import os,cv2,requests,json,re,time import tensorflow as tf from bs4 import BeautifulSoup def check_path(path): try: a = [] for i in path.split('/'): if i != '': a.append(i) path = '/'.join(a) except: pass return path def decrypt_objURL(str): """ :param str: 加密的图片地址 :return:解密后的图片地址 type=str """ 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", '_z2C$q': ":", "_z&e3B": ".", 'AzdH3F': "/"} url = re.sub(r'(?P<value>_z2C\$q|_z\&e3B|AzdH3F+)', lambda matched: table.get(matched.group('value')),str) new_url = re.sub(r'(?P<value>[0-9a-w])', lambda matched: table.get(matched.group('value')), url) return new_url def Request_Img(word='佟丽娅',imgNum=300): objURL_list = [] for i,page in enumerate(range(0,imgNum,30)): Url = 'http://image.baidu.com/search/acjson?tn=resultjson_com&ipn=rj&word={}&pn={}'.format(word,str(page)) response = requests.get(url=Url).json()['data'] # print(response) try: for img in response: url = decrypt_objURL(img['objURL']) # print(url) objURL_list.append(url) except Exception as e: print('出现异常！！！',e) return objURL_list def Face_Detection(urllist,savepath='./TLY'): if len(urllist) != 0: for url in urllist: print(url) try: re = requests.get(url=url).content with open('./.img','wb') as f: f.write(re) face_cascade = cv2.CascadeClassifier('./haarcascade_frontalface_default.xml') img = cv2.imread('./.img') # cv2.imshow('etst',img) # cv2.waitKey(10) # cv2.destroyAllWindows() gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY) faces = face_cascade.detectMultiScale(gray, scaleFactor=1.15, minNeighbors=10, minSize=(1,1)) if len(faces) != 0: print(faces) for x,y,w,h in faces: if not os.path.exists(savepath): os.mkdir(savepath) if not os.path.exists(check_path(savepath+'/face')): os.mkdir(check_path(savepath+'/face')) name = ''.join(str(time.time()).split('.')) cv2.imwrite(savepath+'/face/'+name+'_face'+'.jpg',img[y-10:y+h+10,x-10:x+w+10]) cv2.imwrite(savepath+'/'+name+'.jpg',cv2.rectangle(img,(x,y),(x+w,y+h),(0,255,0),2)) except: pass if __name__ == '__main__': Face_Detection(Request_Img()) 来源：博客园
作者：first_code
链接：https://www.cnblogs.com/zxingwork/p/11421634.html