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In the function, we check if the event is double-clicked then we calculate and set the r,g,b values along with x,y positions of the mouse. The function parameters have the event name, (x,y) coordinates of the mouse position, etc. It will calculate the rgb values of the pixel which we double click. With these lines, we named our window as ‘image’ and set a callback function which will call the draw_function() whenever a mouse event occurs.Ĭheck out 270+ Python Tutorials & brush up your basics 5. cv2.namedWindow('image')Ĭv2.setMouseCallback('image',draw_function) Then, we set a callback function which will be called when a mouse event happens. Set a mouse callback event on a windowįirst, we created a window in which the input image will display. Index=Ĭsv = pd.read_csv('colors.csv', names=index, header=None) 4. #Reading csv file with pandas and giving names to each column We have assigned each column with a name for easy accessing. pd.read_csv() reads the CSV file and loads it into the pandas DataFrame. The pandas library is very useful when we need to perform various operations on data files like CSV. We can directly give an image path from the command prompt: import argparseĪp.add_argument('-i', '-image', required=True, help='Image Path') We are using argparse library to create an argument parser. Colors.csv – a file that contains our dataset.Colorpic.jpg – sample image for experimenting.

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Color_detection.py – main source code of our project.Here are the steps to build an application in Python that can detect colors: 1.

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To install them, simply run this pip command in your terminal: pip install opencv-python numpy pandas Steps for Building a Project in Python – Color Detection OpenCV, Pandas, and numpy are the Python packages that are necessary for this project in Python. Prerequisitesīefore starting with this Python project with source code, you should be familiar with the computer vision library of Python that is OpenCV and Pandas. The colors.csv file includes 865 color names along with their RGB and hex values. The CSV file for our dataset has been taken from this link: We will be using a dataset that contains RGB values with their corresponding names. But don’t worry, we don’t need to map all the values. In our dataset, we need to map each color’s values with their corresponding names. There are approximately 16.5 million different ways to represent a color. So in how many ways we can define a color? The answer is 256*256*256 = 16,581,375. In computers, we define each color value within a range of 0 to 255. The DatasetĬolors are made up of 3 primary colors red, green, and blue. Then we will calculate the distance from each color and find the shortest one. In this color detection Python project, we are going to build an application through which you can automatically get the name of the color by clicking on them. So for this, we will have a data file that contains the color name and its values. Join DataFlair on Telegram!! About the Python Project Stay updated with latest technology trends We will be using the somewhat same strategy to detect color names. Since childhood, we have mapped certain lights with their color names.

Light receptors that are present in our eyes transmit the signal to the brain. Human eyes and brains work together to translate light into color. Simple isn’t it? Well, for humans this is an extremely easy task but for computers, it is not straightforward.

Traffic Signs Recognition Python ProjectĬolour detection is the process of detecting the name of any color.

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Driver Drowsiness Detection Python Project.Handwritten Digit Recognition Python Project.Age and Gender Detection Python Project.Breast Cancer Classification Python Project.Speech Emotion Recognition Python Project.Parkinson’s Disease Detection Python Project.I suggest you to bookmark the previous projects:

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This is the 10th project in the DataFlair’s series of 20 Python projects. Colour detection is necessary to recognize objects, it is also used as a tool in various image editing and drawing apps. We will be working with colors and you will get to learn about many concepts throughout this project. Today’s project will be exciting and fun to build.

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