Prerequisite: Basics of OpenCV
OpenCV (Open Source Computer Vision) is a computer vision library that contains various functions to perform operations on pictures or videos. It was originally developed by Intel but was later maintained by Willow Garage and is now maintained by Itseez. This library is cross-platform that it is available in multiple programming languages such as Python, C++, etc. In this article, we’ll try to check if the opened image is empty or not by using OpenCV (Open Source Computer Vision).
To do this OpenCV libraries are required to install:
pip install opencv-python
To achieve this objective we will use cv2.imread() method, If this method read the image then it returns the image coordinates matrix otherwise it will return None.
Input Image:
Gfg.png
Example:
In this example, we will read the image and check found or not.
Python3
# Importing OpenCV libraryimport cv2 # user define function# that return None or def check_empty_img(img): # Reading Image # You can give path to the # image as first argument image = cv2.imread(img) # Checking if the image is empty or not if image is None: result = "Image is empty!!" else: result = "Image is not empty!!" return result # driver nodeimg = "Gfg.png" # Calling and printing# the functionprint(check_empty_img(img)) |
Output:
Image is not empty!!
Example 2:
In this example, here the image is not found.
Python3
# Importing OpenCV libraryimport cv2 # user define function# that return None or def check_empty_img(url): # Reading Image # You can give path to the # image as first argument image = cv2.imread(url) # Checking if the image is empty or not if image is None: result = "Image is empty!!" else: result = "Image is not empty!!" return result # driver nodeimg = "geek.png" # Calling and printing# the functionprint(check_empty_img(img)) |
Output:
Image is empty!!
