mirror of
https://github.com/opencv/opencv.git
synced 2024-12-16 02:19:12 +08:00
d3e7968927
imgproc: add contour values check to IntelligentScissorsMB tests Preparation for the #21959 changes as per @asmorkalov's https://github.com/opencv/opencv/pull/21959#issuecomment-1560511500 suggestion. ### 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 - [ ] 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. - [ ] The feature is well documented and sample code can be built with the project CMake
497 lines
12 KiB
C++
497 lines
12 KiB
C++
// This file is part of OpenCV project.
|
|
// It is subject to the license terms in the LICENSE file found in the top-level directory
|
|
// of this distribution and at http://opencv.org/license.html.
|
|
|
|
#include "test_precomp.hpp"
|
|
//#include "opencv2/imgproc/segmentation.hpp"
|
|
|
|
namespace opencv_test { namespace {
|
|
|
|
|
|
Mat getTestImageGray()
|
|
{
|
|
static Mat m;
|
|
if (m.empty())
|
|
{
|
|
m = imread(findDataFile("shared/lena.png"), IMREAD_GRAYSCALE);
|
|
}
|
|
return m.clone();
|
|
}
|
|
|
|
Mat getTestImageColor()
|
|
{
|
|
static Mat m;
|
|
if (m.empty())
|
|
{
|
|
m = imread(findDataFile("shared/lena.png"), IMREAD_COLOR);
|
|
}
|
|
return m.clone();
|
|
}
|
|
|
|
Mat getTestImage1()
|
|
{
|
|
static Mat m;
|
|
if (m.empty())
|
|
{
|
|
m.create(Size(200, 100), CV_8UC1);
|
|
m.setTo(Scalar::all(128));
|
|
Rect roi(50, 30, 100, 40);
|
|
m(roi).setTo(Scalar::all(0));
|
|
#if 0
|
|
imshow("image", m);
|
|
waitKey();
|
|
#endif
|
|
}
|
|
return m.clone();
|
|
}
|
|
|
|
Mat getTestImage2()
|
|
{
|
|
static Mat m;
|
|
if (m.empty())
|
|
{
|
|
m.create(Size(200, 100), CV_8UC1);
|
|
m.setTo(Scalar::all(128));
|
|
Rect roi(40, 30, 100, 40);
|
|
m(roi).setTo(Scalar::all(255));
|
|
#if 0
|
|
imshow("image", m);
|
|
waitKey();
|
|
#endif
|
|
}
|
|
return m.clone();
|
|
}
|
|
|
|
Mat getTestImage3()
|
|
{
|
|
static Mat m;
|
|
if (m.empty())
|
|
{
|
|
m.create(Size(200, 100), CV_8UC1);
|
|
m.setTo(Scalar::all(128));
|
|
Scalar color(0,0,0,0);
|
|
line(m, Point(30, 50), Point(50, 50), color, 1);
|
|
line(m, Point(50, 50), Point(80, 30), color, 1);
|
|
line(m, Point(150, 50), Point(80, 30), color, 1);
|
|
line(m, Point(150, 50), Point(180, 50), color, 1);
|
|
|
|
line(m, Point(80, 10), Point(80, 90), Scalar::all(200), 1);
|
|
line(m, Point(100, 10), Point(100, 90), Scalar::all(200), 1);
|
|
line(m, Point(120, 10), Point(120, 90), Scalar::all(200), 1);
|
|
#if 0
|
|
imshow("image", m);
|
|
waitKey();
|
|
#endif
|
|
}
|
|
return m.clone();
|
|
}
|
|
|
|
Mat getTestImage4()
|
|
{
|
|
static Mat m;
|
|
if (m.empty())
|
|
{
|
|
m.create(Size(200, 100), CV_8UC1);
|
|
for (int y = 0; y < m.rows; y++)
|
|
{
|
|
for (int x = 0; x < m.cols; x++)
