I'd like to use the TPS shape transformer in a python project but the bindings appear to be incomplete - I can see the constructor but the other functions (applyTransformatio,warpImage) don't seem to exist. Do Python bindings exist for these?
thing is, to call help() properly here, you have to create an instance of it
>>> help(cv2.createThinPlateSplineShapeTransformer()) ## () braces matter !!
Help on ThinPlateSplineShapeTransformer object:
class ThinPlateSplineShapeTransformer(ShapeTransformer)
| Method resolution order:
| ThinPlateSplineShapeTransformer
| ShapeTransformer
| Algorithm
| builtins.object
|
| Methods defined here:
|
| __new__(*args, **kwargs) from builtins.type
| Create and return a new object. See help(type) for accurate signature.
|
| __repr__(self, /)
| Return repr(self).
|
| getRegularizationParameter(...)
| getRegularizationParameter() -> retval
|
| setRegularizationParameter(...)
| setRegularizationParameter(beta) -> None
|
| ----------------------------------------------------------------------
| Methods inherited from ShapeTransformer:
|
| applyTransformation(...)
| applyTransformation(input[, output]) -> retval, output
|
| estimateTransformation(...)
| estimateTransformation(transformingShape, targetShape, matches) -> None
|
| warpImage(...)
| warpImage(transformingImage[, output[, flags[, borderMode[, borderValue]]]]) -> output
|
| ----------------------------------------------------------------------
| Methods inherited from Algorithm:
|
| clear(...)
| clear() -> None
|
| getDefaultName(...)
| getDefaultName() -> retval
|
| save(...)
| save(filename) -> None
Thank you - I was expecting my IDE to display the options since it should automatically read all members of the classes in cv2 but this did not happen - I don't know why.
I am trying to execute a Thin Plate Spline transformation on a single image using two pre-calculated source and target points. I have seen that the estimateTransformation method requires a set of matches as its third argument but as I am not in fact using a second image it is not relevant. In similar C++ implementations I have seen that they explicitly create a set of "dummy" DMatch objects with identical index values which they then pass to the parameter but in Python i cannot see how I can create a DMatch object - the definition does not appear to exist. How can I call the function?
i can only guess here: you probably have to do some keypoint detection/matching on both original shapes/images, and then feed that back into the estimation.
if you can find a link to an c++ example, i'll look into it !
Hi Berak,
I have this link which is in fact an older question posted in the forum. As you can see a number of DMatch objects were created and then passed on to the estimateTransformation method but they are "dummy" ones in the sense that they do not refer to any real matches between two images - the objective is to warp a single image by moving a set of control points on that same image
sorry, but idk.
if it helps, it looks fairly easy, to create a DMatch object:
>>> help(cv2.DMatch)
Help on built-in function DMatch:
DMatch(...)
DMatch() -> <DMatch object> or DMatch(_queryIdx, _trainIdx, _distance) -> <DMatch object> or DMatch(_queryIdx, _trainIdx, _imgIdx, _distance) -> <DMatch object>
Thanks for your help Berak, I have managed to create the DMatch object. I'm having other difficulties with implementing the TPS class but since this post had a very specific subject I've decided to close it and post a new question specific to the problems I'm having. Thanks for your assistance
Regards, Savvas
Asked: 2017-01-07 19:03:53 -0600
Seen: 1,810 times
Last updated: Jan 08 '17