The opencv element includes were full of duplicates and uneeded headers.
For example a few elements that stopped using gstcvopencvutils still
included that header file.
# include <config.h>
#endif
-#include <gst/gst.h>
-
#include "gstcvdilate.h"
#include <opencv2/imgproc/imgproc_c.h>
# include <config.h>
#endif
-#include <gst/gst.h>
-
#include "gstopencvutils.h"
#include "gstcvdilateerode.h"
/*
* GStreamer
* Copyright (C) 2010 Thiago Santos <thiago.sousa.santos@collabora.co.uk>
- *
+ *
* Permission is hereby granted, free of charge, to any person obtaining a
* copy of this software and associated documentation files (the "Software"),
* to deal in the Software without restriction, including without limitation
#ifndef __GST_CV_DILATE_ERODE_H__
#define __GST_CV_DILATE_ERODE_H__
-#include <gst/gst.h>
-
#include <gstopencvvideofilter.h>
G_BEGIN_DECLS
gint iterations;
};
-struct _GstCvDilateErodeClass
+struct _GstCvDilateErodeClass
{
GstOpencvVideoFilterClass parent_class;
};
# include <config.h>
#endif
-#include <gst/gst.h>
-
-#include "gstopencvutils.h"
#include "gstcvequalizehist.h"
#include <opencv2/imgproc/imgproc_c.h>
/*
* GStreamer
* Copyright (C) 2010 Thiago Santos <thiago.sousa.santos@collabora.co.uk>
- *
+ *
* Permission is hereby granted, free of charge, to any person obtaining a
* copy of this software and associated documentation files (the "Software"),
* to deal in the Software without restriction, including without limitation
#ifndef __GST_CV_EQUALIZE_HIST_H__
#define __GST_CV_EQUALIZE_HIST_H__
-#include <gst/gst.h>
-
#include <gstopencvvideofilter.h>
G_BEGIN_DECLS
GstOpencvVideoFilter element;
};
-struct _GstCvEqualizeHistClass
+struct _GstCvEqualizeHistClass
{
GstOpencvVideoFilterClass parent_class;
};
# include <config.h>
#endif
-#include <gst/gst.h>
-
#include "gstcverode.h"
#include <opencv2/imgproc/imgproc_c.h>
# include <config.h>
#endif
-#include <gst/gst.h>
-
-#include "gstopencvutils.h"
#include "gstcvlaplace.h"
#include <opencv2/imgproc/imgproc_c.h>
/*
* GStreamer
* Copyright (C) 2010 Thiago Santos <thiago.sousa.santos@collabora.co.uk>
- *
+ *
* Permission is hereby granted, free of charge, to any person obtaining a
* copy of this software and associated documentation files (the "Software"),
* to deal in the Software without restriction, including without limitation
#ifndef __GST_CV_LAPLACE_H__
#define __GST_CV_LAPLACE_H__
-#include <gst/gst.h>
-
#include <gstopencvvideofilter.h>
G_BEGIN_DECLS
IplImage *intermediary_img;
};
-struct _GstCvLaplaceClass
+struct _GstCvLaplaceClass
{
GstOpencvVideoFilterClass parent_class;
};
/*
* GStreamer
* Copyright (C) 2010 Thiago Santos <thiago.sousa.santos@collabora.co.uk>
- *
+ *
* Permission is hereby granted, free of charge, to any person obtaining a
* copy of this software and associated documentation files (the "Software"),
* to deal in the Software without restriction, including without limitation
# include <config.h>
#endif
-#include <gst/gst.h>
-
#include "gstopencvutils.h"
#include "gstcvsmooth.h"
#include <opencv2/imgproc/imgproc_c.h>
/*
* GStreamer
* Copyright (C) 2010 Thiago Santos <thiago.sousa.santos@collabora.co.uk>
- *
+ *
* Permission is hereby granted, free of charge, to any person obtaining a
* copy of this software and associated documentation files (the "Software"),
* to deal in the Software without restriction, including without limitation
#ifndef __GST_CV_SMOOTH_H__
#define __GST_CV_SMOOTH_H__
-#include <gst/gst.h>
-
#include <gstopencvvideofilter.h>
G_BEGIN_DECLS
gdouble spatialsigma;
};
-struct _GstCvSmoothClass
+struct _GstCvSmoothClass
{
GstOpencvVideoFilterClass parent_class;
};
# include <config.h>
#endif
-#include <gst/gst.h>
-
-#include "gstopencvutils.h"
#include "gstcvsobel.h"
#include <opencv2/imgproc/imgproc_c.h>
/*
* GStreamer
* Copyright (C) 2010 Thiago Santos <thiago.sousa.santos@collabora.co.uk>
- *
+ *
* Permission is hereby granted, free of charge, to any person obtaining a
* copy of this software and associated documentation files (the "Software"),
* to deal in the Software without restriction, including without limitation
#ifndef __GST_CV_SOBEL_H__
#define __GST_CV_SOBEL_H__
-#include <gst/gst.h>
-
#include <gstopencvvideofilter.h>
G_BEGIN_DECLS
gint aperture_size;
};
-struct _GstCvSobelClass
+struct _GstCvSobelClass
{
GstOpencvVideoFilterClass parent_class;
};
* run prefiltering stages to normalize brightness between the inputs, and to maximize texture.
