1 | /* |
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2 | % * This code was used in the following articles: |
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3 | % * [1] Learning 3-D Scene Structure from a Single Still Image, |
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4 | % * Ashutosh Saxena, Min Sun, Andrew Y. Ng, |
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5 | % * In ICCV workshop on 3D Representation for Recognition (3dRR-07), 2007. |
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6 | % * (best paper) |
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7 | % * [2] 3-D Reconstruction from Sparse Views using Monocular Vision, |
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8 | % * Ashutosh Saxena, Min Sun, Andrew Y. Ng, |
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9 | % * In ICCV workshop on Virtual Representations and Modeling |
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10 | % * of Large-scale environments (VRML), 2007. |
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11 | % * [3] 3-D Depth Reconstruction from a Single Still Image, |
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12 | % * Ashutosh Saxena, Sung H. Chung, Andrew Y. Ng. |
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13 | % * International Journal of Computer Vision (IJCV), Aug 2007. |
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14 | % * [6] Learning Depth from Single Monocular Images, |
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15 | % * Ashutosh Saxena, Sung H. Chung, Andrew Y. Ng. |
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16 | % * In Neural Information Processing Systems (NIPS) 18, 2005. |
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17 | % * |
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18 | % * These articles are available at: |
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19 | % * http://make3d.stanford.edu/publications |
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20 | % * |
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21 | % * We request that you cite the papers [1], [3] and [6] in any of |
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22 | % * your reports that uses this code. |
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23 | % * Further, if you use the code in image3dstiching/ (multiple image version), |
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24 | % * then please cite [2]. |
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25 | % * |
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26 | % * If you use the code in third_party/, then PLEASE CITE and follow the |
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27 | % * LICENSE OF THE CORRESPONDING THIRD PARTY CODE. |
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28 | % * |
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29 | % * Finally, this code is for non-commercial use only. For further |
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30 | % * information and to obtain a copy of the license, see |
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31 | % * |
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32 | % * http://make3d.stanford.edu/publications/code |
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33 | % * |
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34 | % * Also, the software distributed under the License is distributed on an |
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35 | % * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either |
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36 | % * express or implied. See the License for the specific language governing |
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37 | % * permissions and limitations under the License. |
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38 | % * |
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39 | % */ |
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40 | //////////////////////////////////////////////////////////////////////// |
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41 | // |
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42 | // COneShot3d.cpp |
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43 | // |
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44 | // This is the core View3 OpenCV program. The program reads an |
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45 | // image from a file, created a wrl file and stores the result. |
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46 | // |
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47 | //////////////////////////////////////////////////////////////////////// |
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48 | #include <stdlib.h> |
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49 | #include <stdio.h> |
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50 | #include <math.h> |
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51 | #include <cv.h> |
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52 | #include <highgui.h> |
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53 | #include <COneShot3d.h> |
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54 | |
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55 | #define IN_IMAGE argv[1] |
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56 | #define IN_ImgPath argv[2] |
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57 | #define IN_OutPutFolder argv[3] |
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58 | #define IN_ScratchFolder argv[4] |
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59 | #define IN_taskName argv[5] |
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60 | #define IN_DepthPara argv[6] |
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61 | #define IN_VarPara argv[7] |
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62 | #define IN_GroundSkyPara argv[8] |
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63 | #define IN_FeaPara argv[9] |
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64 | #define IN_SFeaPara argv[10] |
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65 | |
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66 | #if !defined(MAX) |
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67 | #define MAX(A, B) ((A) > (B) ? (A) : (B)) |
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68 | #endif |
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69 | |
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70 | #if !defined(MIN) |
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71 | #define MIN(A, B) ((A) < (B) ? (A) : (B)) |
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72 | #endif |
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73 | |
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74 | |
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75 | int main(int argc, char *argv[]) |
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76 | { |
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77 | IplImage* img = 0; |
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78 | int height,width,step,channels; |
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79 | uchar *data; |
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80 | double *MedSup; |
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81 | double *Sup; |
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82 | int i,j,k;i |
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83 | bool evalScratchFlag=0; |
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84 | |
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85 | if(argc<2){ |
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86 | printf("Usage: main <image-file-name>\n\7"); |
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87 | exit(0); |
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88 | } |
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89 | |
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90 | // load an image |
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91 | img=cvLoadImage(argv[1]); |
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92 | if(!img){ |
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93 | printf("Could not load image file: %s\n",argv[1]); |
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94 | exit(0); |
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95 | } |
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96 | |
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97 | // get the image data |
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98 | height = img->height; |
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99 | width = img->width; |
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100 | step = img->widthStep; |
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101 | channels = img->nChannels; |
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102 | data = (uchar *)img->imageData; |
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103 | printf("Processing a %dx%d image with %d channels\n",height,width,channels); |
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104 | |
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105 | // Set Default parametersi |
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106 | if (IN_ScratchFolder == '') |
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107 | evalScratchFlag = 1; |
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108 | |
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109 | void DefaultParaValues::setFolderNames(char *taskName, |
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110 | char *DepthPara, |
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111 | char *VarPara, |
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112 | char *GroundSkyPara, |
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113 | bool ScratchFlag, |
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114 | char *SFeaPara, |
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115 | char *FeaPara) {taskName=IN_taskName; |
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116 | DepthPara=IN_DepthPara; |
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117 | VarPara=IN_VarPara; |
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118 | IN_GroundSkyPara=GroundSkyPara; |
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119 | ScratchFlag=evalScratchFlag; |
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120 | SFeaPara=IN_SFeaPara; |
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121 | FeaPara=IN_FeaPara;} |
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122 | |
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123 | /* |
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124 | // create a window |
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125 | cvNamedWindow("mainWin", CV_WINDOW_AUTOSIZE); |
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126 | cvMoveWindow("mainWin", 100, 100); |
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127 | |
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128 | // show the image |
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129 | cvShowImage("mainWin", img ); |
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130 | */ |
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131 | |
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132 | /* |
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133 | |
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134 | // invert the image |
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135 | for(i=0;i<height;i++) for(j=0;j<width;j++) for(k=0;k<channels;k++) |
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136 | data[i*step+j*channels+k]=255-data[i*step+j*channels+k]; |
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137 | */ |
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138 | |
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139 | //% *************************************************** |
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140 | |
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141 | //% Features =========================================== |
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142 | |
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143 | // % 1) Basic Superpixel generation and Sup clean |
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144 | Cgen_Sup_efficient(MedSup, Sup, DefaultParaValues, img); |
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145 | |
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146 | // % 2) Texture Features and inner multiple Sups generation |
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147 | |
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148 | // % 3) Superpixel Features generation |
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149 | |
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150 | |
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151 | //% Inference ========================================== |
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152 | |
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153 | // % 1) Generate Ground and Sky mask |
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154 | |
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155 | // % 2) Clean Sup{1} (1st Scale) according to the sky mask |
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156 | |
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157 | // % 3) Generate predicted (depth:1 Variance:2 ) |
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158 | |
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159 | // % 4) Plane Parameter MRF |
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160 | |
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161 | //% *************************************************** |
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162 | |
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163 | |
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164 | // wait for a key |
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165 | cvWaitKey(0); |
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166 | |
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167 | // release the image |
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168 | cvReleaseImage(&img ); |
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169 | return 0; |
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170 | } |
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