adaboostcarthaarclassifier.txt

人脸检测领域经典的Haar人脸检测。使用OpenCV.

2
15 12 9 6 0 -1
15 14 9 2 0 3
haar_y3
-0.016140 0 -1
-0.575894 0.180625 
1
3
3 9 18 6 0 -1
3 9 9 3 0 2
12 12 9 3 0 2
haar_x2_y2
-0.048330 0 -1
0.973085 -0.165130 
1
2
18 5 6 9 0 -1
18 8 6 3 0 3
haar_y3
0.017530 0 -1
0.179327 -0.279489 
1
2
0 5 6 9 0 -1
0 8 6 3 0 3
haar_y3
-0.034310 0 -1
-0.810725 -0.016596 
1
3
4 7 18 4 0 -1
13 7 9 2 0 2
4 9 9 2 0 2
haar_x2_y2
-0.004583 0 -1
0.279090 -0.007452 
1
3
2 1 12 20 0 -1
2 1 6 10 0 2
8 11 6 10 0 2
haar_x2_y2
0.128964 0 -1
-0.135085 2.541154 
1
2
17 0 6 23 0 -1
17 0 3 23 0 2
haar_x2
0.030361 0 -1
-0.068419 0.287341 
1
2
1 6 2 18 0 -1
1 15 2 9 0 2
haar_y2
0.044086 0 -1
-0.181359 0.654132 
1
2
8 8 10 6 0 -1
8 10 10 2 0 3
haar_y3
0.003016 0 -1
-0.156905 0.269638 
1
3
0 6 20 6 0 -1
0 6 10 3 0 2
10 9 10 3 0 2
haar_x2_y2
-0.026337 0 -1
0.291756 -0.252741 
1
2
11 12 12 5 0 -1
15 12 4 5 0 3
haar_x3
-0.027866 0 -1
0.443875 0.055038 
1
2
0 4 3 19 0 -1
1 4 1 19 0 3
haar_x3
0.011725 0 -1
-0.193465 0.466567 
1
2
19 1 3 18 0 -1
20 1 1 18 0 3
haar_x3
0.001569 0 -1
-0.008236 0.257009 
1
2
2 1 3 18 0 -1
3 1 1 18 0 3
haar_x3
-0.003555 0 -1
-0.424309 0.071174 
1
2
3 10 18 3 0 -1
9 10 6 3 0 3
haar_x3
-0.031695 0 -1
-0.853935 0.169162 
1
2
4 4 10 9 0 -1
9 4 5 9 0 2
haar_x2
-0.032097 0 -1
0.837849 -0.175973 
1
2
7 13 14 7 0 -1
7 13 7 7 0 2
haar_x2
0.155442 0 -1
0.099550 2.387330 
1
2
3 13 14 7 0 -1
10 13 7 7 0 2
haar_x2
0.088046 0 -1
-0.187253 0.623843 
1
2
8 15 9 6 0 -1
11 15 3 6 0 3
haar_x3
-0.001672 0 -1
0.250087 -0.065119 
1
3
4 14 8 10 0 -1
4 14 4 5 0 2
8 19 4 5 0 2
haar_x2_y2
0.009341 0 -1
-0.353789 0.107150 
1
2
10 14 4 10 0 -1
10 19 4 5 0 2
haar_y2
0.037138 0 -1
0.163870 -0.917184 
1
2
3 8 5 16 0 -1
3 16 5 8 0 2
haar_y2
0.080184 0 -1
-0.148130 1.489519 
1
2
15 10 9 6 0 -1
15 12 9 2 0 3
haar_y3
-0.000791 0 -1
-0.213269 0.196764 
1
2
0 10 9 6 0 -1
0 12 9 2 0 3
haar_y3
-0.005040 0 -1
-0.713187 0.001824 
1
2
6 7 12 9 0 -1
6 10 12 3 0 3
haar_y3
0.119624 0 -1
0.033099 1.044171 
1
2
9 10 5 8 0 -1
9 14 5 4 0 2
haar_y2
-0.004528 0 -1
-0.273085 0.272298 
1
2
12 1 3 12 0 -1
12 7 3 6 0 2
haar_y2
-0.029639 0 -1
0.362258 0.056795 
1
2
8 15 6 9 0 -1
10 15 2 9 0 3
haar_x3
0.026650 0 -1
