Upload 20 files
Browse files- cv2/data/__init__.py +3 -0
- cv2/data/__pycache__/__init__.cpython-311.pyc +0 -0
- cv2/data/haarcascade_eye.xml +0 -0
- cv2/data/haarcascade_eye_tree_eyeglasses.xml +0 -0
- cv2/data/haarcascade_frontalcatface.xml +0 -0
- cv2/data/haarcascade_frontalcatface_extended.xml +0 -0
- cv2/data/haarcascade_frontalface_alt.xml +0 -0
- cv2/data/haarcascade_frontalface_alt2.xml +0 -0
- cv2/data/haarcascade_frontalface_alt_tree.xml +0 -0
- cv2/data/haarcascade_frontalface_default.xml +0 -0
- cv2/data/haarcascade_fullbody.xml +0 -0
- cv2/data/haarcascade_lefteye_2splits.xml +0 -0
- cv2/data/haarcascade_license_plate_rus_16stages.xml +1404 -0
- cv2/data/haarcascade_lowerbody.xml +0 -0
- cv2/data/haarcascade_profileface.xml +0 -0
- cv2/data/haarcascade_righteye_2splits.xml +0 -0
- cv2/data/haarcascade_russian_plate_number.xml +2656 -0
- cv2/data/haarcascade_smile.xml +0 -0
- cv2/data/haarcascade_upperbody.xml +0 -0
- cv2/detail/__init__.pyi +598 -0
cv2/data/__init__.py
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import os
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haarcascades = os.path.join(os.path.dirname(__file__), "")
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cv2/data/__pycache__/__init__.cpython-311.pyc
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Binary file (361 Bytes). View file
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cv2/data/haarcascade_eye.xml
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cv2/data/haarcascade_eye_tree_eyeglasses.xml
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cv2/data/haarcascade_frontalcatface.xml
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cv2/data/haarcascade_frontalcatface_extended.xml
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cv2/data/haarcascade_frontalface_alt.xml
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cv2/data/haarcascade_frontalface_alt2.xml
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cv2/data/haarcascade_frontalface_alt_tree.xml
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cv2/data/haarcascade_frontalface_default.xml
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cv2/data/haarcascade_fullbody.xml
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cv2/data/haarcascade_lefteye_2splits.xml
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cv2/data/haarcascade_license_plate_rus_16stages.xml
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|
| 1 |
+
<?xml version="1.0"?>
|
| 2 |
+
<opencv_storage>
|
| 3 |
+
<!-- Automatically converted from haarcascade2, window size = 64x16 -->
|
| 4 |
+
<haarcascade_pltzzz64x16_16STG type_id="opencv-haar-classifier">
|
| 5 |
+
<size>
|
| 6 |
+
64 16</size>
|
| 7 |
+
<stages>
|
| 8 |
+
<_>
|
| 9 |
+
<!-- stage 0 -->
|
| 10 |
+
<trees>
|
| 11 |
+
<_>
|
| 12 |
+
<!-- tree 0 -->
|
| 13 |
+
<_>
|
| 14 |
+
<!-- root node -->
|
| 15 |
+
<feature>
|
| 16 |
+
<rects>
|
| 17 |
+
<_>
|
| 18 |
+
32 2 8 6 -1.</_>
|
| 19 |
+
<_>
|
| 20 |
+
32 4 8 2 3.</_></rects>
|
| 21 |
+
<tilted>0</tilted></feature>
|
| 22 |
+
<threshold>1.6915600746870041e-002</threshold>
|
| 23 |
+
<left_val>-9.5547717809677124e-001</left_val>
|
| 24 |
+
<right_val>8.9129137992858887e-001</right_val></_></_>
|
| 25 |
+
<_>
|
| 26 |
+
<!-- tree 1 -->
|
| 27 |
+
<_>
|
| 28 |
+
<!-- root node -->
|
| 29 |
+
<feature>
|
| 30 |
+
<rects>
|
| 31 |
+
<_>
|
| 32 |
+
0 4 6 10 -1.</_>
|
| 33 |
+
<_>
|
| 34 |
+
3 4 3 10 2.</_></rects>
|
| 35 |
+
<tilted>0</tilted></feature>
|
| 36 |
+
<threshold>2.4228349328041077e-002</threshold>
|
| 37 |
+
<left_val>-9.2089319229125977e-001</left_val>
|
| 38 |
+
<right_val>8.8723921775817871e-001</right_val></_></_>
|
| 39 |
+
<_>
|
| 40 |
+
<!-- tree 2 -->
|
| 41 |
+
<_>
|
| 42 |
+
<!-- root node -->
|
| 43 |
+
<feature>
|
| 44 |
+
<rects>
|
| 45 |
+
<_>
|
| 46 |
+
55 0 8 6 -1.</_>
|
| 47 |
+
<_>
|
| 48 |
+
55 0 4 3 2.</_>
|
| 49 |
+
<_>
|
| 50 |
+
59 3 4 3 2.</_></rects>
|
| 51 |
+
<tilted>0</tilted></feature>
|
| 52 |
+
<threshold>-1.0168660432100296e-002</threshold>
|
| 53 |
+
<left_val>8.8940089941024780e-001</left_val>
|
| 54 |
+
<right_val>-7.7847331762313843e-001</right_val></_></_>
|
| 55 |
+
<_>
|
| 56 |
+
<!-- tree 3 -->
|
| 57 |
+
<_>
|
| 58 |
+
<!-- root node -->
|
| 59 |
+
<feature>
|
| 60 |
+
<rects>
|
| 61 |
+
<_>
|
| 62 |
+
44 7 4 9 -1.</_>
|
| 63 |
+
<_>
|
| 64 |
+
44 10 4 3 3.</_></rects>
|
| 65 |
+
<tilted>0</tilted></feature>
|
| 66 |
+
<threshold>2.0863260142505169e-003</threshold>
|
| 67 |
+
<left_val>-8.7998157739639282e-001</left_val>
|
| 68 |
+
<right_val>5.8651781082153320e-001</right_val></_></_></trees>
|
| 69 |
+
<stage_threshold>-2.0683259963989258e+000</stage_threshold>
|
| 70 |
+
<parent>-1</parent>
|
| 71 |
+
<next>-1</next></_>
|
| 72 |
+
<_>
|
| 73 |
+
<!-- stage 1 -->
|
| 74 |
+
<trees>
|
| 75 |
+
<_>
|
| 76 |
+
<!-- tree 0 -->
|
| 77 |
+
<_>
|
| 78 |
+
<!-- root node -->
|
| 79 |
+
<feature>
|
| 80 |
+
<rects>
|
| 81 |
+
<_>
|
| 82 |
+
29 1 16 4 -1.</_>
|
| 83 |
+
<_>
|
| 84 |
+
29 3 16 2 2.</_></rects>
|
| 85 |
+
<tilted>0</tilted></feature>
|
| 86 |
+
<threshold>2.9062159359455109e-002</threshold>
|
| 87 |
+
<left_val>-8.7765061855316162e-001</left_val>
|
| 88 |
+
<right_val>8.5373121500015259e-001</right_val></_></_>
|
| 89 |
+
<_>
|
| 90 |
+
<!-- tree 1 -->
|
| 91 |
+
<_>
|
| 92 |
+
<!-- root node -->
|
| 93 |
+
<feature>
|
| 94 |
+
<rects>
|
| 95 |
+
<_>
|
| 96 |
+
0 5 9 8 -1.</_>
|
| 97 |
+
<_>
|
| 98 |
+
3 5 3 8 3.</_></rects>
|
| 99 |
+
<tilted>0</tilted></feature>
|
| 100 |
+
<threshold>2.3903399705886841e-002</threshold>
|
| 101 |
+
<left_val>-9.2079448699951172e-001</left_val>
|
| 102 |
+
<right_val>7.5155001878738403e-001</right_val></_></_>
|
| 103 |
+
<_>
|
| 104 |
+
<!-- tree 2 -->
|
| 105 |
+
<_>
|
| 106 |
+
<!-- root node -->
|
| 107 |
+
<feature>
|
| 108 |
+
<rects>
|
| 109 |
+
<_>
|
| 110 |
+
44 0 20 14 -1.</_>
|
| 111 |
+
<_>
|
| 112 |
+
44 0 10 7 2.</_>
|
| 113 |
+
<_>
|
| 114 |
+
54 7 10 7 2.</_></rects>
|
| 115 |
+
<tilted>0</tilted></feature>
|
| 116 |
+
<threshold>-3.5404648631811142e-002</threshold>
|
| 117 |
+
<left_val>6.7834627628326416e-001</left_val>
|
| 118 |
+
<right_val>-9.0937072038650513e-001</right_val></_></_>
|
| 119 |
+
<_>
|
| 120 |
+
<!-- tree 3 -->
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cv2/data/haarcascade_lowerbody.xml
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|
The diff for this file is too large to render.
