Merge pull request #3361 from mshabunin:fix-drawing
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commit
e19a12f655
@ -75,11 +75,12 @@ void CV_DrawingTest::run( int )
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}
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else
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{
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float err = (float)cvtest::norm( testImg, valImg, CV_RELATIVE_L1 );
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float Eps = 0.9f;
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// image should match exactly
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float err = (float)cvtest::norm( testImg, valImg, NORM_L1 );
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float Eps = 1;
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if( err > Eps)
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{
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ts->printf( ts->LOG, "CV_RELATIVE_L1 between testImg and valImg is equal %f (larger than %f)\n", err, Eps );
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ts->printf( ts->LOG, "NORM_L1 between testImg and valImg is equal %f (larger than %f)\n", err, Eps );
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ts->set_failed_test_info(cvtest::TS::FAIL_BAD_ACCURACY);
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}
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else
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@ -261,6 +262,7 @@ void CV_DrawingTest_C::draw( Mat& _img )
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polyline[3] = cvPoint(0, imgSize.height);
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CvPoint* pts = &polyline[0];
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int n = (int)polyline.size();
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int actualSize = 0;
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cvFillPoly( &img, &pts, &n, 1, cvScalar(255,255,255) );
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CvPoint p1 = cvPoint(1,1), p2 = cvPoint(3,3);
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@ -290,7 +292,8 @@ void CV_DrawingTest_C::draw( Mat& _img )
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polyline.resize(9);
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pts = &polyline[0];
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n = (int)polyline.size();
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assert( cvEllipse2Poly( cvPoint(430,180), cvSize(100,150), 30, 0, 150, &polyline[0], 20 ) == n );
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actualSize = cvEllipse2Poly( cvPoint(430,180), cvSize(100,150), 30, 0, 150, &polyline[0], 20 );
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CV_Assert(actualSize == n);
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cvPolyLine( &img, &pts, &n, 1, false, cvScalar(0,0,150), 4, CV_AA );
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n = 0;
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for( vector<CvPoint>::const_iterator it = polyline.begin(); n < (int)polyline.size()-1; ++it, n++ )
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@ -301,7 +304,8 @@ void CV_DrawingTest_C::draw( Mat& _img )
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polyline.resize(19);
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pts = &polyline[0];
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n = (int)polyline.size();
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assert( cvEllipse2Poly( cvPoint(500,300), cvSize(50,80), 0, 0, 180, &polyline[0], 10 ) == n );
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actualSize = cvEllipse2Poly( cvPoint(500,300), cvSize(50,80), 0, 0, 180, &polyline[0], 10 );
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CV_Assert(actualSize == n);
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cvPolyLine( &img, &pts, &n, 1, true, Scalar(100,200,100), 20 );
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cvFillConvexPoly( &img, pts, n, cvScalar(0, 80, 0) );
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@ -147,10 +147,13 @@ 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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double n = cvtest::norm(img, img_test, NORM_L2);
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if ( n > 1.0)
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// JPEG format does not provide 100% accuracy
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// using fuzzy image comparison
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double n = cvtest::norm(img, img_test, NORM_L1);
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double expected = 0.05 * img.size().area();
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if ( n > expected)
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{
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ts->printf(ts->LOG, "norm = %f \n", n);
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ts->printf(ts->LOG, "norm = %f > expected = %f \n", n, expected);
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ts->set_failed_test_info(ts->FAIL_MISMATCH);
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}
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}
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@ -108,7 +108,7 @@ TEST(Videoio_Video, actual_resolution)
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}
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}
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TEST(Videoio_Video, prop_fps)
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TEST(Videoio_Video, DISABLED_prop_fps)
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{
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const size_t n = sizeof(ext)/sizeof(ext[0]);
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const string src_dir = TS::ptr()->get_data_path();
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