1 | /*********************************************************************
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2 | // created: 2013/06/25 - 18:40
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3 | // filename: ObstacleDetectionComponent.h
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4 | //
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5 | // author: Danilo Alves de Lima
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6 | // Copyright Heudiasyc UMR UTC/CNRS 6599
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7 | //
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8 | // version: $Id: $
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9 | //
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10 | // purpose:
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11 | *********************************************************************/
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12 |
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13 | #ifndef OBSTACLEDETECTIONCOMPONENT_H
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14 | #define OBSTACLEDETECTIONCOMPONENT_H
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15 |
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16 | #include <fstream>
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17 | #include <qcoreevent.h>
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18 | #include <qthread.h>
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19 | #include <string>
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20 |
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21 | #include "opencv2/objdetect/objdetect.hpp"
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22 | #include "opencv2/highgui/highgui.hpp"
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23 | #include "opencv2/imgproc/imgproc.hpp"
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24 |
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25 | #include "Pacpus/kernel/ComponentBase.h"
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26 | #include "Pacpus/kernel/DbiteFile.h"
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27 | #include "Pacpus/PacpusTools/ShMem.h"
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28 | #include "StereoVisionDisparityExp.h"
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29 |
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30 | #include "../../StdDbtPlayerComponents/ImageBaseStructure.h"
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31 |
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32 | #include <QThread>
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33 |
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34 | namespace pacpus {
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35 |
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36 | /** Class to provide the obstacle detection from a disparity map data */
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37 | class STEREOVISIONDISPARITY_API ObstacleDetectionComponent: public QThread,
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38 | public ComponentBase
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39 | {
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40 | public:
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41 | //============================= DEFAULT ELEMENTS ===============================================
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42 | ObstacleDetectionComponent(QString name);
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43 | ~ObstacleDetectionComponent();
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44 |
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45 | void run();
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46 |
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47 | virtual void stopActivity(); /*!< to stop the processing thread */
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48 | virtual void startActivity(); /*!< to start the processing thread */
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49 | virtual ComponentBase::COMPONENT_CONFIGURATION configureComponent(XmlComponentConfig config);
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50 | //==============================================================================================
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51 |
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52 | protected:
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53 |
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54 | // Indicates that thread is running
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55 | bool is_running, THREAD_ALIVE;
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56 |
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57 |
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58 | public:
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59 |
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60 | /**
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61 | * Initialize default values
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62 | */
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63 | void InitDefault();
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64 |
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65 | private:
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66 |
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67 | double ANG_VARIATION, ANG_VARIATION2;
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68 |
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69 | int cam_width; // Image width
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70 | int cam_height; // image height
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71 | int cam_channels; // number of channels
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72 | double cam_ref_cx; // cx camera divide by x image size
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73 | double cam_ref_cy; // cy camera divide by y image size
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74 | double cam_ref_fx; // fx camera divide by x image size
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75 | double cam_ref_fy; // fy camera divide by y image size
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76 | double cam_baseline; // distance between two cameras in meter
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77 | bool showdebug; // Show frame acquired
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78 | int min_disp; // Minimum disparity value to detect obstacles in the u/v-disp map
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79 | int max_disp; // Maximum disparity value to detect obstacles in the u/v-disp map
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80 | int min_disp_norm; // Minimum disparity value to equalize the disp map 16
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81 | int max_disp_norm; // Maximum disparity value to equalize the disp map 16
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82 |
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83 | int destiny_roi_x; // Destiny image roi x
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84 | int destiny_roi_y; // Destiny image roi y
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85 | int destiny_roi_width; // Destiny image roi width
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86 | int destiny_roi_height; // Destiny image roi height
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87 |
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88 | bool use_roi; // If is to use roi
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89 |
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90 | int mMaxImageInputSize1; // Size of the input image data in the memory
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91 | int mMaxImageInputSize2; // Size of the input image data in the memory
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92 | int mMaxImageOutputSize; // Size of the output image data in the memory
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93 |
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94 | TimestampedStructImage RefImageHeader; // Header for the reference image
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95 | TimestampedStructImage DispInImageHeader; // Header for the input disp image
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96 | TimestampedStructImage Mask1ImageHeader; // Header for the mask image 1
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97 | TimestampedStructImage Mask2ImageHeader; // Header for the mask image 2
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98 | TimestampedStructImage DispOutImageHeader; // Header for the output disp image
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99 |
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100 | void * ref_mem;
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101 | void * dispin_mem;
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102 | void * mask1_mem;
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103 | void * mask2_mem;
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104 | void * dispout_mem;
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105 |
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106 | size_t ref_mem_size; // Image shared memory position size
