adaboostcarthaarclassifier.txt

人脸检测领域经典的Haar人脸检测。使用OpenCV.

62
1
2
0 2 12 4 0 -1
6 2 6 4 0 2
haar_x2
0.031347 0 -1
-0.888846 0.949368 
1
2
6 8 14 6 0 -1
6 11 14 3 0 2
haar_y2
0.031918 0 -1
-1.114688 0.488890 
1
2
7 5 6 6 0 -1
10 5 3 6 0 2
haar_x2
0.006594 0 -1
-1.009769 0.497238 
1
2
10 5 6 16 0 -1
10 13 6 8 0 2
haar_y2
0.026148 0 -1
0.259913 -1.253748 
1
2
1 4 9 16 0 -1
4 4 3 16 0 3
haar_x3
0.012845 0 -1
-0.571386 0.596595 
1
2
5 0 18 9 0 -1
5 3 18 3 0 3
haar_y3
0.026345 0 -1
-0.552032 0.302174 
1
2
9 15 5 8 0 -1
9 19 5 4 0 2
haar_y2
-0.015083 0 -1
-1.287124 0.223542 
1
2
20 0 4 9 0 -1
20 0 2 9 0 2
haar_x2
-0.038887 0 -1
1.742505 -0.099747 
1
2
2 0 18 3 0 -1
2 1 18 1 0 3
haar_y3
-0.005703 0 -1
-1.052324 0.183626 
1
2
5 22 19 2 0 -1
5 23 19 1 0 2
haar_y2
-0.001486 0 -1
0.567842 -0.467420 
1
2
0 0 4 9 0 -1
2 0 2 9 0 2
haar_x2
-0.028486 0 -1
1.308291 -0.264609 
1
2
5 6 19 18 0 -1
5 12 19 6 0 3
haar_y3
0.066225 0 -1
-0.462107 0.417496 
1
2
0 1 6 9 0 -1
2 1 2 9 0 3
haar_x3
0.008857 0 -1
-0.414749 0.592048 
1
3
6 5 14 12 0 -1
13 5 7 6 0 2
6 11 7 6 0 2
haar_x2_y2
0.011356 0 -1
0.361031 -0.457812 
1
2
0 1 20 2 0 -1
0 2 20 1 0 2
haar_y2
-0.002768 0 -1
-0.892389 0.141990 
1
2
1 2 22 3 0 -1
1 3 22 1 0 3
haar_y3
0.011247 0 -1
0.293534 -0.973306 
1
2
2 8 7 9 0 -1
2 11 7 3 0 3
haar_y3
0.007197 0 -1
-0.793349 0.183134 
1
3
2 12 22 4 0 -1
13 12 11 2 0 2
2 14 11 2 0 2
haar_x2_y2
0.031769 0 -1
0.155231 -1.324564 
1
3
0 12 22 4 0 -1
0 12 11 2 0 2
11 14 11 2 0 2
haar_x2_y2
0.025174 0 -1
0.034215 -2.094813 
1
2
9 7 6 11 0 -1
11 7 2 11 0 3
haar_x3
0.007536 0 -1
-0.394506 0.513340 
1
2
7 1 9 6 0 -1
10 1 3 6 0 3
haar_x3
0.032873 0 -1
0.088373 -1.281412 
1
2
11 2 4 10 0 -1
11 7 4 5 0 2
haar_y2
-0.002738 0 -1
0.552865 -0.463850 
1
2
6 4 12 12 0 -1
6 10 12 6 0 2
haar_y2
-0.038075 0 -1
-1.849727 0.045944 
1
2
18 1 6 15 0 -1
18 6 6 5 0 3
haar_y3
-0.038984 0 -1
-0.482237 0.347606 
1
2
3 15 18 3 0 -1
3 16 18 1 0 3
haar_y3
0.002803 0 -1
-0.451547 0.428063 
1
2
18 5 6 9 0 -1
18 8 6 3 0 3
haar_y3
-0.054146 0 -1
-0.845208 0.166749 
1
3
1 5 16 6 0 -1
1 5 8 3 0 2
9 8 8 3 0 2
haar_x2_y2
-0.008328 0 -1
0.353483 -0.471632 
1
2
11 0 6 9 0 -1
13 0 2 9 0 3
haar_x3
0.033778 0 -1
0.184631 -1.668667 
1
3
0 4 24 14 0 -1
0 4 12 7 0 2
12 11 12 7 0 2
haar_x2_y2
-0.112381 0 -1
-1.252157 0.035992 
1
2
13 0 4 13 0 -1
13 0 2 13 0 2
haar_x2
-0.010408 0 -1
-0.816204 0.234286 
1
2
7 0 4 13 0 -1
9 0 2 13 0 2
haar_x2
-0.004944 0 -1
-0.925847 0.100348 
1
2
11 6 6 9 0 -1