|
|
{
|
|
float dx = (float)(x - 100);
|
|
float dy = (float)(y - 100);
|
|
float d = sqrtf(dx * dx + dy * dy);
|
|
m.at<uchar>(y, x) = saturate_cast<uchar>(100 + 100 * sin(d / 10 * CV_PI));
|
|
}
|
|
}
|
|
#if 0
|
|
imshow("image", m);
|
|
waitKey();
|
|
#endif
|
|
}
|
|
return m.clone();
|
|
}
|
|
|
|
Mat getTestImage5()
|
|
{
|
|
static Mat m;
|
|
if (m.empty())
|
|
{
|
|
m.create(Size(200, 100), CV_8UC1);
|
|
for (int y = 0; y < m.rows; y++)
|
|
{
|
|
for (int x = 0; x < m.cols; x++)
|
|
{
|
|
float dx = (float)(x - 100);
|
|
float dy = (float)(y - 100);
|
|
float d = sqrtf(dx * dx + dy * dy);
|
|
m.at<uchar>(y, x) = saturate_cast<uchar>(x / 2 + 100 * sin(d / 10 * CV_PI));
|
|
}
|
|
}
|
|
#if 0
|
|
imshow("image", m);
|
|
waitKey();
|
|
#endif
|
|
}
|
|
return m.clone();
|
|
}
|
|
|
|
void show(const Mat& img, const std::vector<Point> pts)
|
|
{
|
|
if (cvtest::debugLevel >= 10)
|
|
{
|
|
Mat dst = img.clone();
|
|
std::vector< std::vector<Point> > contours;
|
|
contours.push_back(pts);
|
|
polylines(dst, contours, false, Scalar::all(255));
|
|
imshow("dst", dst);
|
|
waitKey();
|
|
}
|
|
}
|
|
|
|
Size estimateContourSize(const std::vector<Point>& pts)
|
|
{
|
|
Size s(0,0);
|
|
for (size_t i = 0; i < pts.size(); i++)
|
|
{
|
|
if (s.width < pts[i].x)
|
|
s.width = pts[i].x;
|
|
if (s.height < pts[i].y)
|
|
s.height = pts[i].y;
|
|
}
|
|
return s;
|
|
}
|
|
|
|
int contoursAreaPixelsMismatch(const std::vector<Point>& pts, const std::vector<Point>& gt)
|
|
{
|
|
Size ptsSize = estimateContourSize(pts);
|
|
Size gtSize = estimateContourSize(gt);
|
|
|
|
Size imgSize(std::max(ptsSize.width, gtSize.width)+1, std::max(ptsSize.height, gtSize.height)+1);
|
|
Mat ptsArea = Mat::zeros(imgSize, CV_8UC1);
|
|
Mat gtArea = Mat::zeros(imgSize, CV_8UC1);
|
|
|
|
std::vector<std::vector<Point>> pts_wrapped = {pts};
|
|
std::vector<std::vector<Point>> gt_wrapped = {gt};
|
|
drawContours(ptsArea, pts_wrapped, -1, Scalar(255), FILLED);
|
|
drawContours(gtArea, gt_wrapped, -1, Scalar(255), FILLED);
|
|
|
|
Mat uni = ptsArea | gtArea;
|
|
Mat intersection = ptsArea & gtArea;
|
|
bitwise_not(intersection, intersection);
|
|
Mat delta = uni & intersection;
|
|
|
|
return countNonZero(delta);
|
|
}
|
|
|
|
void checkContour(std::vector<Point>& pts,
|
|
const bool backward = false,
|
|
int allowed_mismatch = 0)
|
|
{
|
|
const ::testing::TestInfo* const test_info = ::testing::UnitTest::GetInstance()->current_test_info();
|
|
CV_Assert(test_info);
|
|
const std::string name = std::string(cvtest::TS::ptr()->get_data_path() + "imgproc/" + test_info->test_case_name() + "-" + test_info->name() + (backward ? "-backward" : "") + ".xml");
|
|
|
|
std::vector<Point> reference_pts;
|
|
#ifdef GENERATE_TEST_DATA
