标签：isp conf closed face++ jpg nes window 需要 none
人脸识别
首先我想描述一下，在学校的时候一直好奇人脸识别与人脸检测这个技术，之后做了很多实验，曾经使用过很多简单的算法来做人脸相似度对比，比如：夹角余弦算法、判断两个矩阵之间对应位置元素相同来做统计、直方图比对、欧氏距离、绝对值距离等等很多这种低级的实验我都做过，一次次的识别让我感到万分难过。之后我不在最求这种算法的研究了，改成了看别人如何实现的，你也实现出来就好。很多人说这是it从业者的征兆，这样我彻底相信了，因为作为一个it开发的从业工作者，不能什么东西都需要自己开发，公司的要求是尽快的把项目赶出来，才能到达利益最大化。下面我为大家带来我在学校一直实验的人脸识别实现吧。当然我是在调用别人的接口。
1、导入所需要的包
import requests from json import JSONDecoder import cv2
2、定义请求返回数据画出人脸
def drawFace(face_rectangle,img): width = face_rectangle[‘width‘] top = face_rectangle[‘top‘] left = face_rectangle[‘left‘] height = face_rectangle[‘height‘] start = (left, top) end = (left + width, top + height) color = (55, 255, 155) thickness = 3 cv2.rectangle(img, start, end, color, thickness)
3、准备好post请求的地址、key、password。
compare_url = "https://api-cn.faceplusplus.com/facepp/v3/compare" key = "5Ut_EUtu3dG8Q60UBQdj8_LICgc4KByR" secret = "cWXtsKOMx62m8zHUx810MG-0oGoOnhSO" faceId1 = "img_test/tong1.jpg" # 图片地址 faceId2 = "img_test/tong2.jpg" # 图片地址 data = {"api_key": key, "api_secret": secret} files = {"image_file1": open(faceId1, "rb"), "image_file2": open(faceId2, "rb")} response = requests.post(compare_url, data=data, files=files)
4、对http返回数据进行转换提取
req_con = response.content.decode(‘utf-8‘) req_dict = JSONDecoder().decode(req_con) print(req_dict) #置信度，越高说明越像 confindence = req_dict[‘confidence‘] print(confindence) #将人脸框出来 face_rectangle_1 = req_dict[‘faces1‘][0][‘face_rectangle‘] # print(face_rectangle_1) face_rectangle_2 = req_dict[‘faces2‘][0][‘face_rectangle‘]
5、画出检测对比的人脸
img1 = cv2.imread(faceId1) img2 = cv2.imread(faceId2) if confindence>=80: drawFace(face_rectangle_1,img1) drawFace(face_rectangle_2,img2) #图片过大，调整下大小 img1 = cv2.resize(img1,(500,500)) img2 = cv2.resize(img2,(500,500)) cv2.imshow("img1",img1) cv2.imshow("img2",img2) cv2.waitKey(0) cv2.destroyAllWindows()
6、下面是完整代码：
# coding:utf-8
import requests from json import JSONDecoder import cv2 def drawFace(face_rectangle,img): width = face_rectangle[‘width‘] top = face_rectangle[‘top‘] left = face_rectangle[‘left‘] height = face_rectangle[‘height‘] start = (left, top) end = (left + width, top + height) color = (55, 255, 155) thickness = 3 cv2.rectangle(img, start, end, color, thickness) compare_url = "https://api-cn.faceplusplus.com/facepp/v3/compare" key = "5Ut_EUtu3dG8Q60UBQdj8_LICgc4KByR" secret = "cWXtsKOMx62m8zHUx810MG-0oGoOnhSO" faceId1 = "img_test/tong1.jpg" # 图片地址 faceId2 = "img_test/tong2.jpg" # 图片地址 data = {"api_key": key, "api_secret": secret} files = {"image_file1": open(faceId1, "rb"), "image_file2": open(faceId2, "rb")} response = requests.post(compare_url, data=data, files=files) req_con = response.content.decode(‘utf-8‘) req_dict = JSONDecoder().decode(req_con) print(req_dict) #置信度，越高说明越像 confindence = req_dict[‘confidence‘] print(confindence) #将人脸框出来 face_rectangle_1 = req_dict[‘faces1‘][0][‘face_rectangle‘] # print(face_rectangle_1) face_rectangle_2 = req_dict[‘faces2‘][0][‘face_rectangle‘] img1 = cv2.imread(faceId1) img2 = cv2.imread(faceId2) if confindence>=80: drawFace(face_rectangle_1,img1) drawFace(face_rectangle_2,img2) #图片过大，调整下大小 img1 = cv2.resize(img1,(500,500)) img2 = cv2.resize(img2,(500,500)) cv2.imshow("img1",img1) cv2.imshow("img2",img2) cv2.waitKey(0) cv2.destroyAllWindows()
标签：isp conf closed face++ jpg nes window 需要 none
原文地址：https://www.cnblogs.com/wuzaipei/p/9471669.html
