人脸融合不同于AI换脸，因为人脸融合是将两个人的面部特征都保留了下来，而AI换脸是把原来人的面部特征全部由另一个人替换。
@[toc]
官网地址
[人脸融合
请求access——token
# encoding:utf-8
import requests
# client_id 为官网获取的AK， client_secret 为官网获取的SK
host = 'https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id=【官网获取的AK】&client_secret=【官网获取的SK】'
response = requests.get(host)
if response:
print(response.json())
处理图片
with open('banben.jpg','rb') as f:
img = base64.b64encode(f.read())
img1 = img.decode()
with open('zixia.jpg','rb') as f:
img = base64.b64encode(f.read())
img2 = img.decode()
调用人脸融合url
'''
人脸融合
'''
request_url = "https://aip.baidubce.com/rest/2.0/face/v1/merge"
params = "{\"image_template\":{\"image\":\"sfasq35sadvsvqwr5q...\",\"image_type\":\"BASE64\",\"quality_control\":\"NONE\"},\"image_target\":{\"image\":\"sfasq35sadvsvqwr5q...\",\"image_type\":\"BASE64\",\"quality_control\":\"NONE\"}}"
access_token = '[调用鉴权接口获取的token]'
request_url = request_url + "?access_token=" + access_token
headers = {'content-type': 'application/json'}
response = requests.post(request_url, data=params, headers=headers)
if response:
print (response.json())
核心概念
模板图（template_image）：要求被融合的人脸边缘需要与图片边缘保持一定距离，保证被融合的人脸的的核心区域完全在图片中。
目标图 （target_image）：目标图无严格限制， 建议选择 正脸 清晰 图像，如下面的手机自拍照。
完整代码
# -*- coding: utf-8 -*-
"""
Created on Mon Feb 1 23:41:59 2021
@author: lenovo
"""
# encoding:utf-8
import requests
import base64
import json
from PIL import Image
import matplotlib.pyplot as plt
# client_id 为官网获取的AK， client_secret 为官网获取的SK
host = 'https://aip.baidubce.com/oauth/2.0/token'
data={
'grant_type':'client_credentials', # 固定值
'client_id':'OEGw4UihfBsjQuef5b9068cX', # 在开放平台注册后所建应用的API Key
'client_secret':'iBoMMtxZDMgQzsK8zpKr2rVVp1qd7koG' # 所建应用的Secret Key
}
response = requests.post(host,data=data)
if response:
res=response.json()
access_token=res['access_token']
#print(access_token)
'''
人脸融合
'''
with open('banben.jpg','rb') as f:
img = base64.b64encode(f.read())
img1 = img.decode()
with open('zixia.jpg','rb') as f:
img = base64.b64encode(f.read())
img2 = img.decode()
#print(img1)
request_url = "https://aip.baidubce.com/rest/2.0/face/v1/merge"
params = {
"image_template": {
"image": img1,
"image_type": "BASE64",
"quality_control": "NORMAL"
},
"image_target": {
"image": img2,
"image_type": "BASE64",
"quality_control": "NORMAL"
},
"merge_degree": "HIGH"
}
params = json.dumps(params)
request_url = request_url + "?access_token=" + access_token
headers = {'content-type': 'application/json'}
response = requests.post(request_url, data=params, headers=headers)
if response:
result = response.json()['result']['merge_image']
imagedata = base64.b64decode(result)
file = open('./result.jpg', "wb")
file.write(imagedata)
image = Image.open('result.jpg')
plt.imshow(image)
plt.axis('off')
plt.show()
效果展示
模板图（template_image）
目标图（target——image）
融合图
