利用opencv+keras+python实现人脸识别系统

# -*-coding:utf8 -*- import json import itertools import urllib import requests import os import re import sys import pickle import time from tqdm import tqdm str_table = { '_z2C$q': ':', '_z&e3B': '.', 'AzdH3F': '/' } char_table = { 'w': 'a', 'k': 'b', 'v': 'c', '1': 'd', 'j': 'e', 'u': 'f', '2': 'g', 'i': 'h', 't': 'i', '3': 'j', 'h': 'k', 's': 'l', '4': 'm', 'g': 'n', '5': 'o', 'r': 'p', 'q': 'q', '6': 'r', 'f': 's', 'p': 't', '7': 'u', 'e': 'v', 'o': 'w', '8': '1', 'd': '2', 'n': '3', '9': '4', 'c': '5', 'm': '6', '0': '7', 'b': '8', 'l': '9', 'a': '0' } # str 的translate方法需要用单个字符的十进制unicode编码作为key # value 中的数字会被当成十进制unicode编码转换成字符 # 也可以直接用字符串作为value char_table = {ord(key): ord(value) for key, value in char_table.items()} # 解码图片URL def decode(url): # 先替换字符串 for key, value in str_table.items(): url = url.replace(key, value) # 再替换剩下的字符 return url.translate(char_table) # 生成网址列表 def buildUrls(word): word = urllib.parse.quote(word) url = r"http://image.baidu.com/search/acjson?tn=resultjson_com&ipn=rj&ct=201326592&fp=result&queryWord={word}&cl=2&lm=-1&ie=utf-8&oe=utf-8&st=-1&ic=0&word={word}&face=0&istype=2nc=1&pn={pn}&rn=60" urls = (url.format(word=word, pn=x) for x in [0, 60, 120]) return urls # 解析JSON获取图片URL re_url = re.compile(r'"objURL":"(.*?)"') def resolveImgUrl(html): imgUrls = [decode(x) for x in re_url.findall(html)] return imgUrls def downImg(imgUrl, dirpath, imgName): filename = os.path.join(dirpath, imgName) try: res = requests.get(imgUrl, timeout=15) if str(res.status_code)[0] == "4": # print(str(res.status_code), ":", imgUrl) return False except Exception as e: # print("抛出异常：", imgUrl) # print(e) return False with open(filename, "wb") as f: f.write(res.content) return True def mkDir(dirpath): if not os.path.exists(dirpath): os.mkdir(dirpath) return dirpath def get_dir_name(dirpath): names = [] names = os.listdir(dirpath) return names def download(): print("开始下载图片") print("=" * 50) names = [] with open("names.pickle", "rb") as fi: names = pickle.load(fi) for name in names: finished_names = get_dir_name("/Users/songheqi/image") if (name in finished_names): continue index = 0 dirpath = mkDir("/Users/songheqi/image/" + name) word = name urls = buildUrls(word) index_url = 1 for url in urls: text = "download #{}{:>7}".format(index_url, name) html = requests.get(url, timeout=10).content.decode('utf-8') imgUrls = resolveImgUrl(html) if len(imgUrls) == 0: # 没有图片则结束 break progress = tqdm( total=len(imgUrls), desc=text ) for url in imgUrls: if downImg(url, dirpath, str(index) + ".jpg"): index += 1 progress.update(1) index_url += 1 progress.close() if __name__ == "__main__": download()