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OpenCV Python Tutorial For Beginners 34 - Circle Detection using OpenCV Hough Circle Transform
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- čas přidán 2. 09. 2019
- code - gist.github.com/pknowledge/9b...
In this video on OpenCV Python Tutorial For Beginners, we are going to see How we can do Circle Detection using OpenCV Hough Circle Transform. We are going to learn to use Hough Transform to find circles in an image and see these functions: cv.HoughCircles(). cv.HoughCircles() Finds circles in a grayscale image using the Hough transform.
By the end of the tutorial, you will be able to build a lane-detection algorithm fuelled entirely by Computer Vision.
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.org/4.1.1/da/d53/...
#ProgrammingKnowledge #ComputerVision #OpenCV
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Thanks !! It was extreme usefull for me.
Thankq Sir Love from India ( Assam)
Hi, I am continously watching your video. Thanks for providing such types of interesting and important video. Can you please upload a video about detection of leaf vein (main vein, the top part through which the leaf is attached to the tree). I will be very greatful to you. Thanks again.
Thank you!
no explanation provided for the parameters inside that houghcircles function..just reading out the documentation given on the opencv webpage. And yeah, what about the working of the Hough gradient method??
print(5>1)
thank you for this great video man! Is there a way to filter all other shapes and just keep the circles in the output image?
On what basis are the values of param1 and param2 decided?
Thank bro.....
Bless u brother
can we print shape as array that enclosed region using Python ?
thanks!, i was really lost with the parameters t-t
it says too many indicies error when i try a live video
is it possible to detect semi-circle? is yes, can you please suggest how I can do that
Can we detect centroid coordinate?
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.
why do we need median blur??
i am getting error in the line np.unit16
no explanation of the parameter , only reading the opencv documentation
sir its not working in jupyter notbook
Is there a way to do it for rectangles or squares too?
maybe the line method will detect those(not sure)
Is there a way to print the x,y coordinates of the centre dot?
use cv2.putText()
cv2.putText(img,str(x)+','+str(y),(position)...)
.
for (x, y, r) in detected_circles[0, :]:
print (x, y)
Take param2=32 and the weird circle in smarties.png vanishes
Please make a video on mnist!!
Thks very much but it really bad explaination!!!!
terrible video