So I wrote this little program which allows me to select 4 points on two images.
Usign those points I get a transformation matrix. After that I select a point on one of the images and want to get visualization of where that point will be on other image.
Say my point is marked like this -> (x,y)
- so it's a tuple. How should I format this "position" on image so it can be possible to transform it.
I have looked at documentation for perspectiveTransform() method and figured that I should be storing it in following shape:
numpy.array([
[self.points[self.length-1][0]],
[self.points[self.length-1][1]]
], dtype="float32")
Which would give me on a single click this format:
Point= [[ 2300.]
[ 634.]]
This format doesn't seem to work, I use this Transformation matrix:
M = [[ -1.71913123e+00 -4.76850572e+00 5.27968944e+03]
[ 2.07693562e-01 -1.09738424e+01 6.35222770e+03]
[ 1.02865125e-04 -4.80067600e-03 1.00000000e+00]]
in this method (and get following error):
cv2.perspectiveTransform(src, M)
OpenCV Error: Assertion failed (scn + 1 == m.cols) in cv::perspectiveTransform, file C:\builds\master_PackSlaveAddon-win64-vc12-static\opencv\modules\core\src\matmul.cpp
Any advice or tip is welcome.
I figured out the answer.
Found it on this link
The key is to put your point like this:
pts = numpy.array([[x,y]], dtype = "float32")
And then call another numpy.array
on existing variable pts
:
pts = numpy.array([pts])
The procedure is the same after this.
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