Watermarking images with OpenCV and Python

Convert BGR and RGB with Python – OpenCV

Last Updated : 03 Jan, 2023

Prerequisites: OpenCV

OpenCV is a huge open-source library for computer vision, machine learning, and image processing. OpenCV supports a wide variety of programming languages like Python, C++, Java, etc. It can process images and videos to identify objects, faces, or even the handwriting of a human. In this article, we will convert a BGR image to RGB with python and OpenCV.

OpenCV uses BGR image format. So, when we read an image using cv2.imread() it interprets in BGR format by default.

We can use cvtColor() method to convert a BGR image to RGB and vice-versa.

Syntax: cv2.cvtColor(code)

Parameter:

cv2.COLOR_BGR2RGB – BGR image is converted to RGB.

cv2.COLOR_RGB2BGR – RGB image is converted to BGR.

Converting a BGR image to RGB and vice versa can have several reasons, one of them being that several image processing libraries have different pixel orderings.

Approach

Import module
Read image
Convert it using cvtColor()
Add wait key
Add destroy window mechanism

Image used: Apple

First, we will display the image as it is imported which means in BGR format.

Example:

Python3

import cv2 
  
image = cv2.imread("/content/gfg.jpeg") 
cv2.imshow('image',image) 
cv2.waitKey(0) 
cv2.destroyAllWindows()

Output:

Now to convert BGR to RGB implementation is given below.

Example:

Python3

import cv2 
  
image = cv2.imread("/content/gfg.jpeg") 
  
# converting BGR to RGB 
image_rgb = cv2.cvtColor(image, cv2.COLOR_BGR2RGB) 
  
cv2.imshow('image', image_rgb) 
cv2.waitKey(0) 
cv2.destroyAllWindows() 

Output:

Watermarking images with OpenCV and Python

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