Detecting colors (Hsv Color Space) - Opencv with Python

preview_player
Показать описание
We’re going to see in this video how to detect colors through HSV Color space on Opencv with Python.

➤ Full Videocourses:

➤ Follow me on:

➤ For business inquiries:
Рекомендации по теме
Комментарии
Автор

You are such a saviour, thank you so much man. I wanted this so bad

dikshabagade
Автор

Great video tutorial, thanks for sharing!

NiVofHiR
Автор

Thanks bro . Amazing . Thank you so much

halilavc
Автор

Nice tutorial but a doubt how did you detect the values of lower_red, blue, green and upper_red, blue, green??

cybercribe
Автор

Nice tutorial! Is there a way to detect all chosen colors on one screen sweep instead of repeating the operation for each of them? I'm talking about the inRange() and bitwise_and() parts, I ask for performance purposes

mauriziovetere
Автор

cv2.createTrackbar for HSV is very useful for getting the ranges correct

NeilSummersgill
Автор

Thank you for this video, have you an idea how i can detect white cracks in a white surface, but the saturation of the surface and cracks are not similar.
thanks

mounahammouda
Автор

hi sergio, can i ask something, if i wanna actuate a servo motor, after the camera detected one particular color, what function should i use ?

samsepiol
Автор

Hi, may i know how to detect the object which has similar colour to the background? Thank you.

rajvindermann
Автор

can you do applications with some more advanced functions ? for example imutils related to thank you

aliihsancukur
Автор

Hi, what if I only want to detect only the white color, can you tell me what is the threshold or someway to calculate it? Thank you

johntran
Автор

Hey, can you please help me how to detect background color of an image?

lokeshsaha
Автор

great video thanks a lot but I've an issue here no matter what ranges of colours I pass as high and low I keep getting a black image as a result and I don't really get why can anyone help me understand why this is happening (I am trying to block all colours except for black) but again I wrote the same code with the same values to make sure that the problem isn't with my ranges but the same result always pops up a black image with rgb = 0, 0, 0 and as I said I don't get it

abdelrhmanshokr
Автор

Does somebody know how to make that in C++(Visual Studio)?

francescopistone
Автор

hello thank you for the video it's helpful.. i have a question? if we need to apply this with depth images how i can do this?

coursfiliereeln
Автор

I'm doing a similar project with OpenCV. Could you help me with that, sir????

raghuld
Автор

hi bro nice tutorial, i want to ask something, how if we want to add more color on it? lets say we want to add secondary color, like purple, maroon or something else? how is it?

kevinliem
Автор

If Color is detected the it show message like image is detected...How i print that message

ankor
Автор

Hello sir, why i can't run cV2.bitwise_and on my PC. Can you explain about it?

ramadhaniramadhani
Автор

Thanks for the video concepts, but here for me the jupyter notebook (where I use to develop these types of programs) gives an error after I finish the program, and to get around this it is good practice to destroy the images and data that will not be most used after the end of the program. After doing this, the error in my kernel stopped showing up. This destruction of data that will not be used after the end of the program can be done by the following lines at the end of the program and outside the loop and conditional:
cap.release()
cv2.destroyAllWindows()
PS: Hope this is helpful to someone.

brunorafaelalmeida