*
* Note that in general is hard to find correspondences between soft textures, for instance a
- * block of gloss blue colour. The output is a gray image with values close to white meaning
+ * block of gloss blue colour. The output is a gray image with values close to white meaning
* closer to the cameras and darker far away. Black means that the pixels were not matched
* correctly (not found). The resulting depth map can be transformed into real world coordinates
* by means of OpenCV function (reprojectImageTo3D) but for this the camera matrixes need to
* be fully known.
*
* Algorithm 1 is the OpenCV Stereo Block Matching, similar to the one developed by Kurt Konolige
- * [A] and that works by using small Sum-of-absolute-differenc (SAD) windows to find matching
+ * [A] and that works by using small Sum-of-absolute-differenc (SAD) windows to find matching
* points between the left and right rectified images. This algorithm finds only strongly matching
* points between both images, this means normally strong textures. In soft textures, such as a
* single coloured wall (as opposed to, f.i. a hairy rug), not all pixels might have correspondence.
*
* Algorithm 2 is the Semi Global Matching (SGM) algorithm [B] which models the scene structure
- * with a point-wise matching cost and an associated smoothness term. The energy minimization
- * is then computed in a multitude of 1D lines. For each point, the disparity corresponding to
- * the minimum aggregated cost is selected. In [B] the author proposes to use 8 or 16 different
- * independent paths. The SGM approach works well near depth discontinuities, but produces less
- * accurate results. Despite its relatively large memory footprint, this method is very fast and
+ * with a point-wise matching cost and an associated smoothness term. The energy minimization
+ * is then computed in a multitude of 1D lines. For each point, the disparity corresponding to
+ * the minimum aggregated cost is selected. In [B] the author proposes to use 8 or 16 different
+ * independent paths. The SGM approach works well near depth discontinuities, but produces less
+ * accurate results. Despite its relatively large memory footprint, this method is very fast and
* potentially robust to complicated textured regions.
*
- * Algorithm 3 is the OpenCV implementation of a modification of the variational stereo
+ * Algorithm 3 is the OpenCV implementation of a modification of the variational stereo
* correspondence algorithm, described in [C].
*
- * Algorithm 4 is the Graph Cut stereo vision algorithm (GC) introduced in [D]; it is a global
+ * Algorithm 4 is the Graph Cut stereo vision algorithm (GC) introduced in [D]; it is a global
* stereo vision method. It calculates depth discontinuities by minimizing an energy function
- * combingin a point-wise matching cost and a smoothness term. The energy function is passed
+ * combingin a point-wise matching cost and a smoothness term. The energy function is passed
* to graph and Graph Cut is used to find a lowest-energy cut. GC is computationally intensive due
* to its global nature and uses loads of memory, but it can deal with textureless regions and
* reflections better than other methods.
*
* Some test images can be found here: http://vision.stanford.edu/~birch/p2p/
*
- * [A] K. Konolige. Small vision system. hardware and implementation. In Proc. International
+ * [A] K. Konolige. Small vision system. hardware and implementation. In Proc. International
* Symposium on Robotics Research, pages 111--116, Hayama, Japan, 1997.
- * [B] H. Hirschmüller, “Accurate and efficient stereo processing by semi-global matching and
- * mutual information,” in Proceedings of the IEEE Conference on Computer Vision and Pattern
+ * [B] H. Hirschmüller, “Accurate and efficient stereo processing by semi-global matching and
+ * mutual information,” in Proceedings of the IEEE Conference on Computer Vision and Pattern
* Recognition, 2005, pp. 807–814.
* [C] S. Kosov, T. Thormaehlen, H.-P. Seidel "Accurate Real-Time Disparity Estimation with
- * Variational Methods" Proceedings of the 5th International Symposium on Visual Computing,
+ * Variational Methods" Proceedings of the 5th International Symposium on Visual Computing,
* Vegas, USA
- * [D] Scharstein, D. & Szeliski, R. (2001). A taxonomy and evaluation of dense two-frame stereo
+ * [D] Scharstein, D. & Szeliski, R. (2001). A taxonomy and evaluation of dense two-frame stereo
* correspondence algorithms, International Journal of Computer Vision 47: 7–42.
*
* <refsect2>
* gst-launch-1.0 videotestsrc ! video/x-raw,width=320,height=240 ! disp0.sink_right videotestsrc ! video/x-raw,width=320,height=240 ! disp0.sink_left disparity name=disp0 ! videoconvert ! ximagesink
* ]|
* Another example, with two png files representing a classical stereo matching,
- * downloadable from http://vision.middlebury.edu/stereo/submit/tsukuba/im4.png and
+ * downloadable from http://vision.middlebury.edu/stereo/submit/tsukuba/im4.png and
* im3.png. Note here they are downloaded in ~ (home).
