Abstract base class for shape transformation algorithms.
More...
#include <opencv2/shape/shape_transformer.hpp>
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virtual float | applyTransformation (InputArray input, OutputArray output=noArray())=0 |
| Apply a transformation, given a pre-estimated transformation parameters. More...
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virtual void | estimateTransformation (InputArray transformingShape, InputArray targetShape, std::vector< DMatch > &matches)=0 |
| Estimate the transformation parameters of the current transformer algorithm, based on point matches. More...
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virtual void | warpImage (InputArray transformingImage, OutputArray output, int flags=INTER_LINEAR, int borderMode=BORDER_CONSTANT, const Scalar &borderValue=Scalar()) const =0 |
| Apply a transformation, given a pre-estimated transformation parameters, to an Image. More...
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| Algorithm () |
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virtual | ~Algorithm () |
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virtual void | clear () |
| Clears the algorithm state. More...
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virtual bool | empty () const |
| Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read. More...
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virtual String | getDefaultName () const |
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virtual void | read (const FileNode &fn) |
| Reads algorithm parameters from a file storage. More...
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virtual void | save (const String &filename) const |
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virtual void | write (FileStorage &fs) const |
| Stores algorithm parameters in a file storage. More...
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void | write (const Ptr< FileStorage > &fs, const String &name=String()) const |
| simplified API for language bindings This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts. More...
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Abstract base class for shape transformation algorithms.
◆ applyTransformation()
Python: |
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| cv.ShapeTransformer.applyTransformation( | input[, output] | ) -> | retval, output |
Apply a transformation, given a pre-estimated transformation parameters.
- Parameters
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input | Contour (set of points) to apply the transformation. |
output | Output contour. |
◆ estimateTransformation()
virtual void cv::ShapeTransformer::estimateTransformation |
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InputArray |
transformingShape, |
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InputArray |
targetShape, |
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std::vector< DMatch > & |
matches |
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pure virtual |
Python: |
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| cv.ShapeTransformer.estimateTransformation( | transformingShape, targetShape, matches | ) -> | None |
Estimate the transformation parameters of the current transformer algorithm, based on point matches.
- Parameters
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transformingShape | Contour defining first shape. |
targetShape | Contour defining second shape (Target). |
matches | Standard vector of Matches between points. |
◆ warpImage()
Python: |
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| cv.ShapeTransformer.warpImage( | transformingImage[, output[, flags[, borderMode[, borderValue]]]] | ) -> | output |
Apply a transformation, given a pre-estimated transformation parameters, to an Image.
- Parameters
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transformingImage | Input image. |
output | Output image. |
flags | Image interpolation method. |
borderMode | border style. |
borderValue | border value. |
The documentation for this class was generated from the following file: