OpenCV 3.x with Python By Example - Second Edition

How did we build the trainer?

We use the scikit-learn package to build the SVM model and scipy for mathematical optimization tools. You can install it as follows:

    $ pip install scikit-learn scipy

We start with labeled data and feed it to the OneVsOneClassifier method. We have a classify method that classifies an input image and associates a label with it.

Let's give this a trial run, shall we? Make sure you have a folder called images, where you have the training images for the three classes. Create a folder called models, where the learning models will be stored. Run the following commands on your terminal to create the features and train the classifier:

    $ python create_features.py --samples bag images/bag/ --samples dress  images/dress/ ...