diff --git a/src/recognition.cpp b/src/recognition.cpp
index 174ce8bbd0594cc5363ad9e54e51409afdf3383d..0713905348fea0766cbc7ee7be940dfe8a8b8161 100644
--- a/src/recognition.cpp
+++ b/src/recognition.cpp
@@ -203,6 +203,19 @@ Vec2F autoCorrectColorMarker(Vec2F &boxImageCentre, Control *controlWidget)
ColorParameters param;
setColorParameter(options.fromColor, options.toColor, options.invHue, param);
+ // Marker Color is set according to the color which is searched
+ // Calculating is only neccessary for casern-marker like markers
+ const QColor markerColor = [param](){
+ if (param.inversHue)
+ {
+ return QColor::fromHsv(2*((param.h_low+(param.h_high-param.h_low)/2+90)%180),
+ (param.s_high + param.s_low)/2,
+ (param.v_high + param.v_low)/2);
+ }
+ return QColor::fromHsv(2*(param.h_low+(param.h_high-param.h_low)/2),
+ (param.s_high + param.s_low)/2,
+ (param.v_high + param.v_low)/2);
+ }(); // Lambda so markerColor can be const
cv::Mat img = options.img;
cv::Mat binary = options.binary;
@@ -261,31 +274,13 @@ Vec2F autoCorrectColorMarker(Vec2F &boxImageCentre, Control *controlWidget)
continue;
}
- int cx = static_cast<int>(std::lround(box.center.x));
- int cy = static_cast<int>(std::lround(box.center.y));
- int add = static_cast<int>(std::min(box.size.height,box.size.width)/4);
-
- QColor col, col2;
- // color for hat measured at 3 points
- col.setRgb(getValue(img,cx,cy).rgb());
- col2.setRgb(getValue(img,cx+add,cy).rgb());
- if (col.value()<col2.value()) // take brighter color
- {
- col = col2;
- }
- col2.setRgb(getValue(img,cx-add,cy).rgb());
- if (col.value()<col2.value()) // take brighter color
- {
- col = col2;
- }
-
// centre of rect in the coordinates of the whole image (instead of ROI)
Vec2F boxImageCentre = options.offset;
boxImageCentre.setX(boxImageCentre.x()+static_cast<double>(box.center.x));
boxImageCentre.setY(boxImageCentre.y()+static_cast<double>(box.center.y));
// TODO maybe use move constructor to increase perf for contour(then not const anymore)
- colorBlobs.push_back({box, boxImageCentre, col, contour, static_cast<double>(maxExpansion)});
+ colorBlobs.push_back({box, boxImageCentre, markerColor, contour, static_cast<double>(maxExpansion)});
}
return colorBlobs;
}
diff --git a/tests/regression_test/data/multicolor_truth.trc b/tests/regression_test/data/multicolor_truth.trc
index 273534281693727d26f8139d2eecda5fb1b3bf2c..34bef1844b8d66668b3e38995df7c9a174b66357 100644
--- a/tests/regression_test/data/multicolor_truth.trc
+++ b/tests/regression_test/data/multicolor_truth.trc
@@ -1,724 +1,1097 @@
version 4
88
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diff --git a/tests/regression_test/data/multicolor_truth.txt b/tests/regression_test/data/multicolor_truth.txt
index c49a213896e049ae8930a02fefc5e6f0186b0013..78a43533a13ab1e4b15da7d431b58d4b5cd00e32 100644
--- a/tests/regression_test/data/multicolor_truth.txt
+++ b/tests/regression_test/data/multicolor_truth.txt
@@ -3,379 +3,752 @@
# framerate: 25 fps
# z: can be 3d position or height of person (alternating or not)
# id frame x/m y/m z/m
-1 0 11.4654 0.0578162 1.58
-1 1 11.4711 0.0606653 1.58
-1 2 11.4711 0.0634959 1.58
-1 3 11.4625 0.0578081 1.58
-1 4 11.4626 0.0634706 1.58
-1 5 11.4568 0.05496 1.58
-1 6 11.4568 0.0606224 1.58
-1 7 11.4568 0.0606224 1.58
-1 8 11.4597 0.0606306 1.58
-1 9 11.4596 0.0570728 1.58
-1 10 11.4583 0.0592106 1.58
-1 11 11.4583 0.062042 1.58
-1 12 11.4569 0.0662837 1.58
-1 13 11.4603 0.069846 1.58
-1 14 11.4598 0.0719566 1.58
-1 15 11.4598 0.0776208 1.58
-1 16 11.4584 0.0761999 1.58
-1 17 11.4626 0.0776292 1.58
-1 18 11.458 0.0865023 1.58
-1 19 11.457 0.0861074 1.58
-1 20 11.4542 0.0945979 1.58
-1 21 11.4542 0.100263 1.58
-1 22 11.4546 0.10057 1.58
-1 23 11.4542 0.108764 1.58
-1 24 11.4542 0.105931 1.58
-1 25 11.4542 0.105931 1.58
-1 26 11.4543 0.111597 1.58
-1 27 11.4543 0.114431 1.58
-1 28 11.4543 0.1201 1.58
-1 29 11.4572 0.125779 1.58
-1 30 11.4515 0.128594 1.58
-1 31 11.4458 0.134245 1.58
-1 32 11.4453 0.135377 1.58
-1 33 11.4398 0.137648 1.58
-1 34 11.4373 0.142722 1.58
-1 35 11.4306 0.143217 1.58
-1 36 11.424 0.145665 1.58
-1 37 11.4174 0.142655 1.58
