169 lines
5.5 KiB
Objective-C
169 lines
5.5 KiB
Objective-C
//
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// This file is auto-generated. Please don't modify it!
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//
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#pragma once
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#ifdef __cplusplus
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//#import "opencv.hpp"
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#import "opencv2/bioinspired.hpp"
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#import "opencv2/bioinspired/transientareassegmentationmodule.hpp"
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#else
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#define CV_EXPORTS
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#endif
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#import <Foundation/Foundation.h>
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#import "Algorithm.h"
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@class Mat;
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@class Size2i;
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NS_ASSUME_NONNULL_BEGIN
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// C++: class TransientAreasSegmentationModule
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/**
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* class which provides a transient/moving areas segmentation module
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*
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* perform a locally adapted segmentation by using the retina magno input data Based on Alexandre
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* BENOIT thesis: "Le système visuel humain au secours de la vision par ordinateur"
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*
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* 3 spatio temporal filters are used:
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* - a first one which filters the noise and local variations of the input motion energy
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* - a second (more powerfull low pass spatial filter) which gives the neighborhood motion energy the
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* segmentation consists in the comparison of these both outputs, if the local motion energy is higher
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* to the neighborhood otion energy, then the area is considered as moving and is segmented
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* - a stronger third low pass filter helps decision by providing a smooth information about the
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* "motion context" in a wider area
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*
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* Member of `Bioinspired`
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*/
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CV_EXPORTS @interface TransientAreasSegmentationModule : Algorithm
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#ifdef __cplusplus
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@property(readonly)cv::Ptr<cv::bioinspired::TransientAreasSegmentationModule> nativePtrTransientAreasSegmentationModule;
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#endif
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#ifdef __cplusplus
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- (instancetype)initWithNativePtr:(cv::Ptr<cv::bioinspired::TransientAreasSegmentationModule>)nativePtr;
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+ (instancetype)fromNative:(cv::Ptr<cv::bioinspired::TransientAreasSegmentationModule>)nativePtr;
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#endif
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#pragma mark - Methods
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//
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// Size cv::bioinspired::TransientAreasSegmentationModule::getSize()
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//
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/**
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* return the sze of the manage input and output images
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*/
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- (Size2i*)getSize NS_SWIFT_NAME(getSize());
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//
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// void cv::bioinspired::TransientAreasSegmentationModule::setup(String segmentationParameterFile = "", bool applyDefaultSetupOnFailure = true)
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//
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/**
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* try to open an XML segmentation parameters file to adjust current segmentation instance setup
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*
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* - if the xml file does not exist, then default setup is applied
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* - warning, Exceptions are thrown if read XML file is not valid
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* @param segmentationParameterFile : the parameters filename
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* @param applyDefaultSetupOnFailure : set to true if an error must be thrown on error
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*/
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- (void)setup:(NSString*)segmentationParameterFile applyDefaultSetupOnFailure:(BOOL)applyDefaultSetupOnFailure NS_SWIFT_NAME(setup(segmentationParameterFile:applyDefaultSetupOnFailure:));
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/**
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* try to open an XML segmentation parameters file to adjust current segmentation instance setup
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*
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* - if the xml file does not exist, then default setup is applied
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* - warning, Exceptions are thrown if read XML file is not valid
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* @param segmentationParameterFile : the parameters filename
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*/
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- (void)setup:(NSString*)segmentationParameterFile NS_SWIFT_NAME(setup(segmentationParameterFile:));
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/**
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* try to open an XML segmentation parameters file to adjust current segmentation instance setup
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*
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* - if the xml file does not exist, then default setup is applied
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* - warning, Exceptions are thrown if read XML file is not valid
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*/
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- (void)setup NS_SWIFT_NAME(setup());
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//
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// String cv::bioinspired::TransientAreasSegmentationModule::printSetup()
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//
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/**
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* parameters setup display method
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* @return a string which contains formatted parameters information
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*/
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- (NSString*)printSetup NS_SWIFT_NAME(printSetup());
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//
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// void cv::bioinspired::TransientAreasSegmentationModule::write(String fs)
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//
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/**
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* write xml/yml formated parameters information
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* @param fs : the filename of the xml file that will be open and writen with formatted parameters information
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*/
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- (void)write:(NSString*)fs NS_SWIFT_NAME(write(fs:));
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//
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// void cv::bioinspired::TransientAreasSegmentationModule::run(Mat inputToSegment, int channelIndex = 0)
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//
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/**
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* main processing method, get result using methods getSegmentationPicture()
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* @param inputToSegment : the image to process, it must match the instance buffer size !
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* @param channelIndex : the channel to process in case of multichannel images
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*/
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- (void)run:(Mat*)inputToSegment channelIndex:(int)channelIndex NS_SWIFT_NAME(run(inputToSegment:channelIndex:));
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/**
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* main processing method, get result using methods getSegmentationPicture()
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* @param inputToSegment : the image to process, it must match the instance buffer size !
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*/
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- (void)run:(Mat*)inputToSegment NS_SWIFT_NAME(run(inputToSegment:));
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//
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// void cv::bioinspired::TransientAreasSegmentationModule::getSegmentationPicture(Mat& transientAreas)
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//
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/**
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* access function
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* return the last segmentation result: a boolean picture which is resampled between 0 and 255 for a display purpose
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*/
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- (void)getSegmentationPicture:(Mat*)transientAreas NS_SWIFT_NAME(getSegmentationPicture(transientAreas:));
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//
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// void cv::bioinspired::TransientAreasSegmentationModule::clearAllBuffers()
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//
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/**
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* cleans all the buffers of the instance
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*/
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- (void)clearAllBuffers NS_SWIFT_NAME(clearAllBuffers());
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//
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// static Ptr_TransientAreasSegmentationModule cv::bioinspired::TransientAreasSegmentationModule::create(Size inputSize)
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//
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/**
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* allocator
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* @param inputSize : size of the images input to segment (output will be the same size)
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*/
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+ (TransientAreasSegmentationModule*)create:(Size2i*)inputSize NS_SWIFT_NAME(create(inputSize:));
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@end
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NS_ASSUME_NONNULL_END
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