themap = cv.CreateMat(8,8,cv.CV_8UC1)
cv.SetZero(themap)
cv.Line(themap,(0,0),(7,7),(10),1,cv.CV_AA) #draw a line
print np.asarray(themap[:,:])
#######output
[[ 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0]
[ 0 2 7 2 0 0 0 0]
[ 0 0 3 10 3 0 0 0]
[ 0 0 0 3 10 3 0 0]
[ 0 0 0 0 2 7 2 0]
[ 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0]]
However, when I change the image type to cv.CV_16UC1
, the result is totally different:
themap = cv.CreateMat(8,8,cv.CV_16UC1)
cv.SetZero(themap)
cv.Line(themap,(0,0),(7,7),(10),1,cv.CV_AA) #draw a line
print np.asarray(themap[:,:])
#######output
[[10 0 0 0 0 0 0 0]
[ 0 10 0 0 0 0 0 0]
[ 0 0 10 0 0 0 0 0]
[ 0 0 0 10 0 0 0 0]
[ 0 0 0 0 10 0 0 0]
[ 0 0 0 0 0 10 0 0]
[ 0 0 0 0 0 0 10 0]
[ 0 0 0 0 0 0 0 10]]
I'm totally confused by such results. Since the pixel value is only 10, there should not be overflow problems for cv.CV_8UC1
image type. Why the results of cv.Line
can be so different?
The opencv in installed in /usr/local/Cellar/opencv@2/2.4.13.6_2/lib/python2.7/site-packages/cv.py
with brew install opencv@2
.