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@ -78,19 +78,21 @@ class CV_FFmpegWriteBigVideoTest : public cvtest::BaseTest |
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const int img_c = 4096; |
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Size frame_s = Size(img_c, img_r); |
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const double fps = 30; |
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const double time_sec = 1; |
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const double time_sec = 2; |
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const int coeff = static_cast<int>(static_cast<double>(cv::min(img_c, img_r)) / (fps * time_sec)); |
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Mat img(img_r, img_c, CV_8UC3, Scalar::all(0)); |
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try |
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{ |
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VideoWriter writer(string(ts->get_data_path()) + "video/output.avi", |
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CV_FOURCC('X', 'V', 'I', 'D'), fps, frame_s); |
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VideoWriter writer(string(ts->get_data_path()) + "video/output.avi", CV_FOURCC('X', 'V', 'I', 'D'), fps, frame_s); |
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if (writer.isOpened() == false) ts->set_failed_test_info(cvtest::TS::FAIL_EXCEPTION); |
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for (int i = 0 ; i < static_cast<int>(fps * time_sec); i++ ) |
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{ |
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circle(img, Point2i(img_c / 2, img_r / 2), cv::min(img_r, img_c) / 2 * (i + 1), Scalar::all(255)); |
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//circle(img, Point2i(img_c / 2, img_r / 2), cv::min(img_r, img_c) / 2 * (i + 1), Scalar(255, 0, 0, 0), 2);
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rectangle(img, Point2i(coeff * i, coeff * i), Point2i(coeff * (i + 1), coeff * (i + 1)),
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Scalar::all(255 * (1.0 - static_cast<double>(i) / (fps * time_sec * 2) )), -1);
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writer << img; |
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} |
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} |
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@ -105,55 +107,115 @@ class CV_FFmpegWriteBigVideoTest : public cvtest::BaseTest |
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string ext_from_int(int ext) |
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{ |
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if (ext == 0) return ".png"; |
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if (ext == 1) return ".jpg"; |
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if (ext == 2) return ".bmp"; |
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if (ext == 3) return ".pgm"; |
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if (ext == 4) return ".tiff"; |
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if (ext == 1) return ".bmp"; |
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if (ext == 2) return ".pgm"; |
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if (ext == 3) return ".tiff"; |
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return ""; |
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} |
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//class CV_FFmpegWriteSequenceImageTest : public cvtest::BaseTest
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//{
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// public:
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// void run(int)
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// {
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// try
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// {
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// const int img_r = 640;
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// const int img_c = 480;
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// Size frame_s = Size(img_c, img_r);
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//
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// for (size_t ext = 0; ext < 5; ++ext) // 0 - png, 1 - jpg, 2 - bmp, 3 - pgm, 4 - tiff
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// for (size_t k = 1; k <= 3; ++k)
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// for (size_t num_channels = 1; num_channels <= 4; ++num_channels)
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// for (size_t depth = CV_8U; depth <= CV_16U; ++depth)
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// {
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// ts->printf(ts->LOG, "image type depth:%d channels:%d ext: %s\n", depth, num_channels, ext_from_int(ext).c_str());
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// ts->printf(ts->LOG, "creating image\n");
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// Mat img(img_r * k, img_c * k, CV_MAKETYPE(depth, num_channels), Scalar::all(0));
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// ts->printf(ts->LOG, "drawing circle\n");
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// circle(img, Point2i((img_c * k) / 2, (img_r * k) / 2), cv::min((img_r * k), (img_c * k)) / 4 , Scalar::all(255));
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// ts->printf(ts->LOG, "writing image : %s\n", string(string(ts->get_data_path()) + "readwrite/test" + ext_from_int(ext)).c_str());
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// imwrite(string(ts->get_data_path()) + "readwrite/test" + ext_from_int(ext), img);
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// ts->printf(ts->LOG, "reading test image : %s\n", string(string(ts->get_data_path()) + "readwrite/test" + ext_from_int(ext)).c_str());
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// Mat img_test = imread(string(ts->get_data_path()) + "readwrite/test" + ext_from_int(ext));
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//
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// CV_Assert(img.size() == img_test.size());
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// CV_Assert(img.type() == img_test.type());
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//
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// ts->printf(ts->LOG, "checking test image\n");
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// if (countNonZero(img != img_test) != 0)
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// ts->set_failed_test_info(cvtest::TS::FAIL_GENERIC);
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// }
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// }
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// catch(...)
