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workaround for libjxl v0.9.0-
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@ -7,6 +7,8 @@ namespace opencv_test { namespace {
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#ifdef HAVE_JPEGXL
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#include <jxl/version.h> // For JPEGXL_MAJOR_VERSION and JPEGXL_MINOR_VERSION
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typedef tuple<perf::MatType, int> MatType_and_Distance;
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typedef testing::TestWithParam<MatType_and_Distance> Imgcodecs_JpegXL_MatType;
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@ -327,6 +329,7 @@ TEST(Imgcodecs_JpegXL, imencode_regression27382)
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cv::minMaxLoc(diff, nullptr, &max_diff);
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EXPECT_EQ(max_diff, 0 );
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}
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TEST(Imgcodecs_JpegXL, imencode_regression27382_2)
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{
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cv::Mat image(1024, 1024, CV_16U);
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@ -346,7 +349,12 @@ TEST(Imgcodecs_JpegXL, imencode_regression27382_2)
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cv::absdiff(image, decoded, diff);
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double max_diff = 0.0;
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cv::minMaxLoc(diff, nullptr, &max_diff);
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EXPECT_EQ(max_diff, 0 );
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#if JPEGXL_MAJOR_VERSION > 0 || JPEGXL_MINOR_VERSION >= 10
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// Quality parameter is supported with libjxl v0.10.0 or later
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EXPECT_EQ(max_diff, 0); // Lossless
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#else
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EXPECT_NE(max_diff, 0); // Lossy
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#endif
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}
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