source_path, dest_path, q):
    img = cv.imread(source_path)
    cv.imwrite(dest_path, img, [int(cv.IMWRITE_JPEG_QUALITY), q])


# 功能：等比例缩放图像大小，如果比例不对则剪裁成对应的比例
def resize_image(image_path_, path_save_, size, q_, index_):
    img = cv.imread(image_path_)
    try:
        height, width, channel = img.shape
        if width > height:  # 宽图
            new_width = int(width/(height/size[1]))
            img = cv.resize(img, (new_width, size[1]))
            print(new_width, size[1])
            start_point = int((new_width - size[0])/2)
            img = img[0:size[1], start_point:start_point+size[0]]
        elif width < height:  # 高图
            new_height = int(height*size[0]/width)
            img = cv.resize(img, (size[0], new_height))
            start_point = int((new_height - size[1]) / 2)
            img = img[start_point:start_point + size[1], 0:size[0]]
        elif width == height:  # 方图
            if size[0] > size[1]:  # 如果被减的是个宽图，那么按这个宽度进行缩放
                pass  # TODO 暂不处理

        try:

            text = "{}*{} q={}".format(size[0], size[1], q_)
            img = img.copy()
            cv.putText(img, text, (10, 50), cv.FONT_HERSHEY_COMPLEX, 1.0, (255, 200, 200), 2)

            # 将原图片和添加文字后的图片拼接起来
            # img = np.hstack([img, add_text])
            cv.imwrite(os.path.join(path_save_, "{}_{}_{}_{}.jpg".format(size[0], size[1], q_, index_)), img,  [int(cv.IMWRITE_JPEG_QUALITY), q_])
        except Exception as e:
            print(e)
    except Exception as e:
        print(image_path_, "出错")


if __name__ == '__main__':
    image_file_path = r"C:\Users\Administrator\Desktop\images"
    path_save = r"C:\Users\Administrator\Desktop\images\save"
    list_image_path = [os.path.join(image_file_path, filename) for filename in os.listdir(image_file_path)]
    list_q = [50, 60, 65, 70, 75]
    list_size = [(1024, 768), (768, 768), (512, 512), (256, 256)]
    for index, image_path in enumerate(list_image_path):
        for q in list_q:
            for size in list_size:
                resize_image(image_path, path_save, size, q, index + 1)