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from scipy import miscimport tensorflow as tfimport align.detect_faceimport cv2import matplotlib.pyplot as pltminsize = 20 # minimum size of facethreshold = [0.6, 0.7, 0.7] # three steps's ...

import cv2import tensorflow as tfimport align.detect_facedef test(): video = cv2.VideoCapture(1) print('Creating networks and loading parameters') with tf.Graph().as_default(): ...

import jsonimport urllibimport cv2import base64from baidu_face_detect.token import GetTokendef img_detect_data(filepath): with open(filepath, 'rb') as fp: pic1 = base64.b64encode(f...

import jsonimport urllibimport base64from baidu_face_detect.token11 import GetToken#转换图片 读取文件内容 转换为base64编码#二进制打开图片def img_compare_data(fp1,fp2): f = open(fp1,'rb') pic1 = base64.b64...

import face_recognitiondef detect_faces_in_image(file_stream1, file_stream2): code1 = face_recognition.face_encodings(face_recognition.load_image_file(file_stream1))[0] code2 = face_recognit...

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