cv2.createShapeContextDistanceExtractor始终返回0.0

I want to compute a distance between two shapes using the Hausdorff distance or shape context distance measure with cv2. The shapes are simple white shapes on a black background.

我想使用带有cv2的Hausdorff距离或形状上下文距离测量来计算两个形状之间的距离。形状是黑色背景上的简单白色形状。

In order to find the distance between two shapes, I find contours of each shape and then pass the contours to the following functions: ShapeDistanceExtractor::computeDistance(contours1, countours2) and HausdorffDistanceExtractor::computeDistance(contours1, countours2).

为了找到两个形状之间的距离,我找到每个形状的轮廓,然后将轮廓传递给以下函数:ShapeDistanceExtractor :: computeDistance(contours1,countours2)和HausdorffDistanceExtractor :: computeDistance(contours1,countours2)。

Can you please explain me, why during the comparison the ShapeDistanceExtractor always returns 0.0, whereas the second method gives me different results depending on the position of a character on the image?

你可以解释一下,为什么在比较期间ShapeDistanceExtractor总是返回0.0,而第二种方法根据图像上字符的位置给出不同的结果?

import cv2
a = cv2.imread("1.png",0);
b = cv2.imread("2.png",0);

_, ca, _ = cv2.findContours(a, cv2.RETR_CCOMP, cv2.CHAIN_APPROX_TC89_KCOS) 
_, cb, _ = cv2.findContours(b, cv2.RETR_CCOMP, cv2.CHAIN_APPROX_TC89_KCOS) 
print np.shape(ca[0]) , np.shape(cb[0])

hd = cv2.createHausdorffDistanceExtractor()
sd = cv2.createShapeContextDistanceExtractor()

d1 = hd.computeDistance(ca[0],cb[0])
d2 = sd.computeDistance(ca[0],cb[0])

print d1, " ", d2

1 个解决方案

#1

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