* |[
gst-launch-1.0 multifilesrc location=~/im3.png ! pngdec ! videoconvert ! disp0.sink_right multifilesrc location=~/im4.png ! pngdec ! videoconvert ! disp0.sink_left disparity name=disp0 method=sbm disp0.src ! videoconvert ! ximagesink
#include <config.h>
#endif
-#include <gst/gst.h>
-#include <gst/video/video.h>
#include <opencv2/contrib/contrib.hpp>
#include "gstdisparity.h"
fs->width, fs->height, fs->actualChannels);
/* Stereo corresponding using semi-global block matching. According to OpenCV:
- "" The class implements modified H. Hirschmuller algorithm HH08 . The main
+ "" The class implements modified H. Hirschmuller algorithm HH08 . The main
differences between the implemented algorithm and the original one are:
- - by default the algorithm is single-pass, i.e. instead of 8 directions we
+ - by default the algorithm is single-pass, i.e. instead of 8 directions we
only consider 5. Set fullDP=true to run the full variant of the algorithm
(which could consume a lot of memory)
- the algorithm matches blocks, not individual pixels (though, by setting
SADWindowSize=1 the blocks are reduced to single pixels)
- mutual information cost function is not implemented. Instead, we use a
- simpler Birchfield-Tomasi sub-pixel metric from BT96 , though the color
+ simpler Birchfield-Tomasi sub-pixel metric from BT96 , though the color
images are supported as well.
- - we include some pre- and post- processing steps from K. Konolige
- algorithm FindStereoCorrespondenceBM , such as pre-filtering
+ - we include some pre- and post- processing steps from K. Konolige
+ algorithm FindStereoCorrespondenceBM , such as pre-filtering
( CV_STEREO_BM_XSOBEL type) and post-filtering (uniqueness check, quadratic
interpolation and speckle filtering) ""
*/
CV_MINMAX, NULL);
cvCvtColor (fs->cvGray_depth_map2, fs->cvRGB_right, CV_GRAY2RGB);
}
- /* Algorithm 1 is the OpenCV Stereo Block Matching, similar to the one
+ /* Algorithm 1 is the OpenCV Stereo Block Matching, similar to the one
developed by Kurt Konolige [A] and that works by using small Sum-of-absolute-
differences (SAD) window. See the comments on top of the file.
*/
run_svar_iteration (fs);
cvCvtColor (fs->cvGray_depth_map2, fs->cvRGB_right, CV_GRAY2RGB);
}
- /* The Graph Cut stereo vision algorithm (GC) introduced in [D] is a global
- stereo vision method. It calculates depth discontinuities by minimizing an
- energy function combingin a point-wise matching cost and a smoothness term.
+ /* The Graph Cut stereo vision algorithm (GC) introduced in [D] is a global
+ stereo vision method. It calculates depth discontinuities by minimizing an
+ energy function combingin a point-wise matching cost and a smoothness term.
See the comments on top of the file.
*/
else if (METHOD_GC == fs->method) {
#define __GST_DISPARITY_H__
#include <gst/gst.h>
+#include <gst/video/video.h>
#include <opencv2/legacy/legacy.hpp>
* Copyright (C) 2005 Thomas Vander Stichele <thomas@apestaart.org>
* Copyright (C) 2005 Ronald S. Bultje <rbultje@ronald.bitfreak.net>
* Copyright (C) 2008 Michael Sheldon <mike@mikeasoft.com>
- *
+ *
* Permission is hereby granted, free of charge, to any person obtaining a
* copy of this software and associated documentation files (the "Software"),
* to deal in the Software without restriction, including without limitation
# include <config.h>
#endif
-#include <gst/gst.h>
-
-#include "gstopencvutils.h"
#include "gstedgedetect.h"
#include <opencv2/imgproc/imgproc_c.h>
* Copyright (C) 2005 Thomas Vander Stichele <thomas@apestaart.org>
* Copyright (C) 2005 Ronald S. Bultje <rbultje@ronald.bitfreak.net>
* Copyright (C) 2008 Michael Sheldon <mike@mikeasoft.com>
- *
+ *
* Permission is hereby granted, free of charge, to any person obtaining a
* copy of this software and associated documentation files (the "Software"),
* to deal in the Software without restriction, including without limitation
#define __GST_EDGE_DETECT_H__
#include <gst/gst.h>
+#include <gst/video/video.h>
#include <opencv2/core/core_c.h>
G_BEGIN_DECLS
* Copyright (C) 2005 Ronald S. Bultje <rbultje@ronald.bitfreak.net>
* Copyright (C) 2008 Michael Sheldon <mike@mikeasoft.com>
* Copyright (C) 2011 Robert Jobbagy <jobbagy.robert@gmail.com>
- *
+ *
* Permission is hereby granted, free of charge, to any person obtaining a
* copy of this software and associated documentation files (the "Software"),
* to deal in the Software without restriction, including without limitation
# include <config.h>
#endif
-#include <gst/gst.h>
#include <vector>
-#include "gstopencvutils.h"
#include "gstfaceblur.h"
#include <opencv2/imgproc/imgproc_c.h>
#include <opencv2/imgproc/imgproc.hpp>
* Copyright (C) 2005 Ronald S. Bultje <rbultje@ronald.bitfreak.net>
* Copyright (C) 2008 Michael Sheldon <mike@mikeasoft.com>
* Copyright (C) 2011 Robert Jobbagy <jobbagy.robert@gmail.com>
- *
+ *
* Permission is hereby granted, free of charge, to any person obtaining a
* copy of this software and associated documentation files (the "Software"),
* to deal in the Software without restriction, including without limitation
# include <config.h>
#endif
-#include <gst/gst.h>
-#include <gst/video/gstvideometa.h>
#include <vector>
-#include "gstopencvutils.h"
#include "gstfacedetect.h"
#include <opencv2/imgproc/imgproc_c.h>
}
}
-/*
+/*
* Performs the face detection
*/
static GstFlowReturn
/*
* GStreamer
* Copyright (C) 2013 Miguel Casas-Sanchez <miguelecasassanchez@gmail.com>
- *
+ *
* Permission is hereby granted, free of charge, to any person obtaining a
* copy of this software and associated documentation files (the "Software"),
* to deal in the Software without restriction, including without limitation
* This element is a wrapper around OpenCV grabcut implementation. GrabCut is an
* image segmentation method based on graph cuts technique. It can be seen as a
* way of fine-grain segmenting the image from some FG and BG "seed" areas. The
- * OpenCV implementation follows the article [1].
