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- """
- @file laplace_demo.py
- @brief Sample code showing how to detect edges using the Laplace operator
- """
- import sys
- import cv2 as cv
- def main(argv):
- # [variables]
- # Declare the variables we are going to use
- ddepth = cv.CV_16S
- kernel_size = 3
- window_name = "Laplace Demo"
- # [variables]
- # [load]
- imageName = argv[0] if len(argv) > 0 else 'lena.jpg'
- src = cv.imread(cv.samples.findFile(imageName), cv.IMREAD_COLOR) # Load an image
- # Check if image is loaded fine
- if src is None:
- print ('Error opening image')
- print ('Program Arguments: [image_name -- default lena.jpg]')
- return -1
- # [load]
- # [reduce_noise]
- # Remove noise by blurring with a Gaussian filter
- src = cv.GaussianBlur(src, (3, 3), 0)
- # [reduce_noise]
- # [convert_to_gray]
- # Convert the image to grayscale
- src_gray = cv.cvtColor(src, cv.COLOR_BGR2GRAY)
- # [convert_to_gray]
- # Create Window
- cv.namedWindow(window_name, cv.WINDOW_AUTOSIZE)
- # [laplacian]
- # Apply Laplace function
- dst = cv.Laplacian(src_gray, ddepth, ksize=kernel_size)
- # [laplacian]
- # [convert]
- # converting back to uint8
- abs_dst = cv.convertScaleAbs(dst)
- # [convert]
- # [display]
- cv.imshow(window_name, abs_dst)
- cv.waitKey(0)
- # [display]
- return 0
- if __name__ == "__main__":
- main(sys.argv[1:])
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