OpenCV Python Tutorial For Beginners 37 - Detect Corners with Harris Corner Detector in OpenCV
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- Опубликовано: 6 фев 2025
- code - gist.github.co...
In this video on OpenCV Python Tutorial For Beginners, we are going to see How to Detect Corners with Harris Corner Detector in OpenCV. Corner detection with Harris Corner Detection method using OpenCV and python is very easy.
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.
resources:
docs.opencv.or...
#ProgrammingKnowledge #ComputerVision #OpenCV
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what a great video thanks so much
Good one...
man you always come through for us students. thank you for the simplest and clearest explanation
Nice
Hi. Can I use this for trying to get a chessboard? Or there is something better? Thanks
Can anyone explain me the part "img[dst >0.01*dst.max()] please ?
it's the threshold part of Harris Corner Detection Algorithm. If the pixel value in our result from the method cornerHarris() is greater than 0.01 * max pixel value in result matrix, this is the interested point of the corner
Thank you : )
thanks bro.......
Please clarify
consider the same checkerboard image...................I have grey image size = (630,630).
I want to draw a circle on each black boxes.
if I resize the image further to size 200X200. that predefined circle becomes big.
how should I fit the circle even after the image is resized?
please help me???
Me 1st viewer
k, how to get the co ordinates of these detected corners?
Only few blocks out of 64 is being shown in enlarged way.
Any help?
Thank you, but there is something that I don't understand very well, in one exercise I am asked to estimate the covariance matrix using block sizes between 2 and 5, what parameters should I change?
pro trick: you can watch movies at Flixzone. I've been using it for watching a lot of movies during the lockdown.
@Louis Casen yea, I've been using Flixzone for since november myself :)
Appreciate your effort making this video, but you're just basically reading off of the tutorial on opencv.readthedocs. It'd be nice if you explain more, like the what does each expression represent and why
Thar's true. He would explain each and every point in detail in the first 20-25 videos, but after that he is just reading off the code.