+ * OpenCV implementation follows the article [1].
* The "seed" areas are taken in this element from either an input bounding box
* coming from a face detection, or from alpha channel values. The input box is
- * taken from a "face" event such as the one generated from the 'facedetect'
- * element. The Alpha channel values should be one of the following (cv.hpp):
- * enum{
+ * taken from a "face" event such as the one generated from the 'facedetect'
+ * element. The Alpha channel values should be one of the following (cv.hpp):
+ * enum{
* GC_BGD = 0, //!< background
* GC_FGD = 1, //!< foreground
* GC_PR_BGD = 2, //!< most probably background
* GC_PR_FGD = 3 //!< most probably foreground
* };
* with values over GC_PR_FGD interpreted as GC_PR_FGD. IN CASE OF no alpha mask
- * input (all 0's or all 1's), the 'GstOpenCvFaceDetect-face' downstream event
+ * input (all 0's or all 1's), the 'GstOpenCvFaceDetect-face' downstream event
* is used to create a bbox of PR_FG elements. If both foreground alpha
* is not specified and there is no face detection, nothing is done.
*
- * [1] C. Rother, V. Kolmogorov, and A. Blake, "GrabCut: Interactive foreground
+ * [1] C. Rother, V. Kolmogorov, and A. Blake, "GrabCut: Interactive foreground
* extraction using iterated graph cuts, ACM Trans. Graph., vol. 23, pp. 309–314,
* 2004.
*
#include <config.h>
#endif
-#include <gst/gst.h>
#include "gstgrabcut.h"
extern "C"
{
-#include <gst/video/gstvideometa.h>
#include <opencv2/imgproc/imgproc_c.h>
}
#include <opencv2/imgproc/imgproc.hpp>
cvCvtColor (gc->cvRGBAin, gc->cvRGBin, CV_BGRA2BGR);
compose_matrix_from_image (gc->grabcut_mask, gc->cvD);
- /* Pass cvD to grabcut_mask for the graphcut stuff but that only if
- really there is something in the mask! otherwise -->input bbox is
+ /* Pass cvD to grabcut_mask for the graphcut stuff but that only if
+ really there is something in the mask! otherwise -->input bbox is
what we use */
alphapixels = cvCountNonZero (gc->cvD);
if ((0 < alphapixels) && (alphapixels < (gc->width * gc->height))) {
/* element header */
#include "gsthanddetect.h"
-#include "gstopencvutils.h"
#include <opencv2/imgproc/imgproc_c.h>
GST_DEBUG_CATEGORY_STATIC (gst_handdetect_debug);
#ifndef __GST_HANDDETECT_H__
#define __GST_HANDDETECT_H__
-#include <gst/gst.h>
-#include <gst/video/video.h>
-#include <gst/video/navigation.h>
-
#include <cv.h>
#include "gstopencvvideofilter.h"
# include <config.h>
#endif
-#include <stdio.h>
-#include <string.h>
-#include <sys/time.h>
-#include <time.h>
-#include <limits.h>
-
-#include <glib.h>
#include "gstmotioncells.h"
-#include <gst/video/video.h>
GST_DEBUG_CATEGORY_STATIC (gst_motion_cells_debug);
#define GST_CAT_DEFAULT gst_motion_cells_debug
* GStreamer
* Copyright (C) 2011 Robert Jobbagy <jobbagy.robert@gmail.com>
* Copyright (C) 2011 Nicola Murino <nicola.murino@gmail.com>
- *
+ *
* Permission is hereby granted, free of charge, to any person obtaining a
* copy of this software and associated documentation files (the "Software"),
* to deal in the Software without restriction, including without limitation
#define __GST_MOTIONCELLS_H__
#include <gst/gst.h>
+#include <gst/video/video.h>
#include <opencv2/core/core_c.h>
#include "motioncells_wrapper.h"
# include <config.h>
#endif
-#include <gst/gst.h>
-
#include "gstopencvvideofilter.h"
#include "gstopencvutils.h"
# include <config.h>
#endif
-#include <gst/gst.h>
-
-#include "gstopencvutils.h"
#include "gstpyramidsegment.h"
#define BLOCK_SIZE 1000
* Copyright (C) 2005 Thomas Vander Stichele <thomas@apestaart.org>
* Copyright (C) 2005 Ronald S. Bultje <rbultje@ronald.bitfreak.net>
* Copyright (C) 2008 Michael Sheldon <mike@mikeasoft.com>
- *
+ *
* Permission is hereby granted, free of charge, to any person obtaining a
* copy of this software and associated documentation files (the "Software"),
* to deal in the Software without restriction, including without limitation
#define __GST_PYRAMID_SEGMENT_H__
#include <gst/gst.h>
+#include <gst/video/video.h>
#include <opencv2/core/version.hpp>
#if CV_MAJOR_VERSION * 100 + CV_MINOR_VERSION >= 204
/*
* GStreamer
