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* Add presets for the
optflow module of OpenCV 3.0 (issue bytedeco…
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opencv/src/main/java/org/bytedeco/javacpp/opencv_optflow.java
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| // Targeted by JavaCPP version 1.1-SNAPSHOT | ||
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| package org.bytedeco.javacpp; | ||
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| import java.nio.*; | ||
| import org.bytedeco.javacpp.*; | ||
| import org.bytedeco.javacpp.annotation.*; | ||
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| import static org.bytedeco.javacpp.opencv_core.*; | ||
| import static org.bytedeco.javacpp.opencv_imgproc.*; | ||
| import static org.bytedeco.javacpp.opencv_imgcodecs.*; | ||
| import static org.bytedeco.javacpp.opencv_videoio.*; | ||
| import static org.bytedeco.javacpp.opencv_highgui.*; | ||
| import static org.bytedeco.javacpp.opencv_video.*; | ||
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| public class opencv_optflow extends org.bytedeco.javacpp.presets.opencv_optflow { | ||
| static { Loader.load(); } | ||
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| // Parsed from <opencv2/optflow.hpp> | ||
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| /* | ||
| By downloading, copying, installing or using the software you agree to this | ||
| license. If you do not agree to this license, do not download, install, | ||
| copy or use the software. | ||
| License Agreement | ||
| For Open Source Computer Vision Library | ||
| (3-clause BSD License) | ||
| Copyright (C) 2013, OpenCV Foundation, all rights reserved. | ||
| Third party copyrights are property of their respective owners. | ||
| Redistribution and use in source and binary forms, with or without modification, | ||
| are permitted provided that the following conditions are met: | ||
| * Redistributions of source code must retain the above copyright notice, | ||
| this list of conditions and the following disclaimer. | ||
| * Redistributions in binary form must reproduce the above copyright notice, | ||
| this list of conditions and the following disclaimer in the documentation | ||
| and/or other materials provided with the distribution. | ||
| * Neither the names of the copyright holders nor the names of the contributors | ||
| may be used to endorse or promote products derived from this software | ||
| without specific prior written permission. | ||
| This software is provided by the copyright holders and contributors "as is" and | ||
| any express or implied warranties, including, but not limited to, the implied | ||
| warranties of merchantability and fitness for a particular purpose are | ||
| disclaimed. In no event shall copyright holders or contributors be liable for | ||
| any direct, indirect, incidental, special, exemplary, or consequential damages | ||
| (including, but not limited to, procurement of substitute goods or services; | ||
| loss of use, data, or profits; or business interruption) however caused | ||
| and on any theory of liability, whether in contract, strict liability, | ||
| or tort (including negligence or otherwise) arising in any way out of | ||
| the use of this software, even if advised of the possibility of such damage. | ||
| */ | ||
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| // #ifndef __OPENCV_OPTFLOW_HPP__ | ||
| // #define __OPENCV_OPTFLOW_HPP__ | ||
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| // #include "opencv2/core.hpp" | ||
| // #include "opencv2/video.hpp" | ||
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| /** | ||
| @defgroup optflow Optical Flow Algorithms | ||
| Dense optical flow algorithms compute motion for each point: | ||
| - cv::optflow::calcOpticalFlowSF | ||
| - cv::optflow::createOptFlow_DeepFlow | ||
| Motion templates is alternative technique for detecting motion and computing its direction. | ||
| See samples/motempl.py. | ||
| - cv::motempl::updateMotionHistory | ||
| - cv::motempl::calcMotionGradient | ||
| - cv::motempl::calcGlobalOrientation | ||
| - cv::motempl::segmentMotion | ||
| Functions reading and writing .flo files in "Middlebury" format, see: <http://vision.middlebury.edu/flow/code/flow-code/README.txt> | ||
| - cv::optflow::readOpticalFlow | ||
| - cv::optflow::writeOpticalFlow | ||
| */ | ||
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| /** @addtogroup optflow | ||
| * @{ | ||
| /** @overload */ | ||
| @Namespace("cv::optflow") public static native void calcOpticalFlowSF( @ByVal Mat from, @ByVal Mat to, @ByVal Mat flow, | ||
| int layers, int averaging_block_size, int max_flow); | ||
