OpenCV Python Tutorial For Beginners 20 - Canny Edge Detection in OpenCV

In this video on OpenCV Python Tutorial For Beginners, I am going to show How to use Canny Edge Detection in OpenCV. OpenCV provides method called Canny for Canny edge detector.
The Canny edge detection algorithm is broken down to 5 steps:
Noise reduction;
Gradient calculation;
Non-maximum suppression;
Double threshold;
Edge Tracking by Hysteresis.
Gist of code I used in this video (OpenCV Blur Python Tutorial ) - gist.github.co...
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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[@PraveenKumar-qm2jn]

if Beginner will learn this much in OpenCV (as course title is), then what a Professional should know!

[@Mr.PM1993]

how to enhance and optimize not all the edges are required and important so How to filter them out in further more using it in machine learning

[@baraa3922]

English

[@letslearnjava1753]

Praveen Kumar , a professional should know , how to use this in different usecases , like for example , here is one video which explains the application of edge detection-- kzbin.info/www/bejne/mYXSeGtpgrGep9k Hope this will be helpful 😊✌🏻

[@robinlow6493]

Dear Sir, I am a Software Engineering student, may I know what is meant by the 100 and 200 for the cv2.canny(img,100,200)?

[@ajinkyarathod5180]

3:02 Thanks. I did not know that *Hysteresis* was used at this stage.

[@chudchadanstud]

Hi can you link the rest of the playlist in your description. It's hard to find the rest of the series

[@darshitgajera7554]

Hey, Can I use trackbars with the matplot library? I am not able to find any documents. Any help?

[@kobciaqoontaada7826]

Well done and keep going bro!

[@mostafael-sayed4244]

i want to create roberry detection system and I want to know the best algorithm to use ?

[@souviksamanta8861]

While using the Trackbar for 2 Kernel values, I saw that the Kernel Values have no limits, I can take even a value of 1000 where the image shape is only (342, 548). why is it so??

[@KaranChecker]

Can we do a bitwise or on the Canny Edge output and the Sobel combined output?

[@harissahmanovic2826]

How can i apply this to a whole directory full of images so i can run this program and have a bunch of images with the canny edge applied to it.

[@meylaul5007]

Do you know how to list all files in their specific directories and for every file show the cumulative byte size of the project? This might be a good start. 0. First and foremost, wrap, what he does here into a def, that has the name "image_to_canny" like so: "def image_to_canny(img):". Note, that your your def-function takes an argument "img", which you will know later, what it is. Of course you have to indent everything, what is in this video line by line once, because now your "def image_to_canny()" is on the outer-most scope of your program. You need this function, to later call it with "image_to_canny()" for every file you get. SECTION FINISHED--- 1.NOW, no indentation, you need to "import os" . 2. You need your target directory as variable to indicate that you want to only loop through the directory where your image files are in (as an absolute path string or "."/"..") like so: " path_variable = '' ". You need a for-loop that uses the "os.walk()"-method to loop through your project like so: "for path, dir, image_files in os.walk(path_variable):". 4. Then you implement inside this loop another loop, which loops through all of your image files like so: "for image_file in image_files:". 5. Next you actually need to open your image_file in either read mode or directly in write mode, if you have a copy of the original images somewhere stored (always back up your original data!). You do this like so: "with open(image_file, 'w') as img: ". 6. Now you've come to a point where you can actually work on those image files in your directory and in this nested for-loop you now call your function you implemented earlier like so "image_to_canny()". Now it should loop through your directory until the last element. Use the ".write()" method to write the new stuff to your image files. After that close your file!!! This is important because you don't want to have 50 images or so lurking in your memory, until the last image has been written to/changed. So within the loop, after write, close every file with "img.close()". SECTION END--- Further tips: Note, that in 6:12 you don't need to define an "img =..." variable, because you already pass it as an argument in your def-function. Another approach: Instead of calling an outside function, you could just paste the code of the video (without line 5 of course) INDENTED under your for-loop "for image_file in image_files:" and under the opening of the files in either read/write mode "with open(image_file, 'w') as img: " and then perform all the actions in the video. The most important part for you is to know, how you can loop through the elements of a directory and what variables you need, for it to work. Hope this helps. (Service like on StackOverflow xD). And the rest: GOOGLE IT!

[@killshotz6747]

Man your vids are awsome

[@mustafael-shinhab8246]

Image data of dtype object cannot be converted to float , I get that error when I run it, how to fix it?

[@kamaljeetsahoo4752]

Great great video.....

[@rishabhkothari7901]

Can someone share their trackbar code for this? For me its opening a trackbar window , but soon goes not responding and happen to close. Thank you ! in advance

[@sanketsaboo6567]

yes

[@americanclassic889]

Here's what I used: note- I didn't use the matplotlib window like in this video, so I'm not sure if there's a way to add the trackbar to a matplotlib window. img = cv2.imread('messi5.jpg', 0) cv2.namedWindow('Canny', cv2.WINDOW_AUTOSIZE) cv2.createTrackbar('Threshold 1', 'Canny', 0, 200, nothing) cv2.createTrackbar('Threshold 2', 'Canny', 0, 200, nothing) while True: k = cv2.waitKey(1) & 0xFF if k == 27: break th1 = cv2.getTrackbarPos('Threshold 1', 'Canny') th2 = cv2.getTrackbarPos('Threshold 2', 'Canny') canny = cv2.Canny(img, th1, th2) cv2.imshow('Canny', canny) cv2.destroyAllWindows()

[@delphinechatelain649]

great video

[@eveohagan1230]

is there a way to get a canny value output?

[@kaveeshamadhubhashana3094]

can i use this with infrared images

[@rahulmarathe1232]

hey i want to detect only right hand off messy in an image and want to print that in output.How could i? Anyone please help me.

[@shashanksharmadon4295]

thanks bro........

[@krishnatejanalluri5073]

Which software is this

[@krishnatejanalluri5073]

@Grant Fox okk

[@tanishakhandelwal5174]

Why image is converted to RGB format

[@rustamtemirov3156]

coz matplotlib doesnt support bgr type images

[@motivationpowerofgolas1634]

Sir me its coding should

[@raviprakash9338]

Hi , I am Facing an Error executing canny edge detection file..Below is the Error, not sure what is wrong pls help If i am running without this 2nd file, it is showing blank Images.. --------------------------------------------------------------------------- TypeError Traceback (most recent call last) in () 1 for i in range(2) : ----> 2 plt.subplot(1, 2, i+1), plt.imshow(images[i], 'gray') 3 plt.title(titles[i]) 4 plt.xticks([]),plt.yticks([]) 5 plt.show() 5 frames /usr/local/lib/python3.6/dist-packages/matplotlib/image.py in set_data(self, A) 692 not np.can_cast(self._A.dtype, float, "same_kind")): 693 raise TypeError("Image data of dtype {} cannot be converted to " --> 694 "float".format(self._A.dtype)) 695 696 if not (self._A.ndim == 2 TypeError: Image data of dtype object cannot be converted to float

[@raviprakash9338]

Anyone pls help

[@hardishah3188]

it says cv2 module not found

[@Hello_am_Mr_Jello]

Then install it from cmd

[@hardishah3188]

@@Hello_am_Mr_Jello unable to install a specified version of opencv 4.2

[@kunjchoksi]

Has anyone integrated Trackbar with MatplotLib? I need a reference to implement this with trackbars. Thanks

[@GS-oj1zk]

John F kenedy