需要導(dǎo)入的包：

必備模塊：import urllib

請求模塊：import urllib.request?

解析模塊：import urllib.parse??可以拆分URL，也可以拼接URL

數(shù)據(jù)交換格式：import json

需要輸入的參數(shù)是：

URL地址

method方式：POST

API_KEY：自己申請的號

body：字典，有type；POST的參數(shù)：image_1:image的路徑+圖片

headers：請求頭部??{'content-type': 'application/json'}或者('Authorization', 'APPCODE ' + appcode)

涉及到的封裝好的方法：

data1 =?json.dumps(bodys)：將輸入的body字典轉(zhuǎn)化成json格式（Python 對象編碼成 JSON 字符串）

data2 = data1.encode('utf-8')：將utf-8的編碼格式通過encode編碼成python對象是別的Unicode的格式

req1= urllib.request.Request(url, data) ：使用request包里面的Request的方法，對該網(wǎng)址發(fā)出POST請求，還要附加data2

request.add_header('Authorization', 'APPCODE ' + appcode)和參數(shù)('Content-Type', 'application/json; charset=UTF-8')? 請求頭

response = urllib.request.urlopen(req1)：將上述請求得到的結(jié)果，通過request里面的urlopen的方法，返回一個類文件對象

content = response.read()：對上述獲得的類文件對象讀取內(nèi)容

然后就可以打印出讀取到的content，看看服務(wù)器給你響應(yīng)了寫啥玩意

json.loads

將已編碼的 JSON 字符串解碼為 Python 對象

代碼

前面一個是，輸入兩張圖片，輸出兩張圖片的相似度

后面是，依次遍歷lfw人臉識別的數(shù)據(jù)集，每次輸入兩張圖片，對應(yīng)輸出一個結(jié)果

import urllib import urllib.request import urllib.parse import jsonhost = 'http://rlsbbd.market.alicloudapi.com' path = '/face/verify' method = 'POST' appcode = '5axxxxxx39e7xxxxxxxx1fb7' querys = '' bodys = {} url = host + pathbodys = {"type": 0,"image_url_1": "http://vis-www.cs.umass.edu/lfw/images/David_Beckham/David_Beckham_0011.jpg","image_url_2": 'http://vis-www.cs.umass.edu/lfw/images/David_Beckham/David_Beckham_0029.jpg'} post_data = json.dumps(bodys) post_data = post_data.encode('utf-8') request = urllib.request.Request(url, post_data) request.add_header('Authorization', 'APPCODE ' + appcode) request.add_header('Content-Type', 'application/json; charset=UTF-8') response = urllib.request.urlopen(request) content = response.read() if (content):print(content) return content import urllib import urllib.request import urllib.parse import time import jsondef compare(image1,image2):host = 'http://rlsbbd.market.alicloudapi.com'path = '/face/verify'method = 'POST'appcode = '5axxxxxxx39exxxxxxxxxxa1fb7'querys = ''bodys = {}url = host + pathbodys = {"type":0,"image_url_1":image1,"image_url_2":image2}post_data = json.dumps(bodys)post_data = post_data.encode('utf-8')request = urllib.request.Request(url, post_data)request.add_header('Authorization', 'APPCODE ' + appcode)request.add_header('Content-Type', 'application/json; charset=UTF-8')response = urllib.request.urlopen(request)content = response.read()if (content):print(content)return contentdef compare_test():lfw_file = open("pairs.txt")res_file1 = open("f1.txt", "a+")res_file2 = open("f2.txt", "a+")count = 0while 1:image_path = "http://vis-www.cs.umass.edu/lfw/images/"line = lfw_file.readline()if not line:breakline = line.strip('\n')images = line.split('\t')if len(images) > 3:register_image = image_path + images[0] + "/" + images[0] + "_"if len(images[1]) < 2:register_image = register_image + "000" + images[1] + ".jpg"elif len(images[1]) < 3:register_image = register_image + "00" + images[1] + ".jpg"elif len(images[1]) < 4:register_image = register_image + "0" + images[1] + ".jpg"else:register_image = register_image + images[1] + ".jpg"verify_image = image_path + images[2] + "/" + images[2] + "_"if len(images[3]) < 2:verify_image = verify_image + "000" + images[3] + ".jpg"elif len(images[3]) < 3:verify_image = verify_image + "00" + images[3] + ".jpg"elif len(images[3]) < 4:verify_image = verify_image + "0" + images[3] + ".jpg"else:verify_image = verify_image + images[3] + ".jpg"else:register_image = image_path + images[0] + "/" + images[0] + "_"if len(images[1]) < 2:register_image = register_image + "000" + images[1] + ".jpg"elif len(images[1]) < 3:register_image = register_image + "00" + images[1] + ".jpg"elif len(images[1]) < 4:register_image = register_image + "0" + images[1] + ".jpg"else:register_image = register_image + images[1] + ".jpg"verify_image = image_path + images[0] + "/" + images[0] + "_"if len(images[2]) < 2:verify_image = verify_image + "000" + images[2] + ".jpg"elif len(images[2]) < 3:verify_image = verify_image + "00" + images[2] + ".jpg"elif len(images[2]) < 4:verify_image = verify_image + "0" + images[2] + ".jpg"else:verify_image = verify_image + images[2] + ".jpg"content = compare(register_image, verify_image)content = str(content)content = content.strip('b\'')content = json.loads(content)if (int(count / 300)) % 2 == 0:flag = 1else:flag = 0if 'confidence' in content.keys():score = content['confidence']else:score = '-1'if flag == 1:res_file1.write(line + '\t' + str(score) + '\t' + str(flag) + '\n')elif flag==0:res_file2.write(line + '\t' + str(score) + '\t' + str(flag) + '\n')count += 1time.sleep(3)lfw_file.close()res_file1.close()res_file2.close()compare_test()

附加：

py文件中的編碼

utf-8是 unicode的一種實現(xiàn)方式，unicode、gbk、gb2312是編碼字符集.

Python 默認(rèn)腳本文件都是 ANSCII 編碼的，當(dāng)文件 中有非 ANSCII 編碼范圍內(nèi)的字符的時候就要使用"編碼指示"來修正一個 module 的定義中，如果.py文件中包含中文字符（嚴(yán)格的說是含有非anscii字符），則需要在第一行或第二行指定編碼聲明：# -*- coding=utf-8 -*- 或者 #coding=utf-8
其他的編碼如：gbk、gb2312也可以；否則會出現(xiàn):

SyntaxError: Non-ASCII character '\xe4' in file test.py on line 3,

python 編碼轉(zhuǎn)換函數(shù)

unicode 轉(zhuǎn)為 gb2312,utf-8等,使用 encode(encoding)

s = u'中國' s_gb = s.encode('gb2312')

utf-8,GBK轉(zhuǎn)換為 unicode 使用 unicode(s,encoding) 或者 s.decode(encoding)

s = u'中國' #s為unicode先轉(zhuǎn)為utf-8 s_utf8 = s.encode('UTF-8') assert(s_utf8.decode('utf-8') == s)

?

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