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Update findContours parameter type

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Suleyman TURKMEN
2018-09-27 07:42:21 +03:00
parent 29e88e50ff
commit 8eb987e393
17 changed files with 25 additions and 25 deletions
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doc/py_tutorials/py_imgproc/py_contours/py_contour_features/py_contour_features.markdown
+1 -1
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@@ -23,7 +23,7 @@ import cv2 as cv
img = cv.imread('star.jpg',0)
ret,thresh = cv.threshold(img,127,255,0)
im2,contours,hierarchy = cv.findContours(thresh, 1, 2)
contours,hierarchy = cv.findContours(thresh, 1, 2)
cnt = contours[0]
M = cv.moments(cnt)
doc/py_tutorials/py_imgproc/py_contours/py_contours_begin/py_contours_begin.markdown
+4 -4
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@@ -17,7 +17,7 @@ detection and recognition.
- For better accuracy, use binary images. So before finding contours, apply threshold or canny
edge detection.
- Since OpenCV 3.2, findContours() no longer modifies the source image but returns a modified image as the first of three return parameters.
- Since OpenCV 3.2, findContours() no longer modifies the source image.
- In OpenCV, finding contours is like finding white object from black background. So remember,
object to be found should be white and background should be black.
@@ -29,11 +29,11 @@ import cv2 as cv
im = cv.imread('test.jpg')
imgray = cv.cvtColor(im, cv.COLOR_BGR2GRAY)
ret, thresh = cv.threshold(imgray, 127, 255, 0)
im2, contours, hierarchy = cv.findContours(thresh, cv.RETR_TREE, cv.CHAIN_APPROX_SIMPLE)
contours, hierarchy = cv.findContours(thresh, cv.RETR_TREE, cv.CHAIN_APPROX_SIMPLE)
@endcode
See, there are three arguments in **cv.findContours()** function, first one is source image, second
is contour retrieval mode, third is contour approximation method. And it outputs a modified image, the contours and
hierarchy. contours is a Python list of all the contours in the image. Each individual contour is a
is contour retrieval mode, third is contour approximation method. And it outputs the contours and hierarchy.
Contours is a Python list of all the contours in the image. Each individual contour is a
Numpy array of (x,y) coordinates of boundary points of the object.
@note We will discuss second and third arguments and about hierarchy in details later. Until then,
doc/py_tutorials/py_imgproc/py_contours/py_contours_more_functions/py_contours_more_functions.markdown
+3 -3
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@@ -39,7 +39,7 @@ import numpy as np
img = cv.imread('star.jpg')
img_gray = cv.cvtColor(img,cv.COLOR_BGR2GRAY)
ret,thresh = cv.threshold(img_gray, 127, 255,0)
im2,contours,hierarchy = cv.findContours(thresh,2,1)
contours,hierarchy = cv.findContours(thresh,2,1)
cnt = contours[0]
hull = cv.convexHull(cnt,returnPoints = False)
@@ -93,9 +93,9 @@ img2 = cv.imread('star2.jpg',0)
ret, thresh = cv.threshold(img1, 127, 255,0)
ret, thresh2 = cv.threshold(img2, 127, 255,0)
im2,contours,hierarchy = cv.findContours(thresh,2,1)
contours,hierarchy = cv.findContours(thresh,2,1)
cnt1 = contours[0]
im2,contours,hierarchy = cv.findContours(thresh2,2,1)
contours,hierarchy = cv.findContours(thresh2,2,1)
cnt2 = contours[0]
ret = cv.matchShapes(cnt1,cnt2,1,0.0)