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https://github.com/opencv/opencv.git
synced 2024-11-24 11:10:21 +08:00
added reasonable test for MSER (including coverage for http://code.opencv.org/issues/4273, http://code.opencv.org/issues/1723 and http://code.opencv.org/issues/756); also, added some "in-progress" info to the Features2d_Feature2d.no_crash test.
This commit is contained in:
Vadim Pisarevsky
parent
fede94e979
commit
dab78c26b1
@ -390,45 +390,52 @@ TEST( Features2d_Feature2d, no_crash )
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size_t i, n = fnames.size();
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vector<KeyPoint> keypoints;
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Mat descriptors;
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orb->setMaxFeatures(5000);
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for( i = 0; i < n; i++ )
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{
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printf("%d. image: %s:\n", (int)i, fnames[i].c_str());
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if( strstr(fnames[i].c_str(), "MP.png") != 0 )
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continue;
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bool checkCount = strstr(fnames[i].c_str(), "templ.png") == 0;
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Mat img = imread(fnames[i], -1);
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printf("\tAKAZE ... "); fflush(stdout);
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akaze->detectAndCompute(img, noArray(), keypoints, descriptors);
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printf("(%d keypoints) ", (int)keypoints.size()); fflush(stdout);
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if( checkCount )
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{
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ASSERT_GT((int)keypoints.size(), 0);
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EXPECT_GT((int)keypoints.size(), 0);
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}
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ASSERT_EQ(descriptors.rows, (int)keypoints.size());
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printf("ok\n");
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printf("\tKAZE ... "); fflush(stdout);
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kaze->detectAndCompute(img, noArray(), keypoints, descriptors);
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printf("(%d keypoints) ", (int)keypoints.size()); fflush(stdout);
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if( checkCount )
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{
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ASSERT_GT((int)keypoints.size(), 0);
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EXPECT_GT((int)keypoints.size(), 0);
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}
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ASSERT_EQ(descriptors.rows, (int)keypoints.size());
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printf("ok\n");
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printf("\tORB ... "); fflush(stdout);
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orb->detectAndCompute(img, noArray(), keypoints, descriptors);
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printf("(%d keypoints) ", (int)keypoints.size()); fflush(stdout);
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if( checkCount )
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{
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ASSERT_GT((int)keypoints.size(), 0);
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EXPECT_GT((int)keypoints.size(), 0);
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}
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ASSERT_EQ(descriptors.rows, (int)keypoints.size());
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printf("ok\n");
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printf("\tBRISK ... "); fflush(stdout);
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brisk->detectAndCompute(img, noArray(), keypoints, descriptors);
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printf("(%d keypoints) ", (int)keypoints.size()); fflush(stdout);
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if( checkCount )
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{
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ASSERT_GT((int)keypoints.size(), 0);
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EXPECT_GT((int)keypoints.size(), 0);
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}
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ASSERT_EQ(descriptors.rows, (int)keypoints.size());
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printf("ok\n");
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@ -41,171 +41,121 @@
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//M*/
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#include "test_precomp.hpp"
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#include "opencv2/imgproc/imgproc_c.h"
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#if 0
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#include "opencv2/highgui.hpp"
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#include <vector>
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#include <string>
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using namespace std;
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using namespace cv;
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class CV_MserTest : public cvtest::BaseTest
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#undef RENDER_MSERS
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#define RENDER_MSERS 0
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#if defined RENDER_MSERS && RENDER_MSERS
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static void renderMSERs(const Mat& gray, Mat& img, const vector<vector<Point> >& msers)
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{
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public:
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CV_MserTest();
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protected:
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void run(int);
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int LoadBoxes(const char* path, vector<CvBox2D>& boxes);
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int SaveBoxes(const char* path, const vector<CvBox2D>& boxes);
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int CompareBoxes(const vector<CvBox2D>& boxes1,const vector<CvBox2D>& boxes2, float max_rel_diff = 0.01f);
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};
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CV_MserTest::CV_MserTest()
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{
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}
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int CV_MserTest::LoadBoxes(const char* path, vector<CvBox2D>& boxes)
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{
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boxes.clear();
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FILE* f = fopen(path,"r");
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if (f==NULL)
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cvtColor(gray, img, COLOR_GRAY2BGR);
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RNG rng((uint64)1749583);
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for( int i = 0; i < (int)msers.size(); i++ )
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{
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return 0;
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}
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uchar b = rng.uniform(0, 256);
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uchar g = rng.uniform(0, 256);
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uchar r = rng.uniform(0, 256);
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Vec3b color(b, g, r);
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while (!feof(f))
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{
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CvBox2D box;