* Copyright (C) 2013 Miguel Casas-Sanchez <miguelecasassanchez@gmail.com>
- *
+ *
* Permission is hereby granted, free of charge, to any person obtaining a
* copy of this software and associated documentation files (the "Software"),
* to deal in the Software without restriction, including without limitation
*
* Basic and multiscale retinex for colour image enhancement, see article:
*
- * Rahman, Zia-ur, Daniel J. Jobson, and Glenn A. Woodell. "Multi-scale retinex for
- * color image enhancement." Image Processing, 1996. Proceedings., International
+ * Rahman, Zia-ur, Daniel J. Jobson, and Glenn A. Woodell. "Multi-scale retinex for
+ * color image enhancement." Image Processing, 1996. Proceedings., International
* Conference on. Vol. 3. IEEE, 1996.
*
* <refsect2>
#include <config.h>
#endif
-#include <gst/gst.h>
#include "gstretinex.h"
#include <opencv2/imgproc/imgproc_c.h>
#include <opencv2/imgproc/imgproc.hpp>
/* Basic retinex restoration. The image and a filtered image are converted
to the log domain and subtracted.
- O = Log(I) - Log(H(I))
+ O = Log(I) - Log(H(I))
where O is the output, H is a gaussian 2d filter and I is the input image. */
if (METHOD_BASIC == retinex->method) {
/* Compute log image */
/*
* GStreamer
* Copyright (C) 2013 Miguel Casas-Sanchez <miguelecasassanchez@gmail.com>
- *
+ *
* Permission is hereby granted, free of charge, to any person obtaining a
* copy of this software and associated documentation files (the "Software"),
* to deal in the Software without restriction, including without limitation
#ifndef __GST_RETINEX_H__
#define __GST_RETINEX_H__
-#include <gst/gst.h>
-#include <gst/video/video.h>
-#include <gst/video/gstvideofilter.h>
#include <opencv2/core/core_c.h>
#include <gstopencvvideofilter.h>
/*
* GStreamer
* Copyright (C) 2013 Miguel Casas-Sanchez <miguelecasassanchez@gmail.com>
- * Except: Parts of code inside the preprocessor define CODE_FROM_OREILLY_BOOK,
- * which are downloaded from O'Reilly website
+ * Except: Parts of code inside the preprocessor define CODE_FROM_OREILLY_BOOK,
+ * which are downloaded from O'Reilly website
* [http://examples.oreilly.com/9780596516130/]
* and adapted. Its license reads:
* "Oct. 3, 2008
- * Right to use this code in any way you want without warrenty, support or
+ * Right to use this code in any way you want without warrenty, support or
* any guarentee of it working. "
*
- *
+ *
* Permission is hereby granted, free of charge, to any person obtaining a
* copy of this software and associated documentation files (the "Software"),
* to deal in the Software without restriction, including without limitation
*
* This element creates and updates a fg/bg model using one of several approaches.
* The one called "codebook" refers to the codebook approach following the opencv
- * O'Reilly book [1] implementation of the algorithm described in K. Kim,
- * T. H. Chalidabhongse, D. Harwood and L. Davis [2]. BackgroundSubtractorMOG [3],
- * or MOG for shorts, refers to a Gaussian Mixture-based Background/Foreground
+ * O'Reilly book [1] implementation of the algorithm described in K. Kim,
+ * T. H. Chalidabhongse, D. Harwood and L. Davis [2]. BackgroundSubtractorMOG [3],
+ * or MOG for shorts, refers to a Gaussian Mixture-based Background/Foreground
* Segmentation Algorithm. OpenCV MOG implements the algorithm described in [4].
- * BackgroundSubtractorMOG2 [5], refers to another Gaussian Mixture-based
- * Background/Foreground segmentation algorithm. OpenCV MOG2 implements the
+ * BackgroundSubtractorMOG2 [5], refers to another Gaussian Mixture-based
+ * Background/Foreground segmentation algorithm. OpenCV MOG2 implements the
* algorithm described in [6] and [7].
*
- * [1] Learning OpenCV: Computer Vision with the OpenCV Library by Gary Bradski
+ * [1] Learning OpenCV: Computer Vision with the OpenCV Library by Gary Bradski
* and Adrian Kaehler, Published by O'Reilly Media, October 3, 2008
- * [2] "Real-time Foreground-Background Segmentation using Codebook Model",
+ * [2] "Real-time Foreground-Background Segmentation using Codebook Model",
* Real-time Imaging, Volume 11, Issue 3, Pages 167-256, June 2005.
