由于云盘空间有限,照片尺寸也是很大,所以写个Python程序压缩一下照片,腾出一些云盘空间
1、批量压缩照片
新建 photo_compress.py 代码如下
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# -*- coding: utf-8 -*-
"""脚本功能说明:使用 tinypng api,一键批量压缩指定文件(夹)所有文件"""
import os
import sys
from concurrent.futures import ThreadPoolExecutor, ProcessPoolExecutor # 线程池,进程池
import json
import random
import requests
from you_get import common
from shutil import copyfile
def get_file_dir( file ):
"""获取文件目录通用函数"""
fullpath = os.path.abspath(os.path.realpath( file ))
return os.path.dirname(fullpath)
def check_suffix(file_path):
"""检查指定文件的后缀是否符合要求"""
file_path_lower = file_path.lower()
return (file_path_lower.endswith( '.png' )
or file_path_lower.endswith( '.jpg' )
or file_path_lower.endswith( '.jpeg' ))
def download_tinypng(input_file, url, output_file):
file_name = os.path.basename(input_file)
arr = file_name.split( '.' )
new_file_name = arr[ len (arr) - 2 ] + '_compress'
new_output_file = os.path.join(os.path.dirname(output_file), arr[ len (arr) - 2 ] + '_compress.' + arr[ len (arr) - 1 ])
print (u '开始下载文件 :%s' % new_output_file)
# print(os.path.splitext(os.path.basename(output_file))[0])
sys.argv = [ 'you-get' , '-o' , os.path.dirname(
output_file), '-O' , new_file_name, url]
common.main()
old_size = os.path.getsize(input_file)
new_size = os.path.getsize(new_output_file)
print (u '文件保存地址:%s' % new_output_file)
print (u '压缩后文件大小:%d KB' % (new_size / 1024 ))
print (u '压缩比: %d%%' % ((old_size - new_size) * 100 / old_size))
def compress_by_tinypng(input_file):
if not check_suffix(input_file):
print (u '只支持png\\jpg\\jepg格式文件:' + input_file)
return
file_name = os.path.basename(input_file)
arr = file_name.split( '.' )
new_file_name = arr[ len (arr) - 2 ] + '_compress.' + arr[ len (arr) - 1 ]
output_path = os.path.join(get_file_dir(input_file), 'compress_output' )
output_file = os.path.join(output_path, new_file_name)
if not os.path.isdir(output_path):
os.makedirs(output_path)
if (os.path.exists(output_file)):
print ( "已存在,跳过压缩" )
return
try :
old_size = os.path.getsize(input_file)
print (u '压缩前文件名:%s文件大小:%d KB' % (input_file, old_size / 1024 ))
if (old_size < 1024 * 1024 ):
print ( "已跳过压缩,并直接拷贝文件" )
try :
copyfile(input_file, output_file)
except IOError as e:
print ( "Unable to copy file. %s" % e)
return
print ( "开始压缩" )
shrink_image(input_file)
print (u '文件压缩成功:%s' % input_file)
# download_thread_pool.submit(download_tinypng, source, input_file, output_file)
except Exception as e:
print (u '报错了:%s' % e)
def check_path(input_path):
"""如果输入的是文件则直接压缩,如果是文件夹则先遍历"""
if os.path.isfile(input_path):
compress_by_tinypng(input_path)
elif os.path.isdir(input_path):
dirlist = os.walk(input_path)
for root, dirs, files in dirlist:
if ( not (root.endswith( "\\compress_output" ) or root.endswith( "/compress_output" ))):
i = 0
for filename in files:
i = i + 1
process_pool.submit(compress_by_tinypng, os.path.join(
root, filename))
# compress_by_tinypng(os.path.join(root, filename))
else :
print (u '目标文件(夹)不存在,请确认后重试。' )
def list_images(path):
images = None
try :
if path:
os.chdir(path)
full_path = os.getcwd()
files = os.listdir(full_path)
images = []
for file in files:
ext = os.path.splitext( file )[ 1 ].lower()
if ext in ( '.jpg' , '.jpeg' , '.png' ):
images.append(os.path.join(full_path, file ))
except :
pass
return images
def shrink_image(file_path):
print (u '源文件地址:%s' % file_path)
result = shrink(file_path)
if result:
output_path = generate_output_path(file_path)
url = result[ 'output' ][ 'url' ]
print (u '下载地址:%s' % url)
download_tinypng(file_path, url, output_path)
# download_thread_pool.submit(download_tinypng, file_path, url, output_path)
# response = requests.get(url)
# with open(output_path, 'wb') as file:
# file.write(response.content)
# print(u'文件保存地址:%s' % output_path)
# print('%s %d=>%d(%f)' % (
# result['input']['type'],
# result['input']['size'],
# result['output']['size'],
# result['output']['ratio']
# ))
else :
print ( '压缩失败' )
def shrink(file_path):
url = 'https://tinypng.com/web/shrink'
headers = {
'Cache-Control' : 'no-cache' ,
'Content-Type' : 'application/x-www-form-urlencoded' ,
'User-Agent' : 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/85.0.4183.83 Safari/537.36 Edg/85.0.564.44' ,
'X-Forwarded-For' : get_random_ip()
}
result = None
try :
file = open (file_path, 'rb' )
response = requests.post(url, headers = headers, data = file )
result = json.loads(response.text)
except Exception as e:
print (u '报错了:%s' % e)
