mirror of
https://github.com/opencv/opencv.git
synced 2024-12-15 18:09:11 +08:00
70 lines
2.3 KiB
Python
70 lines
2.3 KiB
Python
|
#!/usr/bin/env python
|
||
|
|
|
||
|
|
'''
|
||
|
|
This program demonstrates Laplace point/edge detection using
|
||
|
|
OpenCV function Laplacian()
|
||
|
|
It captures from the camera of your choice: 0, 1, ... default 0
|
||
|
|
Usage:
|
||
|
|
python laplace.py <ddepth> <smoothType> <sigma>
|
||
|
|
If no arguments given default arguments will be used.
|
||
|
|
|
||
|
|
Keyboard Shortcuts:
|
||
|
|
Press space bar to exit the program.
|
||
|
|
'''
|
||
|
|
|
||
|
|
# Python 2/3 compatibility
|
||
|
|
from __future__ import print_function
|
||
|
|
|
||
|
|
import numpy as np
|
||
|
|
import cv2 as cv
|
||
|
|
import sys
|
||
|
|
|
||
|
|
def main():
|
||
|
|
# Declare the variables we are going to use
|
||
|
|
ddepth = cv.CV_16S
|
||
|
|
smoothType = "MedianBlur"
|
||
|
|
sigma = 3
|
||
|
|
if len(sys.argv)==4:
|
||
|
|
ddepth = sys.argv[1]
|
||
|
|
smoothType = sys.argv[2]
|
||
|
|
sigma = sys.argv[3]
|
||
|
|
# Taking input from the camera
|
||
|
|
cap=cv.VideoCapture(0)
|
||
|
|
# Create Window and Trackbar
|
||
|
|
cv.namedWindow("Laplace of Image", cv.WINDOW_AUTOSIZE)
|
||
|
|
cv.createTrackbar("Kernel Size Bar", "Laplace of Image", sigma, 15, lambda x:x)
|
||
|
|
# Printing frame width, height and FPS
|
||
|
|
print("=="*40)
|
||
|
|
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))
|
||
|
|
while True:
|
||
|
|
# Reading input from the camera
|
||
|
|
ret, frame = cap.read()
|
||
|
|
if ret == False:
|
||
|
|
print("Can't open camera/video stream")
|
||
|
|
break
|
||
|
|
# Taking input/position from the trackbar
|
||
|
|
sigma = cv.getTrackbarPos("Kernel Size Bar", "Laplace of Image")
|
||
|
|
# Setting kernel size
|
||
|
|
ksize = (sigma*5)|1
|
||
|
|
# Removing noise by blurring with a filter
|
||
|
|
if smoothType == "GAUSSIAN":
|
||
|
|
smoothed = cv.GaussianBlur(frame, (ksize, ksize), sigma, sigma)
|
||
|
|
if smoothType == "BLUR":
|
||
|
|
smoothed = cv.blur(frame, (ksize, ksize))
|
||
|
|
if smoothType == "MedianBlur":
|
||
|
|
smoothed = cv.medianBlur(frame, ksize)
|
||
|
|
|
||
|
|
# Apply Laplace function
|
||
|
|
laplace = cv.Laplacian(smoothed, ddepth, 5)
|
||
|
|
# Converting back to uint8
|
||
|
|
result = cv.convertScaleAbs(laplace, (sigma+1)*0.25)
|
||
|
|
# Display Output
|
||
|
|
cv.imshow("Laplace of Image", result)
|
||
|
|
k = cv.waitKey(30)
|
||
|
|
if k == 27:
|
||
|
|
return
|
||
|
|
if __name__ == "__main__":
|
||
|
|
print(__doc__)
|
||
|
|
main()
|
||
|
|
cv.destroyAllWindows()
|