* [3] http://opencv.itseez.com/modules/video/doc/motion_analysis_and_object_tracking.html#backgroundsubtractormog
- * [4] P. KadewTraKuPong and R. Bowden, "An improved adaptive background
- * mixture model for real-time tracking with shadow detection", Proc. 2nd
+ * [4] P. KadewTraKuPong and R. Bowden, "An improved adaptive background
+ * mixture model for real-time tracking with shadow detection", Proc. 2nd
* European Workshop on Advanced Video-Based Surveillance Systems, 2001
* [5] http://opencv.itseez.com/modules/video/doc/motion_analysis_and_object_tracking.html#backgroundsubtractormog2
- * [6] Z.Zivkovic, "Improved adaptive Gausian mixture model for background
+ * [6] Z.Zivkovic, "Improved adaptive Gausian mixture model for background
* subtraction", International Conference Pattern Recognition, UK, August, 2004.
- * [7] Z.Zivkovic, F. van der Heijden, "Efficient Adaptive Density Estimation
- * per Image Pixel for the Task of Background Subtraction", Pattern Recognition
+ * [7] Z.Zivkovic, F. van der Heijden, "Efficient Adaptive Density Estimation
+ * per Image Pixel for the Task of Background Subtraction", Pattern Recognition
* Letters, vol. 27, no. 7, pages 773-780, 2006.
*
* <refsect2>
#include <config.h>
#endif
-#include <gst/gst.h>
-
#include "gstsegmentation.h"
#include <opencv2/video/background_segm.hpp>
#include <opencv2/imgproc/imgproc_c.h>
cvCvtColor (filter->cvRGBA, filter->cvRGB, CV_RGBA2RGB);
cvCvtColor (filter->cvRGB, filter->cvYUV, CV_RGB2YCrCb);
- /* Create and update a fg/bg model using a codebook approach following the
+ /* Create and update a fg/bg model using a codebook approach following the
* opencv O'Reilly book [1] implementation of the algo described in [2].
*
- * [1] Learning OpenCV: Computer Vision with the OpenCV Library by Gary
+ * [1] Learning OpenCV: Computer Vision with the OpenCV Library by Gary
* Bradski and Adrian Kaehler, Published by O'Reilly Media, October 3, 2008
- * [2] "Real-time Foreground-Background Segmentation using Codebook Model",
+ * [2] "Real-time Foreground-Background Segmentation using Codebook Model",
* Real-time Imaging, Volume 11, Issue 3, Pages 167-256, June 2005. */
if (METHOD_BOOK == filter->method) {
unsigned cbBounds[3] = { 10, 5, 5 };
filter->mem_storage, filter->contours);
}
- /* Create the foreground and background masks using BackgroundSubtractorMOG [1],
- * Gaussian Mixture-based Background/Foreground segmentation algorithm. OpenCV
+ /* Create the foreground and background masks using BackgroundSubtractorMOG [1],
+ * Gaussian Mixture-based Background/Foreground segmentation algorithm. OpenCV
* MOG implements the algorithm described in [2].
- *
+ *
* [1] http://opencv.itseez.com/modules/video/doc/motion_analysis_and_object_tracking.html#backgroundsubtractormog
- * [2] P. KadewTraKuPong and R. Bowden, "An improved adaptive background
- * mixture model for real-time tracking with shadow detection", Proc. 2nd
+ * [2] P. KadewTraKuPong and R. Bowden, "An improved adaptive background
+ * mixture model for real-time tracking with shadow detection", Proc. 2nd
* European Workshop on Advanced Video-Based Surveillance Systems, 2001
*/
else if (METHOD_MOG == filter->method) {
run_mog_iteration (filter);
}
/* Create the foreground and background masks using BackgroundSubtractorMOG2
- * [1], Gaussian Mixture-based Background/Foreground segmentation algorithm.
+ * [1], Gaussian Mixture-based Background/Foreground segmentation algorithm.
* OpenCV MOG2 implements the algorithm described in [2] and [3].
- *
+ *
* [1] http://opencv.itseez.com/modules/video/doc/motion_analysis_and_object_tracking.html#backgroundsubtractormog2
- * [2] Z.Zivkovic, "Improved adaptive Gausian mixture model for background
+ * [2] Z.Zivkovic, "Improved adaptive Gausian mixture model for background
* subtraction", International Conference Pattern Recognition, UK, Aug 2004.