if file :
file .close()
if result and result[ 'input' ] and result[ 'output' ]:
return result
else :
return None
def generate_output_path(file_path):
parent_path = os.path.abspath(os.path.dirname(file_path))
output_path = os.path.join(parent_path, 'compress_output' )
if not os.path.isdir(output_path):
os.mkdir(output_path)
return os.path.join(output_path, os.path.basename(file_path))
def get_random_ip():
ip = []
for i in range ( 4 ):
ip.append( str (random.randint( 0 if i in ( 2 , 3 ) else 1 , 254 )))
return '.' .join(ip)
if __name__ = = '__main__' :
thread_pool = ThreadPoolExecutor( 5 ) # 定义5个线程执行此任务
download_thread_pool = ThreadPoolExecutor( 10 ) # 定义5个线程执行此任务
process_pool = ProcessPoolExecutor( 8 ) # 定义5个进程
len_param = len (sys.argv)
if len_param ! = 2 and len_param ! = 3 :
print ( '请使用: %s [filepath]' % os.path.basename(sys.argv[ 0 ]))
else :
check_path(sys.argv[ 1 ])
input ( "Press <enter> 请耐心等待\n" )
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执行python .\photo_compress.py F:\\test
生成compress_output文件夹,里面就是压缩的文件,但此时的照片没有,拍摄时的时间、位置的信息,所以下面要复制文件信息
若要压缩的文件不全,可以再执行一次压缩(会自动过滤已压缩的照片)
2、批量拷贝照片信息
使用pyexiv2进行文件信息拷贝
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pip install pyexiv2 -i https: //pypi .tuna.tsinghua.edu.cn /simple
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新建 copy_fileinfo.py 代码如下
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# -*- coding: utf-8 -*-
"""脚本功能说明:使用 pyexiv2 api,一键批量拷贝指定文件(夹)所有文件信息"""
import os
import sys
from concurrent.futures import ThreadPoolExecutor, ProcessPoolExecutor # 线程池,进程池
from pyexiv2 import Image
def get_file_dir( file ):
"""获取文件目录通用函数"""
fullpath = os.path.abspath(os.path.realpath( file ))
return os.path.dirname(fullpath)
def check_suffix(file_path):
"""检查指定文件的后缀是否符合要求"""
file_path_lower = file_path.lower()
return (file_path_lower.endswith( '.png' )
or file_path_lower.endswith( '.jpg' )
or file_path_lower.endswith( '.jpeg' ))
def copyinfo_by_pyexiv2(input_file):
file_name = os.path.basename(input_file)
arr = file_name.split( '.' )
new_file_name = arr[ len (arr) - 2 ] + '_compress.' + arr[ len (arr) - 1 ]
output_path = os.path.join(get_file_dir(input_file), 'compress_output' )
output_file = os.path.join(output_path, new_file_name)
if not (check_suffix(input_file) or check_suffix(output_file)):
print (u '只支持png\\jpg\\jepg格式文件:' + input_file)
return
if not (os.path.exists(output_file)):
print (u '文件不存在:' + output_file)
return
old_size = os.path.getsize(input_file)
if (old_size < 1024 * 1024 ):
print (u "已跳过拷贝文件信息:" , input_file)
return
# if not os.path.isdir(output_path):
# os.makedirs(output_path)
try :
except Exception:
i = Image(input_file, "GB18030" )
try :
_exif_info = i.read_exif()
except Exception:
_exif_info = i.read_exif( "GB18030" )
# print(_exif_info)
# _iptc_info = i.read_iptc()
# print(_iptc_info)
# _xmp_info = i.read_xmp()
# print(_xmp_info)
i.close()
try :
i2 = Image(output_file) # 拷贝信息图片路径
except Exception:
i2 = Image(output_file, "GB18030" )
try :
_exif_info2 = i2.read_exif()
except Exception:
_exif_info2 = i2.read_exif( "GB18030" )
# 方向不拷贝,防止图片旋转
for item in _exif_info:
if ( "Exif.Image.Orientation" ! = item):
if (_exif_info2.get(item) ! = _exif_info.get(item)):
try :
i2.modify_exif({item: _exif_info[item]})
except Exception as e:
print (e)
try :
i2.modify_exif({item: _exif_info[item]}, "GB18030" )
except Exception as e:
print (e)
i2.close()
print (u "拷贝信息完成:" + input_file)
def check_path(input_path):
"""如果输入的是文件则直接压缩,如果是文件夹则先遍历"""
if os.path.isfile(input_path):
copyinfo_by_pyexiv2(input_path)
elif os.path.isdir(input_path):
dirlist = os.walk(input_path)
for root, dirs, files in dirlist:
if ( not (root.endswith( "\\compress_output" ) or root.endswith( "/compress_output" ))):
i = 0
for filename in files:
i = i + 1
process_pool.submit(copyinfo_by_pyexiv2, os.path.join(
root, filename))
else :
print (u '目标文件(夹)不存在,请确认后重试。' )
if __name__ = = '__main__' :
# thread_pool = ThreadPoolExecutor(10) # 定义5个线程执行此任务
process_pool = ProcessPoolExecutor( 8 ) # 定义5个进程
len_param = len (sys.argv)
if len_param ! = 2 :
print ( '请使用: %s [filepath]' % os.path.basename(sys.argv[ 0 ]))
else :
check_path(sys.argv[ 1 ])
input ( "Press <enter> 请耐心等待\n" )
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执行python .\copy_fileinfo.py F:\\test
大功告成!图片压缩完毕,信息还没有丢失
以上就是python 无损批量压缩图片(支持保留图片信息)的示例的详细内容,更多关于python 无损批量压缩图片的资料请关注服务器之家其它相关文章!
原文链接:https://www.cnblogs.com/xiaocaidev/p/13617120.html