See raw diff
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cv2/data/haarcascade_profileface.xml
ADDED
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The diff for this file is too large to render.
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cv2/data/haarcascade_righteye_2splits.xml
ADDED
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The diff for this file is too large to render.
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|
cv2/data/haarcascade_russian_plate_number.xml
ADDED
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@@ -0,0 +1,2656 @@
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|
| 1 |
+
<?xml version="1.0"?>
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| 2 |
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| 3 |
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| 4 |
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| 5 |
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| 6 |
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| 7 |
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<width>60</width>
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| 8 |
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| 10 |
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| 11 |
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| 12 |
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| 13 |
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| 14 |
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<maxWeakCount>100</maxWeakCount></stageParams>
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| 15 |
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<featureParams>
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| 16 |
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| 17 |
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| 18 |
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| 19 |
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| 20 |
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<stages>
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| 21 |
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<!-- stage 0 -->
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| 22 |
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<_>
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| 23 |
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| 25 |
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+
<internalNodes>
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| 213 |
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0 -1 102 1.5648975968360901e-003</internalNodes>
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<leafValues>
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| 215 |
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-2.4848082661628723e-001 6.0209411382675171e-001</leafValues></_>
|
| 216 |
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<_>
|
| 217 |
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<internalNodes>
|
| 218 |
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0 -1 177 -3.5970686003565788e-003</internalNodes>
|
| 219 |
+
<leafValues>
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| 220 |
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2.3294737935066223e-001 -6.5612471103668213e-001</leafValues></_></weakClassifiers></_>
|
| 221 |
+
<!-- stage 5 -->
|
| 222 |
+
<_>
|
| 223 |
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<maxWeakCount>9</maxWeakCount>
|
| 224 |
+
<stageThreshold>-1.1029583215713501e+000</stageThreshold>
|
| 225 |
+
<weakClassifiers>
|
| 226 |
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<_>
|
| 227 |
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<internalNodes>
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| 228 |
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0 -1 27 -1.1257569491863251e-001</internalNodes>
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<leafValues>
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3.3181819319725037e-001 -5.3901344537734985e-001</leafValues></_>
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| 231 |
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<_>
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| 232 |
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<internalNodes>
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| 233 |
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0 -1 142 3.8014666642993689e-003</internalNodes>
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<leafValues>
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| 236 |
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<_>
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| 237 |
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<internalNodes>
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0 -1 57 9.8789634648710489e-004</internalNodes>
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<leafValues>
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| 240 |
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-2.6661416888237000e-001 5.6971323490142822e-001</leafValues></_>
|
| 241 |
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<_>
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| 242 |
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<internalNodes>
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0 -1 55 2.1719809621572495e-002</internalNodes>
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<leafValues>
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1.8432702124118805e-001 -8.2999354600906372e-001</leafValues></_>
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| 246 |
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<_>
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| 247 |
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<internalNodes>
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0 -1 111 5.1051773130893707e-002</internalNodes>
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<leafValues>
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1.4391148090362549e-001 -9.4541704654693604e-001</leafValues></_>
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| 251 |
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<_>
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| 252 |
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<internalNodes>
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0 -1 164 1.8956036074087024e-003</internalNodes>
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<leafValues>
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| 255 |
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| 256 |
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<_>
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| 257 |
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<internalNodes>
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0 -1 81 -5.8700828813016415e-003</internalNodes>
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<leafValues>
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6.9104760885238647e-001 -2.6916843652725220e-001</leafValues></_>
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| 261 |
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<_>
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| 262 |
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<internalNodes>
|
| 263 |
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0 -1 116 -1.1522199492901564e-003</internalNodes>
|
| 264 |
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<leafValues>
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| 265 |
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-6.9503885507583618e-001 2.4749211966991425e-001</leafValues></_>
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| 266 |
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<_>
|
| 267 |
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<internalNodes>
|
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0 -1 90 -5.1933946087956429e-003</internalNodes>
|
| 269 |
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<leafValues>
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5.8551025390625000e-001 -3.0389472842216492e-001</leafValues></_></weakClassifiers></_>
|
| 271 |
+
<!-- stage 6 -->
|
| 272 |
+
<_>
|
| 273 |
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<maxWeakCount>9</maxWeakCount>
|
| 274 |
+
<stageThreshold>-9.0274518728256226e-001</stageThreshold>
|
| 275 |
+
<weakClassifiers>
|
| 276 |
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<_>
|
| 277 |
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<internalNodes>
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0 -1 205 -1.4383997768163681e-002</internalNodes>
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<leafValues>
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4.5400592684745789e-001 -4.9917897582054138e-001</leafValues></_>
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| 281 |
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<_>
|
| 282 |
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<internalNodes>
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0 -1 114 -3.3369414508342743e-002</internalNodes>
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| 284 |
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<leafValues>
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|
| 286 |
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<_>
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| 287 |
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<internalNodes>
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0 -1 128 5.2380945999175310e-004</internalNodes>
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<leafValues>
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|
| 291 |
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<_>
|
| 292 |
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<internalNodes>
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0 -1 143 6.1231426661834121e-004</internalNodes>
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<leafValues>
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<_>
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<internalNodes>
