python利用PIL将无损png转换成有损的jpg大大减小占用内存

    科技2022-08-19  113

    利用python批量处理文件,将无损png转换成有损的jpg大大减小占用内存,这里调用了opencv的库。 png通常一个像素点是32位 r, g, b, a ,a表示透明度,而jpg的像素点是24位,r,g,b。将png转换成jpg的代码如下,利用如下代码将png转为jpg(并压缩) 一些参数: Image.ANTIALIAS 表示压缩时一种高级伸缩的方法

    from PIL import Image import cv2 as cv import os ### 用opencv实现png无损压缩到jpg压缩的方法 针对单张图片 def PNG_JPG(PngPath,SavePath): img = cv.imread(PngPath, 0) w, h = img.shape[::-1] infile = PngPath outfile = SavePath+PngPath.split("/")[-1].split(".")[0] + ".jpg" print(outfile) img = Image.open(infile) #TODO 这里是将图片resize了,如果不需要将此代码删掉 img = img.resize((int(w / 2), int(h / 2)), Image.ANTIALIAS) try: if len(img.split()) == 4: # prevent IOError: cannot write mode RGBA as BMP r, g, b, a = img.split() img = Image.merge("RGB", (r, g, b)) img.convert('RGB').save(outfile, quality=100) # os.remove(PngPath) else: img.convert('RGB').save(outfile, quality=100) # os.remove(PngPath) return outfile except Exception as e: print("PNG转换JPG 错误", e) # 批处理数据 path_root = os.getcwd() Path='./images_withoutrect/' img_dir = os.listdir(Path) count=0 for img in img_dir: if img.endswith('.png'): PngPath= Path + img PNG_JPG(PngPath,"./images_jpg/") count+=1 print("中转换了{}张图".format(count))
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