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CaiXiang
2025-06-09 09:09:25 +08:00
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222
3rdparty/opencv/inc/opencv2/objdetect/detection_based_tracker.hpp vendored Normal file
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/*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_DBT_HPP
#define OPENCV_OBJDETECT_DBT_HPP
#include <opencv2/core.hpp>
#include <vector>
namespace cv
{
//! @addtogroup objdetect
//! @{
class CV_EXPORTS DetectionBasedTracker
{
public:
struct CV_EXPORTS Parameters
{
int maxTrackLifetime;
int minDetectionPeriod; //the minimal time between run of the big object detector (on the whole frame) in ms (1000 mean 1 sec), default=0
Parameters();
};
class IDetector
{
public:
IDetector():
minObjSize(96, 96),
maxObjSize(INT_MAX, INT_MAX),
minNeighbours(2),
scaleFactor(1.1f)
{}
virtual void detect(const cv::Mat& image, std::vector<cv::Rect>& objects) = 0;
void setMinObjectSize(const cv::Size& min)
{
minObjSize = min;
}
void setMaxObjectSize(const cv::Size& max)
{
maxObjSize = max;
}
cv::Size getMinObjectSize() const
{
return minObjSize;
}
cv::Size getMaxObjectSize() const
{
return maxObjSize;
}
float getScaleFactor()
{
return scaleFactor;
}
void setScaleFactor(float value)
{
scaleFactor = value;
}
int getMinNeighbours()
{
return minNeighbours;
}
void setMinNeighbours(int value)
{
minNeighbours = value;
}
virtual ~IDetector() {}
protected:
cv::Size minObjSize;
cv::Size maxObjSize;
int minNeighbours;
float scaleFactor;
};
DetectionBasedTracker(cv::Ptr<IDetector> mainDetector, cv::Ptr<IDetector> trackingDetector, const Parameters& params);
virtual ~DetectionBasedTracker();
virtual bool run();
virtual void stop();
virtual void resetTracking();
virtual void process(const cv::Mat& imageGray);
bool setParameters(const Parameters& params);
const Parameters& getParameters() const;
typedef std::pair<cv::Rect, int> Object;
virtual void getObjects(std::vector<cv::Rect>& result) const;
virtual void getObjects(std::vector<Object>& result) const;
enum ObjectStatus
{
DETECTED_NOT_SHOWN_YET,
DETECTED,
DETECTED_TEMPORARY_LOST,
WRONG_OBJECT
};
struct ExtObject
{
int id;
cv::Rect location;
ObjectStatus status;
ExtObject(int _id, cv::Rect _location, ObjectStatus _status)
:id(_id), location(_location), status(_status)
{
}
};
virtual void getObjects(std::vector<ExtObject>& result) const;
virtual int addObject(const cv::Rect& location); //returns id of the new object
protected:
class SeparateDetectionWork;
cv::Ptr<SeparateDetectionWork> separateDetectionWork;
friend void* workcycleObjectDetectorFunction(void* p);
struct InnerParameters
{
int numLastPositionsToTrack;
int numStepsToWaitBeforeFirstShow;
int numStepsToTrackWithoutDetectingIfObjectHasNotBeenShown;
int numStepsToShowWithoutDetecting;
float coeffTrackingWindowSize;
float coeffObjectSizeToTrack;
float coeffObjectSpeedUsingInPrediction;
InnerParameters();
};
Parameters parameters;
InnerParameters innerParameters;
struct TrackedObject
{
typedef std::vector<cv::Rect> PositionsVector;
PositionsVector lastPositions;
int numDetectedFrames;
int numFramesNotDetected;
int id;
TrackedObject(const cv::Rect& rect):numDetectedFrames(1), numFramesNotDetected(0)
{
lastPositions.push_back(rect);
id=getNextId();
};
static int getNextId()
{
static int _id=0;
return _id++;
}
};
int numTrackedSteps;
std::vector<TrackedObject> trackedObjects;
std::vector<float> weightsPositionsSmoothing;
std::vector<float> weightsSizesSmoothing;
cv::Ptr<IDetector> cascadeForTracking;
void updateTrackedObjects(const std::vector<cv::Rect>& detectedObjects);
cv::Rect calcTrackedObjectPositionToShow(int i) const;
cv::Rect calcTrackedObjectPositionToShow(int i, ObjectStatus& status) const;
void detectInRegion(const cv::Mat& img, const cv::Rect& r, std::vector<cv::Rect>& detectedObjectsInRegions);
};
//! @} objdetect
} //end of cv namespace
#endif

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3rdparty/opencv/inc/opencv2/objdetect/face.hpp vendored Normal file
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// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
#ifndef OPENCV_OBJDETECT_FACE_HPP
#define OPENCV_OBJDETECT_FACE_HPP
#include <opencv2/core.hpp>
/** @defgroup dnn_face DNN-based face detection and recognition
*/
namespace cv
{
/** @brief DNN-based face detector, model download link: https://github.com/ShiqiYu/libfacedetection.train/tree/master/tasks/task1/onnx.
