Real time Shape Detection using Contours [9] | OpenCV Python Tutorials for Beginners 2020

In this video, we will learn how to detect the shapes of objects by finding their contours. Contours are basically outlines that bound the shape or form of an object. So we will be detecting multiple shapes and how many corners points each shape has along with its area.

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The stack image function can be found in Chapter 6.

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[sammydarden]

Heres some of the code that was totally 'linked in the description'
#im suffering
def stackImages(scale, imgArray):
rows = len(imgArray)
cols = len(imgArray[0])
rowsAvailable = isinstance(imgArray[0], list)
width =imgArray[0][0].shape[1]
height = imgArray[0][0].shape[0]
if rowsAvailable:
for x in range (0, rows):
for y in range(0, cols):
if imgArray[x][y].shape[:2] == imgArray[0][0].shape[:2]:
imgArray[x][y] = cv2.resize(imgArray[x][y], (0, 0), None, scale, scale)
else:
imgArray[x][y] = cv2.resize(imgArray[x][y], (imgArray[0][0].shape[1], imgArray[0][0].shape[0]), None, scale, scale)
if len(imgArray[x][y].shape) == 2: imgArray[x][y] = cv2.cvtColor(imgArray[x][y], cv2.COLOR_GRAY2BGR)
imageBlank = np.zeros((height, width, 3), np.uint8)
hor = [imageBlank]*rows
hor_con = [imageBlank] *rows
for x in range (0, rows):
hor[x] = np.hstack(imgArray[x])
ver = np.vstack(hor)
else:
for x in range(0, rows):
if imgArray[x].shape[:2] == imgArray[0].shape[:2]:
imgArray[x] = cv2.resize(imgArray[x], (0, 0), None, scale, scale)
else:
imgArray[x] = cv2.resize(imgArray[x], (imgArray[0].shape[1], imgArray[0]), None, scale, scale)
if len(imgArray[x].shape) ==2: imgArray[x] = cv2.cvtColor(imgArray[x], cv2.COLOR_GRAY2BGR)
hor = np.hstack(imgArray)
ver = hor
return ver

[SubaBlubba]

I appreciate the little adjustments before using the "main" feature detector more and more

[ajaynair]

Thank you so much for the clear explanation. I am currently working on a project, This will definitely help me.

[amandanamikata]

i love you you are awesome, the best videos on youtube for computer vision!

[serjkp]

Моє шанування! Прекрасні уроки, дякую!

[renanstn]

I can't thank you enough for this!
Incredible and very well explained tutorial

[qzorn]

A most interesting OpenCV video. I have a new Orange Pi-5 SBC and would like to do some OpenCV Python examples on it. The Raspberry Pi-4 has a wealth of examples to practice with first. This wonderful Tutorial Shape Detection lesson [9] will be very helpful. 😎 Thank you.

[ankitpandeynitdurgapur]

Thank you for explaining it in such an easy and simple way. A Must watch video for everyone. ❤️

[tomasaraujo]

Thank you my friend. It took an hour to translate from python to C++ but I made it

[walidhassan]

This Channel deserve more Subscribes than it has..!!

[siddharthmodi]

I am little confuse here? Is it calculating are of the bounding box around the object or area of the object itself?
I think it's calculating of bounding box?
Btw the tutorial is good ❤️💯

[pierrealmhanna]

Thank you so much
You help me to start with my final year project idea
I just need to know how can I crop each rectangle and show it as many photos

[arnezor]

Can you give me the link for this course, the link in description just redirects me to the new website of yours. I cant find this particular project there. Thanks

[amandanamikata]

omg you do it with no model lol awesome <3

[TehJellyLord]

What a great tutorial! You are really saving my grades right now! I've just gotta apply this to only the pip symbols on playing cards. Which of the links in the description leads to the imgStack function?

[jayantagrawal]

Anyone knows how to find out the coordinates of the shapes detected? Any help would be really appreciated. Also the tutorial's really really helpful. Thanks!

[sumanachakraborty]

Thanks for the informative video, can u help me once...how could i label the individual objects? Actually i want to calculate how many objects and their total area.

[UddhikaIshara]

Great tutorial Thank you very much, Unfortunately, The reference code is not available in the links. So i had to type all from the beginning.

[zakariaabderrahmanesadelao]

exactly what i was looking for thank you a million! subbed

[tarektabba]

I love your channel. Keep up the great projects!