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| /** @brief Calculate an optical flow using "SimpleFlow" algorithm. | ||
| @param from First 8-bit 3-channel image. | ||
| @param to Second 8-bit 3-channel image of the same size as prev | ||
| @param flow computed flow image that has the same size as prev and type CV_32FC2 | ||
| @param layers Number of layers | ||
| @param averaging_block_size Size of block through which we sum up when calculate cost function | ||
| for pixel | ||
| @param max_flow maximal flow that we search at each level | ||
| @param sigma_dist vector smooth spatial sigma parameter | ||
| @param sigma_color vector smooth color sigma parameter | ||
| @param postprocess_window window size for postprocess cross bilateral filter | ||
| @param sigma_dist_fix spatial sigma for postprocess cross bilateralf filter | ||
| @param sigma_color_fix color sigma for postprocess cross bilateral filter | ||
| @param occ_thr threshold for detecting occlusions | ||
| @param upscale_averaging_radius window size for bilateral upscale operation | ||
| @param upscale_sigma_dist spatial sigma for bilateral upscale operation | ||
| @param upscale_sigma_color color sigma for bilateral upscale operation | ||
| @param speed_up_thr threshold to detect point with irregular flow - where flow should be | ||
| recalculated after upscale | ||
| See @cite Tao2012 . And site of project - <http://graphics.berkeley.edu/papers/Tao-SAN-2012-05/>. | ||
| @note | ||
| - An example using the simpleFlow algorithm can be found at samples/simpleflow_demo.cpp | ||
| */ | ||
| @Namespace("cv::optflow") public static native void calcOpticalFlowSF( @ByVal Mat from, @ByVal Mat to, @ByVal Mat flow, int layers, | ||
| int averaging_block_size, int max_flow, | ||
| double sigma_dist, double sigma_color, int postprocess_window, | ||
| double sigma_dist_fix, double sigma_color_fix, double occ_thr, | ||
| int upscale_averaging_radius, double upscale_sigma_dist, | ||
| double upscale_sigma_color, double speed_up_thr ); | ||
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| /** @brief Read a .flo file | ||
| @param path Path to the file to be loaded | ||
| The function readOpticalFlow loads a flow field from a file and returns it as a single matrix. | ||
| Resulting Mat has a type CV_32FC2 - floating-point, 2-channel. First channel corresponds to the | ||
| flow in the horizontal direction (u), second - vertical (v). | ||
| */ | ||
| @Namespace("cv::optflow") public static native @ByVal Mat readOpticalFlow( @Str BytePointer path ); | ||
| @Namespace("cv::optflow") public static native @ByVal Mat readOpticalFlow( @Str String path ); | ||
| /** @brief Write a .flo to disk | ||
| @param path Path to the file to be written | ||
| @param flow Flow field to be stored | ||
| The function stores a flow field in a file, returns true on success, false otherwise. | ||
| The flow field must be a 2-channel, floating-point matrix (CV_32FC2). First channel corresponds | ||
| to the flow in the horizontal direction (u), second - vertical (v). | ||
| */ | ||
| @Namespace("cv::optflow") public static native @Cast("bool") boolean writeOpticalFlow( @Str BytePointer path, @ByVal Mat flow ); | ||
| @Namespace("cv::optflow") public static native @Cast("bool") boolean writeOpticalFlow( @Str String path, @ByVal Mat flow ); | ||
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| /** @brief DeepFlow optical flow algorithm implementation. | ||
| The class implements the DeepFlow optical flow algorithm described in @cite Weinzaepfel2013 . See | ||
| also <http://lear.inrialpes.fr/src/deepmatching/> . | ||
| Parameters - class fields - that may be modified after creating a class instance: | ||
| - member float alpha | ||
| Smoothness assumption weight | ||
| - member float delta | ||
| Color constancy assumption weight | ||
| - member float gamma | ||
| Gradient constancy weight | ||
| - member float sigma | ||
| Gaussian smoothing parameter | ||
| - member int minSize | ||
| Minimal dimension of an image in the pyramid (next, smaller images in the pyramid are generated | ||
| until one of the dimensions reaches this size) | ||
| - member float downscaleFactor | ||
| Scaling factor in the image pyramid (must be \< 1) | ||
| - member int fixedPointIterations | ||
| How many iterations on each level of the pyramid | ||
| - member int sorIterations | ||
| Iterations of Succesive Over-Relaxation (solver) | ||
| - member float omega | ||
| Relaxation factor in SOR | ||
| */ | ||
| @Namespace("cv::optflow") public static native @Ptr DenseOpticalFlow createOptFlow_DeepFlow(); | ||