|
|
{
|
|
cv::FileStorage fs(name, cv::FileStorage::WRITE);
|
|
fs << "pts" << pts;
|
|
}
|
|
reference_pts = pts;
|
|
#else
|
|
FileStorage fs(name, FileStorage::READ);
|
|
read(fs["pts"], reference_pts, std::vector<Point>());
|
|
#endif
|
|
|
|
if (!allowed_mismatch)
|
|
EXPECT_EQ(pts, reference_pts);
|
|
else
|
|
EXPECT_LE(contoursAreaPixelsMismatch(pts, reference_pts), allowed_mismatch);
|
|
}
|
|
|
|
TEST(Imgproc_IntelligentScissorsMB, rect)
|
|
{
|
|
segmentation::IntelligentScissorsMB tool;
|
|
Mat image = getTestImage1();
|
|
tool.applyImage(image);
|
|
|
|
Point source_point(50, 30);
|
|
tool.buildMap(source_point);
|
|
|
|
Point target_point(100, 30);
|
|
std::vector<Point> pts;
|
|
tool.getContour(target_point, pts);
|
|
checkContour(pts);
|
|
show(image, pts);
|
|
|
|
Mat image2 = getTestImage2();
|
|
tool.applyImage(image2);
|
|
|
|
tool.buildMap(source_point);
|
|
|
|
std::vector<Point> pts2;
|
|
tool.getContour(target_point, pts2, true/*backward*/);
|
|
checkContour(pts2, true/*backward*/);
|
|
show(image2, pts2);
|
|
}
|
|
|
|
TEST(Imgproc_IntelligentScissorsMB, lines)
|
|
{
|
|
segmentation::IntelligentScissorsMB tool;
|
|
Mat image = getTestImage3();
|
|
tool.applyImage(image);
|
|
|
|
Point source_point(30, 50);
|
|
tool.buildMap(source_point);
|
|
|
|
Point target_point(150, 50);
|
|
std::vector<Point> pts;
|
|
tool.getContour(target_point, pts);
|
|
checkContour(pts);
|
|
show(image, pts);
|
|
}
|
|
|
|
TEST(Imgproc_IntelligentScissorsMB, circles)
|
|
{
|
|
segmentation::IntelligentScissorsMB tool;
|
|
tool.setGradientMagnitudeMaxLimit(10);
|
|
|
|
Mat image = getTestImage4();
|
|
tool.applyImage(image);
|
|
|
|
Point source_point(50, 50);
|
|
tool.buildMap(source_point);
|
|
|
|
Point target_point(150, 50);
|
|
std::vector<Point> pts;
|
|
tool.getContour(target_point, pts);
|
|
checkContour(pts);
|
|
show(image, pts);
|
|
}
|
|
|
|
TEST(Imgproc_IntelligentScissorsMB, circles_gradient)
|
|
{
|
|
segmentation::IntelligentScissorsMB tool;
|
|
Mat image = getTestImage5();
|
|
tool.applyImage(image);
|
|
|
|
Point source_point(50, 50);
|
|
tool.buildMap(source_point);
|
|
|
|
Point target_point(150, 50);
|
|
std::vector<Point> pts;
|
|
tool.getContour(target_point, pts);
|
|
checkContour(pts);
|
|
show(image, pts);
|
|
}
|
|
|
|
TEST(Imgproc_IntelligentScissorsMB, grayscale)
|
|
{
|
|
segmentation::IntelligentScissorsMB tool;
|
|
|
|
Mat image = getTestImageGray();
|
|
tool.applyImage(image);
|
|
|
|
Point source_point(275, 63);
|
|
tool.buildMap(source_point);
|
|
|
|
Point target_point(413, 155);
|
|
std::vector<Point> pts;
|
|
tool.getContour(target_point, pts);
|
|
checkContour(pts, false, 2);
|
|
show(image, pts);
|
|
}
|
|
|
|
