Python OpenCV Circle Detection With HoughCircles

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In this Python OpenCV article iam going to talk about Circle Detection With HoughCircles.
OpenCV also has a function for detecting circles, called HoughCircles. It works in a very
similar fashion to HoughLines, but where minLineLength and maxLineGap were the
parameters to discard or retain lines, HoughCircles has a minimum distance between
circles centers, minimum, and maximum radius of the circles. Here’s the obligatory.

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[mithunchandrasaha]

Very Nice Explanation, Sir.Needs More Tutorial from You.

[jeepjr]

Teacher, first congratulations for the channel. I need your help, I have a simple image with a range of 5 placements where the quantity is identified, how do I identify the biggest color type red and say where the X, Y is, and if you can help me, and only for create an alert.

[victorduarte]

Thank you for the explanation!!! I tried with a image with 12 circles and it worked very well. However when I tried with a different image didn't works. My new image has around 1830 circles and the mean radius is around 7.1. Do you know what's could be?

[ugurkaraaslan]

What is the purpose of param1 and param2? Thanks in advance.

[manifestasisanubari]

Now I understand why it doesn't really work in real-time camera display. It is supposed to work well in a static image like in this example. 🤣

[metehanakca]

Can you show, how its work on Camera datas