I am trying to warp some irregular shapes from images to rectangles to ease processing and make the objects in the shape easier to visually inspect, and I am having troubles with the Python implementation of openCV createThinPlateSplineShapeTransformer.
I have read the answers here, with a full C++ implementation and here, with an uncomplete Python, but I am unable to make it work.
This is what I am doing, for testing purpose I am converting a square shape into the very same square with one of its corners displaced:
pts1 = []
pts1.append((0,0))
pts1.append((10,0))
pts1.append((10,10))
pts1.append((0,10))
pts2 = []
pts2.append((0,0))
pts2.append((10,0))
pts2.append((20,10))
pts2.append((0,10))
P1 = np.array(pts1,np.int32)
P2 = np.array(pts1,np.int32)
P1 = P1.reshape((-1,4,2))
P2 = P2.reshape((-1,4,2))
matches = []
for i in range(4):
matches.append(cv2.DMatch(i,i,0))
tps.estimateTransformation(P1,P2,matches)
So far so good, even though I do not understand the format of the input points. But when I try to transform any points, the result is always [0,0] (or something by e-44):
tps.applyTransformation(P1)
(0.0, array([[[ 0.00000000e+00, 0.00000000e+00],
[ 1.40129846e-44, 0.00000000e+00],
[ 1.40129846e-44, 1.40129846e-44],
[ 0.00000000e+00, 1.40129846e-44]]], dtype=float32))
What am I doing wrong?
↧