OpenCV Python Tutorial For Beginners 23 - Find and Draw Contours with OpenCV in Python

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In this video on OpenCV Python Tutorial For Beginners, I am going to show How to Find contours and draw contours using OpenCV in Python.
The function retrieves contours from the binary image. The contours are a useful tool for shape analysis and object detection and recognition.

OpenCV is an image processing library created by Intel and later supported by Willow Garage and now maintained by Itseez. opencv is available on Mac, Windows, Linux. Works in C, C++, and Python.
it is Open Source and free. opencv is easy to use and install.

Starting with an overview of what the course will be covering, we move on to discussing morphological operations and practically learn how they work on images. We will then learn contrast enhancement using equalization and contrast limiting. Finally we will learn 3 methods to subtract the background from the video and implement them using OpenCV.

At the end of this course, you will have a firm grasp of Computer Vision techniques using OpenCV libraries. This course will be your gateway to the world of data science.

Feel the real power of Python and programming! The course offers you a unique approach of learning how to code by solving real world problems.

#ProgrammingKnowledge #ComputerVision #OpenCV
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DISCLAIMER: This video and description contains affiliate links, which means that if you click on one of the product links, I’ll receive a small commission. This help support the channel and allows us to continue to make videos like this. Thank you for the support!
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I am from Brazil and the subtitles on your videos helps a lot to understand what you are saying

joao-tinti
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Amazing video, concise and to the point.

asjadkhan
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Great content mean opencv is really a powerful library of python It makes image recognition soo simple

Iknowpython
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Hi, thanks for video. The thresh value should be 200 because of getting green object contour and number of contours will be 10.

davudsuleymanov
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Hi, thanks for the videos, really useful. However total number of conturs is 10 (the thresh val has to be higher than 127, eg 150, otherwise the green object is made as a background)

maciejwozniak
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Nice. I want to be a programmer like you. I'm from India and I'm 16.

ItsAdrish
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Who can help me / point me in the right direction (yes, I already used Google).

loektenbosch
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any way to find center coordinates of a circle?

KKMaity
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Please how can I make it 4 channels after adding edges? Assuming I did not make my image Gray

anefuoche
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Hi, can we rename the contours, hierarchy into contours1, hierarchy?

jinchengau
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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.

jeepjr
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why is threshold value required for finding Contour

rohannayak
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Thank you for video, but i have error in imgrey line

_ishraqaldagamseh
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Sir can you please explain why green circle is not bound with boundary, I use different color for that but answer is same

rohitdoyal
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Thanks for your important video SIr. But why the Green object is not rounded by lines? please have a look,

md.imrulhasan
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Zorry, this how is possible, if the number of contours really is 12? by the contour into the words, your conut is 9, I made the same example and my result was 12. Thank you

julianmartinez
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Awesome video 👏 this video is really helpful for us but I have a question how we can detect a particular word from text?

nayakal
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Is it possible that the number of contours can be different for the same image?
have downloaded 3 OpenCV logo images and am getting different number of contours on each image 5, 12, 7 respectively

Kennerdoll
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Hi all,

if anyone is getting error while calling the contour method and using HSV colorspace for matplotlib then remove the HSV color space. This method doesn't work with hsv color space

abdultaufiq
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Why the opencv logo background is black?
The texts written are also not visible.

harsh_dn