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0 -1 49 1.7017847858369350e-003</internalNodes>
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<leafValues>
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2.2008989751338959e-001 -7.2277534008026123e-001</leafValues></_>
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<_>
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<internalNodes>
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0 -1 133 2.6139442343264818e-003</internalNodes>
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<leafValues>
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<_>
|
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<internalNodes>
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<leafValues>
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5.6799399852752686e-001 -2.8219676017761230e-001</leafValues></_>
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<_>
|
| 312 |
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<internalNodes>
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0 -1 119 1.9273828947916627e-003</internalNodes>
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<leafValues>
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<_>
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| 317 |
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<internalNodes>
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0 -1 134 -9.4476283993571997e-004</internalNodes>
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| 319 |
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<leafValues>
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| 321 |
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<!-- stage 7 -->
|
| 322 |
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<_>
|
| 323 |
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<maxWeakCount>10</maxWeakCount>
|
| 324 |
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<stageThreshold>-1.4518526792526245e+000</stageThreshold>
|
| 325 |
+
<weakClassifiers>
|
| 326 |
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<_>
|
| 327 |
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<internalNodes>
|
| 328 |
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0 -1 162 1.6756314784288406e-002</internalNodes>
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<leafValues>
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| 330 |
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|
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<_>
|
| 332 |
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<internalNodes>
|
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0 -1 16 2.4082964286208153e-002</internalNodes>
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<leafValues>
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| 336 |
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<_>
|
| 337 |
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<internalNodes>
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0 -1 186 1.2284796684980392e-003</internalNodes>
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<leafValues>
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<_>
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<internalNodes>
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<leafValues>
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<_>
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<_>
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<_>
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<_>
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<internalNodes>
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<_>
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<_>
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<leafValues>
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<!-- stage 8 -->
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<_>
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<maxWeakCount>11</maxWeakCount>
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<stageThreshold>-1.3153649568557739e+000</stageThreshold>
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| 380 |
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<weakClassifiers>
|
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<_>
|
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<internalNodes>
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0 -1 6 1.9131936132907867e-002</internalNodes>
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<_>
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<_>
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<_>
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<_>
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<_>
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<_>
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<_>
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<_>
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|
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<_>
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<!-- stage 9 -->
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<_>
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<maxWeakCount>13</maxWeakCount>
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<stageThreshold>-1.4625015258789063e+000</stageThreshold>
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<weakClassifiers>
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<_>
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<_>
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|
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<_>
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<_>
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<_>
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|
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<_>
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<_>
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|
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<_>
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|
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<_>
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|
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<!-- stage 10 -->
|
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<_>
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|
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<weakClassifiers>
|
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|
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|
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<_>
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<_>
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0 -1 198 5.5587477982044220e-004</internalNodes>
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<_>
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0 -1 152 4.3448276119306684e-004</internalNodes>
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<leafValues>
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1.3497908413410187e-001 -8.5621362924575806e-001</leafValues></_>
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<_>
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<internalNodes>
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0 -1 197 -1.2359691318124533e-003</internalNodes>
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6.1710417270660400e-001 -2.2301279008388519e-001</leafValues></_>
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<_>
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<_>
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<_>
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<_>
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<_>
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<leafValues>
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3.8030940294265747e-001 -3.0763563513755798e-001</leafValues></_></weakClassifiers></_>
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<!-- stage 11 -->
|
| 582 |
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<_>
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| 583 |
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<maxWeakCount>9</maxWeakCount>
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<stageThreshold>-1.1183819770812988e+000</stageThreshold>
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<weakClassifiers>
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<_>
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<internalNodes>
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0 -1 187 -1.4863962307572365e-002</internalNodes>
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<_>
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<internalNodes>
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0 -1 117 2.4736612103879452e-003</internalNodes>
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<leafValues>
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<_>
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<internalNodes>
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<_>
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<_>
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<_>
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<_>
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<internalNodes>
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<leafValues>
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<_>
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<_>
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<leafValues>
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<!-- stage 12 -->
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<_>
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<maxWeakCount>12</maxWeakCount>
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<weakClassifiers>
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<_>
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<internalNodes>
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<_>
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<_>
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<_>
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<_>