TEST(Imgproc_IntelligentScissorsMB, check_features_grayscale_1_0_0_zerro_crossing_with_limit)
|
|
{
|
|
segmentation::IntelligentScissorsMB tool;
|
|
tool.setEdgeFeatureZeroCrossingParameters(64);
|
|
tool.setWeights(1.0f, 0.0f, 0.0f);
|
|
|
|
Mat image = getTestImageGray();
|
|
tool.applyImage(image);
|
|
|
|
Point source_point(275, 63);
|
|
tool.buildMap(source_point);
|
|
|
|
Point target_point(413, 155);
|
|
std::vector<Point> pts;
|
|
tool.getContour(target_point, pts);
|
|
checkContour(pts, false, 11);
|
|
show(image, pts);
|
|
}
|
|
|
|
TEST(Imgproc_IntelligentScissorsMB, check_features_grayscale_1_0_0_canny)
|
|
{
|
|
segmentation::IntelligentScissorsMB tool;
|
|
tool.setEdgeFeatureCannyParameters(50, 100);
|
|
tool.setWeights(1.0f, 0.0f, 0.0f);
|
|
|
|
Mat image = getTestImageGray();
|
|
tool.applyImage(image);
|
|
|
|
Point source_point(275, 63);
|
|
tool.buildMap(source_point);
|
|
|
|
Point target_point(413, 155);
|
|
std::vector<Point> pts;
|
|
tool.getContour(target_point, pts);
|
|
checkContour(pts, false, 6);
|
|
show(image, pts);
|
|
}
|
|
|
|
TEST(Imgproc_IntelligentScissorsMB, check_features_grayscale_0_1_0)
|
|
{
|
|
segmentation::IntelligentScissorsMB tool;
|
|
tool.setWeights(0.0f, 1.0f, 0.0f);
|
|
|
|
Mat image = getTestImageGray();
|
|
tool.applyImage(image);
|
|
|
|
Point source_point(275, 63);
|
|
tool.buildMap(source_point);
|
|
|
|
Point target_point(413, 155);
|
|
std::vector<Point> pts;
|
|
tool.getContour(target_point, pts);
|
|
checkContour(pts, false, 4);
|
|
show(image, pts);
|
|
}
|
|
|
|
TEST(Imgproc_IntelligentScissorsMB, check_features_grayscale_0_0_1)
|
|
{
|
|
segmentation::IntelligentScissorsMB tool;
|
|
tool.setWeights(0.0f, 0.0f, 1.0f);
|
|
|
|
Mat image = getTestImageGray();
|
|
tool.applyImage(image);
|
|
|
|
Point source_point(275, 63);
|
|
tool.buildMap(source_point);
|
|
|
|
Point target_point(413, 155);
|
|
std::vector<Point> pts;
|
|
tool.getContour(target_point, pts);
|
|
checkContour(pts, false, 2);
|
|
show(image, pts);
|
|
}
|
|
|
|
TEST(Imgproc_IntelligentScissorsMB, color)
|
|
{
|
|
segmentation::IntelligentScissorsMB tool;
|
|
|
|
Mat image = getTestImageColor();
|
|
tool.applyImage(image);
|
|
|
|
Point source_point(275, 63);
|
|
tool.buildMap(source_point);
|
|
|
|
Point target_point(413, 155);
|
|
std::vector<Point> pts;
|
|
tool.getContour(target_point, pts);
|
|
checkContour(pts, false, 2);
|
|
show(image, pts);
|
|
}
|
|
|
|
TEST(Imgproc_IntelligentScissorsMB, color_canny)
|
|
{
|
|
segmentation::IntelligentScissorsMB tool;
|
|
tool.setEdgeFeatureCannyParameters(32, 100);
|
|
|
|
Mat image = getTestImageColor();
|
|
tool.applyImage(image);
|
|
|
|
Point source_point(275, 63);
|
|
tool.buildMap(source_point);
|
|
|
|
Point target_point(413, 155);