-1 38 11.4032 0.145442 1.58
-1 39 11.3918 0.142569 1.58
-1 40 11.3775 0.136852 1.58
-1 41 11.3547 0.133942 1.58
-1 42 11.3405 0.128228 1.58
-1 43 11.319 0.120427 1.58
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-1 160 7.49601 0.0338703 1.58
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-1 167 7.17202 -0.0137187 1.58
-1 168 7.13774 -0.0246422 1.58
-1 169 7.09202 -0.0423629 1.58
-1 170 7.05524 -0.057887 1.58
-1 171 7.00721 -0.0717557 1.58
-1 172 6.95125 -0.0883779 1.58
-1 173 6.90321 -0.0994746 1.58
-1 174 6.84965 -0.105084 1.58
-1 175 6.80269 -0.10656 1.58
-1 176 6.75577 -0.108034 1.58
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-1 179 6.63382 -0.109671 1.58
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-1 181 6.5628 -0.103848 1.58
-1 182 6.5245 -0.0999533 1.58
-1 183 6.47934 -0.0949487 1.58
-1 184 6.42745 -0.0890269 1.58
-1 185 6.37256 -0.0979283 1.58
-1 186 6.31711 -0.0865643 1.58
-1 187 6.26529 -0.0944649 1.58
-1 188 6.2189 -0.101525 1.58
-1 189 6.16828 -0.106848 1.58
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-1 195 5.91732 -0.158636 1.58
-1 196 5.8494 -0.167277 1.58
-2 0 11.8187 0.963401 1.58
-2 1 11.8187 0.963401 1.58
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-2 5 11.8172 0.961952 1.58
-2 6 11.8129 0.960483 1.58
-2 7 11.8129 0.960483 1.58
-2 8 11.8201 0.956214 1.58
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-2 10 11.82 0.950459 1.58
-2 11 11.8042 0.948907 1.58
-2 12 11.8042 0.946031 1.58
-2 13 11.8113 0.936005 1.58
-2 14 11.8055 0.933084 1.58
-2 15 11.7954 0.928698 1.58
-2 16 11.8025 0.915803 1.58
-2 17 11.7967 0.910008 1.58
-2 18 11.7938 0.904236 1.58
-2 19 11.7851 0.895549 1.58
-2 20 11.7793 0.886883 1.58
-2 21 11.7735 0.881093 1.58
-2 22 11.7677 0.875306 1.58
-2 23 11.7562 0.869478 1.58
-2 24 11.7401 0.869942 1.58
-2 25 11.7331 0.860703 1.58
-2 26 11.7164 0.855992 1.58
-2 27 11.7029 0.859066 1.58
-2 28 11.6929 0.857561 1.58
-2 29 11.6699 0.860282 1.58
-2 30 11.6549 0.865484 1.58
-2 31 11.6378 0.869831 1.58
-2 32 11.6125 0.871388 1.58
-2 33 11.5941 0.879652 1.58
-2 34 11.5709 0.88116 1.58
-2 35 11.548 0.88962 1.58
-2 36 11.5323 0.896697 1.58
-2 37 11.5036 0.905115 1.58
-2 38 11.4807 0.913575 1.58
-2 39 11.4549 0.922018 1.58
-2 40 11.4334 0.929046 1.58
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-2 42 11.3847 0.940198 1.58
-2 43 11.356 0.939993 1.58
-2 44 11.3288 0.941241 1.58
-2 45 11.3001 0.943909 1.58
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-2 47 11.2486 0.929201 1.58
-2 48 11.2085 0.931792 1.58
-2 49 11.1827 0.917276 1.58
-2 50 11.1484 0.905569 1.58
-2 51 11.1112 0.899585 1.58
-2 52 11.0855 0.882223 1.58
-2 53 11.0483 0.881974 1.58
-2 54 11.0183 0.871753 1.58
-2 55 10.9855 0.867245 1.58
-2 56 10.9512 0.858433 1.58
-2 57 10.9141 0.852469 1.58
-2 58 10.8828 0.849404 1.58
-2 59 10.85 0.844901 1.58
-2 60 10.8178 0.841547 1.58
-2 61 10.783 0.84875 1.58
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+65 98 6.58759 0.418493 1.92
+65 99 6.53832 0.407965 1.92
+65 100 6.49582 0.383699 1.92
+65 101 6.44641 0.366196 1.92
+65 102 6.38843 0.33849 1.92
+65 103 6.32134 0.319186 1.92
+65 104 6.25357 0.309324 1.92
+65 105 6.1926 0.302064 1.92
66 0 10.8399 -0.826726 1.46
66 1 10.8416 -0.827733 1.46
66 2 10.8416 -0.827733 1.46
diff --git a/tests/regression_test/tests/test_tracker_txt.py b/tests/regression_test/tests/test_tracker_txt.py
index a7beabf747eda4309345f991a53e75a7ca92f60d..6490abb3cca7b449c52bbd4988083d1b956c31b6 100644
--- a/tests/regression_test/tests/test_tracker_txt.py
+++ b/tests/regression_test/tests/test_tracker_txt.py
@@ -151,7 +151,7 @@ class TestTrackerTxt:
min_diff = -1
for test_person in test_file:
diff = self.calc_diff(truth_person, test_person)
- if min_diff == -1:
+ if min_diff == -1 and diff < self.MAX_DIFF:
min_diff = diff
match = test_person
elif diff < min_diff and diff < self.MAX_DIFF:
@@ -212,4 +212,4 @@ class TestTrackerTxt:
return self.MAX_DIFF
# tester = TestTrackerTxt()
-# tester.test_e2e_via_txt(("markerJapan_test", "markerJapan_truth"))
+# tester.test_e2e_via_txt(("./blackdotMarker_test", "./blackdotMarker_truth"))