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3dcc8c38b4
Removed obsolete python samples #25268 Clean Samples #25006 This PR removes 36 obsolete python samples from the project, as part of an effort to keep the codebase clean and focused on current best practices. Some of these samples will be updated with latest algorithms or will be combined with other existing samples. Removed Samples: > browse.py camshift.py coherence.py color_histogram.py contours.py deconvolution.py dft.py dis_opt_flow.py distrans.py edge.py feature_homography.py find_obj.py fitline.py gabor_threads.py hist.py houghcircles.py houghlines.py inpaint.py kalman.py kmeans.py laplace.py lk_homography.py lk_track.py logpolar.py mosse.py mser.py opt_flow.py plane_ar.py squares.py stitching.py text_skewness_correction.py texture_flow.py turing.py video_threaded.py video_v4l2.py watershed.py These changes aim to improve the repository's clarity and usability by removing examples that are no longer relevant or have been superseded by more up-to-date techniques.
70 lines
2.3 KiB
Python
70 lines
2.3 KiB
Python
#!/usr/bin/env python
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'''
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This program demonstrates Laplace point/edge detection using
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OpenCV function Laplacian()
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It captures from the camera of your choice: 0, 1, ... default 0
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Usage:
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python laplace.py <ddepth> <smoothType> <sigma>
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If no arguments given default arguments will be used.
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Keyboard Shortcuts:
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Press space bar to exit the program.
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'''
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# Python 2/3 compatibility
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from __future__ import print_function
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import numpy as np
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import cv2 as cv
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import sys
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def main():
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# Declare the variables we are going to use
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ddepth = cv.CV_16S
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smoothType = "MedianBlur"
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sigma = 3
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if len(sys.argv)==4:
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ddepth = sys.argv[1]
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smoothType = sys.argv[2]
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sigma = sys.argv[3]
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# Taking input from the camera
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cap=cv.VideoCapture(0)
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# Create Window and Trackbar
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cv.namedWindow("Laplace of Image", cv.WINDOW_AUTOSIZE)
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cv.createTrackbar("Kernel Size Bar", "Laplace of Image", sigma, 15, lambda x:x)
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# Printing frame width, height and FPS
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print("=="*40)
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print("Frame Width: ", cap.get(cv.CAP_PROP_FRAME_WIDTH), "Frame Height: ", cap.get(cv.CAP_PROP_FRAME_HEIGHT), "FPS: ", cap.get(cv.CAP_PROP_FPS))
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while True:
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# Reading input from the camera
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ret, frame = cap.read()
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if ret == False:
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print("Can't open camera/video stream")
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break
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# Taking input/position from the trackbar
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sigma = cv.getTrackbarPos("Kernel Size Bar", "Laplace of Image")
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# Setting kernel size
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ksize = (sigma*5)|1
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# Removing noise by blurring with a filter
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if smoothType == "GAUSSIAN":
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smoothed = cv.GaussianBlur(frame, (ksize, ksize), sigma, sigma)
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if smoothType == "BLUR":
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smoothed = cv.blur(frame, (ksize, ksize))
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if smoothType == "MedianBlur":
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smoothed = cv.medianBlur(frame, ksize)
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# Apply Laplace function
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laplace = cv.Laplacian(smoothed, ddepth, 5)
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# Converting back to uint8
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result = cv.convertScaleAbs(laplace, (sigma+1)*0.25)
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# Display Output
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cv.imshow("Laplace of Image", result)
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k = cv.waitKey(30)
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if k == 27:
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return
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if __name__ == "__main__":
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print(__doc__)
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main()
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cv.destroyAllWindows()
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