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Hello, and thanks in advance for taking the time to read my first post on the forum. I started playing around with Node openCv two weeks ago and started to build a book recognition script. So far I came to the conclusion that I need to train my own classifier to reach high success rate on image recognition and I'm now sticking to this tutorial to achieve it: http://coding-robin.de/2013/07/22/train-your-own-opencv-haar-classifier.html

My only question so far is that, considering the following image:

http://bit.ly/2gON4iV

how shall I process to train the haar classifier? Inputing the whole image or obstructing every book but one so the classifier can 'learn' what a single book is? Most generally, is there a way to train the classifier how to detect multiple models(occurences of the same king of object) on a single image or shall I process object by object (book by book).

Thanks in advance for your answers, have a beautiful day.

Hello, and thanks in advance for taking the time to read my first post on the forum. I started playing around with Node openCv two weeks ago and started to build a book recognition script. So far I came to the conclusion that I need to train my own classifier to reach high success rate on image recognition and I'm now sticking to this tutorial to achieve it: http://coding-robin.de/2013/07/22/train-your-own-opencv-haar-classifier.html

My only question so far is that, considering the following image:

http://bit.ly/2gON4iV

how shall I process to train the haar classifier? Inputing the whole image or obstructing every book but one so the classifier can 'learn' what a single book is? Most generally, is there a way to train the classifier how to detect multiple models(occurences of the same king of object) on a single image or shall I process object by object (book by book).

Thanks in advance for your answers, have a beautiful day.