test-object-detector
will download the UIUC Image Database for Car Detection and train a classifier to detect cars in an image. The SVM model files will be stored in data/models
, so that they can be resused later on.data/config/config.cfg
configuration files. You can change it as per your need. Here is what the default configuration file looks like (which I have set for Car Detector)-extract-features.py
-- This module is used to extract HOG features of the training images.train-classifier.py
-- This module is used to train the classifier.nms.py
-- This module performs Non Maxima Suppression.test-classifier.py
-- This module is used to test the classifier using a test image.config.py
-- Imports the configuration variables from config.cfg
.numpy
vectorized codes.