Flask接口签名sign原理与实例代码浅析
281
2022-06-06
1、代码
from aip import AipFace import cv2 import time import base64 from PIL import Image from io import BytesIO import pyttsx3 # """ 你的 APPID AK SK """ APP_ID = '1965####' API_KEY = 'YXL65ekIloykyjrT4kzc####' SECRET_KEY = 'lFiapBoZ5eBwOFyxMbiwQDmClg1u####' client = AipFace(APP_ID, API_KEY, SECRET_KEY) # def frame2base64(frame): # img = Image.fromarray(frame) #将每一帧转为Image # output_buffer = BytesIO() #创建一个BytesIO # img.save(output_buffer, format='JPEG') #写入output_buffer # byte_data = output_buffer.getvalue() #在内存中读取 # image = base64.b64encode(byte_data) #转为BASE64 # return image #转码成功 返回base64编码 def generate(): camera = cv2.VideoCapture(0) engine = pyttsx3.init() try: while True: engine = pyttsx3.init() ret, img = camera.read() cv2.imwrite("E://Ana/face.png",img) cv2.imshow("调用摄像头", img) imageType = "BASE64" groupIdList = "1,2,3,4" """ 如果有可选参数 """ options = {} options["max_face_num"] = 4 options["match_threshold"] = 70 options["quality_control"] = "NORMAL" options["liveness_control"] = "NONE" # options["user_id"] = "233451" options["max_user_num"] = 4 # """ 带参数调用人脸搜索 """ with open("E://Ana/face.png", 'rb') as fp: imageB = base64.b64encode(fp.read()) image = str(imageB, 'utf-8') """ 调用人脸搜索 """ result = client.search(image, imageType, groupIdList, options) engine.runAndWait() print(2) if result: if not result['result']: continue name = result['result']['user_list'][0]['user_id']#获取名字 score = result['result']['user_list'][0]['score']#获取相似度 if name == 'cgh_1': if score>80: print(score) print(name) engine.say("华来了") elif name == 'yjc_1': if score > 80: print(score) print(name) engine.say("杨来了") elif name == 'cjy_1': if score > 80: print(score) print(name) engine.say("言来了") elif name == 'hjy_1': if score > 80: print(score) print(name) engine.say("怡来了") else: print("匹配失败") else: continue except Exception as e: print(e) finally: # 释放资源 engine.runAndWait() camera.release() cv2.destroyAllWindows() generate()
2、实现步骤
2.1、获取百度ID和key
在百度API中可以申请到免费的API账号,每天有免费的几千次人脸识别,下图为我申请的API账号,然后在人脸库中创建需要识别的人脸就行了
2.2、创建客户端
APP_ID = '1965####' API_KEY = 'YXL65ekIloykyjrT4kzc####' SECRET_KEY = 'lFiapBoZ5eBwOFyxMbiwQDmClg1u####' client = AipFace(APP_ID, API_KEY, SECRET_KEY)
2.3、实现人脸识别
主要内容就是参数需要自己修改,然后获取视频图像,然后通过对比看一下,对比出来的名字,然后再看一下分数即可,我在里面加了一个电脑播报的,所以只要识别出来,电脑就会播报,延迟不超过以秒。
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