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// {
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// ts->set_failed_test_info(cvtest::TS::FAIL_EXCEPTION);
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// }
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// ts->set_failed_test_info(cvtest::TS::OK);
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// }
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//};
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//TEST(Highgui_FFmpeg_WriteBigImage, regression) { CV_FFmpegWriteBigImageTest test; test.safe_run(); }
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//TEST(Highgui_FFmpeg_WriteBigVideo, regression) { CV_FFmpegWriteBigVideoTest test; test.safe_run(); }
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class CV_FFmpegWriteSequenceImageTest : public cvtest::BaseTest |
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{ |
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public: |
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void run(int) |
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{ |
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try |
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{ |
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const int img_r = 640; |
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const int img_c = 480; |
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Size frame_s = Size(img_c, img_r); |
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for (size_t k = 1; k <= 5; ++k) |
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{ |
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for (size_t ext = 0; ext < 4; ++ext) // 0 - png, 1 - bmp, 2 - pgm, 3 - tiff
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for (size_t num_channels = 1; num_channels <= 3; num_channels+=2) |
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{ |
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ts->printf(ts->LOG, "image type depth:%d channels:%d ext: %s\n", CV_8U, num_channels, ext_from_int(ext).c_str()); |
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Mat img(img_r * k, img_c * k, CV_MAKETYPE(CV_8U, num_channels), Scalar::all(0)); |
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circle(img, Point2i((img_c * k) / 2, (img_r * k) / 2), cv::min((img_r * k), (img_c * k)) / 4 , Scalar::all(255)); |
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ts->printf(ts->LOG, "writing image : %s\n", string(string(ts->get_data_path()) + "readwrite/test" + ext_from_int(ext)).c_str()); |
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imwrite(string(ts->get_data_path()) + "readwrite/test" + ext_from_int(ext), img); |
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ts->printf(ts->LOG, "reading test image : %s\n", string(string(ts->get_data_path()) + "readwrite/test" + ext_from_int(ext)).c_str()); |
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Mat img_test = imread(string(ts->get_data_path()) + "readwrite/test" + ext_from_int(ext), CV_LOAD_IMAGE_UNCHANGED); |
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if (img_test.empty()) ts->set_failed_test_info(ts->FAIL_MISMATCH); |
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CV_Assert(img.size() == img_test.size()); |
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CV_Assert(img.type() == img_test.type()); |
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double n = norm(img, img_test); |
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if ( n > 1.0) |
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{ |
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ts->printf(ts->LOG, "norm = %f \n", n); |
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ts->set_failed_test_info(ts->FAIL_MISMATCH); |
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} |
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} |
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for (size_t num_channels = 1; num_channels <= 3; num_channels+=2) |
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{ |
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// jpeg
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ts->printf(ts->LOG, "image type depth:%d channels:%d ext: %s\n", CV_8U, num_channels, ".jpg"); |
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Mat img(img_r * k, img_c * k, CV_MAKETYPE(CV_8U, num_channels), Scalar::all(0)); |
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circle(img, Point2i((img_c * k) / 2, (img_r * k) / 2), cv::min((img_r * k), (img_c * k)) / 4 , Scalar::all(255)); |
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string filename = string(ts->get_data_path() + "readwrite/test_" + char(k + 48) + "_c" + char(num_channels + 48) + "_.jpg"); |
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imwrite(filename, img); |
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img = imread(filename, CV_LOAD_IMAGE_UNCHANGED); |
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filename = string(ts->get_data_path() + "readwrite/test_" + char(k + 48) + "_c" + char(num_channels + 48) + ".jpg"); |
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ts->printf(ts->LOG, "reading test image : %s\n", filename.c_str()); |
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Mat img_test = imread(filename, CV_LOAD_IMAGE_UNCHANGED); |
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if (img_test.empty()) ts->set_failed_test_info(ts->FAIL_MISMATCH); |
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CV_Assert(img.size() == img_test.size()); |
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CV_Assert(img.type() == img_test.type()); |
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double n = norm(img, img_test); |
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if ( n > 1.0) |
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{ |
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ts->printf(ts->LOG, "norm = %f \n", n); |
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ts->set_failed_test_info(ts->FAIL_MISMATCH); |
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} |
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} |
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for (size_t num_channels = 1; num_channels <= 3; num_channels+=2) |
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{ |
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// tiff
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ts->printf(ts->LOG, "image type depth:%d channels:%d ext: %s\n", CV_16U, num_channels, ".tiff"); |
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Mat img(img_r * k, img_c * k, CV_MAKETYPE(CV_16U, num_channels), Scalar::all(0)); |
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circle(img, Point2i((img_c * k) / 2, (img_r * k) / 2), cv::min((img_r * k), (img_c * k)) / 4 , Scalar::all(255)); |
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string filename = string(ts->get_data_path() + "readwrite/test.tiff"); |
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imwrite(filename, img); |
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ts->printf(ts->LOG, "reading test image : %s\n", filename.c_str()); |
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Mat img_test = imread(filename, CV_LOAD_IMAGE_UNCHANGED); |
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if (img_test.empty()) ts->set_failed_test_info(ts->FAIL_MISMATCH); |
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CV_Assert(img.size() == img_test.size()); |
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ts->printf(ts->LOG, "img : %d ; %d \n", img.channels(), img.depth()); |
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ts->printf(ts->LOG, "img_test : %d ; %d \n", img_test.channels(), img_test.depth()); |
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CV_Assert(img.type() == img_test.type()); |
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double n = norm(img, img_test); |
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if ( n > 1.0) |
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{ |
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ts->printf(ts->LOG, "norm = %f \n", n); |
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ts->set_failed_test_info(ts->FAIL_MISMATCH); |
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} |
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} |
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} |
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} |
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catch(const cv::Exception & e) |
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{ |
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ts->printf(ts->LOG, "Exception: %s\n" , e.what()); |
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ts->set_failed_test_info(ts->FAIL_MISMATCH); |
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} |
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} |
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}; |
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TEST(Highgui_FFmpeg_WriteBigImage, regression) { CV_FFmpegWriteBigImageTest test; test.safe_run(); } |
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TEST(Highgui_FFmpeg_WriteBigVideo, regression) { CV_FFmpegWriteBigVideoTest test; test.safe_run(); } |
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TEST(Highgui_FFmpeg_WriteSequenceImage, regression) { CV_FFmpegWriteSequenceImageTest test; test.safe_run(); } |