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Questions and Answers
What does the variable 'half_width' represent in the given code?
What does the variable 'half_width' represent in the given code?
Why is 'cv2.imshow()' used in the provided code?
Why is 'cv2.imshow()' used in the provided code?
What happens if 'cv2.waitKey(0)' is removed from the code?
What happens if 'cv2.waitKey(0)' is removed from the code?
How are the four quadrants created in the given function?
How are the four quadrants created in the given function?
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What does 'cv2.destroyAllWindows()' do in the provided code?
What does 'cv2.destroyAllWindows()' do in the provided code?
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Study Notes
Image Processing with OpenCV
- The
split_image
function is used to divide an image into four quadrants. - The function takes an
image_path
as an input, which is the path to the image file.
Image Loading and Dimensions
- The
cv2.imread
function is used to read the image from the specified path. - The
image.shape
attribute returns a tuple containing the dimensions of the image (height, width, channels).
Calculating Quadrant Dimensions
- The
half_width
andhalf_height
variables are calculated by dividing the image dimensions by 2. - These variables are used to split the image into quadrants.
Splitting the Image
- The image is divided into four quadrants:
top_left
,top_right
,bottom_left
, andbottom_right
. - Each quadrant is a subset of the original image, defined by its coordinates (height, width).
Displaying the Quadrants
- The
cv2.imshow
function is used to display each quadrant in a separate window. - The
cv2.waitKey
function is used to wait for a keyboard event, andcv2.destroyAllWindows
is used to close all OpenCV windows.
Example Usage
- The
image_path
variable is set to"example_image.jpg"
, which should be replaced with the actual image file path. - The
split_image
function is called with theimage_path
as an argument to split and display the image.
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Description
Test your knowledge on splitting images into quadrants using OpenCV. Learn how to use Python and the cv2 library to divide images efficiently for processing or analysis.