Visualizing learned features from Haar cascade classifier
Using the opencv_traincascade application I have trained a cascade classifier on Haar features for car detection. The detector is working pretty good, but I am wondering what kind of rectangle features were selected using AdaBoost. In other words, I want to visualize the features in the same way Viola and Jones are doing in their paper for face detection (see image below). However I find the cascade.xml file not so trivial to interpreted, so I was wondering whether there is a way to visualize the 'learned' rectangular features?
hi Steven, i thought your book is released eagerly, wants to know about Haar cascade classifier in depth. i stopped here my project to visualize the learned features of my classifier. please share the link of code or please share your book details which you published. Thank you!