/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
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// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
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// Copyright (C) 2013, OpenCV Foundation, all rights reserved.
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// Third party copyrights are property of their respective owners.
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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// This software is provided by the copyright holders and contributors "as is" and
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//M*/
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#ifndef OPENCV_OBJDETECT_C_H
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#define OPENCV_OBJDETECT_C_H
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#include "opencv2/core/core_c.h"
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#ifdef __cplusplus
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#include <deque>
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#include <vector>
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extern "C" {
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#endif
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/** @addtogroup objdetect_c
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@{
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*/
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/****************************************************************************************\
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* Haar-like Object Detection functions *
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\****************************************************************************************/
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#define CV_HAAR_MAGIC_VAL 0x42500000
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#define CV_TYPE_NAME_HAAR "opencv-haar-classifier"
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#define CV_IS_HAAR_CLASSIFIER( haar ) \
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((haar) != NULL && \
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(((const CvHaarClassifierCascade*)(haar))->flags & CV_MAGIC_MASK)==CV_HAAR_MAGIC_VAL)
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#define CV_HAAR_FEATURE_MAX 3
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#define CV_HAAR_STAGE_MAX 1000
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typedef struct CvHaarFeature
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{
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int tilted;
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struct
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{
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CvRect r;
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float weight;
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} rect[CV_HAAR_FEATURE_MAX];
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} CvHaarFeature;
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typedef struct CvHaarClassifier
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{
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int count;
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CvHaarFeature* haar_feature;
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float* threshold;
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int* left;
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int* right;
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float* alpha;
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} CvHaarClassifier;
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typedef struct CvHaarStageClassifier
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{
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int count;
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float threshold;
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CvHaarClassifier* classifier;
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int next;
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int child;
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int parent;
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} CvHaarStageClassifier;
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typedef struct CvHidHaarClassifierCascade CvHidHaarClassifierCascade;
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typedef struct CvHaarClassifierCascade
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{
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int flags;
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int count;
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CvSize orig_window_size;
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CvSize real_window_size;
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double scale;
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CvHaarStageClassifier* stage_classifier;
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CvHidHaarClassifierCascade* hid_cascade;
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} CvHaarClassifierCascade;
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typedef struct CvAvgComp
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{
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CvRect rect;
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int neighbors;
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} CvAvgComp;
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/* Loads haar classifier cascade from a directory.
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It is obsolete: convert your cascade to xml and use cvLoad instead */
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CVAPI(CvHaarClassifierCascade*) cvLoadHaarClassifierCascade(
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const char* directory, CvSize orig_window_size);
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CVAPI(void) cvReleaseHaarClassifierCascade( CvHaarClassifierCascade** cascade );
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#define CV_HAAR_DO_CANNY_PRUNING 1
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#define CV_HAAR_SCALE_IMAGE 2
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#define CV_HAAR_FIND_BIGGEST_OBJECT 4
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#define CV_HAAR_DO_ROUGH_SEARCH 8
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CVAPI(CvSeq*) cvHaarDetectObjects( const CvArr* image,
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CvHaarClassifierCascade* cascade, CvMemStorage* storage,
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double scale_factor CV_DEFAULT(1.1),
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int min_neighbors CV_DEFAULT(3), int flags CV_DEFAULT(0),
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CvSize min_size CV_DEFAULT(cvSize(0,0)), CvSize max_size CV_DEFAULT(cvSize(0,0)));
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/* sets images for haar classifier cascade */
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CVAPI(void) cvSetImagesForHaarClassifierCascade( CvHaarClassifierCascade* cascade,
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const CvArr* sum, const CvArr* sqsum,
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const CvArr* tilted_sum, double scale );
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/* runs the cascade on the specified window */
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CVAPI(int) cvRunHaarClassifierCascade( const CvHaarClassifierCascade* cascade,
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CvPoint pt, int start_stage CV_DEFAULT(0));
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/** @} objdetect_c */
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#ifdef __cplusplus
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}
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CV_EXPORTS CvSeq* cvHaarDetectObjectsForROC( const CvArr* image,
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CvHaarClassifierCascade* cascade, CvMemStorage* storage,
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std::vector<int>& rejectLevels, std::vector<double>& levelWeightds,
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double scale_factor = 1.1,
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int min_neighbors = 3, int flags = 0,
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CvSize min_size = cvSize(0, 0), CvSize max_size = cvSize(0, 0),
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bool outputRejectLevels = false );
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#endif
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#endif /* OPENCV_OBJDETECT_C_H */
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