OpenCV 4 with Python Blueprints - Second Edition

Putting it all together

To run our app, we will need to execute the main function routine (in chapter6.py). This loads the data, trains the classifier, evaluates its performance, and visualizes the result:

1. First, we need to import all the relevant modules and set up the main function, as follows:

import cv2import numpy as npimport matplotlib.pyplot as pltfrom data.gtsrb import load_training_datafrom data.gtsrb import load_test_datafrom data.process import grayscale_featurize, hog_featurize

2. Then, the goal is to compare classification performance across feature extraction methods. This includes running the task using a list of different feature extraction approaches. So, we first load the data, and repeat the process for each of the featurizing ...