OpenCV 3 Computer Vision with Python Cookbook

How to do it...

You need to complete the following steps:

1. Import the modules:

import cv2import numpy as npimport matplotlib.pyplot as plt

2. Load the models:

age_model = cv2.dnn.readNetFromCaffe('../data/age_gender/age_net_deploy.prototxt',                                     '../data/age_gender/age_net.caffemodel')gender_model = cv2.dnn.readNetFromCaffe('../data/age_gender/gender_net_deploy.prototxt',                                        '../data/age_gender/gender_net.caffemodel')

3. Load and crop the source image:

orig_frame = cv2.imread('../data/face.jpeg')dx = (orig_frame.shape[1]-orig_frame.shape[0]) // 2orig_frame = orig_frame[:,dx:dx+orig_frame.shape[0]]

4. Visualize the image:

plt.figure(figsize=(6,6))plt.title('original')plt.axis('off')plt.imshow(orig_frame[:,:,[2,1,0]])plt.show()

5. Load the image with ...