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<_>
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<_>
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<_>
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<!-- stage 13 -->
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<_>
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<maxWeakCount>12</maxWeakCount>
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<stageThreshold>-1.4440233707427979e+000</stageThreshold>
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| 700 |
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<weakClassifiers>
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<_>
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<_>
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<_>
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<_>
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<_>
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<_>
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<_>
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<_>
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<!-- stage 14 -->
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<_>
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<stageThreshold>-1.2532578706741333e+000</stageThreshold>
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| 765 |
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<weakClassifiers>
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<_>
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<_>
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<_>
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<_>
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<_>
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|
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<_>
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<_>
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<_>
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<!-- stage 15 -->
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<_>
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<maxWeakCount>15</maxWeakCount>
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|
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<weakClassifiers>
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|
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<_>
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<!-- stage 16 -->
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<_>
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<maxWeakCount>15</maxWeakCount>
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<_>
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<!-- stage 17 -->
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<_>
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<_>
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<_>
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<!-- stage 18 -->
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<_>
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<_>
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<_>
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<!-- stage 19 -->
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<_>
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<_>
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<_>
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cv2/data/haarcascade_smile.xml
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cv2/data/haarcascade_upperbody.xml
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cv2/detail/__init__.pyi
ADDED
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|
| 1 |
+
import cv2
|
| 2 |
+
import cv2.gapi
|
| 3 |
+
import cv2.gapi.ie
|
| 4 |
+
import cv2.gapi.onnx
|
| 5 |
+
import cv2.gapi.ov
|
| 6 |
+
import cv2.typing
|
| 7 |
+
import numpy
|
| 8 |
+
import typing
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
# Enumerations
|
| 12 |
+
TEST_CUSTOM: int
|
| 13 |
+
TEST_EQ: int
|
| 14 |
+
TEST_NE: int
|
| 15 |
+
TEST_LE: int
|
| 16 |
+
TEST_LT: int
|
| 17 |
+
TEST_GE: int
|
| 18 |
+
TEST_GT: int
|
| 19 |
+
TestOp = int
|
| 20 |
+
"""One of [TEST_CUSTOM, TEST_EQ, TEST_NE, TEST_LE, TEST_LT, TEST_GE, TEST_GT]"""
|
| 21 |
+
|
| 22 |
+
WAVE_CORRECT_HORIZ: int
|
| 23 |
+
WAVE_CORRECT_VERT: int
|
| 24 |
+
WAVE_CORRECT_AUTO: int
|
| 25 |
+
WaveCorrectKind = int
|
| 26 |
+
"""One of [WAVE_CORRECT_HORIZ, WAVE_CORRECT_VERT, WAVE_CORRECT_AUTO]"""
|
| 27 |
+
|
| 28 |
+
OpaqueKind_CV_UNKNOWN: int
|
| 29 |
+
OPAQUE_KIND_CV_UNKNOWN: int
|
| 30 |
+
OpaqueKind_CV_BOOL: int
|
| 31 |
+
OPAQUE_KIND_CV_BOOL: int
|
| 32 |
+
OpaqueKind_CV_INT: int
|
| 33 |
+
OPAQUE_KIND_CV_INT: int
|
| 34 |
+
OpaqueKind_CV_INT64: int
|
| 35 |
+
OPAQUE_KIND_CV_INT64: int
|
| 36 |
+
OpaqueKind_CV_DOUBLE: int
|
| 37 |
+
OPAQUE_KIND_CV_DOUBLE: int
|
| 38 |
+
OpaqueKind_CV_FLOAT: int
|
| 39 |
+
OPAQUE_KIND_CV_FLOAT: int
|
| 40 |
+
OpaqueKind_CV_UINT64: int
|
| 41 |
+
OPAQUE_KIND_CV_UINT64: int
|
| 42 |
+
OpaqueKind_CV_STRING: int
|
| 43 |
+
OPAQUE_KIND_CV_STRING: int
|
| 44 |
+
OpaqueKind_CV_POINT: int
|
| 45 |
+
OPAQUE_KIND_CV_POINT: int
|
| 46 |
+
OpaqueKind_CV_POINT2F: int
|
| 47 |
+
OPAQUE_KIND_CV_POINT2F: int
|
| 48 |
+
OpaqueKind_CV_POINT3F: int
|
| 49 |
+
OPAQUE_KIND_CV_POINT3F: int
|
| 50 |
+
OpaqueKind_CV_SIZE: int
|
| 51 |
+
OPAQUE_KIND_CV_SIZE: int
|
| 52 |
+
OpaqueKind_CV_RECT: int
|
| 53 |
+
OPAQUE_KIND_CV_RECT: int
|
| 54 |
+
OpaqueKind_CV_SCALAR: int
|
| 55 |
+
OPAQUE_KIND_CV_SCALAR: int
|
| 56 |
+
OpaqueKind_CV_MAT: int
|
| 57 |
+
OPAQUE_KIND_CV_MAT: int
|
| 58 |
+
OpaqueKind_CV_DRAW_PRIM: int
|
| 59 |
+
OPAQUE_KIND_CV_DRAW_PRIM: int
|
| 60 |
+
OpaqueKind = int
|
| 61 |
+
"""One of [OpaqueKind_CV_UNKNOWN, OPAQUE_KIND_CV_UNKNOWN, OpaqueKind_CV_BOOL, OPAQUE_KIND_CV_BOOL, OpaqueKind_CV_INT, OPAQUE_KIND_CV_INT, OpaqueKind_CV_INT64, OPAQUE_KIND_CV_INT64, OpaqueKind_CV_DOUBLE, OPAQUE_KIND_CV_DOUBLE, OpaqueKind_CV_FLOAT, OPAQUE_KIND_CV_FLOAT, OpaqueKind_CV_UINT64, OPAQUE_KIND_CV_UINT64, OpaqueKind_CV_STRING, OPAQUE_KIND_CV_STRING, OpaqueKind_CV_POINT, OPAQUE_KIND_CV_POINT, OpaqueKind_CV_POINT2F, OPAQUE_KIND_CV_POINT2F, OpaqueKind_CV_POINT3F, OPAQUE_KIND_CV_POINT3F, OpaqueKind_CV_SIZE, OPAQUE_KIND_CV_SIZE, OpaqueKind_CV_RECT, OPAQUE_KIND_CV_RECT, OpaqueKind_CV_SCALAR, OPAQUE_KIND_CV_SCALAR, OpaqueKind_CV_MAT, OPAQUE_KIND_CV_MAT, OpaqueKind_CV_DRAW_PRIM, OPAQUE_KIND_CV_DRAW_PRIM]"""
|
| 62 |
+
|
| 63 |
+
ArgKind_OPAQUE_VAL: int
|
| 64 |
+
ARG_KIND_OPAQUE_VAL: int
|
| 65 |
+
ArgKind_OPAQUE: int
|
| 66 |
+
ARG_KIND_OPAQUE: int
|
| 67 |
+
ArgKind_GOBJREF: int
|
| 68 |
+
ARG_KIND_GOBJREF: int
|
| 69 |
+
ArgKind_GMAT: int
|
| 70 |
+
ARG_KIND_GMAT: int
|
| 71 |
+
ArgKind_GMATP: int
|
| 72 |
+
ARG_KIND_GMATP: int
|
| 73 |
+
ArgKind_GFRAME: int
|
| 74 |
+
ARG_KIND_GFRAME: int
|
| 75 |
+
ArgKind_GSCALAR: int
|
| 76 |
+
ARG_KIND_GSCALAR: int
|
| 77 |
+
ArgKind_GARRAY: int
|
| 78 |
+
ARG_KIND_GARRAY: int
|
| 79 |
+
ArgKind_GOPAQUE: int
|
| 80 |
+
ARG_KIND_GOPAQUE: int
|
| 81 |
+
ArgKind = int
|
| 82 |
+
"""One of [ArgKind_OPAQUE_VAL, ARG_KIND_OPAQUE_VAL, ArgKind_OPAQUE, ARG_KIND_OPAQUE, ArgKind_GOBJREF, ARG_KIND_GOBJREF, ArgKind_GMAT, ARG_KIND_GMAT, ArgKind_GMATP, ARG_KIND_GMATP, ArgKind_GFRAME, ARG_KIND_GFRAME, ArgKind_GSCALAR, ARG_KIND_GSCALAR, ArgKind_GARRAY, ARG_KIND_GARRAY, ArgKind_GOPAQUE, ARG_KIND_GOPAQUE]"""
|
| 83 |
+
|
| 84 |
+
|
| 85 |
+
Blender_NO: int
|
| 86 |
+
BLENDER_NO: int
|
| 87 |
+
Blender_FEATHER: int
|
| 88 |
+
BLENDER_FEATHER: int
|
| 89 |
+
Blender_MULTI_BAND: int
|
| 90 |
+
BLENDER_MULTI_BAND: int
|
| 91 |
+
|
| 92 |
+
ExposureCompensator_NO: int
|
| 93 |
+
EXPOSURE_COMPENSATOR_NO: int
|
| 94 |
+
ExposureCompensator_GAIN: int
|
| 95 |
+
EXPOSURE_COMPENSATOR_GAIN: int
|
| 96 |
+
ExposureCompensator_GAIN_BLOCKS: int
|
| 97 |
+
EXPOSURE_COMPENSATOR_GAIN_BLOCKS: int
|
| 98 |
+
ExposureCompensator_CHANNELS: int
|
| 99 |
+
EXPOSURE_COMPENSATOR_CHANNELS: int
|
| 100 |
+
ExposureCompensator_CHANNELS_BLOCKS: int
|
| 101 |
+
EXPOSURE_COMPENSATOR_CHANNELS_BLOCKS: int
|
| 102 |
+
|
| 103 |
+
SeamFinder_NO: int
|
| 104 |
+
SEAM_FINDER_NO: int
|
| 105 |
+
SeamFinder_VORONOI_SEAM: int
|
| 106 |
+
SEAM_FINDER_VORONOI_SEAM: int
|
| 107 |
+
SeamFinder_DP_SEAM: int
|
| 108 |
+
SEAM_FINDER_DP_SEAM: int
|
| 109 |
+
|
| 110 |
+
DpSeamFinder_COLOR: int
|
| 111 |
+
DP_SEAM_FINDER_COLOR: int
|
| 112 |
+
DpSeamFinder_COLOR_GRAD: int
|
| 113 |
+
DP_SEAM_FINDER_COLOR_GRAD: int
|
| 114 |
+
DpSeamFinder_CostFunction = int
|
| 115 |
+
"""One of [DpSeamFinder_COLOR, DP_SEAM_FINDER_COLOR, DpSeamFinder_COLOR_GRAD, DP_SEAM_FINDER_COLOR_GRAD]"""
|
| 116 |
+
|
| 117 |
+
Timelapser_AS_IS: int
|
| 118 |
+
TIMELAPSER_AS_IS: int
|
| 119 |
+
Timelapser_CROP: int
|
| 120 |
+
TIMELAPSER_CROP: int
|
| 121 |
+
|
| 122 |
+
GraphCutSeamFinderBase_COST_COLOR: int
|
| 123 |
+
GRAPH_CUT_SEAM_FINDER_BASE_COST_COLOR: int
|
| 124 |
+
GraphCutSeamFinderBase_COST_COLOR_GRAD: int
|
| 125 |
+
GRAPH_CUT_SEAM_FINDER_BASE_COST_COLOR_GRAD: int
|
| 126 |
+
GraphCutSeamFinderBase_CostType = int
|
| 127 |
+
"""One of [GraphCutSeamFinderBase_COST_COLOR, GRAPH_CUT_SEAM_FINDER_BASE_COST_COLOR, GraphCutSeamFinderBase_COST_COLOR_GRAD, GRAPH_CUT_SEAM_FINDER_BASE_COST_COLOR_GRAD]"""
|
| 128 |
+
|
| 129 |
+
TrackerSamplerCSC_MODE_INIT_POS: int
|
| 130 |
+
TRACKER_SAMPLER_CSC_MODE_INIT_POS: int
|
| 131 |
+
TrackerSamplerCSC_MODE_INIT_NEG: int
|
| 132 |
+
TRACKER_SAMPLER_CSC_MODE_INIT_NEG: int
|
| 133 |
+
TrackerSamplerCSC_MODE_TRACK_POS: int
|
| 134 |
+
TRACKER_SAMPLER_CSC_MODE_TRACK_POS: int
|
| 135 |
+
TrackerSamplerCSC_MODE_TRACK_NEG: int
|
| 136 |
+
TRACKER_SAMPLER_CSC_MODE_TRACK_NEG: int
|
| 137 |
+
TrackerSamplerCSC_MODE_DETECT: int
|
| 138 |
+
TRACKER_SAMPLER_CSC_MODE_DETECT: int
|
| 139 |
+
TrackerSamplerCSC_MODE = int
|
| 140 |
+
"""One of [TrackerSamplerCSC_MODE_INIT_POS, TRACKER_SAMPLER_CSC_MODE_INIT_POS, TrackerSamplerCSC_MODE_INIT_NEG, TRACKER_SAMPLER_CSC_MODE_INIT_NEG, TrackerSamplerCSC_MODE_TRACK_POS, TRACKER_SAMPLER_CSC_MODE_TRACK_POS, TrackerSamplerCSC_MODE_TRACK_NEG, TRACKER_SAMPLER_CSC_MODE_TRACK_NEG, TrackerSamplerCSC_MODE_DETECT, TRACKER_SAMPLER_CSC_MODE_DETECT]"""
|
| 141 |
+
|
| 142 |
+
|
| 143 |
+
# Classes
|
| 144 |
+
class Blender:
|
| 145 |
+
# Functions
|
| 146 |
+
@classmethod
|
| 147 |
+
def createDefault(cls, type: int, try_gpu: bool = ...) -> Blender: ...
