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authorshamikam2017-01-16 02:56:17 +0530
committershamikam2017-01-16 02:56:17 +0530
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treee806e966b06a53388fb300d89534354b222c2cad /thirdparty/linux/include/opencv2/face/predict_collector.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) 2000-2015, Intel Corporation, all rights reserved.
+Copyright (C) 2009-2011, Willow Garage Inc., all rights reserved.
+Copyright (C) 2009-2015, NVIDIA Corporation, all rights reserved.
+Copyright (C) 2010-2013, Advanced Micro Devices, Inc., all rights reserved.
+Copyright (C) 2015, OpenCV Foundation, all rights reserved.
+Copyright (C) 2015, Itseez Inc., 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.
+*/
+
+#ifndef __OPENCV_PREDICT_COLLECTOR_HPP__
+#define __OPENCV_PREDICT_COLLECTOR_HPP__
+
+#include <vector>
+#include <map>
+#include <utility>
+#include <cfloat>
+
+#include "opencv2/core/cvstd.hpp"
+
+namespace cv {
+namespace face {
+//! @addtogroup face
+//! @{
+/** @brief Abstract base class for all strategies of prediction result handling
+*/
+class CV_EXPORTS_W PredictCollector
+{
+public:
+ virtual ~PredictCollector() {}
+
+ /** @brief Interface method called by face recognizer before results processing
+ @param size total size of prediction evaluation that recognizer could perform
+ */
+ virtual void init(size_t size) { (void)size; }
+
+ /** @brief Interface method called by face recognizer for each result
+ @param label current prediction label
+ @param dist current prediction distance (confidence)
+ */
+ virtual bool collect(int label, double dist) = 0;
+};
+
+/** @brief Default predict collector
+
+Trace minimal distance with treshhold checking (that is default behavior for most predict logic)
+*/
+class CV_EXPORTS_W StandardCollector : public PredictCollector
+{
+public:
+ struct PredictResult
+ {
+ int label;
+ double distance;
+ PredictResult(int label_ = -1, double distance_ = DBL_MAX) : label(label_), distance(distance_) {}
+ };
+protected:
+ double threshold;
+ PredictResult minRes;
+ std::vector<PredictResult> data;
+public:
+ /** @brief Constructor
+ @param threshold_ set threshold
+ */
+ StandardCollector(double threshold_ = DBL_MAX);
+ /** @brief overloaded interface method */
+ void init(size_t size);
+ /** @brief overloaded interface method */
+ bool collect(int label, double dist);
+ /** @brief Returns label with minimal distance */
+ CV_WRAP int getMinLabel() const;
+ /** @brief Returns minimal distance value */
+ CV_WRAP double getMinDist() const;
+ /** @brief Return results as vector
+ @param sorted If set, results will be sorted by distance
+ Each values is a pair of label and distance.
+ */
+ CV_WRAP std::vector< std::pair<int, double> > getResults(bool sorted = false) const;
+ /** @brief Return results as map
+ Labels are keys, values are minimal distances
+ */
+ std::map<int, double> getResultsMap() const;
+ /** @brief Static constructor
+ @param threshold set threshold
+ */
+ CV_WRAP static Ptr<StandardCollector> create(double threshold = DBL_MAX);
+};
+
+//! @}
+}
+}
+
+#endif