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https://github.com/opencv/opencv.git
synced 2024-11-28 21:20:18 +08:00
API of TiffDecoder back to what it was - normalizeChannelsNumber moved to protected
test code unified - channels number is tested for other formats as well
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parent
109e047a28
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88e0127f44
@ -103,11 +103,11 @@ public:
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size_t signatureLength() const;
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bool checkSignature( const string& signature ) const;
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int normalizeChannelsNumber(int channels) const;
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ImageDecoder newDecoder() const;
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protected:
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void* m_tif;
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int normalizeChannelsNumber(int channels) const;
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};
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#endif
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@ -99,8 +99,11 @@ public:
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{
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if(ext_from_int(ext).empty())
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continue;
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for (int num_channels = 1; num_channels <= 3; num_channels+=2)
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for (int num_channels = 1; num_channels <= 4; num_channels++)
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{
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if (num_channels == 2) continue;
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if (num_channels == 4 && ext!=3 /*TIFF*/) continue;
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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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@ -116,6 +119,7 @@ public:
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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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CV_Assert(num_channels == img_test.channels());
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double n = norm(img, img_test);
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if ( n > 1.0)
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@ -124,35 +128,6 @@ public:
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ts->set_failed_test_info(ts->FAIL_MISMATCH);
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}
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}
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if (ext == 3 /*TIFF*/)
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{
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/* 4 channels should stay 4 channels */
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int num_channels = 4;
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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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string img_path = cv::tempfile(ext_from_int(ext).c_str());
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ts->printf(ts->LOG, "writing image : %s\n", img_path.c_str());
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imwrite(img_path, img);
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ts->printf(ts->LOG, "reading test image : %s\n", img_path.c_str());
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Mat img_test = imread(img_path, 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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CV_Assert(img_test.channels() == 4);
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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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#ifdef HAVE_JPEG
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