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import json
import requests
import simplejson
import base64

# 从图像中找人脸
def find_face(imgpath):
    # 打印正确调用此方法语句
    print('finding')

    # 按照官网指示，将下面字典内容传入下面网址
    http_url = 'https://api-cn.faceplusplus.com/facepp/v3/detect'
    # 传入字典
    data = {
        'api_key': 'RXcERmQWM_***********0YLyaSMq',     # api_key键值对
        'api_secret': 'WlKgVszU__*************AQfkrdfc',  # api_secret键值对
        'image_url': imgpath,    # 人脸图像本地路径
        'return_landmark': 1
    }
    # 以“读”的形式打开图片
    files = {'image_file': open(imgpath, 'rb')}
    # 将字典内容传入上述定义网址得到响应
    response = requests.post(http_url, data=data, files=files)
    print(response)
    # 查看得到的响应内容，以“utf-8”形式解码
    req_con = response.content.decode('utf-8')
    print(req_con)

    # 用simplejson库对json文件解码，方便提取其中的值
    this_json = simplejson.loads(req_con)
    # 得到响应内容中脸部数据的值
    faces = this_json['faces']
    list0 = faces[0]
    # 取出五官对应的矩形方框框起来的哪一部分脸部区域
    rectangle = list0['face_rectangle']
    print(rectangle)
    # 返回矩形框选区
    return rectangle

# 换脸
def merge_face(image_url1, image_url2, image_url, number):  # number换脸相似度
    # 调用find_face方法
    # image_url1是基准图，随后提取到的另一张图片的脸部区域要对应贴到此图片的脸上来
    ff1 = find_face(image_url1)
    # image_url2是提取脸部特征信息的图
    ff2 = find_face(image_url2)

    # 以“读”的形式打开该图像
    f1 = open(image_url1, 'rb')
    # 用base64库进行编码
    f1_64 = base64.b64encode(f1.read())
    # 读取之后要记得关闭
    f1.close()

    # 将两幅图的脸部区域的矩形框框起来的部位位置信息提取出来
    rectangle1 = str(ff1['top']) + ',' + str(ff1['left']) + ',' + str(ff1['width']) + ',' + str(ff1['height'])
    rectangle2 = str(ff2['top']) + ',' + str(ff2['left']) + ',' + str(ff2['width']) + ',' + str(ff2['height'])

    # 与f1类似
    f2 = open(image_url2, 'rb')
    f2_64 = base64.b64encode(f2.read())
    f2.close()

    # 按照官网指示，将下面字典内容传入下面网址
    url_add = 'https://api-cn.faceplusplus.com/imagepp/v1/mergeface'
    data = {
        'api_key': 'RXcERmQWM_*************0YLyaSMq',       # api_key键值对
        'api_secret': 'WlKgVszU__*************fkrdfc',    # api_secret键值对
        'template_base64': f1_64,
        'template_rectangle': rectangle1,
        'merge_base64': f2_64,
        'merge_rectangle': rectangle2,
        'merge_rate': number      # 换脸相似度
    }
    # 传入网址得到响应
    response1 = requests.post(url_add, data=data)
    req_con1 = response1.content.decode('utf-8')   # 用‘utf-8’编码
    print(req_con1)

    # 将json格式解码
    req_dict = json.JSONDecoder().decode(req_con1)
    result = req_dict['result']      # 得到result值
    imgdata = base64.b64decode(result)

    file = open(image_url, 'wb')     # 以‘写’的形式打开合成后的图片
    file.write(imgdata)       # 穿纳入合成后的图片数据值
    file.close()       # 关闭

import json
import requests
import simplejson
import base64

# 从图像中找人脸
def find_face(imgpath):
    print('finding')

    http_url = 'https://api-cn.faceplusplus.com/facepp/v3/detect'
    data = {
        'api_key': 'RXcERmQWM_**********p0YLyaSMq',   
        'api_secret': 'WlKgVszU__************AQfkrdfc',  
        'image_url': imgpath, 
        'return_landmark': 1
    }
    files = {'image_file': open(imgpath, 'rb')}
    response = requests.post(http_url, data=data, files=files)
    print(response)
    req_con = response.content.decode('utf-8')
    print(req_con)

    this_json = simplejson.loads(req_con)
    faces = this_json['faces']
    list0 = faces[0]
    rectangle = list0['face_rectangle']
    print(rectangle)
    return rectangle

# 换脸
def merge_face(image_url1, image_url2, image_url, number):  
    ff1 = find_face(image_url1)
    ff2 = find_face(image_url2)

    f1 = open(image_url1, 'rb')
    f1_64 = base64.b64encode(f1.read())
    f1.close()

    rectangle1 = str(ff1['top']) + ',' + str(ff1['left']) + ',' + str(ff1['width']) + ',' + str(ff1['height'])
    rectangle2 = str(ff2['top']) + ',' + str(ff2['left']) + ',' + str(ff2['width']) + ',' + str(ff2['height'])

    f2 = open(image_url2, 'rb')
    f2_64 = base64.b64encode(f2.read())
    f2.close()

    url_add = 'https://api-cn.faceplusplus.com/imagepp/v1/mergeface'
    data = {
        'api_key': 'RXcERmQWM_*********5p0YLyaSMq',    
        'api_secret': 'WlKgVszU__*********XAQfkrdfc',   
        'template_base64': f1_64,
        'template_rectangle': rectangle1,
        'merge_base64': f2_64,
        'merge_rectangle': rectangle2,
        'merge_rate': number    
    }
    response1 = requests.post(url_add, data=data)
    req_con1 = response1.content.decode('utf-8')  
    print(req_con1)

    req_dict = json.JSONDecoder().decode(req_con1)
    result = req_dict['result']    
    imgdata = base64.b64decode(result)

    file = open(image_url, 'wb')  
    file.write(imgdata)   
    file.close()  

if __name__ == '__main__':
    img1 = 'E:/image1.png'
    img2 = 'E:/image2.png'
    img = 'E:/image.png'
    merge_face(img1, img2, img, 100)