|
| 148 |
+
|
| 149 |
+
@typing.overload
|
| 150 |
+
def prepare(self, corners: typing.Sequence[cv2.typing.Point], sizes: typing.Sequence[cv2.typing.Size]) -> None: ...
|
| 151 |
+
@typing.overload
|
| 152 |
+
def prepare(self, dst_roi: cv2.typing.Rect) -> None: ...
|
| 153 |
+
|
| 154 |
+
@typing.overload
|
| 155 |
+
def feed(self, img: cv2.typing.MatLike, mask: cv2.typing.MatLike, tl: cv2.typing.Point) -> None: ...
|
| 156 |
+
@typing.overload
|
| 157 |
+
def feed(self, img: cv2.UMat, mask: cv2.UMat, tl: cv2.typing.Point) -> None: ...
|
| 158 |
+
|
| 159 |
+
@typing.overload
|
| 160 |
+
def blend(self, dst: cv2.typing.MatLike, dst_mask: cv2.typing.MatLike) -> tuple[cv2.typing.MatLike, cv2.typing.MatLike]: ...
|
| 161 |
+
@typing.overload
|
| 162 |
+
def blend(self, dst: cv2.UMat, dst_mask: cv2.UMat) -> tuple[cv2.UMat, cv2.UMat]: ...
|
| 163 |
+
|
| 164 |
+
|
| 165 |
+
class CameraParams:
|
| 166 |
+
focal: float
|
| 167 |
+
aspect: float
|
| 168 |
+
ppx: float
|
| 169 |
+
ppy: float
|
| 170 |
+
R: cv2.typing.MatLike
|
| 171 |
+
t: cv2.typing.MatLike
|
| 172 |
+
|
| 173 |
+
# Functions
|
| 174 |
+
def K(self) -> cv2.typing.MatLike: ...
|
| 175 |
+
|
| 176 |
+
|
| 177 |
+
class ExposureCompensator:
|
| 178 |
+
# Functions
|
| 179 |
+
@classmethod
|
| 180 |
+
def createDefault(cls, type: int) -> ExposureCompensator: ...
|
| 181 |
+
|
| 182 |
+
def feed(self, corners: typing.Sequence[cv2.typing.Point], images: typing.Sequence[cv2.UMat], masks: typing.Sequence[cv2.UMat]) -> None: ...
|
| 183 |
+
|
| 184 |
+
@typing.overload
|
| 185 |
+
def apply(self, index: int, corner: cv2.typing.Point, image: cv2.typing.MatLike, mask: cv2.typing.MatLike) -> cv2.typing.MatLike: ...
|
| 186 |
+
@typing.overload
|
| 187 |
+
def apply(self, index: int, corner: cv2.typing.Point, image: cv2.UMat, mask: cv2.UMat) -> cv2.UMat: ...
|
| 188 |
+
|
| 189 |
+
def getMatGains(self, arg1: typing.Sequence[cv2.typing.MatLike] | None = ...) -> typing.Sequence[cv2.typing.MatLike]: ...
|
| 190 |
+
|
| 191 |
+
def setMatGains(self, arg1: typing.Sequence[cv2.typing.MatLike]) -> None: ...
|
| 192 |
+
|
| 193 |
+
def setUpdateGain(self, b: bool) -> None: ...
|
| 194 |
+
|
| 195 |
+
def getUpdateGain(self) -> bool: ...
|
| 196 |
+
|
| 197 |
+
|
| 198 |
+
class ImageFeatures:
|
| 199 |
+
img_idx: int
|
| 200 |
+
img_size: cv2.typing.Size
|
| 201 |
+
keypoints: typing.Sequence[cv2.KeyPoint]
|
| 202 |
+
descriptors: cv2.UMat
|
| 203 |
+
|
| 204 |
+
# Functions
|
| 205 |
+
def getKeypoints(self) -> typing.Sequence[cv2.KeyPoint]: ...
|
| 206 |
+
|
| 207 |
+
|
| 208 |
+
class MatchesInfo:
|
| 209 |
+
src_img_idx: int
|
| 210 |
+
dst_img_idx: int
|
| 211 |
+
matches: typing.Sequence[cv2.DMatch]
|
| 212 |
+
inliers_mask: numpy.ndarray[typing.Any, numpy.dtype[numpy.uint8]]
|
| 213 |
+
num_inliers: int
|
| 214 |
+
H: cv2.typing.MatLike
|
| 215 |
+
confidence: float
|
| 216 |
+
|
| 217 |
+
# Functions
|
| 218 |
+
def getMatches(self) -> typing.Sequence[cv2.DMatch]: ...
|
| 219 |
+
|
| 220 |
+
def getInliers(self) -> numpy.ndarray[typing.Any, numpy.dtype[numpy.uint8]]: ...
|
| 221 |
+
|
| 222 |
+
|
| 223 |
+
class FeaturesMatcher:
|
| 224 |
+
# Functions
|
| 225 |
+
def apply(self, features1: ImageFeatures, features2: ImageFeatures) -> MatchesInfo: ...
|
| 226 |
+
|
| 227 |
+
def apply2(self, features: typing.Sequence[ImageFeatures], mask: cv2.UMat | None = ...) -> typing.Sequence[MatchesInfo]: ...
|
| 228 |
+
|
| 229 |
+
def isThreadSafe(self) -> bool: ...
|
| 230 |
+
|
| 231 |
+
def collectGarbage(self) -> None: ...
|
| 232 |
+
|
| 233 |
+
|
| 234 |
+
class Estimator:
|
| 235 |
+
# Functions
|
| 236 |
+
def apply(self, features: typing.Sequence[ImageFeatures], pairwise_matches: typing.Sequence[MatchesInfo], cameras: typing.Sequence[CameraParams]) -> tuple[bool, typing.Sequence[CameraParams]]: ...
|
| 237 |
+
|
| 238 |
+
|
| 239 |
+
class SeamFinder:
|
| 240 |
+
# Functions
|
| 241 |
+
def find(self, src: typing.Sequence[cv2.UMat], corners: typing.Sequence[cv2.typing.Point], masks: typing.Sequence[cv2.UMat]) -> typing.Sequence[cv2.UMat]: ...
|
| 242 |
+
|
| 243 |
+
@classmethod
|
| 244 |
+
def createDefault(cls, type: int) -> SeamFinder: ...
|
| 245 |
+
|
| 246 |
+
|
| 247 |
+
class GraphCutSeamFinder:
|
| 248 |
+
# Functions
|
| 249 |
+
def __init__(self, cost_type: str, terminal_cost: float = ..., bad_region_penalty: float = ...) -> None: ...
|
| 250 |
+
|
| 251 |
+
def find(self, src: typing.Sequence[cv2.UMat], corners: typing.Sequence[cv2.typing.Point], masks: typing.Sequence[cv2.UMat]) -> typing.Sequence[cv2.UMat]: ...
|
| 252 |
+
|
| 253 |
+
|
| 254 |
+
class Timelapser:
|
| 255 |
+
# Functions
|
| 256 |
+
@classmethod
|
| 257 |
+
def createDefault(cls, type: int) -> Timelapser: ...
|
| 258 |
+
|
| 259 |
+
def initialize(self, corners: typing.Sequence[cv2.typing.Point], sizes: typing.Sequence[cv2.typing.Size]) -> None: ...
|
| 260 |
+
|
| 261 |
+
@typing.overload
|
| 262 |
+
def process(self, img: cv2.typing.MatLike, mask: cv2.typing.MatLike, tl: cv2.typing.Point) -> None: ...
|
| 263 |
+
@typing.overload
|
| 264 |
+
def process(self, img: cv2.UMat, mask: cv2.UMat, tl: cv2.typing.Point) -> None: ...
|
| 265 |
+
|
| 266 |
+
def getDst(self) -> cv2.UMat: ...
