| <?xml version="1.0"?> | |
| <!-- | |
| This is 12x80 detector of the silverware (forks, spoons, knives) using LBP features. | |
| It was created by Attila Novak during GSoC 2012. | |
| Note that the detector only detects vertically oriented silverware, | |
| so you should care of the proper image orientation | |
| (probably should run detector several times). | |
| It also assumes the "top view" when the camera optical axis is orthogonal to the table plane. | |
| --> | |
| <opencv_storage> | |
| <cascade> | |
| <stageType>BOOST</stageType> | |
| <featureType>LBP</featureType> | |
| <height>80</height> | |
| <width>12</width> | |
| <stageParams> | |
| <boostType>GAB</boostType> | |
| <minHitRate>9.9500000476837158e-001</minHitRate> | |
| <maxFalseAlarm>3.0000001192092896e-001</maxFalseAlarm> | |
| <weightTrimRate>9.4999999999999996e-001</weightTrimRate> | |
| <maxDepth>1</maxDepth> | |
| <maxWeakCount>100</maxWeakCount></stageParams> | |
| <featureParams> | |
| <maxCatCount>256</maxCatCount> | |
| <featSize>1</featSize></featureParams> | |
| <stageNum>16</stageNum> | |
| <stages> | |
| <!-- stage 0 --> | |
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| <!-- stage 3 --> | |
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| <!-- stage 4 --> | |
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| <!-- stage 5 --> | |
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| <!-- stage 6 --> | |
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| <!-- stage 8 --> | |
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| <!-- stage 9 --> | |
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| <_> | |
| <internalNodes> | |
| 0 -1 66 258608606 -1120993285 -419517441 -578240642 | |
| -1879056401 -1101037569 -13383 -28301584</internalNodes> | |
| <leafValues> | |
| -3.9371734857559204e-001 5.2872020006179810e-001</leafValues></_> | |
| <_> | |
| <internalNodes> | |
| 0 -1 117 -350280689 -829730738 -1073461695 38377489 | |
| -645158785 839057410 -1249137694 1882566387</internalNodes> | |
| <leafValues> | |
| -5.7474929094314575e-001 3.8859930634498596e-001</leafValues></_> | |
| <_> | |
| <internalNodes> | |
| 0 -1 34 1536523031 -952168281 -1855975139 -854621937 | |
| -939095838 -1744699368 -796270511 1582955555</internalNodes> | |
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| <_> | |
| <internalNodes> | |
| 0 -1 51 1393782562 319525363 8471383 1368384004 889651722 | |
| 1921550554 -1836930098 1660195204</internalNodes> | |
| <leafValues> | |
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| <_> | |
| <internalNodes> | |
| 0 -1 78 1675075922 637567168 -2130116204 -1890844654 | |
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| <_> | |
| <internalNodes> | |
| 0 -1 7 1164149387 1433912608 16876979 1595080980 1275865262 | |
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| -5.0643980503082275e-001 4.4159597158432007e-001</leafValues></_> | |
| <_> | |
| <internalNodes> | |
| 0 -1 129 -111949961 -783789413 268583504 -923765997 | |
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| <!-- stage 10 --> | |
| <_> | |
| <maxWeakCount>11</maxWeakCount> | |
| <stageThreshold>-6.9445723295211792e-001</stageThreshold> | |
| <weakClassifiers> | |
| <_> | |
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| 0 -1 106 -487588613 -118095873 -1 2109472735 -1258291202 | |
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| <_> | |
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| <_> | |
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| -1926723379 244908044 -113047169 1414649856</internalNodes> | |
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| <_> | |
| <internalNodes> | |
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| <_> | |
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| 0 -1 107 -2109233498 -602287230 -1054785005 1360101827 | |
| 1099137177 -318504822 -1341497202 232232049</internalNodes> | |
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| <_> | |
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| <_> | |
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| <_> | |
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| <!-- stage 11 --> | |
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| <maxWeakCount>9</maxWeakCount> | |
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| <_> | |
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| <_> | |
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| <!-- stage 12 --> | |
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| <maxWeakCount>10</maxWeakCount> | |
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| <!-- stage 13 --> | |
| <_> | |
| <maxWeakCount>10</maxWeakCount> | |
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| <_> | |
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| <!-- stage 14 --> | |
| <_> | |
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| <!-- stage 15 --> | |
| <_> | |
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| <stageThreshold>-5.5261385440826416e-001</stageThreshold> | |
| <weakClassifiers> | |
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| <features> | |
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