Thank you for the video, Sergio! I'd love to see a more advanced version using neural networks.

I managed to achieve what I wanted through "PIL" and "colorsys", but this helped me a lot, because previously I was checking RGB, but this video taught me about the Hue concept, which fits very well with my project. I optimized the hell out of it, previously it recognized 1 shade of 5 different colors and if it was 1 off it would break, now it recognizes a whole spectrum of those same 5 colors and works endlessly. Thanks.

I'm just starting with ML and have to do an image recognition project - this tutorial is awesome to start, thank you

thanks man for this video. i haven't no skill in opencv and detection of image but i have been able to do the things that you've done in the video. you explain very well bro

Very good sir! Thanks, you are helping me alot in my automation engineering.

Excellent session! Advance color recognition video would be great.

Thank you! You are an excellent teacher

Hey! For some reason gimp and opencv are giving me totally different RGB and HSV value for the same pixel. How do I fix that?

What if i wanted to detect different value of red from its lightest color to darkest? should i change it to value = value and about the range of color should itype the range or just "

Thank you for the video, please is it possible to retrieve the major color in a set of pixels (in a rectangle for example) ? I need it to identify the colors after the detection of objects using yolo v3 and oepncv.

Sir, I love your job, keep up the good work

thanks for your video, that's so good.

hi, thank you for your tutorial 1. i would like to apply it to compare 2 color in real life to find if the HSV value is the same or not (consider the lumens of the area is the same). 2. how can i make the pointer moveable by using mouse?

Awesome video for beginners:)

How can consider both saturation n brightness with hue in the same code can u help me out plzz

Very good video... Thank you very much...

Perfection !

Sir, I need your help to develop a code for detecting color of a painted car body and then comparing it with pre defined RGB values, so that the system can say that this is that particular color (for eg after detecting it should say 'this is tellurian blue'. I'm not a computer science engineer, I'm mechanical. But I need this for my final year project

Very good! Ty

Hello, I'm trying to create a program that detects and counts objects by color, but now I can only count four colors, these are red, blue, green and yellow. I wonder if I can add the whole color scale to the program, how can I do this? I will be very happy if you give back. have a nice day

Thank you sir, I was looking for it ❤️

how can I detect color in a Particular area of the frame?

Thanks a lot sir. could you please explain more about selecting some common colors not just only with Hue but also with saturation and value like for example : How to we define for white color or black (cannot identify with Hue, got to change the saturation too)

Help me : if hue_value < 5: color = "RED" elif hue_value < 22: color = "ORANE" other: color = "" How to mix with saturation and value? I want to get a brown color but the value is

error: (-27:Null pointer) NULL window: 'frame' in function 'cvGetTrackbarPos' how to solve this type of error while creating the trackbar....could you please explain?

how do I find to white color ?

Thank you very very much

thank you!

Thank you 😀😀😀🎉🎉

You r damn good man... Just awesome 🖤

How to add saturation and value with hue???

thank you teacher

thanks sir!!!!!

How to add button for start and stop

Please explain the change process of HUe_value during program debugging. It is very urgent😉

thanks!

what if i want to use saturation???

Why i dont recive confirm email on blog ?

A more advanced version to detect all of the colors in an image or region of an image would be much appreciated.

where you upload picture which one you use in this program??????

cv2.error: OpenCV(4.5.5) D:\a\opencv-python\opencv-python\opencv\modules\imgproc\src\color.cpp:182: error: (-215:Assertion failed) !_src.empty() in function 'cv::cvtColor', HOW TO FIX?

Please share for black and white color too

Error cap value is not defined

I'm getting this error (-215 : Assertion failed) ! _src. empty() in function 'cv::cvtColor'

what the aplication that u use to run your program?

Hey Can I use vscode instead of pycharm ??

How would you determine white/gray/black objects?

Great video! Tho when I tried to run the programm I got this error: [ERROR:0@0.114] global obsensor_uvc_stream_channel.cpp:156 cv::obsensor::getStreamChannelGroup Camera index out of range Traceback (most recent call last): File "c:\Users\maris\Desktop\simple color recognition\color_recognition.py", line 11, in hsv_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ cv2.error: OpenCV(4.7.0) D:\a\opencv-python\opencv-python\opencv\modules\imgproc\src\color.cpp:182: error: (-215:Assertion failed) !_src.empty() in function 'cv::cvtColor' Can anyone help, please?

line 10, in hsv_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV) how to fixed

Since OpenCV converts the image to a numpy array anyways, making the image (frame(s)) searchable. Searching Numbers inside numbers.. Searching for an array within an array. Searching for a dataset.. set of pixels normally associated with objects of oranges in a FHD 1920 x 1080 image. My_X = 0 My_Y = 0 Red_Channel = 2 Green_Channel = 1 Blue_Channel = 0 Pixel_Hunter_Pixels_found_reds = 0 Pixel_Hunt3r_Pixels_found_greens = 0 main_counter_variable = 0 while main_counter_variable < 2073600: if My_X > 1920: My_X = 0 My_Y += 1 if Target_Image_A[My_Y][My_X][Green_Channel ] > 100 and Target_Image_A[My_Y][My_X][Red_Channel] > 154: # REDs AND GREENs : Colors associated with pictures of Oranges. Pixel_Hunt3r_Pixels_found_reds +=1 Pixel_Hunt3r_Pixels_found_greens +=1 print("Pixels in the range of what Oranges look like in this 1920 x 1080 image were found.. Their locations are.. X:" + str(My_X) + ", Y:" + str(My_Y)") My_X +=1 main_counter_variable +=1 print("We found a total of " + str(Pixel_Hunt3r_Pixels_found_reds) + " Red pixels and " + str(Pixel_Hunt3r_Pixels_found_greens) + "Greens associate with Orange looking objects in images") print("The type of data were dealing with here for Target_Image_A is of " + str(type(Target_Image_A))) cv2.imshow("Target Image A", Target_Image_A) cv2.waitKey(0) I only know this stuff because of great teachers like #PySource. Thanks #Pysource. I know what I know today because of great teachers like you buddy. If can search arrays.. we can find objects inside images.. It's a sequence of numbers associated with the colors of the objects we want to find in the images which are 3-D numpy arrays