CODEWITHSUNDEEP
pythonopencvcomputer-visionopencv3.0object-detection
Verych
Verych

Reputation: 441

OpenCV: How to get features with cv2.CascadeClassifier?

I know that haarcascade.xml describes some features of some object we want to detect. E.g. face has a nose, eyes and it is ellipse or auto-plates has a line of digits and letters with specific size and proportion.

If we use:

cascade = cv2.CascadeClassifier('haarcascade.xml')
objects = cascade.detectMultiScale(gray, 1.1, 3)

we will get a list of box parameters (x,y,w,h)

Is there any way to get all features parameters?

e.g. if haarcascade describes face I want to get nose coordinates (without using additional haarcascade) or if haarcascade describes auto-plates I want to get coordinates of each symbol.

Upvotes: 0

Views: 766

Answers (1)

L4CK4
L4CK4

Reputation: 21

Have a look at this paper Rapid Object Detection using a Boosted Cascade of Simple Features. It explains the implementation of the cascade. As you can see they use Haar Features, so you won't be able to extract that information. But there is a special cascade for detecting eyes. Maybe this helps you. You can find all other pretrained cascades here. If you want to extract the nose position you may need to train your own cascade or search for an .xml file for that.

Upvotes: 1

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