13 6 2 9 0 3
haar_x3
-0.009303 0 -1
0.564993 -0.188819 
1
2
8 7 6 9 0 -1
10 7 2 9 0 3
haar_x3
-0.011750 0 -1
0.803024 -0.382770 
1
2
13 17 9 6 0 -1
13 19 9 2 0 3
haar_y3
-0.023217 0 -1
-0.849270 0.196712 
1
3
2 18 14 6 0 -1
2 18 7 3 0 2
9 21 7 3 0 2
haar_x2_y2
0.016866 0 -1
-0.405919 0.506953 
1
3
3 18 18 4 0 -1
12 18 9 2 0 2
3 20 9 2 0 2
haar_x2_y2
-0.024031 0 -1
-1.529752 0.233450 
1
2
0 20 15 4 0 -1
5 20 5 4 0 3
haar_x3
-0.036946 0 -1
0.630077 -0.317804 
1
2
9 15 15 9 0 -1
14 15 5 9 0 3
haar_x3
-0.061564 0 -1
0.586279 -0.012108 
1
2
4 4 16 4 0 -1
4 6 16 2 0 2
haar_y2
0.021661 0 -1
-0.256237 1.040985 
1
2
7 6 10 6 0 -1
7 8 10 2 0 3
haar_y3
-0.003671 0 -1
0.291711 -0.832873 
1
2
0 14 15 10 0 -1
5 14 5 10 0 3
haar_x3
0.044849 0 -1
-0.396332 0.456620 
1
3
7 9 10 14 0 -1
12 9 5 7 0 2
7 16 5 7 0 2
haar_x2_y2
0.057195 0 -1
0.210239 -1.500480 
1
2
7 6 6 9 0 -1
9 6 2 9 0 3
haar_x3
-0.011342 0 -1
0.440713 -0.386538 
1
2
3 6 18 3 0 -1
3 7 18 1 0 3
haar_y3
-0.012004 0 -1
0.939546 -0.105895 
1
2
0 10 18 3 0 -1
0 11 18 1 0 3
haar_y3
0.022516 0 -1
0.009448 -1.679951 
1
3
3 16 18 4 0 -1
12 16 9 2 0 2
3 18 9 2 0 2
haar_x2_y2
-0.019809 0 -1
-1.013364 0.241466 
1
3
4 6 14 6 0 -1
4 6 7 3 0 2
11 9 7 3 0 2
haar_x2_y2
0.015891 0 -1
-0.375076 0.466141 
1
2
13 0 2 18 0 -1
13 0 1 18 0 2
haar_x2
-0.009142 0 -1
-0.804841 0.178170 
1
2
9 0 2 18 0 -1
10 0 1 18 0 2
haar_x2
-0.004474 0 -1
-1.056207 0.073305 
1
2
5 7 15 10 0 -1
10 7 5 10 0 3
haar_x3
0.127425 0 -1
0.201656 -1.546793 
1
2
1 20 21 4 0 -1
8 20 7 4 0 3
haar_x3
0.047703 0 -1
-0.379378 0.378860 
1
2
10 5 5 18 0 -1
10 14 5 9 0 2
haar_y2
0.053608 0 -1
0.212205 -1.239971 
1
3
0 2 24 6 0 -1
0 2 12 3 0 2
12 5 12 3 0 2
haar_x2_y2
-0.039681 0 -1
-1.025755 0.051283 
1
3
1 1 22 8 0 -1
12 1 11 4 0 2
1 5 11 4 0 2
haar_x2_y2
-0.067327 0 -1
-1.030475 0.230053 
1
2
4 0 15 9 0 -1
4 3 15 3 0 3
haar_y3
0.133376 0 -1
-0.208690 1.227251 
1
2
0 0 24 19 0 -1
8 0 8 19 0 3
haar_x3
-0.209193 0 -1
0.879299 -0.044255 
1
2
2 21 18 3 0 -1
11 21 9 3 0 2
haar_x2
-0.065589 0 -1
1.044343 -0.216821 
1
2
9 7 10 4 0 -1
9 7 5 4 0 2
haar_x2
0.061883 0 -1
0.137982 -1.900906 
1
2
5 7 10 4 0 -1
10 7 5 4 0 2
haar_x2
-0.025579 0 -1
-1.660760 0.005844 
1
3
17 8 6 16 0 -1
20 8 3 8 0 2
17 16 3 8 0 2
haar_x2_y2
-0.034827 0 -1
0.799404 -0.082407 
1
3
1 15 20 4 0 -1
1 15 10 2 0 2
11 17 10 2 0 2
haar_x2_y2
-0.018210 0 -1
-0.960740 0.066320 
1
2
14 15 10 6 0 -1
14 17 10 2 0 3
haar_y3
0.015071 0 -1
0.198994 -0.764330 
-4.021809