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Imgproc test cleanup - #29740 co-authored by: @Prasadayus ### Re-enabled as-is (stale disable reasons) - `FillPolyFully.fillpoly_fully` (`test_drawing.cpp:1142`) - `Resize_Bitexact` (`test_resize_bitexact.cpp:188`, 4 instantiations): `INTER_NEAREST` and `INTER_NEAREST_EXACT` agree exactly at integer upscale factors; measured 0.0 diff on all 4. ### Add assertions - **imgproc** — new `Imgproc_Watershed.regression`: `cv::watershed` had no working coverage at all. ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [x] There is a reference to the original bug report and related work - [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [x] The feature is well documented and sample code can be built with the project CMake
111 lines
4.8 KiB
C++
111 lines
4.8 KiB
C++
/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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//
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
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// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
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// * The name of the copyright holders may not be used to endorse or promote products
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//M*/
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#include "test_precomp.hpp"
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namespace opencv_test { namespace {
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// Seeds are eroded copies of the stored reference regions, so watershed has to re-grow the
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// boundaries. The neighbouring watershed/comp.xml is not used: it is an
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// "opencv-sequence-tree" holding CvSeq contours and needs the removed C API to read.
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TEST(Imgproc_Watershed, regression)
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{
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const string folder = string(cvtest::TS::ptr()->get_data_path());
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const string expPath = folder + "watershed/wshed_exp.png";
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Mat image = imread(folder + "inpaint/orig.png", IMREAD_COLOR);
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Mat expLabels8 = imread(expPath, IMREAD_GRAYSCALE);
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ASSERT_FALSE(image.empty()) << "Could not read " << folder << "inpaint/orig.png";
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ASSERT_FALSE(expLabels8.empty()) << "Could not read " << expPath;
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ASSERT_EQ(image.size(), expLabels8.size());
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// wshed_exp.png stores the expected labels offset by +1, so that the -1 used for
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// watershed boundaries survives being written to an 8-bit PNG.
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Mat expected;
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expLabels8.convertTo(expected, CV_32S);
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expected -= 1; // -1 = boundary, 1..nLabels = regions
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double maxLabel = 0;
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minMaxLoc(expected, 0, &maxLabel);
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const int nLabels = cvRound(maxLabel);
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ASSERT_GT(nLabels, 1) << "reference image does not contain several regions";
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Mat markers = Mat::zeros(expected.size(), CV_32S);
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Mat kernel = getStructuringElement(MORPH_ELLIPSE, Size(15, 15));
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for (int label = 1; label <= nLabels; label++)
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{
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Mat seed;
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erode(expected == label, seed, kernel);
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ASSERT_GT(countNonZero(seed), 0) << "region " << label << " vanished when eroded";
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markers.setTo(label, seed);
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}
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Mat result = markers.clone();
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watershed(image, result);
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ASSERT_EQ(expected.size(), result.size());
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ASSERT_EQ(CV_32S, result.type());
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EXPECT_EQ(0, countNonZero(result == 0)) << "watershed left pixels unlabelled";
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double minVal = 0, maxVal = 0;
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minMaxLoc(result, &minVal, &maxVal);
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EXPECT_GE(minVal, -1);
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EXPECT_LE(maxVal, nLabels) << "watershed produced a label that was never seeded";
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// Measured: ~99.6% for a correct implementation, ~78.7% if watershed does nothing.
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Mat interior = expected > 0;
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const int totalPx = countNonZero(interior);
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ASSERT_GT(totalPx, 0);
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Mat agreeMask;
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bitwise_and(result == expected, interior, agreeMask);
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const double agreement = (double)countNonZero(agreeMask) / totalPx;
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EXPECT_GT(agreement, 0.95)
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<< "only " << agreement * 100 << "% of interior pixels match " << expPath;
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Mat again = markers.clone();
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watershed(image, again);
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EXPECT_EQ(0, countNonZero(again != result)) << "watershed is not deterministic";
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}
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}} // namespace
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