openCV library for Renesas RZ/A

Dependents:   RZ_A2M_Mbed_samples

Revision:
0:0e0631af0305
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/include/opencv2/objdetect/objdetect_c.h	Fri Jan 29 04:53:38 2021 +0000
@@ -0,0 +1,165 @@
+/*M///////////////////////////////////////////////////////////////////////////////////////
+//
+//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+//
+//  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
+//
+// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
+// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
+// 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:
+//
+//   * Redistribution's of source code must retain the above copyright notice,
+//     this list of conditions and the following disclaimer.
+//
+//   * Redistribution's 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.
+//
+//   * The name of the copyright holders may not 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 the Intel Corporation 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.
+//
+//M*/
+
+#ifndef OPENCV_OBJDETECT_C_H
+#define OPENCV_OBJDETECT_C_H
+
+#include "opencv2/core/core_c.h"
+
+#ifdef __cplusplus
+#include <deque>
+#include <vector>
+
+extern "C" {
+#endif
+
+/** @addtogroup objdetect_c
+  @{
+  */
+
+/****************************************************************************************\
+*                         Haar-like Object Detection functions                           *
+\****************************************************************************************/
+
+#define CV_HAAR_MAGIC_VAL    0x42500000
+#define CV_TYPE_NAME_HAAR    "opencv-haar-classifier"
+
+#define CV_IS_HAAR_CLASSIFIER( haar )                                                    \
+    ((haar) != NULL &&                                                                   \
+    (((const CvHaarClassifierCascade*)(haar))->flags & CV_MAGIC_MASK)==CV_HAAR_MAGIC_VAL)
+
+#define CV_HAAR_FEATURE_MAX  3
+
+typedef struct CvHaarFeature
+{
+    int tilted;
+    struct
+    {
+        CvRect r;
+        float weight;
+    } rect[CV_HAAR_FEATURE_MAX];
+} CvHaarFeature;
+
+typedef struct CvHaarClassifier
+{
+    int count;
+    CvHaarFeature* haar_feature;
+    float* threshold;
+    int* left;
+    int* right;
+    float* alpha;
+} CvHaarClassifier;
+
+typedef struct CvHaarStageClassifier
+{
+    int  count;
+    float threshold;
+    CvHaarClassifier* classifier;
+
+    int next;
+    int child;
+    int parent;
+} CvHaarStageClassifier;
+
+typedef struct CvHidHaarClassifierCascade CvHidHaarClassifierCascade;
+
+typedef struct CvHaarClassifierCascade
+{
+    int  flags;
+    int  count;
+    CvSize orig_window_size;
+    CvSize real_window_size;
+    double scale;
+    CvHaarStageClassifier* stage_classifier;
+    CvHidHaarClassifierCascade* hid_cascade;
+} CvHaarClassifierCascade;
+
+typedef struct CvAvgComp
+{
+    CvRect rect;
+    int neighbors;
+} CvAvgComp;
+
+/* Loads haar classifier cascade from a directory.
+   It is obsolete: convert your cascade to xml and use cvLoad instead */
+CVAPI(CvHaarClassifierCascade*) cvLoadHaarClassifierCascade(
+                    const char* directory, CvSize orig_window_size);
+
+CVAPI(void) cvReleaseHaarClassifierCascade( CvHaarClassifierCascade** cascade );
+
+#define CV_HAAR_DO_CANNY_PRUNING    1
+#define CV_HAAR_SCALE_IMAGE         2
+#define CV_HAAR_FIND_BIGGEST_OBJECT 4
+#define CV_HAAR_DO_ROUGH_SEARCH     8
+
+CVAPI(CvSeq*) cvHaarDetectObjects( const CvArr* image,
+                     CvHaarClassifierCascade* cascade, CvMemStorage* storage,
+                     double scale_factor CV_DEFAULT(1.1),
+                     int min_neighbors CV_DEFAULT(3), int flags CV_DEFAULT(0),
+                     CvSize min_size CV_DEFAULT(cvSize(0,0)), CvSize max_size CV_DEFAULT(cvSize(0,0)));
+
+/* sets images for haar classifier cascade */
+CVAPI(void) cvSetImagesForHaarClassifierCascade( CvHaarClassifierCascade* cascade,
+                                                const CvArr* sum, const CvArr* sqsum,
+                                                const CvArr* tilted_sum, double scale );
+
+/* runs the cascade on the specified window */
+CVAPI(int) cvRunHaarClassifierCascade( const CvHaarClassifierCascade* cascade,
+                                       CvPoint pt, int start_stage CV_DEFAULT(0));
+
+/** @} objdetect_c */
+
+#ifdef __cplusplus
+}
+
+CV_EXPORTS CvSeq* cvHaarDetectObjectsForROC( const CvArr* image,
+                     CvHaarClassifierCascade* cascade, CvMemStorage* storage,
+                     std::vector<int>& rejectLevels, std::vector<double>& levelWeightds,
+                     double scale_factor = 1.1,
+                     int min_neighbors = 3, int flags = 0,
+                     CvSize min_size = cvSize(0, 0), CvSize max_size = cvSize(0, 0),
+                     bool outputRejectLevels = false );
+
+#endif
+
+#endif /* OPENCV_OBJDETECT_C_H */