|
| 267 |
+
|
| 268 |
+
|
| 269 |
+
class ProjectorBase:
|
| 270 |
+
...
|
| 271 |
+
|
| 272 |
+
class FeatherBlender(Blender):
|
| 273 |
+
# Functions
|
| 274 |
+
def __init__(self, sharpness: float = ...) -> None: ...
|
| 275 |
+
|
| 276 |
+
def sharpness(self) -> float: ...
|
| 277 |
+
|
| 278 |
+
def setSharpness(self, val: float) -> None: ...
|
| 279 |
+
|
| 280 |
+
def prepare(self, dst_roi: cv2.typing.Rect) -> None: ...
|
| 281 |
+
|
| 282 |
+
@typing.overload
|
| 283 |
+
def feed(self, img: cv2.typing.MatLike, mask: cv2.typing.MatLike, tl: cv2.typing.Point) -> None: ...
|
| 284 |
+
@typing.overload
|
| 285 |
+
def feed(self, img: cv2.UMat, mask: cv2.UMat, tl: cv2.typing.Point) -> None: ...
|
| 286 |
+
|
| 287 |
+
@typing.overload
|
| 288 |
+
def blend(self, dst: cv2.typing.MatLike, dst_mask: cv2.typing.MatLike) -> tuple[cv2.typing.MatLike, cv2.typing.MatLike]: ...
|
| 289 |
+
@typing.overload
|
| 290 |
+
def blend(self, dst: cv2.UMat, dst_mask: cv2.UMat) -> tuple[cv2.UMat, cv2.UMat]: ...
|
| 291 |
+
|
| 292 |
+
def createWeightMaps(self, masks: typing.Sequence[cv2.UMat], corners: typing.Sequence[cv2.typing.Point], weight_maps: typing.Sequence[cv2.UMat]) -> tuple[cv2.typing.Rect, typing.Sequence[cv2.UMat]]: ...
|
| 293 |
+
|
| 294 |
+
|
| 295 |
+
class MultiBandBlender(Blender):
|
| 296 |
+
# Functions
|
| 297 |
+
def __init__(self, try_gpu: int = ..., num_bands: int = ..., weight_type: int = ...) -> None: ...
|
| 298 |
+
|
| 299 |
+
def numBands(self) -> int: ...
|
| 300 |
+
|
| 301 |
+
def setNumBands(self, val: int) -> None: ...
|
| 302 |
+
|
| 303 |
+
def prepare(self, dst_roi: cv2.typing.Rect) -> None: ...
|
| 304 |
+
|
| 305 |
+
@typing.overload
|
| 306 |
+
def feed(self, img: cv2.typing.MatLike, mask: cv2.typing.MatLike, tl: cv2.typing.Point) -> None: ...
|
| 307 |
+
@typing.overload
|
| 308 |
+
def feed(self, img: cv2.UMat, mask: cv2.UMat, tl: cv2.typing.Point) -> None: ...
|
| 309 |
+
|
| 310 |
+
@typing.overload
|
| 311 |
+
def blend(self, dst: cv2.typing.MatLike, dst_mask: cv2.typing.MatLike) -> tuple[cv2.typing.MatLike, cv2.typing.MatLike]: ...
|
| 312 |
+
@typing.overload
|
| 313 |
+
def blend(self, dst: cv2.UMat, dst_mask: cv2.UMat) -> tuple[cv2.UMat, cv2.UMat]: ...
|
| 314 |
+
|
| 315 |
+
|
| 316 |
+
class NoExposureCompensator(ExposureCompensator):
|
| 317 |
+
# Functions
|
| 318 |
+
@typing.overload
|
| 319 |
+
def apply(self, arg1: int, arg2: cv2.typing.Point, arg3: cv2.typing.MatLike, arg4: cv2.typing.MatLike) -> cv2.typing.MatLike: ...
|
| 320 |
+
@typing.overload
|
| 321 |
+
def apply(self, arg1: int, arg2: cv2.typing.Point, arg3: cv2.UMat, arg4: cv2.UMat) -> cv2.UMat: ...
|
| 322 |
+
|
| 323 |
+
def getMatGains(self, umv: typing.Sequence[cv2.typing.MatLike] | None = ...) -> typing.Sequence[cv2.typing.MatLike]: ...
|
| 324 |
+
|
| 325 |
+
def setMatGains(self, umv: typing.Sequence[cv2.typing.MatLike]) -> None: ...
|
| 326 |
+
|
| 327 |
+
|
| 328 |
+
class GainCompensator(ExposureCompensator):
|
| 329 |
+
# Functions
|
| 330 |
+
@typing.overload
|
| 331 |
+
def __init__(self) -> None: ...
|
| 332 |
+
@typing.overload
|
| 333 |
+
def __init__(self, nr_feeds: int) -> None: ...
|
| 334 |
+
|
| 335 |
+
@typing.overload
|
| 336 |
+
def apply(self, index: int, corner: cv2.typing.Point, image: cv2.typing.MatLike, mask: cv2.typing.MatLike) -> cv2.typing.MatLike: ...
|
| 337 |
+
@typing.overload
|
| 338 |
+
def apply(self, index: int, corner: cv2.typing.Point, image: cv2.UMat, mask: cv2.UMat) -> cv2.UMat: ...
|
| 339 |
+
|
| 340 |
+
def getMatGains(self, umv: typing.Sequence[cv2.typing.MatLike] | None = ...) -> typing.Sequence[cv2.typing.MatLike]: ...
|
| 341 |
+
|
| 342 |
+
def setMatGains(self, umv: typing.Sequence[cv2.typing.MatLike]) -> None: ...
|
| 343 |
+
|
| 344 |
+
def setNrFeeds(self, nr_feeds: int) -> None: ...
|
| 345 |
+
|
| 346 |
+
def getNrFeeds(self) -> int: ...
|
| 347 |
+
|
| 348 |
+
def setSimilarityThreshold(self, similarity_threshold: float) -> None: ...
|
| 349 |
+
|
| 350 |
+
def getSimilarityThreshold(self) -> float: ...
|
| 351 |
+
|
| 352 |
+
|
| 353 |
+
class ChannelsCompensator(ExposureCompensator):
|
| 354 |
+
# Functions
|
| 355 |
+
def __init__(self, nr_feeds: int = ...) -> None: ...
|
| 356 |
+
|
| 357 |
+
@typing.overload
|
| 358 |
+
def apply(self, index: int, corner: cv2.typing.Point, image: cv2.typing.MatLike, mask: cv2.typing.MatLike) -> cv2.typing.MatLike: ...
|
| 359 |
+
@typing.overload
|
| 360 |
+
def apply(self, index: int, corner: cv2.typing.Point, image: cv2.UMat, mask: cv2.UMat) -> cv2.UMat: ...
|
| 361 |
+
|
| 362 |
+
def getMatGains(self, umv: typing.Sequence[cv2.typing.MatLike] | None = ...) -> typing.Sequence[cv2.typing.MatLike]: ...
|
| 363 |
+
|
| 364 |
+
def setMatGains(self, umv: typing.Sequence[cv2.typing.MatLike]) -> None: ...
|
| 365 |
+
|
| 366 |
+
def setNrFeeds(self, nr_feeds: int) -> None: ...
|
| 367 |
+
|
| 368 |
+
def getNrFeeds(self) -> int: ...
|
| 369 |
+
|
| 370 |
+
def setSimilarityThreshold(self, similarity_threshold: float) -> None: ...
|
| 371 |
+
|
| 372 |
+
def getSimilarityThreshold(self) -> float: ...
|
| 373 |
+
|
| 374 |
+
|
| 375 |
+
class BlocksCompensator(ExposureCompensator):
|
| 376 |
+
# Functions
|
| 377 |
+
@typing.overload
|
| 378 |
+
def apply(self, index: int, corner: cv2.typing.Point, image: cv2.typing.MatLike, mask: cv2.typing.MatLike) -> cv2.typing.MatLike: ...