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| /** Additional interface to the SimpleFlow algorithm - calcOpticalFlowSF() */ | ||
| @Namespace("cv::optflow") public static native @Ptr DenseOpticalFlow createOptFlow_SimpleFlow(); | ||
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| /** Additional interface to the Farneback's algorithm - calcOpticalFlowFarneback() */ | ||
| @Namespace("cv::optflow") public static native @Ptr DenseOpticalFlow createOptFlow_Farneback(); | ||
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| /** @} */ | ||
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| //optflow | ||
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| // #include "opencv2/optflow/motempl.hpp" | ||
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| // #endif | ||
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| // Parsed from <opencv2/optflow/motempl.hpp> | ||
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| /* | ||
| By downloading, copying, installing or using the software you agree to this | ||
| license. If you do not agree to this license, do not download, install, | ||
| copy or use the software. | ||
| License Agreement | ||
| For Open Source Computer Vision Library | ||
| (3-clause BSD License) | ||
| Copyright (C) 2013, OpenCV Foundation, all rights reserved. | ||
| Third party copyrights are property of their respective owners. | ||
| Redistribution and use in source and binary forms, with or without modification, | ||
| are permitted provided that the following conditions are met: | ||
| * Redistributions of source code must retain the above copyright notice, | ||
| this list of conditions and the following disclaimer. | ||
| * Redistributions in binary form must reproduce the above copyright notice, | ||
| this list of conditions and the following disclaimer in the documentation | ||
| and/or other materials provided with the distribution. | ||
| * Neither the names of the copyright holders nor the names of the contributors | ||
| may be used to endorse or promote products derived from this software | ||
| without specific prior written permission. | ||
| This software is provided by the copyright holders and contributors "as is" and | ||
| any express or implied warranties, including, but not limited to, the implied | ||
| warranties of merchantability and fitness for a particular purpose are | ||
| disclaimed. In no event shall copyright holders or contributors be liable for | ||
| any direct, indirect, incidental, special, exemplary, or consequential damages | ||
| (including, but not limited to, procurement of substitute goods or services; | ||
| loss of use, data, or profits; or business interruption) however caused | ||
| and on any theory of liability, whether in contract, strict liability, | ||
| or tort (including negligence or otherwise) arising in any way out of | ||
| the use of this software, even if advised of the possibility of such damage. | ||
| */ | ||
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| // #ifndef __OPENCV_OPTFLOW_MOTEMPL_HPP__ | ||
| // #define __OPENCV_OPTFLOW_MOTEMPL_HPP__ | ||
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| // #include "opencv2/core.hpp" | ||
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| /** @addtogroup optflow | ||
| * @{ | ||
| /** @brief Updates the motion history image by a moving silhouette. | ||
| @param silhouette Silhouette mask that has non-zero pixels where the motion occurs. | ||
| @param mhi Motion history image that is updated by the function (single-channel, 32-bit | ||
| floating-point). | ||
| @param timestamp Current time in milliseconds or other units. | ||
| @param duration Maximal duration of the motion track in the same units as timestamp . | ||
| The function updates the motion history image as follows: | ||
| \f[\texttt{mhi} (x,y)= \forkthree{\texttt{timestamp}}{if \(\texttt{silhouette}(x,y) \ne 0\)}{0}{if \(\texttt{silhouette}(x,y) = 0\) and \(\texttt{mhi} < (\texttt{timestamp} - \texttt{duration})\)}{\texttt{mhi}(x,y)}{otherwise}\f] | ||
| That is, MHI pixels where the motion occurs are set to the current timestamp , while the pixels | ||
| where the motion happened last time a long time ago are cleared. | ||
| The function, together with calcMotionGradient and calcGlobalOrientation , implements a motion | ||
| templates technique described in @cite Davis97 and @cite Bradski00 . | ||
| */ | ||
| @Namespace("cv::motempl") public static native void updateMotionHistory( @ByVal Mat silhouette, @ByVal Mat mhi, | ||
| double timestamp, double duration ); | ||
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| /** @brief Calculates a gradient orientation of a motion history image. | ||