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int values_read = fscanf(f,"%f,%f,%f,%f,%f\n",&box.angle,&box.center.x,&box.center.y,&box.size.width,&box.size.height);
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CV_Assert(values_read == 5);
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boxes.push_back(box);
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}
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fclose(f);
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return 1;
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}
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int CV_MserTest::SaveBoxes(const char* path, const vector<CvBox2D>& boxes)
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{
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FILE* f = fopen(path,"w");
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if (f==NULL)
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{
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return 0;
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}
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for (int i=0;i<(int)boxes.size();i++)
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{
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fprintf(f,"%f,%f,%f,%f,%f\n",boxes[i].angle,boxes[i].center.x,boxes[i].center.y,boxes[i].size.width,boxes[i].size.height);
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}
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fclose(f);
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return 1;
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}
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int CV_MserTest::CompareBoxes(const vector<CvBox2D>& boxes1,const vector<CvBox2D>& boxes2, float max_rel_diff)
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{
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if (boxes1.size() != boxes2.size())
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return 0;
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for (int i=0; i<(int)boxes1.size();i++)
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{
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float rel_diff;
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if (!((boxes1[i].angle == 0.0f) && (abs(boxes2[i].angle) < max_rel_diff)))
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{
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float angle_diff = (float)fmod(boxes1[i].angle - boxes2[i].angle, 180);
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// for angular correctness, it makes no sense to use a "relative" error.
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// a 1-degree error around 5 degrees is equally bas as around 250 degrees.
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// in correct cases, angle_diff can now be a bit above 0 or a bit below 180
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if (angle_diff > 90.0f)
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{
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angle_diff -= 180.0f;
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}
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rel_diff = (float)fabs(angle_diff);
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if (rel_diff > max_rel_diff)
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return i;
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}
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if (!((boxes1[i].center.x == 0.0f) && (abs(boxes2[i].center.x) < max_rel_diff)))
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{
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rel_diff = abs(boxes1[i].center.x-boxes2[i].center.x)/abs(boxes1[i].center.x);
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if (rel_diff > max_rel_diff)
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return i;
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}
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if (!((boxes1[i].center.y == 0.0f) && (abs(boxes2[i].center.y) < max_rel_diff)))
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{
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rel_diff = abs(boxes1[i].center.y-boxes2[i].center.y)/abs(boxes1[i].center.y);
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if (rel_diff > max_rel_diff)
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return i;
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}
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if (!((boxes1[i].size.width == 0.0f) && (abs(boxes2[i].size.width) < max_rel_diff)))
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{
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rel_diff = abs(boxes1[i].size.width-boxes2[i].size.width)/abs(boxes1[i].size.width);
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if (rel_diff > max_rel_diff)
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return i;
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}
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if (!((boxes1[i].size.height == 0.0f) && (abs(boxes2[i].size.height) < max_rel_diff)))
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{
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rel_diff = abs(boxes1[i].size.height-boxes2[i].size.height)/abs(boxes1[i].size.height);
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if (rel_diff > max_rel_diff)
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return i;
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}
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}
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return -1;
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}
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void CV_MserTest::run(int)
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{
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string image_path = string(ts->get_data_path()) + "mser/puzzle.png";
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Mat img = imread( image_path );
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if (img.empty())
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{
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ts->printf( cvtest::TS::LOG, "Unable to open image mser/puzzle.png\n");
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ts->set_failed_test_info(cvtest::TS::FAIL_MISSING_TEST_DATA);
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return;
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}
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Mat yuv;
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cvtColor(img, yuv, COLOR_BGR2YCrCb);
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vector<vector<Point> > msers;
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MSER()(yuv, msers);
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vector<CvBox2D> boxes;
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vector<CvBox2D> boxes_orig;
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for ( size_t i = 0; i < msers.size(); i++ )
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{
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RotatedRect box = fitEllipse(msers[i]);
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box.angle=(float)CV_PI/2-box.angle;
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boxes.push_back(box);
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}
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string boxes_path = string(ts->get_data_path()) + "mser/boxes.txt";
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string calc_boxes_path = string(ts->get_data_path()) + "mser/boxes.calc.txt";
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if (!LoadBoxes(boxes_path.c_str(),boxes_orig))
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{
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SaveBoxes(boxes_path.c_str(),boxes);
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ts->printf( cvtest::TS::LOG, "Unable to open data file mser/boxes.txt\n");
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ts->set_failed_test_info(cvtest::TS::FAIL_MISSING_TEST_DATA);
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return;
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}
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const float dissimularity = 0.01f;
