1.python3或python2环境。 2.安装百度包 pip install baidu-aip python2 环境下：
# -*- coding: utf-8 -*- # -- coding: UTF-8 -- # coding = UTF-8 # -*- coding: utf-8 -*- import base64 import matplotlib.pyplot as plt import cv2 import pandas as pd from PIL import Image from io import BytesIO from PIL import Image, ImageDraw, ImageFont import numpy as np from aip import AipFace import time import dlib import threading 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 base64_data = base64.b64encode(byte_data) # 转为BASE64 return base64_data # 转码成功 返回base64编码 def face_detection(face_data,im): for i in face_data['result']['face_list']: left = max(int(i['location']['left']),0) top = max(int(i['location']['top']),0) width = int(i['location']['width']) height = int(i['location']['height']) gender = str(i['gender']['type']) age = str(i['age']) cv2.rectangle(im, (left, top), (left+width , top+height),(0,0,255),2) cv2.putText(im,gender+age, (left+10, top+10), cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 255, 0), 1, cv2.LINE_AA) return im video_capture = cv2.VideoCapture(0) while True : ret, frame = video_capture.read() frame = cv2.flip(frame, 1) if cv2.waitKey(1) == ord('Q'): break APP_ID = 'test1' API_KEY = '9OWZWm5tMrecGxYm4hSNbtYL' SECRET_KEY = 'Y7Qw0dWX4u1B0WM76tiTrnM4tv17pvMQ' imageType = 'BASE64' client = AipFace(APP_ID, API_KEY, SECRET_KEY) resized_image = cv2.resize(frame, (0, 0), fx=1, fy=1) base64_2 = frame2base64(resized_image) base64_2 = str(base64_2) options = {} options["max_face_num"] = 10 options["face_type"] = "LIVE" options["liveness_control"] = "NORMAL" options["face_field"] = "age,gender,beauty," face_data = client.detect(base64_2, imageType, options) print face_data if face_data['error_msg'] == 'SUCCESS': frame = face_detection(face_data, resized_image) cv2.imshow('fda', frame)