*/
class CV_EXPORTS_W FaceDetectorYN
{
public:
virtual ~FaceDetectorYN() {};
/** @brief Set the size for the network input, which overwrites the input size of creating model. Call this method when the size of input image does not match the input size when creating model
*
* @param input_size the size of the input image
*/
CV_WRAP virtual void setInputSize(const Size& input_size) = 0;
CV_WRAP virtual Size getInputSize() = 0;
/** @brief Set the score threshold to filter out bounding boxes of score less than the given value
*
* @param score_threshold threshold for filtering out bounding boxes
*/
CV_WRAP virtual void setScoreThreshold(float score_threshold) = 0;
CV_WRAP virtual float getScoreThreshold() = 0;
/** @brief Set the Non-maximum-suppression threshold to suppress bounding boxes that have IoU greater than the given value
*
* @param nms_threshold threshold for NMS operation
*/
CV_WRAP virtual void setNMSThreshold(float nms_threshold) = 0;
CV_WRAP virtual float getNMSThreshold() = 0;
/** @brief Set the number of bounding boxes preserved before NMS
*
* @param top_k the number of bounding boxes to preserve from top rank based on score
*/
CV_WRAP virtual void setTopK(int top_k) = 0;
CV_WRAP virtual int getTopK() = 0;
/** @brief A simple interface to detect face from given image
*
* @param image an image to detect
* @param faces detection results stored in a cv::Mat
*/
CV_WRAP virtual int detect(InputArray image, OutputArray faces) = 0;
/** @brief Creates an instance of this class with given parameters
*
* @param model the path to the requested model
* @param config the path to the config file for compability, which is not requested for ONNX models
* @param input_size the size of the input image
* @param score_threshold the threshold to filter out bounding boxes of score smaller than the given value
* @param nms_threshold the threshold to suppress bounding boxes of IoU bigger than the given value
* @param top_k keep top K bboxes before NMS
* @param backend_id the id of backend
* @param target_id the id of target device
*/
CV_WRAP static Ptr<FaceDetectorYN> create(const String& model,
const String& config,
const Size& input_size,
float score_threshold = 0.9f,
float nms_threshold = 0.3f,
int top_k = 5000,
int backend_id = 0,
int target_id = 0);
};
/** @brief DNN-based face recognizer, model download link: https://drive.google.com/file/d/1ClK9WiB492c5OZFKveF3XiHCejoOxINW/view.
*/
class CV_EXPORTS_W FaceRecognizerSF
{
public:
virtual ~FaceRecognizerSF() {};
/** @brief Definition of distance used for calculating the distance between two face features
*/
enum DisType { FR_COSINE=0, FR_NORM_L2=1 };
/** @brief Aligning image to put face on the standard position
* @param src_img input image
* @param face_box the detection result used for indicate face in input image
* @param aligned_img output aligned image
*/
CV_WRAP virtual void alignCrop(InputArray src_img, InputArray face_box, OutputArray aligned_img) const = 0;
/** @brief Extracting face feature from aligned image
* @param aligned_img input aligned image
* @param face_feature output face feature
*/
CV_WRAP virtual void feature(InputArray aligned_img, OutputArray face_feature) = 0;
/** @brief Calculating the distance between two face features
* @param _face_feature1 the first input feature
* @param _face_feature2 the second input feature of the same size and the same type as _face_feature1
* @param dis_type defining the similarity with optional values "FR_OSINE" or "FR_NORM_L2"
*/
CV_WRAP virtual double match(InputArray _face_feature1, InputArray _face_feature2, int dis_type = FaceRecognizerSF::FR_COSINE) const = 0;
/** @brief Creates an instance of this class with given parameters
* @param model the path of the onnx model used for face recognition
* @param config the path to the config file for compability, which is not requested for ONNX models
* @param backend_id the id of backend
* @param target_id the id of target device
*/
CV_WRAP static Ptr<FaceRecognizerSF> create(const String& model, const String& config, int backend_id = 0, int target_id = 0);
};
} // namespace cv
#endif

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3rdparty/opencv/inc/opencv2/objdetect/objdetect.hpp vendored Normal file
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/*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*/
#ifdef __OPENCV_BUILD
#error this is a compatibility header which should not be used inside the OpenCV library
#endif
#include "opencv2/objdetect.hpp"