detectMultiScale Python syntax : Stumped

asked 2017-05-28 15:27:34 -0600

BigJinge gravatar image

Dear Hive Mind,

I've been been doing test haar cascades and have found the right values to give the results I need.

The problem is with syntax of detectMultiScale in Python for OpenCV 3.1. I need to put a minimum and maximum value for size and I'm not sure which order to put them in / flags to use.

My values are :

Scale factor = 1.05 Minimum neighbours = 3 Minimum size 48x48 Maximum size 120x120

I've seen an example that looks something like this :-

detectMultiScale(img, faces, 1.1, 3, CV_HAAR_FIND_BIGGEST_OBJECT, Size(30, 30), Size(200,200)) and regarding CV_HAAR_FIND_BIGGEST_OBJECT it says you may or may not require it.

So, can you throw some light on what is the correct detectMultiScale syntax I should use.

Many thanks

BigJinge

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Comments

minSize can be your trained model size, because it will not detect anything smaller than that unless you upscale the image. About maxSize, do you really need that much variation? Lowering will speed up the process. Give us some example images?

StevenPuttemans gravatar imageStevenPuttemans ( 2017-05-31 04:39:39 -0600 )edit
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