python 无损批量压缩图片（支持保留图片信息）的示例 无损批量压缩图片（支持保留图片信息）的示例 主要介绍了python 无损批量压缩图片的示例，帮助大家更好的利用python处理图片，感兴趣的朋友可以了解下 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 、批量压缩照片 新建 photo_compress.py 代码如下 # -*- 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 请耐心等待\n") 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 、批量拷贝照片信息 使用pyexiv2进行文件信息拷贝 pip install pyexiv2 -i https://pypi.tuna.tsinghua.edu.cn/simple 新建 copy_fileinfo.py 代码如下 # -*- 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: i = Image(input_file) # 源图片路径 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 请耐心等待\n") 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 我们其它相关文章！