![]() We will need it when creating our application part. This function is used to define our double click process. This is where the magic happens! def recognize_color(R,G,B): minimum = 10000 for i in range(len(csv)): d = abs(R- int(csv.loc)) + abs(G- int(csv.loc))+ abs(B- int(csv.loc)) if(d<=minimum): minimum = d cname = csv.loc return cname Mouse Click Function It will return the color name and the RGB values of that color. This function will be called when we double click on an area of the image. clicked = False r = g = b = xpos = ypos = 0 Color Recognition Function You will know how global variables can be helpful when working with functions. ![]() To make the application work smoothly, we need some global variables. In the following steps, we will define two functions. index= csv = pd.read_csv('colors.csv', names=index, header=None) Global Variables This process is known as data manipulation. Since the csv file we downloaded doesn’t have column names, I will be defining them in the program. Let’s import colors.csv file to our program using read_csv method. In previous posts, I showed how to detect faces and also how to recognize faces in an image, these are great projects to practice python in artificial intelligence and computer vision. This goes the same for the machines, they see the outside world using images, and those images are turned into data values that computers can understand. As we are growing and exploring, seeing the outside world has a big impact on our development. Most of the machine learning and artificial intelligence fields are strongly connected to Computer Vision. If you haven’t heard of Computer Vision before, this is the best time to learn about it. Building a color recognizer is a great project to get started with Computer Vision. Many graphic designers and web designers will understand how RGB values can be helpful. ![]() The program will also return as the RGB values of the colors, which is really helpful. We will create a basic application that will help us to detect the colors in an image. This process is also known as “Color Detection”. In this post, I will show you how to build your own color recognizer using Python.
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