modules/highgui/test/test_grfmt.cpp

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  42
  43 #include "test_precomp.hpp"
  44 #include "opencv2/highgui/highgui.hpp"
  45
  46 using namespace cv;
  47 using namespace std;
  48
  49
  50 class CV_GrfmtWriteBigImageTest : public cvtest::BaseTest
  51 {
  52 public:
  53     void run(int)
  54     {
  55         try
  56         {
  57             ts->printf(cvtest::TS::LOG, "start  reading big image\n");
  58             Mat img = imread(string(ts->get_data_path()) + "readwrite/read.png");
  59             ts->printf(cvtest::TS::LOG, "finish reading big image\n");
  60             if (img.empty()) ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_TEST_DATA);
  61             ts->printf(cvtest::TS::LOG, "start  writing big image\n");
  62             imwrite(string(ts->get_data_path()) + "readwrite/write.png", img);
  63             ts->printf(cvtest::TS::LOG, "finish writing big image\n");
  64         }
  65         catch(...)
  66         {
  67             ts->set_failed_test_info(cvtest::TS::FAIL_EXCEPTION);
  68         }
  69         ts->set_failed_test_info(cvtest::TS::OK);
  70     }
  71 };
  72
  73 string ext_from_int(int ext)
  74 {
  75     if (ext == 0) return ".png";
  76     if (ext == 1) return ".bmp";
  77     if (ext == 2) return ".pgm";
  78     if (ext == 3) return ".tiff";
  79     return "";
  80 }
  81
  82 class CV_GrfmtWriteSequenceImageTest : public cvtest::BaseTest
  83 {
  84 public:
  85     void run(int)
  86     {
  87         try
  88         {
  89             const int img_r = 640;
  90             const int img_c = 480;
  91
  92             for (int k = 1; k <= 5; ++k)
  93             {
  94                 for (int ext = 0; ext < 4; ++ext) // 0 - png, 1 - bmp, 2 - pgm, 3 - tiff
  95                     for (int num_channels = 1; num_channels <= 3; num_channels+=2)
  96                     {
  97                         ts->printf(ts->LOG, "image type depth:%d   channels:%d   ext: %s\n", CV_8U, num_channels, ext_from_int(ext).c_str());
  98                         Mat img(img_r * k, img_c * k, CV_MAKETYPE(CV_8U, num_channels), Scalar::all(0));
  99                         circle(img, Point2i((img_c * k) / 2, (img_r * k) / 2), cv::min((img_r * k), (img_c * k)) / 4 , Scalar::all(255));
 100                         ts->printf(ts->LOG, "writing      image : %s\n", string(string(ts->get_data_path()) + "readwrite/test" + ext_from_int(ext)).c_str());
 101                         imwrite(string(ts->get_data_path()) + "readwrite/test" + ext_from_int(ext), img);
 102                         ts->printf(ts->LOG, "reading test image : %s\n", string(string(ts->get_data_path()) + "readwrite/test" + ext_from_int(ext)).c_str());
 103
 104                         Mat img_test = imread(string(ts->get_data_path()) + "readwrite/test" + ext_from_int(ext), CV_LOAD_IMAGE_UNCHANGED);
 105
 106                         if (img_test.empty()) ts->set_failed_test_info(ts->FAIL_MISMATCH);
 107
 108                         CV_Assert(img.size() == img_test.size());
 109                         CV_Assert(img.type() == img_test.type());
 110
 111                         double n = norm(img, img_test);
 112                         if ( n > 1.0)
 113                         {
 114                             ts->printf(ts->LOG, "norm = %f \n", n);
 115                             ts->set_failed_test_info(ts->FAIL_MISMATCH);
 116                         }
 117                     }
 118
 119                 for (int num_channels = 1; num_channels <= 3; num_channels+=2)
 120                 {
 121                     // jpeg
 122                     ts->printf(ts->LOG, "image type depth:%d   channels:%d   ext: %s\n", CV_8U, num_channels, ".jpg");
 123                     Mat img(img_r * k, img_c * k, CV_MAKETYPE(CV_8U, num_channels), Scalar::all(0));
 124                     circle(img, Point2i((img_c * k) / 2, (img_r * k) / 2), cv::min((img_r * k), (img_c * k)) / 4 , Scalar::all(255));
 125                     string filename = string(ts->get_data_path() + "readwrite/test_" + char(k + 48) + "_c" + char(num_channels + 48) + "_.jpg");
 126                     imwrite(filename, img);
 127                     img = imread(filename, CV_LOAD_IMAGE_UNCHANGED);
 128
 129                     filename = string(ts->get_data_path() + "readwrite/test_" + char(k + 48) + "_c" + char(num_channels + 48) + ".jpg");
 130                     ts->printf(ts->LOG, "reading test image : %s\n", filename.c_str());
 131                     Mat img_test = imread(filename, CV_LOAD_IMAGE_UNCHANGED);
 132
 133                     if (img_test.empty()) ts->set_failed_test_info(ts->FAIL_MISMATCH);
 134
 135                     CV_Assert(img.size() == img_test.size());
 136                     CV_Assert(img.type() == img_test.type());
 137
 138                     double n = norm(img, img_test);
 139                     if ( n > 1.0)
 140                     {
 141                         ts->printf(ts->LOG, "norm = %f \n", n);
 142                         ts->set_failed_test_info(ts->FAIL_MISMATCH);
 143                     }
 144                 }
 145
 146                 for (int num_channels = 1; num_channels <= 3; num_channels+=2)
 147                 {
 148                     // tiff
 149                     ts->printf(ts->LOG, "image type depth:%d   channels:%d   ext: %s\n", CV_16U, num_channels, ".tiff");
 150                     Mat img(img_r * k, img_c * k, CV_MAKETYPE(CV_16U, num_channels), Scalar::all(0));
 151                     circle(img, Point2i((img_c * k) / 2, (img_r * k) / 2), cv::min((img_r * k), (img_c * k)) / 4 , Scalar::all(255));
 152                     string filename = string(ts->get_data_path() + "readwrite/test.tiff");
 153                     imwrite(filename, img);
 154                     ts->printf(ts->LOG, "reading test image : %s\n", filename.c_str());
 155                     Mat img_test = imread(filename, CV_LOAD_IMAGE_UNCHANGED);
 156
 157                     if (img_test.empty()) ts->set_failed_test_info(ts->FAIL_MISMATCH);
 158
 159                     CV_Assert(img.size() == img_test.size());
 160
 161                     ts->printf(ts->LOG, "img      : %d ; %d \n", img.channels(), img.depth());
 162                     ts->printf(ts->LOG, "img_test : %d ; %d \n", img_test.channels(), img_test.depth());
 163
 164                     CV_Assert(img.type() == img_test.type());
 165
 166
 167                     double n = norm(img, img_test);
 168                     if ( n > 1.0)
 169                     {
 170                         ts->printf(ts->LOG, "norm = %f \n", n);
 171                         ts->set_failed_test_info(ts->FAIL_MISMATCH);
 172                     }
 173                 }
 174             }
 175         }
 176         catch(const cv::Exception & e)
 177         {
 178             ts->printf(ts->LOG, "Exception: %s\n" , e.what());
 179             ts->set_failed_test_info(ts->FAIL_MISMATCH);
 180         }
 181     }
 182 };
 183
 184 TEST(Highgui_Grfmt_WriteBigImage,         regression) { CV_GrfmtWriteBigImageTest      test; test.safe_run(); }
 185 TEST(Highgui_Grfmt_WriteSequenceImage,    regression) { CV_GrfmtWriteSequenceImageTest test; test.safe_run(); }