（本系列随笔持续更新）

搭建要求

详细的搭建过程在 参考资料1 中已经有啦。

TensorFlow 1.6.0

OpenCV 2.4.8 仅仅是加载和读取图片的需要

Ubuntu 14.04 64bits

 

代码：加载图片，找出人脸。运行依赖detect_face.py

import cv2import detect_faceimport matplotlib.pyplot as pltimport mathfrom scipy import miscimg = misc.imread('face_airplane.jpg')sess = tf.Session()pnet, rnet, onet = detect_face.create_mtcnn(sess, None)minsize = 20threshold = [0.6, 0.7, 0.7]factor = 0.709df_result, _ = detect_face.detect_face(img, minsize, pnet, rnet, onet, threshold, factor)n_face = df_result.shape[0]print('detected face number: {}'.format(n_face))print(df_result)fig = plt.figure('faces')i = 0plt_nrow = n_face/5plt_nrow = plt_nrow + int(n_face != plt_nrow*5)plt_ncol = 5crop_face = []for subfaceRec in df_result:  i = i+1    #ax = fig.subplot(plt_nrow, plt_ncol, i)  subfaceRec = subfaceRec.astype(int)  img_a_face = img[subfaceRec[1]:subfaceRec[3], subfaceRec[0]:subfaceRec[2]]  crop_face.append(img_a_face)  img_a_face = cv2.resize(img_a_face, (96, 96), interpolation = cv2.INTER_CUBIC)  #plt.imshow(img_a_face)  print('plt_nrow:{}, plt_ncol:{}, i:{}'.format(plt_nrow, plt_ncol, i))  plt.subplot(plt_nrow, plt_ncol, i)  plt.imshow(img_a_face)    cv2.rectangle(img, (subfaceRec[0], subfaceRec[1]), (subfaceRec[2], subfaceRec[3]), (0,255,0), 2)  plt.figure('img')plt.imshow(img)plt.show()sess.close()

　　

显示效果：

　

参考资料：

1 https://blog.csdn.net/mr_evanchen/article/details/77650883

2 https://github.com/ShyBigBoy/face-detection-mtcnn