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107 | size_t dispin_mem_size; // Image shared memory position size
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108 | size_t mask1_mem_size; // Image shared memory position size
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109 | size_t mask2_mem_size; // Image shared memory position size
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110 | size_t dispout_mem_size; // Image shared memory position size
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111 |
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112 | // Imput data
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113 | ShMem * shmem_ref; // Shared memory control access to the image data
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114 | ShMem * shmem_dispin; // Shared memory control access to the image data
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115 |
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116 | // Output data
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117 | ShMem * shmem_mask1; // Shared memory control access to the image data (free space mask)
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118 | ShMem * shmem_mask2; // Shared memory control access to the image data (obstacles mask)
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119 | ShMem * shmem_dispout; // Shared memory control access to the image data (disparity map 16)
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120 |
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121 | ShMem * shmem_dispMapNormalized;
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122 | ShMem * shmem_result;
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123 |
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124 | cv::Mat CurrentReferenceFrame; // Reference image
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125 | cv::Mat CurrentDisparityMap16; // Disparity Map
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126 |
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127 | cv::Mat CurrentSurfaceMask; // Surface mask
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128 | cv::Mat CurrentObstaclesMask; // Obstacles mask
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129 |
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130 | // Function to calculate the U/V disparity map
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131 | std::pair<cv::Mat, cv::Mat> CalcUVDisparityMap(cv::Mat disp_map);
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132 |
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133 | /* CalcUVDisparityMapNorm
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134 | Description:
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135 | Function to calculate the U/V disparity map from a disp map normalized
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136 | Parameters:
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137 | disp_map16 = original disparity map 16
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138 | disp_map_norm = resulted disparity map normalized
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139 | min_d_norm = Minimum disparity value to equalize the disp map 16
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140 | max_d_norm = Maximum disparity value to equalize the disp map 16
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141 | */
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142 | void CalcUVDisparityMapNorm(cv::Mat disp_map16, cv::Mat &v_disp_map, cv::Mat &u_disp_map, cv::Mat &disp_map_norm, int min_d_norm, int max_d_norm);
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143 |
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144 | //Function to check the points order, making the second one with the highest y ever
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145 | void CheckPoints(cv::Point &pt1, cv::Point &pt2);
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146 |
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147 | // Function to calculate the line slope of pt1 to pt2
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148 | double Inclination(cv::Point pt1, cv::Point pt2);
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149 |
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150 | // Function to calculate the free space (v_disp_1) and obstacles (v_disp_2) masks from
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151 | // a red highlighted V-Disparity map
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152 | std::pair<cv::Mat, cv::Mat> MaskSurface2(cv::Mat disp_map, cv::Mat v_disp_1, cv::Mat v_disp_2, int min_d = 0, int max_d = 255, int value = 0);
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153 |
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154 | // Function to calculate the free space (v_disp_1) and obstacles (v_disp_2/u_disp) masks from
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155 | // a red highlighted V-Disparity map
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156 | std::pair<cv::Mat, cv::Mat> MaskSurface3(cv::Mat disp_map, cv::Mat v_disp_1, cv::Mat v_disp_2, cv::Mat u_disp, int min_d = 0, int max_d = 255, int value = 0);
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157 |
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158 | // Function to find the free space surface from a V-disparity map
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159 | cv::Mat FindSurface(cv::Mat &v_disp_map, cv::Mat &v_disp_map2);
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160 |
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161 | /* FindSurface2
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162 | Description:
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163 | Function to find the free space surface from a V-disparity map, based on the frontal plane.
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164 | Return the V-dysparity map with the red line representing the free surface.
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165 | Parameters:
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166 | v_disp_map = Original V-disparity map
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167 | v_disp_map2 = Orignal V-disparity map less the surface detected
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168 | */
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169 | cv::Mat FindSurface2(cv::Mat &v_disp_map, cv::Mat &v_disp_map2);
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170 |
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171 | // Function to find the free space surface from a V-disparity map with mean average
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172 | cv::Mat FindAverageSurface(cv::Mat &v_disp_map, cv::Mat &v_disp_map2);
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173 |
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174 | // Function to find the near obstacles from a v-Disparity map
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175 | cv::Mat FindNearObstacles(cv::Mat v_disp_map, int min_d = 0, int max_d = 255);
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176 |
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177 | // Function to find the near obstacles from the v/u-Disparity maps
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178 | std::pair<cv::Mat, cv::Mat> FindNearObstaclesUV(cv::Mat v_disp_map, cv::Mat u_disp_map, int min_d = 0, int max_d = 255);
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179 |
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180 | /* LinesFiltering
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181 | Description:
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182 | Filter the detected lines related to the distance and angle between them.
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183 | Parameters:
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184 | lines = line list (point 1 and 2)
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185 | */
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186 | std::vector<cv::Point> LinesFiltering(std::vector<cv::Vec4i> lines);
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187 |
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188 | /* CalcMedian
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189 | Description:
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190 | Calcule the median value of a vector.
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191 | Parametros:
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192 | vector = vector with data to calculate the median
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193 | */
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194 | template<class A>
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195 | A CalcMedian(std::vector<A> vetor) const;
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196 |
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197 | bool PointTriangulate(int row, int col, double &x, double &y, double &z, double disparity);
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198 | };
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199 |
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200 | }
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201 | #endif // OBSTACLEDETECTIONCOMPONENT
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