Easy to use Python Batch Compress Pictures

Internet, picture size has a significant effect on the response speed of a website, so providing the user a preview when the picture is often compressed after use. If a website more pictures, a picture compression obviously a waste of time. So then, I just like to share a batch method of picture compression, python just a few lines of code, you can easily achieve picture compression.

View original

Compression algorithm

Use the PIL library PIL Python platform is the de facto standard image processing library that supports a variety of formats, and provides powerful graphics and image processing functions. Installation using the following command:

pip install pillow

code show as below:

#图片压缩批处理
def compressImage(srcPath,dstPath):
    for filename in os.listdir(srcPath):
        #如果不存在目的目录则创建一个，保持层级结构
        if not os.path.exists(dstPath):
                os.makedirs(dstPath)
 
        #拼接完整的文件或文件夹路径
        srcFile=os.path.join(srcPath,filename)
        dstFile=os.path.join(dstPath,filename)
 
        # 如果是文件就处理
        if os.path.isfile(srcFile):
            try:
                #打开原图片缩小后保存，可以用if srcFile.endswith(".jpg")或者split，splitext等函数等针对特定文件压缩
                sImg=Image.open(srcFile)
                w,h=sImg.size
                dImg=sImg.resize((int(w/2),int(h/2)),Image.ANTIALIAS)  #设置压缩尺寸和选项，注意尺寸要用括号
                dImg.save(dstFile) #也可以用srcFile原路径保存,或者更改后缀保存，save这个函数后面可以加压缩编码选项JPEG之类的
                print (dstFile+" 成功！")
            except Exception:
                print(dstFile+"失败！")
 
        # 如果是文件夹就递归
        if os.path.isdir(srcFile):
            compressImage(srcFile, dstFile)

Method Invocation

1. In the python directory where the file three new directories, prepare (stored images to be compressed), finish (complete compression of the original image) and compress (picture after storage compression)
2. directory traversal prepare, to move the picture to finish directory
3. to delete a directory traversal compress compress images
4. finish the whole picture is compressed, the corresponding deposit to compress directory

if __name__ == '__main__':
    # 遍历待加入图片
    path = os.walk("./prepare")
    for root, dirs, files in path:
        for f in files: 
            shutil.move(os.path.join(root,f),os.path.join('./finish',f))                #移动文件

    # 遍历删除压缩图片
    path = os.walk("./compress")
    for root, dirs, files in path:
        for f in files:
            os.remove(os.path.join(root, f))

    # 压缩图片
    compressImage("./finish","./compress")

The complete code

New photo.py, copy the following code

from PIL import Image
import os,shutil

#图片压缩批处理
def compressImage(srcPath,dstPath):
    for filename in os.listdir(srcPath):
        #如果不存在目的目录则创建一个，保持层级结构
        if not os.path.exists(dstPath):
                os.makedirs(dstPath)
 
        #拼接完整的文件或文件夹路径
        srcFile=os.path.join(srcPath,filename)
        dstFile=os.path.join(dstPath,filename)
 
        # 如果是文件就处理
        if os.path.isfile(srcFile):
            try:
                #打开原图片缩小后保存，可以用if srcFile.endswith(".jpg")或者split，splitext等函数等针对特定文件压缩
                sImg=Image.open(srcFile)
                w,h=sImg.size
                dImg=sImg.resize((int(w/2),int(h/2)),Image.ANTIALIAS)  #设置压缩尺寸和选项，注意尺寸要用括号
                dImg.save(dstFile) #也可以用srcFile原路径保存,或者更改后缀保存，save这个函数后面可以加压缩编码选项JPEG之类的
                print (dstFile+" 成功！")
            except Exception:
                print(dstFile+"失败！")
 
        # 如果是文件夹就递归
        if os.path.isdir(srcFile):
            compressImage(srcFile, dstFile)

if __name__ == '__main__':
    # 遍历待加入图片
    path = os.walk("./prepare")
    for root, dirs, files in path:
        for f in files: 
            shutil.move(os.path.join(root,f),os.path.join('./finish',f))                #移动文件

    # 遍历删除压缩图片
    path = os.walk("./compress")
    for root, dirs, files in path:
        for f in files:
            os.remove(os.path.join(root, f))

    # 遍历压缩图片
    compressImage("./finish","./compress")

Finally, we just want to put pictures into compressed prepare the directory, and then perform photo.pycan be.

Source