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int n_box = CompareBoxes(boxes_orig,boxes,dissimularity);
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if (n_box < 0)
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{
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ts->set_failed_test_info(cvtest::TS::OK);
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}
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else
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{
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SaveBoxes(calc_boxes_path.c_str(), boxes);
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ts->set_failed_test_info(cvtest::TS::FAIL_BAD_ACCURACY);
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ts->printf( cvtest::TS::LOG, "Incorrect correspondence in box %d\n",n_box);
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const Point* pt = &msers[i][0];
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size_t j, n = msers[i].size();
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for( j = 0; j < n; j++ )
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img.at<Vec3b>(pt[j]) = color;
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}
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}
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TEST(Features2d_MSER, DISABLED_regression) { CV_MserTest test; test.safe_run(); }
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#endif
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TEST(Features2d_MSER, cases)
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{
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uchar buf[] =
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{
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255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
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255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
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255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
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255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
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255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
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255, 255, 255, 255, 255, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 255, 255, 255, 255,
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255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 255, 255, 255, 255,
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255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 255, 255, 255, 255,
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255, 255, 255, 255, 255, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 255, 255, 255, 255,
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255, 255, 255, 255, 255, 255, 0, 0, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 0, 0, 255, 255, 255, 255, 255,
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255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
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255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
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255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
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255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255
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};
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Mat big_image = imread(cvtest::TS::ptr()->get_data_path() + "mser/puzzle.png", 0);
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Mat small_image(14, 26, CV_8U, buf);
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static const int thresharr[] = { 0, 70, 120, 180, 255 };
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const int kDelta = 5;
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Ptr<MSER> mserExtractor = MSER::create( kDelta );
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vector<vector<Point> > msers;
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vector<Rect> boxes;
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RNG& rng = theRNG();
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for( int i = 0; i < 30; i++ )
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{
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bool use_big_image = rng.uniform(0, 7) != 0;
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bool invert = rng.uniform(0, 2) != 0;
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bool binarize = use_big_image ? rng.uniform(0, 5) != 0 : false;
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bool blur = rng.uniform(0, 2) != 0;
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int thresh = thresharr[rng.uniform(0, 5)];
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/*if( i == 0 )
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{
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use_big_image = true;
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invert = binarize = blur = false;
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}*/
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const Mat& src0 = use_big_image ? big_image : small_image;
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Mat src = src0.clone();
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int kMinArea = use_big_image ? 256 : 10;
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int kMaxArea = (int)src.total()/4;
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mserExtractor->setMinArea(kMinArea);
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mserExtractor->setMaxArea(kMaxArea);
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if( invert )
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bitwise_not(src, src);
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if( binarize )
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threshold(src, src, thresh, 255, THRESH_BINARY);
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if( blur )
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GaussianBlur(src, src, Size(5, 5), 1.5, 1.5);
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int minRegs = use_big_image ? 10 : 2;
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int maxRegs = use_big_image ? 1000 : 10;
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if( binarize && (thresh == 0 || thresh == 255) )
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minRegs = maxRegs = 0;
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mserExtractor->detectRegions( src, msers, boxes );
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int nmsers = (int)msers.size();
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ASSERT_EQ(nmsers, (int)boxes.size());
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if( maxRegs < nmsers || minRegs > nmsers )
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{
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printf("%d. minArea=%d, maxArea=%d, nmsers=%d, minRegs=%d, maxRegs=%d, "
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"image=%s, invert=%d, binarize=%d, thresh=%d, blur=%d\n",
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i, kMinArea, kMaxArea, nmsers, minRegs, maxRegs, use_big_image ? "big" : "small",
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(int)invert, (int)binarize, thresh, (int)blur);
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#if defined RENDER_MSERS && RENDER_MSERS
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Mat image;
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imshow("source", src);
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renderMSERs(src, image, msers);
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imshow("result", image);
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waitKey();
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#endif
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}
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ASSERT_LE(minRegs, nmsers);
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ASSERT_GE(maxRegs, nmsers);
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}
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}
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