Ball detection #12
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Ball detection #12
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Add test images and file to test HoughCircles
Add code that uses hough circles to detect balls
AG6GR
requested changes
Feb 1, 2020
| @@ -2,15 +2,18 @@ | |||
| import cv2 as cv | |||
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| vidcap = cv.VideoCapture('test_photos_balls/yellowcheck.mp4') | |||
| #vidcap = cv.VideoCapture('test_photos_balls/yellowcheck.mp4') | |||
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Let's get the ball detection stuff wrapped in the correct classes from the beginning.
| @@ -19,6 +22,9 @@ | |||
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| mask = cv.inRange(hsv, low_yellow, high_yellow) | |||
| mask = cv.erode(mask,None, iterations=7) | |||
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Can you explain what this is accomplishing?
| @@ -30,7 +36,7 @@ | |||
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| th2 = cv.adaptiveThreshold(output[:,:,2], 255,cv.ADAPTIVE_THRESH_GAUSSIAN_C, cv.THRESH_BINARY,15,10) | |||
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| circles = cv.HoughCircles(th2, cv.HOUGH_GRADIENT, 1.8, 20, param1=70, param2=50, minRadius=20, maxRadius=60) | |||
| circles = cv.HoughCircles(th2, cv.HOUGH_GRADIENT, 1.8, 40, param1=70, param2=50, minRadius=20, maxRadius=60) | |||
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Let's get a comment describing what all these parameters are doing.
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Do you have an example of how to run this? |
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Improved ball detection using erode and dilate methods