-0.048041 -0.967235 
1
2
16 6 7 6 0 -1
16 9 7 3 0 2
haar_y2
0.044422 0 -1
0.130529 -0.350773 
1
2
8 1 4 22 0 -1
10 1 2 22 0 2
haar_x2
-0.024360 0 -1
-1.076690 -0.051223 
1
2
6 6 14 3 0 -1
6 6 7 3 0 2
haar_x2
0.019735 0 -1
0.026238 0.280705 
1
2
0 18 19 3 0 -1
0 19 19 1 0 3
haar_y3
0.005493 0 -1
-0.261113 0.210114 
1
2
17 0 6 24 0 -1
17 0 3 24 0 2
haar_x2
-0.232003 0 -1
-1.774844 0.114826 
1
2
0 13 15 6 0 -1
5 13 5 6 0 3
haar_x3
-0.025614 0 -1
0.299008 -0.225025 
1
3
9 6 10 14 0 -1
14 6 5 7 0 2
9 13 5 7 0 2
haar_x2_y2
-0.006495 0 -1
0.195638 -0.099763 
1
3
1 6 8 10 0 -1
1 6 4 5 0 2
5 11 4 5 0 2
haar_x2_y2
0.003984 0 -1
-0.430215 0.081261 
1
2
7 6 12 5 0 -1
7 6 6 5 0 2
haar_x2
-0.035813 0 -1
-0.509874 0.163459 
1
2
7 7 9 6 0 -1
10 7 3 6 0 3
haar_x3
-0.014169 0 -1
0.779781 -0.174763 
1
3
7 8 14 14 0 -1
14 8 7 7 0 2
7 15 7 7 0 2
haar_x2_y2
-0.126421 0 -1
-0.630479 0.127283 
1
3
3 8 14 14 0 -1
3 8 7 7 0 2
10 15 7 7 0 2
haar_x2_y2
0.068678 0 -1
-0.046448 -1.112898 
1
2
9 8 13 4 0 -1
9 10 13 2 0 2
haar_y2
0.085865 0 -1
0.118354 -4.823516 
1
3
3 2 6 12 0 -1
3 2 3 6 0 2
6 8 3 6 0 2
haar_x2_y2
0.015512 0 -1
-0.017468 -0.636934 
1
2
6 10 17 6 0 -1
6 13 17 3 0 2
haar_y2
0.081091 0 -1
0.086133 2.455943 
1
2
1 10 17 6 0 -1
1 13 17 3 0 2
haar_y2
0.018495 0 -1
0.040229 -0.508582 
1
2
16 7 8 9 0 -1
16 10 8 3 0 3
haar_y3
-0.086321 0 -1
-1.900676 0.110191 
1
2
0 7 8 9 0 -1
0 10 8 3 0 3
haar_y3
0.072355 0 -1
-0.062112 -1.416518 
1
3
0 9 24 10 0 -1
12 9 12 5 0 2
0 14 12 5 0 2
haar_x2_y2
-0.078179 0 -1
0.888493 0.042370 
1
2
3 2 15 8 0 -1
8 2 5 8 0 3
haar_x3
0.096682 0 -1
-0.220942 0.335751 
1
2
4 2 18 8 0 -1
10 2 6 8 0 3
haar_x3
-0.039876 0 -1
0.578048 0.045348 
1
3
0 1 18 4 0 -1
0 1 9 2 0 2
9 3 9 2 0 2
haar_x2_y2
-0.009535 0 -1
-0.541757 0.003240 
1
2
20 2 3 18 0 -1
21 2 1 18 0 3
haar_x3
0.000406 0 -1
-0.081549 0.358379 
1
2
1 3 3 19 0 -1
2 3 1 19 0 3
haar_x3
0.012108 0 -1
-0.202804 0.437680 
1
2
18 8 6 16 0 -1
20 8 2 16 0 3
haar_x3
-0.020874 0 -1
0.414699 -0.045568 
1
2
0 8 6 16 0 -1
2 8 2 16 0 3
haar_x3
0.057888 0 -1
-0.029010 -0.918223 
1
2
8 18 11 6 0 -1
8 20 11 2 0 3
haar_y3
0.000132 0 -1
-0.117724 0.200000 
1
2
4 6 12 5 0 -1
8 6 4 5 0 3
haar_x3
-0.017137 0 -1
0.330048 -0.230552 
1