| @param mhi Motion history single-channel floating-point image. | ||
| @param mask Output mask image that has the type CV_8UC1 and the same size as mhi . Its non-zero | ||
| elements mark pixels where the motion gradient data is correct. | ||
| @param orientation Output motion gradient orientation image that has the same type and the same | ||
| size as mhi . Each pixel of the image is a motion orientation, from 0 to 360 degrees. | ||
| @param delta1 Minimal (or maximal) allowed difference between mhi values within a pixel | ||
| neighborhood. | ||
| @param delta2 Maximal (or minimal) allowed difference between mhi values within a pixel | ||
| neighborhood. That is, the function finds the minimum ( \f$m(x,y)\f$ ) and maximum ( \f$M(x,y)\f$ ) mhi | ||
| values over \f$3 \times 3\f$ neighborhood of each pixel and marks the motion orientation at \f$(x, y)\f$ | ||
| as valid only if | ||
| \f[\min ( \texttt{delta1} , \texttt{delta2} ) \le M(x,y)-m(x,y) \le \max ( \texttt{delta1} , \texttt{delta2} ).\f] | ||
| @param apertureSize Aperture size of the Sobel operator. | ||
| The function calculates a gradient orientation at each pixel \f$(x, y)\f$ as: | ||
| \f[\texttt{orientation} (x,y)= \arctan{\frac{d\texttt{mhi}/dy}{d\texttt{mhi}/dx}}\f] | ||
| In fact, fastAtan2 and phase are used so that the computed angle is measured in degrees and covers | ||
| the full range 0..360. Also, the mask is filled to indicate pixels where the computed angle is | ||
| valid. | ||
| @note | ||
| - (Python) An example on how to perform a motion template technique can be found at | ||
| opencv_source_code/samples/python2/motempl.py | ||
| */ | ||
| @Namespace("cv::motempl") public static native void calcMotionGradient( @ByVal Mat mhi, @ByVal Mat mask, @ByVal Mat orientation, | ||
| double delta1, double delta2, int apertureSize/*=3*/ ); | ||
| @Namespace("cv::motempl") public static native void calcMotionGradient( @ByVal Mat mhi, @ByVal Mat mask, @ByVal Mat orientation, | ||
| double delta1, double delta2 ); | ||
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| /** @brief Calculates a global motion orientation in a selected region. | ||
| @param orientation Motion gradient orientation image calculated by the function calcMotionGradient | ||
| @param mask Mask image. It may be a conjunction of a valid gradient mask, also calculated by | ||
| calcMotionGradient , and the mask of a region whose direction needs to be calculated. | ||
| @param mhi Motion history image calculated by updateMotionHistory . | ||
| @param timestamp Timestamp passed to updateMotionHistory . | ||
| @param duration Maximum duration of a motion track in milliseconds, passed to updateMotionHistory | ||
| The function calculates an average motion direction in the selected region and returns the angle | ||
| between 0 degrees and 360 degrees. The average direction is computed from the weighted orientation | ||
| histogram, where a recent motion has a larger weight and the motion occurred in the past has a | ||
| smaller weight, as recorded in mhi . | ||
| */ | ||
| @Namespace("cv::motempl") public static native double calcGlobalOrientation( @ByVal Mat orientation, @ByVal Mat mask, @ByVal Mat mhi, | ||
| double timestamp, double duration ); | ||
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| /** @brief Splits a motion history image into a few parts corresponding to separate independent motions (for | ||
| example, left hand, right hand). | ||
| @param mhi Motion history image. | ||
| @param segmask Image where the found mask should be stored, single-channel, 32-bit floating-point. | ||
| @param boundingRects Vector containing ROIs of motion connected components. | ||
| @param timestamp Current time in milliseconds or other units. | ||
| @param segThresh Segmentation threshold that is recommended to be equal to the interval between | ||
| motion history "steps" or greater. | ||
| The function finds all of the motion segments and marks them in segmask with individual values | ||
| (1,2,...). It also computes a vector with ROIs of motion connected components. After that the motion | ||
| direction for every component can be calculated with calcGlobalOrientation using the extracted mask | ||
| of the particular component. | ||
| */ | ||
| @Namespace("cv::motempl") public static native void segmentMotion( @ByVal Mat mhi, @ByVal Mat segmask, | ||
| @ByRef RectVector boundingRects, | ||
| double timestamp, double segThresh ); | ||
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| /** @} */ | ||
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| // #endif | ||
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| } |
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