Realization of Image Batch Compression with python

Directory 1 1: Installation Package 2: Import Package 3: Get the size of the picture file 4: Output folder 5: Compress the file to the specified size, I expect 150KB, step and quality can be modified to the most appropriate value 6: Modify the picture size, if there is a need to modify the size and size at the same time, you can modify the size first, and then compress the size 7: Run the program 2

A large number of pictures are used in the project to load. Because the pictures are too large and the loading speed is slow, it is necessary to compress the files in a unified way

Type 1

1: Installation package

python -m pip install Pillow

2: Import package

from PIL import Image
import os

3: Get the size of the picture file

def get_size(file):
    #  Get the file size :KB
    size = os.path.getsize(file)
    return size / 1024

4: Files under the output folder

dir_path = r'file_path'
items = os.listdir(dir_path)

for item in items:
    # print(item)
    path = os.path.join(dir_path, item)
    print(item)

5: Compress the file to the specified size. I expect 150KB, step and quality to be modified to the most appropriate values

def compress_image(infile, outfile=None, mb=150, step=10, quality=80):
    """ Compress the picture to the specified size without changing the size 
    :param infile:  Compress source file 
    :param outfile:  Save address of compressed file 
    :param mb:  Compress the target, KB
    :param step:  Compression ratio per adjustment 
    :param quality:  Initial compression ratio 
    :return:  Compressed file address, compressed file size 
    """
    if outfile is None:
        outfile = infile
    o_size = get_size(infile)
    if o_size <= mb:
        im = Image.open(infile)
        im.save(outfile)

    while o_size > mb:
        im = Image.open(infile)
        im.save(outfile, quality=quality)
        if quality - step < 0:
            break
        quality -= step
        o_size = get_size(outfile)

6: Modify the size of the picture. If you need to modify the size and size at the same time, you can modify the size first and then compress the size

def resize_image(infile, outfile='', x_s=800):
    """ Modify picture size 
    :param infile:  Picture source file 
    :param outfile:  Reset Size File Save Address 
    :param x_s:  Set width 
    :return:
    """
    im = Image.open(infile)
    x, y = im.size
    y_s = int(y * x_s / x)
    out = im.resize((x_s, y_s), Image.ANTIALIAS)

    out.save(outfile)

7: Run the program

if __name__ == '__main__':
                      #  Source path       #  Path after compression 
    compress_image(r"file_path", r"E:\docs\2.JPG")
                    #  Source path       #  Path after compression 
    resize_image(r"file_path", r"E:\docs\3.JPG")

Type 2

import os
from PIL import Image
import threading,time

def imgToProgressive(path):
    if not path.split('.')[-1:][0] in ['png','jpg','jpeg']:  #if path isn't a image file,return
        return
    if os.path.isdir(path):
        return
##########transform img to progressive
    img = Image.open(path)
    destination = path.split('.')[:-1][0]+'_destination.'+path.split('.')[-1:][0]
    try:
        print(path.split('\\')[-1:][0],' Start converting pictures ')
        img.save(destination, "JPEG", quality=80, optimize=True, progressive=True) # Conversion is to save directly as 
        print(path.split('\\')[-1:][0],' Conversion complete ')
    except IOError:
        PIL.ImageFile.MAXBLOCK = img.size[0] * img.size[1]
        img.save(destination, "JPEG", quality=80, optimize=True, progressive=True)
        print(path.split('\\')[-1:][0],' Conversion complete ')
    print(' Start renaming files ')
    os.remove(path)
    os.rename(destination,path)

for d,_,fl in os.walk(os.getcwd()):    # Traverse all files in the directory 
    for f in fl:
        try:
            imgToProgressive(d+'\\'+f)
        except:
            pass

The above is the python image batch compression details, more information about python image compression please pay attention to other related articles on this site!