简而言之,我想通过“形状上下文”匹配来比较不同的道路标记。形状上下文通过计算两种不同形状的距离的误差
我的第一个问题,你可以看到下:Matching shapes of road marking from OpenData
我解决了我的第一个问题,但现在看来一个新的错误。这里是我的代码:
import cv2
import numpy as np
# read data
datapath = "/Users/output/test/";
a = cv2.imread(datapath+"template_orig.png");
b = cv2.imread(datapath+"template.png");
imgray_a = cv2.cvtColor(a,cv2.COLOR_BGR2GRAY)
ret_a,thresh_a = cv2.threshold(imgray_a,127,255,0)
imgray_b = cv2.cvtColor(b,cv2.COLOR_BGR2GRAY)
ret_b,thresh_b = cv2.threshold(imgray_b,127,255,0)
# find contours
_, ca, _ = cv2.findContours(thresh_a, cv2.RETR_CCOMP, cv2.CHAIN_APPROX_SIMPLE)
_, cb, _ = cv2.findContours(thresh_b, cv2.RETR_CCOMP, cv2.CHAIN_APPROX_SIMPLE)
print(np.shape(ca[0]), np.shape(cb[0]))
# generate distance --> Hausdorff OR ShapeContext
hd = cv2.createHausdorffDistanceExtractor()
sd = cv2.createShapeContextDistanceExtractor()
d1 = hd.computeDistance(ca[0],cb[0])
d2 = sd.computeDistance(ca[0],cb[0])
print(d1, " ", d2)
当我比较一个(原转弯箭头) 与b(提取旋转箭头)不存在任何问题,但当我比较一个与c(其他任何测试“形状匹配”算法)出现以下错误:
OpenCV Error: Assertion failed (type == CV_64FC2) in gemmImpl, file /Users/travis/build/skvark/opencv-python/opencv/modules/core/src/matmul.cpp, line 1218
Traceback (most recent call last): File "/test_shape.py", line 74, in d2 = sd.computeDistance(ca[0],cb[0])
cv2.error: /Users/travis/build/skvark/opencv-python/opencv/modules/core/src/matmul.cpp:1218: error: (-215) type == CV_64FC2 in function gemmImpl
错误只发生与“形状上下文”的产生距离的函数而不是与产生“的Hausdorff”的距离的函数