Color Detection in an Image

• OpenCV

Wrapper package for OpenCV python bindings.

pip install opencv-python

• Pandas

Powerful data structures for data analysis, time series, and statistics.

pip install pandas

• argparse

The argparse module makes it easy to write user friendly command line interfaces.

pip install argparse

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 256256256 = 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 colors.csv file includes 865 color names along with their respective RGB and hexadecimal values.

python color_detection.py -i <path of image file>

It clearly identifies the color of the selected area in the image.

• Successfully detects the color of the part of the image using computer vision.