|
|
std::vector<Point> pts;
|
|
tool.getContour(target_point, pts);
|
|
checkContour(pts, false, 2);
|
|
show(image, pts);
|
|
}
|
|
|
|
|
|
TEST(Imgproc_IntelligentScissorsMB, color_custom_features_invalid)
|
|
{
|
|
segmentation::IntelligentScissorsMB tool;
|
|
ASSERT_ANY_THROW(tool.applyImageFeatures(noArray(), noArray(), noArray()));
|
|
}
|
|
|
|
TEST(Imgproc_IntelligentScissorsMB, color_custom_features_edge)
|
|
{
|
|
segmentation::IntelligentScissorsMB tool;
|
|
|
|
Mat image = getTestImageColor();
|
|
|
|
Mat canny_edges;
|
|
Canny(image, canny_edges, 32, 100, 5);
|
|
Mat binary_edge_feature;
|
|
cv::threshold(canny_edges, binary_edge_feature, 254, 1, THRESH_BINARY_INV);
|
|
tool.applyImageFeatures(binary_edge_feature, noArray(), noArray(), image);
|
|
|
|
Point source_point(275, 63);
|
|
tool.buildMap(source_point);
|
|
|
|
Point target_point(413, 155);
|
|
std::vector<Point> pts;
|
|
tool.getContour(target_point, pts);
|
|
checkContour(pts, false, 2);
|
|
show(image, pts);
|
|
}
|
|
|
|
TEST(Imgproc_IntelligentScissorsMB, color_custom_features_all)
|
|
{
|
|
segmentation::IntelligentScissorsMB tool;
|
|
|
|
tool.setWeights(0.9f, 0.0f, 0.1f);
|
|
|
|
Mat image = getTestImageColor();
|
|
|
|
Mat canny_edges;
|
|
Canny(image, canny_edges, 50, 100, 5);
|
|
Mat binary_edge_feature; // 0, 1 values
|
|
cv::threshold(canny_edges, binary_edge_feature, 254, 1, THRESH_BINARY_INV);
|
|
|
|
Mat_<Point2f> gradient_direction(image.size(), Point2f(0, 0)); // normalized
|
|
Mat_<float> gradient_magnitude(image.size(), 0); // cost function
|
|
tool.applyImageFeatures(binary_edge_feature, gradient_direction, gradient_magnitude);
|
|
|
|
Point source_point(275, 63);
|
|
tool.buildMap(source_point);
|
|
|
|
Point target_point(413, 155);
|
|
std::vector<Point> pts;
|
|
tool.getContour(target_point, pts);
|
|
checkContour(pts, false, 9);
|
|
show(image, pts);
|
|
}
|
|
|
|
TEST(Imgproc_IntelligentScissorsMB, color_custom_features_edge_magnitude)
|
|
{
|
|
segmentation::IntelligentScissorsMB tool;
|
|
|
|
tool.setWeights(0.9f, 0.0f, 0.1f);
|
|
|
|
Mat image = getTestImageColor();
|
|
|
|
Mat canny_edges;
|
|
Canny(image, canny_edges, 50, 100, 5);
|
|
Mat binary_edge_feature; // 0, 1 values
|
|
cv::threshold(canny_edges, binary_edge_feature, 254, 1, THRESH_BINARY_INV);
|
|
|
|
Mat_<float> gradient_magnitude(image.size(), 0); // cost function
|
|
tool.applyImageFeatures(binary_edge_feature, noArray(), gradient_magnitude);
|
|
|
|
Point source_point(275, 63);
|
|
tool.buildMap(source_point);
|
|
|
|
Point target_point(413, 155);
|
|
std::vector<Point> pts;
|
|
tool.getContour(target_point, pts);
|
|
checkContour(pts, false, 9);
|
|
show(image, pts);
|
|
}
|
|
|
|
|
|
}} // namespace
|