Commit e11864f

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update ch25

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+19

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+19

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Lines changed: 9 additions & 1 deletion

Original file line number	Diff line number	Diff line change
`@@ -2,6 +2,14 @@`
`2`	`2`	`__author__ = 'play4fun'`
`3`	`3`	`"""`
`4`	`4`	`create time:15-10-25 上午11:42`
	`5`	`+`
	`6`	`+cv2.HoughLines()。返回值就是 ρ, θ 。`
	`7`	`+ρ 的单位是像素 θ 的单位是弧度。`
	`8`	`+第一个参数是一个二值化图像所以在进行霍夫变换之前先进行二值化或者`
	`9`	`+Canny 缘检测。`
	`10`	`+第二和第三个值分别代 ρ 和 θ 的精确度。`
	`11`	`+第四个参数是阈值, 只有累加其中的值高于阈值时才被认为是一条直线`
	`12`	`+也可以把它看成能检测到的直线的最短长度以像素点为单位。`
`5`	`13`	`"""`
`6`	`14`
`7`	`15`	`import cv2`
`@@ -32,4 +40,4 @@`
`32`	`40`	`# cv2.imwrite('houghlines3.jpg',img)`
`33`	`41`	`cv2.imshow("houghlines3.jpg", img)`
`34`	`42`	`cv2.waitKey(0)`
`35`		`-cv2.destroyAllWindows()`
	`43`	`+cv2.destroyAllWindows()`

Lines changed: 2 additions & 0 deletions

Original file line number	Diff line number	Diff line change
`@@ -13,13 +13,15 @@`
`13`	`13`
`14`	`14`	`minLineLength = 100`
`15`	`15`	`maxLineGap = 10`
	`16`	`+`
`16`	`17`	`lines = cv2.HoughLinesP(edges, 1, np.pi / 180, 100, minLineLength, maxLineGap)`
`17`	`18`	`print("Len of lines:", len(lines))`
`18`	`19`	`print(lines)`
`19`	`20`
`20`	`21`	`for line in lines:`
`21`	`22`	`x1, y1, x2, y2 = line[0]`
`22`	`23`	`cv2.line(img, (x1, y1), (x2, y2), (0, 255, 0), 2)`
	`24`	`+`
`23`	`25`	`# cv2.imwrite('houghlines5.jpg',img)`
`24`	`26`	`cv2.imshow("houghlines3.jpg", img)`
`25`	`27`	`cv2.waitKey(0)`

Lines changed: 8 additions & 1 deletion

Original file line number	Diff line number	Diff line change
`@@ -12,8 +12,11 @@`
`12`	`12`	`import numpy as np`
`13`	`13`
`14`	`14`	`cap = cv2.VideoCapture(0)`
	`15`	`+# ret = cap.set(3, 640)`
	`16`	`+# ret = cap.set(4, 480)`
	`17`	`+`
`15`	`18`	`# while (True):`
`16`		`-while (cap.isOpened()):`
	`19`	`+while cap.isOpened():`
`17`	`20`	`# Capture frame-by-frame`
`18`	`21`	`ret, frame = cap.read()`
`19`	`22`	`# img = cv2.imread('../data/sudoku.jpg')`
`@@ -23,14 +26,18 @@`
`23`	`26`	`minLineLength = 100`
`24`	`27`	`maxLineGap = 10`
`25`	`28`	`lines = cv2.HoughLinesP(edges, 1, np.pi / 180, 100, minLineLength, maxLineGap)`
	`29`	`+ if lines is None:`
	`30`	`+ continue`
`26`	`31`	`print("Len of lines:", len(lines))`
`27`	`32`	`print(lines)`
`28`	`33`
`29`	`34`	`for line in lines:`
`30`	`35`	`x1, y1, x2, y2 = line[0]`
`31`	`36`	`cv2.line(frame, (x1, y1), (x2, y2), (0, 255, 0), 2)`
	`37`	`+`
`32`	`38`	`# cv2.imwrite('houghlines5.jpg',img)`
`33`	`39`	`cv2.imshow("houghlines3.jpg", frame)`
	`40`	`+`
`34`	`41`	`if cv2.waitKey(1) == ord("q"):`
`35`	`42`	`break`
`36`	`43`

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