|
| 379 |
+
@typing.overload
|
| 380 |
+
def apply(self, index: int, corner: cv2.typing.Point, image: cv2.UMat, mask: cv2.UMat) -> cv2.UMat: ...
|
| 381 |
+
|
| 382 |
+
def getMatGains(self, umv: typing.Sequence[cv2.typing.MatLike] | None = ...) -> typing.Sequence[cv2.typing.MatLike]: ...
|
| 383 |
+
|
| 384 |
+
def setMatGains(self, umv: typing.Sequence[cv2.typing.MatLike]) -> None: ...
|
| 385 |
+
|
| 386 |
+
def setNrFeeds(self, nr_feeds: int) -> None: ...
|
| 387 |
+
|
| 388 |
+
def getNrFeeds(self) -> int: ...
|
| 389 |
+
|
| 390 |
+
def setSimilarityThreshold(self, similarity_threshold: float) -> None: ...
|
| 391 |
+
|
| 392 |
+
def getSimilarityThreshold(self) -> float: ...
|
| 393 |
+
|
| 394 |
+
@typing.overload
|
| 395 |
+
def setBlockSize(self, width: int, height: int) -> None: ...
|
| 396 |
+
@typing.overload
|
| 397 |
+
def setBlockSize(self, size: cv2.typing.Size) -> None: ...
|
| 398 |
+
|
| 399 |
+
def getBlockSize(self) -> cv2.typing.Size: ...
|
| 400 |
+
|
| 401 |
+
def setNrGainsFilteringIterations(self, nr_iterations: int) -> None: ...
|
| 402 |
+
|
| 403 |
+
def getNrGainsFilteringIterations(self) -> int: ...
|
| 404 |
+
|
| 405 |
+
|
| 406 |
+
class BestOf2NearestMatcher(FeaturesMatcher):
|
| 407 |
+
# Functions
|
| 408 |
+
def __init__(self, try_use_gpu: bool = ..., match_conf: float = ..., num_matches_thresh1: int = ..., num_matches_thresh2: int = ..., matches_confindece_thresh: float = ...) -> None: ...
|
| 409 |
+
|
| 410 |
+
def collectGarbage(self) -> None: ...
|
| 411 |
+
|
| 412 |
+
@classmethod
|
| 413 |
+
def create(cls, try_use_gpu: bool = ..., match_conf: float = ..., num_matches_thresh1: int = ..., num_matches_thresh2: int = ..., matches_confindece_thresh: float = ...) -> BestOf2NearestMatcher: ...
|
| 414 |
+
|
| 415 |
+
|
| 416 |
+
class HomographyBasedEstimator(Estimator):
|
| 417 |
+
# Functions
|
| 418 |
+
def __init__(self, is_focals_estimated: bool = ...) -> None: ...
|
| 419 |
+
|
| 420 |
+
|
| 421 |
+
class AffineBasedEstimator(Estimator):
|
| 422 |
+
# Functions
|
| 423 |
+
def __init__(self) -> None: ...
|
| 424 |
+
|
| 425 |
+
|
| 426 |
+
class BundleAdjusterBase(Estimator):
|
| 427 |
+
# Functions
|
| 428 |
+
def refinementMask(self) -> cv2.typing.MatLike: ...
|
| 429 |
+
|
| 430 |
+
def setRefinementMask(self, mask: cv2.typing.MatLike) -> None: ...
|
| 431 |
+
|
| 432 |
+
def confThresh(self) -> float: ...
|
| 433 |
+
|
| 434 |
+
def setConfThresh(self, conf_thresh: float) -> None: ...
|
| 435 |
+
|
| 436 |
+
def termCriteria(self) -> cv2.typing.TermCriteria: ...
|
| 437 |
+
|
| 438 |
+
def setTermCriteria(self, term_criteria: cv2.typing.TermCriteria) -> None: ...
|
| 439 |
+
|
| 440 |
+
|
| 441 |
+
class NoSeamFinder(SeamFinder):
|
| 442 |
+
# Functions
|
| 443 |
+
def find(self, arg1: typing.Sequence[cv2.UMat], arg2: typing.Sequence[cv2.typing.Point], arg3: typing.Sequence[cv2.UMat]) -> typing.Sequence[cv2.UMat]: ...
|
| 444 |
+
|
| 445 |
+
|
| 446 |
+
class PairwiseSeamFinder(SeamFinder):
|
| 447 |
+
# Functions
|
| 448 |
+
def find(self, src: typing.Sequence[cv2.UMat], corners: typing.Sequence[cv2.typing.Point], masks: typing.Sequence[cv2.UMat]) -> typing.Sequence[cv2.UMat]: ...
|
| 449 |
+
|
| 450 |
+
|
| 451 |
+
class DpSeamFinder(SeamFinder):
|
| 452 |
+
# Functions
|
| 453 |
+
def __init__(self, costFunc: str) -> None: ...
|
| 454 |
+
|
| 455 |
+
def setCostFunction(self, val: str) -> None: ...
|
| 456 |
+
|
| 457 |
+
|
| 458 |
+
class TimelapserCrop(Timelapser):
|
| 459 |
+
...
|
| 460 |
+
|
| 461 |
+
class SphericalProjector(ProjectorBase):
|
| 462 |
+
# Functions
|
| 463 |
+
def mapForward(self, x: float, y: float, u: float, v: float) -> None: ...
|
| 464 |
+
|
| 465 |
+
def mapBackward(self, u: float, v: float, x: float, y: float) -> None: ...
|
| 466 |
+
|
| 467 |
+
|
| 468 |
+
class BlocksGainCompensator(BlocksCompensator):
|
| 469 |
+
# Functions
|
| 470 |
+
@typing.overload
|
| 471 |
+
def __init__(self, bl_width: int = ..., bl_height: int = ...) -> None: ...
|
| 472 |
+
@typing.overload
|
| 473 |
+
def __init__(self, bl_width: int, bl_height: int, nr_feeds: int) -> None: ...
|
| 474 |
+
|
| 475 |
+
@typing.overload
|
| 476 |
+
def apply(self, index: int, corner: cv2.typing.Point, image: cv2.typing.MatLike, mask: cv2.typing.MatLike) -> cv2.typing.MatLike: ...
|
| 477 |
+
@typing.overload
|
| 478 |
+
def apply(self, index: int, corner: cv2.typing.Point, image: cv2.UMat, mask: cv2.UMat) -> cv2.UMat: ...
|
| 479 |
+
|
| 480 |
+
def getMatGains(self, umv: typing.Sequence[cv2.typing.MatLike] | None = ...) -> typing.Sequence[cv2.typing.MatLike]: ...
|
| 481 |
+
|
| 482 |
+
def setMatGains(self, umv: typing.Sequence[cv2.typing.MatLike]) -> None: ...
|
| 483 |
+
|
| 484 |
+
|
| 485 |
+
class BlocksChannelsCompensator(BlocksCompensator):
|
| 486 |
+
# Functions
|
| 487 |
+
def __init__(self, bl_width: int = ..., bl_height: int = ..., nr_feeds: int = ...) -> None: ...
|
| 488 |
+
|
| 489 |
+
|
| 490 |
+
class BestOf2NearestRangeMatcher(BestOf2NearestMatcher):
|
| 491 |
+
# Functions
|
| 492 |
+
def __init__(self, range_width: int = ..., try_use_gpu: bool = ..., match_conf: float = ..., num_matches_thresh1: int = ..., num_matches_thresh2: int = ...) -> None: ...
|
| 493 |
+
|
| 494 |
+
|
| 495 |
+
class AffineBestOf2NearestMatcher(BestOf2NearestMatcher):
|
| 496 |
+
# Functions
|
| 497 |
+
def __init__(self, full_affine: bool = ..., try_use_gpu: bool = ..., match_conf: float = ..., num_matches_thresh1: int = ...) -> None: ...
|
| 498 |
+
|
| 499 |
+
|
| 500 |
+
class NoBundleAdjuster(BundleAdjusterBase):
|
| 501 |
+
# Functions
|
| 502 |
+
def __init__(self) -> None: ...