- * [3] Z.Zivkovic, F. van der Heijden, "Efficient Adaptive Density Estimation
- * per Image Pixel for the Task of Background Subtraction", Pattern
+ * [3] Z.Zivkovic, F. van der Heijden, "Efficient Adaptive Density Estimation
+ * per Image Pixel for the Task of Background Subtraction", Pattern
* Recognition Letters, vol. 27, no. 7, pages 773-780, 2006. */
else if (METHOD_MOG2 == filter->method) {
run_mog2_iteration (filter);
#ifdef CODE_FROM_OREILLY_BOOK /* See license at the beginning of the page */
-/*
- int update_codebook(uchar *p, codeBook &c, unsigned cbBounds)
- Updates the codebook entry with a new data point
-
- p Pointer to a YUV or HSI pixel
- c Codebook for this pixel
- cbBounds Learning bounds for codebook (Rule of thumb: 10)
- numChannels Number of color channels we¡¯re learning
-
- NOTES:
- cvBounds must be of length equal to numChannels
-
- RETURN
- codebook index
+/*
+ int update_codebook(uchar *p, codeBook &c, unsigned cbBounds)
+ Updates the codebook entry with a new data point
+
+ p Pointer to a YUV or HSI pixel
+ c Codebook for this pixel
+ cbBounds Learning bounds for codebook (Rule of thumb: 10)
+ numChannels Number of color channels we¡¯re learning
+
+ NOTES:
+ cvBounds must be of length equal to numChannels
+
+ RETURN
+ codebook index
*/
int
update_codebook (unsigned char *p, codeBook * c, unsigned *cbBounds,
/*
- int clear_stale_entries(codeBook &c)
- During learning, after you've learned for some period of time,
- periodically call this to clear out stale codebook entries
-
- c Codebook to clean up
-
- Return
- number of entries cleared
+ int clear_stale_entries(codeBook &c)
+ During learning, after you've learned for some period of time,
+ periodically call this to clear out stale codebook entries
+
+ c Codebook to clean up
+
+ Return
+ number of entries cleared
*/
int
clear_stale_entries (codeBook * c)
/*
- uchar background_diff( uchar *p, codeBook &c,
- int minMod, int maxMod)
- Given a pixel and a codebook, determine if the pixel is
- covered by the codebook
-
- p Pixel pointer (YUV interleaved)
- c Codebook reference
- numChannels Number of channels we are testing
- maxMod Add this (possibly negative) number onto
-
- max level when determining if new pixel is foreground
- minMod Subract this (possibly negative) number from
- min level when determining if new pixel is foreground
-
- NOTES:
- minMod and maxMod must have length numChannels,
- e.g. 3 channels => minMod[3], maxMod[3]. There is one min and
- one max threshold per channel.
-
- Return
- 0 => background, 255 => foreground
+ uchar background_diff( uchar *p, codeBook &c,
+ int minMod, int maxMod)
+ Given a pixel and a codebook, determine if the pixel is
+ covered by the codebook
+
+ p Pixel pointer (YUV interleaved)
+ c Codebook reference
+ numChannels Number of channels we are testing
+ maxMod Add this (possibly negative) number onto
+
+ max level when determining if new pixel is foreground
+ minMod Subract this (possibly negative) number from
+ min level when determining if new pixel is foreground
+
+ NOTES:
+ minMod and maxMod must have length numChannels,
+ e.g. 3 channels => minMod[3], maxMod[3]. There is one min and
+ one max threshold per channel.
+
+ Return
+ 0 => background, 255 => foreground
*/
unsigned char
background_diff (unsigned char *p, codeBook * c, int numChannels,
(uchar *) filter->cvFG->imageData;
/*
- BackgroundSubtractorMOG [1], Gaussian Mixture-based Background/Foreground
+ BackgroundSubtractorMOG [1], Gaussian Mixture-based Background/Foreground
Segmentation Algorithm. OpenCV MOG implements the algorithm described in [2].
[1] http://opencv.itseez.com/modules/video/doc/motion_analysis_and_object_tracking.html#backgroundsubtractormog
- [2] P. KadewTraKuPong and R. Bowden, "An improved adaptive background
- mixture model for real-time tracking with shadow detection", Proc. 2nd
+ [2] P. KadewTraKuPong and R. Bowden, "An improved adaptive background
+ mixture model for real-time tracking with shadow detection", Proc. 2nd
European Workshop on Advanced Video-Based Surveillance Systems, 2001
*/
(uchar *) filter->cvFG->imageData;
/*
- BackgroundSubtractorMOG2 [1], Gaussian Mixture-based Background/Foreground
- segmentation algorithm. OpenCV MOG2 implements the algorithm described in
+ BackgroundSubtractorMOG2 [1], Gaussian Mixture-based Background/Foreground
+ segmentation algorithm. OpenCV MOG2 implements the algorithm described in
[2] and [3].
[1] http://opencv.itseez.com/modules/video/doc/motion_analysis_and_object_tracking.html#backgroundsubtractormog2
- [2] Z.Zivkovic, "Improved adaptive Gausian mixture model for background
+ [2] Z.Zivkovic, "Improved adaptive Gausian mixture model for background
subtraction", International Conference Pattern Recognition, UK, August, 2004.
- [3] Z.Zivkovic, F. van der Heijden, "Efficient Adaptive Density Estimation per
- Image Pixel for the Task of Background Subtraction", Pattern Recognition
+ [3] Z.Zivkovic, F. van der Heijden, "Efficient Adaptive Density Estimation per
+ Image Pixel for the Task of Background Subtraction", Pattern Recognition
Letters, vol. 27, no. 7, pages 773-780, 2006.
