Color Detection Using Python With Source Code 2021 | Python Projects with Source Code

Color Detection Using Python With Source Code 2021 | Python Projects with Source Code Subscribe here for More Source code & tutorials: https://bit.ly/2YdWUxU​​​​​​​​​​​​​​​ LIKE our FB PAGE: https://www.facebook.com/itsourcecode Official Website: https://itsourcecode.com/​​​​​​​​​​​​​​​ Download the complete source code here: https://bit.ly/2QtXkz7 Increase ad revenue 50-250% with Ezoic - https://bit.ly/2OIIPpD Song: Ikson - Anywhere (No Copyright Music Vlog Library) Music promoted by No Copyright Music Vlog Library. Intro made by Prince Ly Cesar The Color Detection Using Python was developed in python programming, In this Color Detection Using Opencv Python Project will be exciting and fun to build. We will be working with colors and you will get to learn about many concepts throughout this project. A Color Detection In Opencv Python, Colour detection is necessary to recognize objects, it is also used as a tool in various image editing and drawing apps. Color Detection Using Python Opencv is the process of detecting the name of any color. Simple isn’t it? Well, for humans this is an extremely easy task but for computers, it is not straightforward. The Human eyes and brains work together to translate light into color. Light receptors that are present in our eyes transmit the signal to the brain. Our brain then recognizes the color. Since childhood, we have mapped certain lights with their color names. We will be using the somewhat same strategy in Image Color Detection Using Python. 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. Then we will calculate the distance from each color and find the shortest one. In this Color Detection Python Code also includes a downloadable Color Detection Using Python With Source Code for free, just find the downloadable source code below and click to start downloading. By the way if you are new to python programming and you don’t know what would be the the Python IDE to use, I have here a list of Best Python IDE for Windows, Linux, Mac OS that will suit for you. I also have here How to Download and Install Latest Version of Python on Windows. To start creating a Color Detection Using Python, make sure that you have installed Python in your computer. Color Detection Using Python : Data Set Colors are made up of 3 primary colors; red, green, and blue. In computers, we define each color value within a range of 0 to 255. So in how many ways we can define a color? The answer is 256*256*256 = 16,581,375. There are approximately 16.5 million different ways to represent a color. In our dataset, we need to map each color’s values with their corresponding names. But don’t worry, we don’t need to map all the values. We will be using a dataset that contains RGB values with their corresponding names. The CSV file for our dataset has been taken from this link: Color Detection Using Python : Prerequisites Before starting with this Color Detection Using Python, you should be familiar with the computer vision library of Python that is OpenCV and Pandas. OpenCV, Pandas, and numpy are the Python packages that are necessary for this project in Python. To install them, simply run this pip command in your terminal: pip install opencv-python numpy pandas Colour detection is the process of detecting the name of any color. Simple isn’t it? Well, for humans this is an extremely easy task but for computers, it is not straightforward. Human eyes and brains work together to translate light into color. Light receptors that are present in our eyes transmit the signal to the brain. Our brain then recognizes the color. Since childhood, we have mapped certain lights with their color names. We will be using the somewhat same strategy to detect color names. If you have any questions or suggestions about Color Detection Using Python With Source Code, please feel free to leave a comment below.