|
| 503 |
+
|
| 504 |
+
|
| 505 |
+
class BundleAdjusterReproj(BundleAdjusterBase):
|
| 506 |
+
# Functions
|
| 507 |
+
def __init__(self) -> None: ...
|
| 508 |
+
|
| 509 |
+
|
| 510 |
+
class BundleAdjusterRay(BundleAdjusterBase):
|
| 511 |
+
# Functions
|
| 512 |
+
def __init__(self) -> None: ...
|
| 513 |
+
|
| 514 |
+
|
| 515 |
+
class BundleAdjusterAffine(BundleAdjusterBase):
|
| 516 |
+
# Functions
|
| 517 |
+
def __init__(self) -> None: ...
|
| 518 |
+
|
| 519 |
+
|
| 520 |
+
class BundleAdjusterAffinePartial(BundleAdjusterBase):
|
| 521 |
+
# Functions
|
| 522 |
+
def __init__(self) -> None: ...
|
| 523 |
+
|
| 524 |
+
|
| 525 |
+
class VoronoiSeamFinder(PairwiseSeamFinder):
|
| 526 |
+
# Functions
|
| 527 |
+
def find(self, src: typing.Sequence[cv2.UMat], corners: typing.Sequence[cv2.typing.Point], masks: typing.Sequence[cv2.UMat]) -> typing.Sequence[cv2.UMat]: ...
|
| 528 |
+
|
| 529 |
+
|
| 530 |
+
|
| 531 |
+
# Functions
|
| 532 |
+
def calibrateRotatingCamera(Hs: typing.Sequence[cv2.typing.MatLike], K: cv2.typing.MatLike | None = ...) -> tuple[bool, cv2.typing.MatLike]: ...
|
| 533 |
+
|
| 534 |
+
@typing.overload
|
| 535 |
+
def computeImageFeatures(featuresFinder: cv2.Feature2D, images: typing.Sequence[cv2.typing.MatLike], masks: typing.Sequence[cv2.typing.MatLike] | None = ...) -> typing.Sequence[ImageFeatures]: ...
|
| 536 |
+
@typing.overload
|
| 537 |
+
def computeImageFeatures(featuresFinder: cv2.Feature2D, images: typing.Sequence[cv2.UMat], masks: typing.Sequence[cv2.UMat] | None = ...) -> typing.Sequence[ImageFeatures]: ...
|
| 538 |
+
|
| 539 |
+
@typing.overload
|
| 540 |
+
def computeImageFeatures2(featuresFinder: cv2.Feature2D, image: cv2.typing.MatLike, mask: cv2.typing.MatLike | None = ...) -> ImageFeatures: ...
|
| 541 |
+
@typing.overload
|
| 542 |
+
def computeImageFeatures2(featuresFinder: cv2.Feature2D, image: cv2.UMat, mask: cv2.UMat | None = ...) -> ImageFeatures: ...
|
| 543 |
+
|
| 544 |
+
@typing.overload
|
| 545 |
+
def createLaplacePyr(img: cv2.typing.MatLike, num_levels: int, pyr: typing.Sequence[cv2.UMat]) -> typing.Sequence[cv2.UMat]: ...
|
| 546 |
+
@typing.overload
|
| 547 |
+
def createLaplacePyr(img: cv2.UMat, num_levels: int, pyr: typing.Sequence[cv2.UMat]) -> typing.Sequence[cv2.UMat]: ...
|
| 548 |
+
|
| 549 |
+
@typing.overload
|
| 550 |
+
def createLaplacePyrGpu(img: cv2.typing.MatLike, num_levels: int, pyr: typing.Sequence[cv2.UMat]) -> typing.Sequence[cv2.UMat]: ...
|
| 551 |
+
@typing.overload
|
| 552 |
+
def createLaplacePyrGpu(img: cv2.UMat, num_levels: int, pyr: typing.Sequence[cv2.UMat]) -> typing.Sequence[cv2.UMat]: ...
|
| 553 |
+
|
| 554 |
+
@typing.overload
|
| 555 |
+
def createWeightMap(mask: cv2.typing.MatLike, sharpness: float, weight: cv2.typing.MatLike) -> cv2.typing.MatLike: ...
|
| 556 |
+
@typing.overload
|
| 557 |
+
def createWeightMap(mask: cv2.UMat, sharpness: float, weight: cv2.UMat) -> cv2.UMat: ...
|
| 558 |
+
|
| 559 |
+
def focalsFromHomography(H: cv2.typing.MatLike, f0: float, f1: float, f0_ok: bool, f1_ok: bool) -> None: ...
|
| 560 |
+
|
| 561 |
+
def leaveBiggestComponent(features: typing.Sequence[ImageFeatures], pairwise_matches: typing.Sequence[MatchesInfo], conf_threshold: float) -> typing.Sequence[int]: ...
|
| 562 |
+
|
| 563 |
+
def matchesGraphAsString(paths: typing.Sequence[str], pairwise_matches: typing.Sequence[MatchesInfo], conf_threshold: float) -> str: ...
|
| 564 |
+
|
| 565 |
+
@typing.overload
|
| 566 |
+
def normalizeUsingWeightMap(weight: cv2.typing.MatLike, src: cv2.typing.MatLike) -> cv2.typing.MatLike: ...
|
| 567 |
+
@typing.overload
|
| 568 |
+
def normalizeUsingWeightMap(weight: cv2.UMat, src: cv2.UMat) -> cv2.UMat: ...
|
| 569 |
+
|
| 570 |
+
def overlapRoi(tl1: cv2.typing.Point, tl2: cv2.typing.Point, sz1: cv2.typing.Size, sz2: cv2.typing.Size, roi: cv2.typing.Rect) -> bool: ...
|
| 571 |
+
|
| 572 |
+
def restoreImageFromLaplacePyr(pyr: typing.Sequence[cv2.UMat]) -> typing.Sequence[cv2.UMat]: ...
|
| 573 |
+
|
| 574 |
+
def restoreImageFromLaplacePyrGpu(pyr: typing.Sequence[cv2.UMat]) -> typing.Sequence[cv2.UMat]: ...
|
| 575 |
+
|
| 576 |
+
@typing.overload
|
| 577 |
+
def resultRoi(corners: typing.Sequence[cv2.typing.Point], images: typing.Sequence[cv2.UMat]) -> cv2.typing.Rect: ...
|
| 578 |
+
@typing.overload
|
| 579 |
+
def resultRoi(corners: typing.Sequence[cv2.typing.Point], sizes: typing.Sequence[cv2.typing.Size]) -> cv2.typing.Rect: ...
|
| 580 |
+
|
| 581 |
+
def resultRoiIntersection(corners: typing.Sequence[cv2.typing.Point], sizes: typing.Sequence[cv2.typing.Size]) -> cv2.typing.Rect: ...
|
| 582 |
+
|
| 583 |
+
def resultTl(corners: typing.Sequence[cv2.typing.Point]) -> cv2.typing.Point: ...
|
| 584 |
+
|
| 585 |
+
def selectRandomSubset(count: int, size: int, subset: typing.Sequence[int]) -> None: ...
|
| 586 |
+
|
| 587 |
+
def stitchingLogLevel() -> int: ...
|
| 588 |
+
|
| 589 |
+
@typing.overload
|
| 590 |
+
def strip(params: cv2.gapi.ie.PyParams) -> cv2.gapi.GNetParam: ...
|
| 591 |
+
@typing.overload
|
| 592 |
+
def strip(params: cv2.gapi.onnx.PyParams) -> cv2.gapi.GNetParam: ...
|
| 593 |
+
@typing.overload
|
| 594 |
+
def strip(params: cv2.gapi.ov.PyParams) -> cv2.gapi.GNetParam: ...
|
| 595 |
+
|
| 596 |
+
def waveCorrect(rmats: typing.Sequence[cv2.typing.MatLike], kind: WaveCorrectKind) -> typing.Sequence[cv2.typing.MatLike]: ...
|
| 597 |
+
|
| 598 |
+
|