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在上篇博客中,介绍了应用dlib和openCV进行人脸融合的方法,这里介绍一个更简单、效果更好的方法,就是调用旷世科技的人脸融合接口:https://api-cn.faceplusplus.com/imagepp/v1/mergeface。
在实际运用过程中,还调用了人脸检测接口:https://api-cn.faceplusplus.com/facepp/v3/detect。
效果如图,可见,比前一种方法效果好很多:
具体代码如下:
- import requests
- import simplejson
- import json
- #接口的报文是通过base64加密传输的,这种加密方式是可逆的。所以在进行接口自动化时,需要对所传的参数进行base64编码
- import base64
-
- #Face++网址:[url]https://console.faceplusplus.com.cn/dashboard[/url]
- #第一步,获取人脸关键点
- def find_face(imgpath):
- print("正在查找……")
- http_url = 'https://api-cn.faceplusplus.com/facepp/v3/detect'
- data = {"api_key": 'api_key',
- "api_secret": 'api_secret',
- "image_url": imgpath, "return_landmark": 1}
- files = {"image_file": open(imgpath, "rb")}
- response = requests.post(http_url, data=data, files=files)
- req_con = response.content.decode('utf-8')
- req_dict = json.JSONDecoder().decode(req_con)
- this_json = simplejson.dumps(req_dict)
- this_json2 = simplejson.loads(this_json)
- print(this_json2)
- faces = this_json2['faces']
- list0 = faces[0]
- rectangle = list0['face_rectangle']
- #print(rectangle)
- return rectangle
-
- #第二步,换脸,其中图片的大小应不超过2M
- # number表示换脸的相似度
- def merge_face(image_url1, image_url2, image_url, number):
-
- ff1 = find_face(image_url1)
- ff2 = find_face(image_url2)
-
- rectangle1 = str(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'])
- print(rectangle2)
- url_add = "https://api-cn.faceplusplus.com/imagepp/v1/mergeface"
- f1 = open(image_url1, 'rb')
- f1_64 = base64.b64encode(f1.read())
- f1.close()
- f2 = open(image_url2, 'rb')
- f2_64 = base64.b64encode(f2.read())
- f2.close()
-
- data = {"api_key": 'api_key',
- "api_secret": 'api_secret',
- "template_base64": f1_64, "template_rectangle": rectangle1,
- "merge_base64": f2_64, "merge_rectangle": rectangle2, "merge_rate": number}
-
- response = requests.post(url_add, data=data)
- req_con1 = response.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()
-
- image1 = '/Users/chenyan/Desktop/AI/googleAI/faceswap_Face++/11.jpg'
- image2 = '/Users/chenyan/Desktop/AI/googleAI/faceswap_Face++/bb.jpg'
- image = '/Users/chenyan/Desktop/AI/googleAI/faceswap_Face++/testbb.jpg'
-
- merge_face(image2, image1, image, 80)
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