*/
/*
* GStreamer
* Copyright (C) 2013 Miguel Casas-Sanchez <miguelecasassanchez@gmail.com>
- *
+ *
* Permission is hereby granted, free of charge, to any person obtaining a
* copy of this software and associated documentation files (the "Software"),
* to deal in the Software without restriction, including without limitation
#include <config.h>
#endif
-#include <gst/gst.h>
-
-#include "gstopencvutils.h"
#include "gstskindetect.h"
#include <opencv2/imgproc/imgproc_c.h>
#include <opencv2/legacy/compat.hpp>
cvCvtColor (filter->cvRGB, filter->cvHSV, CV_RGB2HSV);
cvCvtPixToPlane (filter->cvHSV, filter->cvH, filter->cvS, filter->cvV, 0); /* Extract the 3 color components. */
- /* Detect which pixels in each of the H, S and V channels are probably skin pixels.
+ /* Detect which pixels in each of the H, S and V channels are probably skin pixels.
Assume that skin has a Hue between 0 to 18 (out of 180), and Saturation above 50, and Brightness above 80. */
cvThreshold (filter->cvH, filter->cvH2, 10, UCHAR_MAX, CV_THRESH_BINARY); /* (hue > 10) */
cvThreshold (filter->cvH, filter->cvH, 20, UCHAR_MAX, CV_THRESH_BINARY_INV); /* (hue < 20) */
/* erode the HUE to get rid of noise. */
cvErode (filter->cvH, filter->cvH, NULL, 1);
- /* Combine all 3 thresholded color components, so that an output pixel will only
+ /* Combine all 3 thresholded color components, so that an output pixel will only
be white (255) if the H, S and V pixels were also white.
imageSkin = (hue > 10) ^ (hue < 20) ^ (sat > 48) ^ (val > 80), where ^ mean pixels-wise AND */
cvAnd (filter->cvH, filter->cvS, filter->cvSkinPixels1, NULL);
cvCvtColor (filter->cvdraft, filter->cvRGB, CV_GRAY2RGB);
}
- /* After this we have a RGB Black and white image with the skin, in
+ /* After this we have a RGB Black and white image with the skin, in
filter->cvRGB. We can postprocess by applying 1 erode-dilate and 1
dilate-erode, or alternatively 1 opening-closing all together, with
the goal of removing small (spurious) skin spots and creating large
* Copyright (C) 2005 Thomas Vander Stichele <thomas@apestaart.org>
* Copyright (C) 2005 Ronald S. Bultje <rbultje@ronald.bitfreak.net>
* Copyright (C) 2008 Michael Sheldon <mike@mikeasoft.com>
- *
+ *
* Permission is hereby granted, free of charge, to any person obtaining a
* copy of this software and associated documentation files (the "Software"),
* to deal in the Software without restriction, including without limitation
#ifndef __GST_SKIN_DETECT_H__
#define __GST_SKIN_DETECT_H__
-#include <gst/gst.h>
-
#include <gstopencvvideofilter.h>
G_BEGIN_DECLS
# include <config.h>
#endif
-#include <gst/gst.h>
-
#include "../../gst-libs/gst/gst-i18n-plugin.h"
-#include "gstopencvutils.h"
#include "gsttemplatematch.h"
#include <opencv2/imgproc/imgproc_c.h>
* Copyright (C) 2005 Thomas Vander Stichele <thomas@apestaart.org>
* Copyright (C) 2005 Ronald S. Bultje <rbultje@ronald.bitfreak.net>
* Copyright (C) 2008 Michael Sheldon <mike@mikeasoft.com>
- *
+ *
* Permission is hereby granted, free of charge, to any person obtaining a
* copy of this software and associated documentation files (the "Software"),
* to deal in the Software without restriction, including without limitation
#define __GST_TEMPLATE_MATCH_H__
#include <gst/gst.h>
+#include <gst/video/video.h>
#ifdef HAVE_HIGHGUI_H
#include <highgui.h> // includes highGUI definitions
# include <config.h>
#endif
-#include <gst/gst.h>
-
-#include "gstopencvutils.h"
#include "gsttextoverlay.h"
GST_DEBUG_CATEGORY_STATIC (gst_opencv_text_overlay_debug);
* Copyright (C) 2005 Thomas Vander Stichele <thomas@apestaart.org>
* Copyright (C) 2005 Ronald S. Bultje <rbultje@ronald.bitfreak.net>
* Copyright (C) 2010 Sreerenj Balachandran <bsreerenj@gmail.com>
- *
+ *
* Permission is hereby granted, free of charge, to any person obtaining a
* copy of this software and associated documentation files (the "Software"),
* to deal in the Software without restriction, including without limitation
#define __GST_OPENCV_TEXT_OVERLAY_H__
#include <gst/gst.h>
-#include "gstopencvutils.h"
+#include <gst/video/video.h>
#include <opencv2/core/core_c.h>
G_BEGIN_DECLS
GstPad *sinkpad, *srcpad;
IplImage *cvImage;
- CvFont font;
+ CvFont font;
gint xpos;
gint ypos;
};
-struct _GstOpencvTextOverlayClass
+struct _GstOpencvTextOverlayClass
{
GstElementClass parent_class;
};
projects / platform / upstream / gstreamer.git / commitdiff