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Fast Circle Detection using Gradient Pair Vectors
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#!/usr/bin/env python2 | |
import numpy as np | |
import cv2 as cv | |
def FCD( src, mask ): | |
A_THRESH = [ 2, 1 ] | |
sobel_x = cv.Sobel( src, cv.CV_32F, 1, 0, ksize = 5 ) | |
sobel_y = cv.Sobel( src, cv.CV_32F, 0, 1, ksize = 5 ) | |
magnitude, angle = cv.cartToPolar( sobel_x, sobel_y, angleInDegrees = True ) | |
angle = np.around( angle, 0 ) | |
# v = [[]]*360 | |
# for x, y in np.transpose( np.nonzero( magnitude > mask ) ) : | |
# ag = angle.item( x, y ) | |
# if ag == 360: ag = 0 | |
# v[int(ag)].append( ( x, y ) ) | |
for a in range(180) : | |
for b in range( a + 180 - A_THRESH[0], ( a + 180 + A_THRESH[0] ) % 360 ) : | |
#v[a], v[b] | |
# ??? where did the code go | |
# cv.imshow( "j", edges ) | |
cam = cv.VideoCapture(0) | |
cv.namedWindow( "i" ) | |
cv.namedWindow( "j" ) | |
while True: | |
rval, src = cam.read() | |
src_hsv = cv.cvtColor( src, cv.COLOR_BGR2HSV ) | |
blurred = cv.GaussianBlur( src_hsv[...,2], (7,7), 5 ) | |
FCD( blurred, 1000 ) | |
cv.imshow( "i", blurred ) | |
if cv.waitKey(20) == 27 : | |
break |
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