2
7 6 12 5 0 -1
11 6 4 5 0 3
haar_x3
0.030655 0 -1
-0.021545 0.268782 
1
2
6 3 9 6 0 -1
9 3 3 6 0 3
haar_x3
-0.000787 0 -1
-0.441007 0.049158 
1
2
7 6 12 5 0 -1
7 6 6 5 0 2
haar_x2
0.088037 0 -1
0.117820 -2.829331 
1
2
9 8 6 7 0 -1
12 8 3 7 0 2
haar_x2
-0.039029 0 -1
0.917772 -0.158274 
1
2
8 2 9 6 0 -1
11 2 3 6 0 3
haar_x3
0.080106 0 -1
0.112892 -1.993728 
1
2
8 14 6 9 0 -1
8 17 6 3 0 3
haar_y3
0.039539 0 -1
-0.143574 1.308524 
1
2
8 2 9 6 0 -1
11 2 3 6 0 3
haar_x3
0.020684 0 -1
0.200481 -0.044187 
1
3
4 3 16 20 0 -1
4 3 8 10 0 2
12 13 8 10 0 2
haar_x2_y2
-0.067038 0 -1
0.326186 -0.205504 
1
3
7 6 10 12 0 -1
12 6 5 6 0 2
7 12 5 6 0 2
haar_x2_y2
0.046815 0 -1
0.158253 -0.955351 
1
2
0 2 7 12 0 -1
0 6 7 4 0 3
haar_y3
0.078444 0 -1
-0.074651 -2.116150 
1
2
12 17 11 6 0 -1
12 19 11 2 0 3
haar_y3
0.066380 0 -1
0.116419 -1.611352 
1
3
4 7 12 8 0 -1
4 7 6 4 0 2
10 11 6 4 0 2
haar_x2_y2
0.030054 0 -1
-0.165626 0.700254 
1
3
8 11 8 10 0 -1
12 11 4 5 0 2
8 16 4 5 0 2
haar_x2_y2
0.017120 0 -1
0.226277 -0.401150 
1
2
9 1 4 9 0 -1
11 1 2 9 0 2
haar_x2
0.020073 0 -1
-0.193897 0.444203 
1
2
14 0 3 22 0 -1
15 0 1 22 0 3
haar_x3
0.033102 0 -1
0.116375 -1.577168 
1
2
7 0 3 22 0 -1
8 0 1 22 0 3
haar_x3
-0.014882 0 -1
-0.896803 -0.042010 
1
3
4 7 18 4 0 -1
13 7 9 2 0 2
4 9 9 2 0 2
haar_x2_y2
-0.010281 0 -1
0.356030 -0.013124 
1
2
10 2 4 15 0 -1
10 7 4 5 0 3
haar_y3
-0.028695 0 -1
-0.460396 0.026802 
1
2
12 1 3 12 0 -1
12 7 3 6 0 2
haar_y2
-0.004719 0 -1
0.237888 -0.065519 
1
2
0 0 18 13 0 -1
9 0 9 13 0 2
haar_x2
0.322016 0 -1
-0.028490 -0.842346 
1
2
16 0 3 24 0 -1
17 0 1 24 0 3
haar_x3
-0.017045 0 -1
-0.509388 0.160576 
1
2
5 0 3 24 0 -1
6 0 1 24 0 3
haar_x3
-0.007347 0 -1
-0.541550 0.004732 
1
2
10 15 5 8 0 -1
10 19 5 4 0 2
haar_y2
-0.030002 0 -1
-0.887858 0.136218 
1
2
2 18 18 2 0 -1
2 19 18 1 0 2
haar_y2
-0.011293 0 -1
0.806152 -0.161595 
1
2
2 8 20 3 0 -1
2 9 20 1 0 3
haar_y3
0.004775 0 -1
0.012968 0.550799 
1
2
7 6 9 6 0 -1
7 8 9 2 0 3
haar_y3
0.005071 0 -1
-0.045728 -1.076626 
1
2
3 2 19 10 0 -1
3 7 19 5 0 2
haar_y2
0.193441 0 -1
0.071262 1.169452 
1
2
2 7 19 3 0 -1
2 8 19 1 0 3
haar_y3
0.005375 0 -1
-0.197362 0.382069 
1
2
15 6 9 4 0 -1
15 8 9 2 0 2
haar_y2
-0.068276 0 -1
-5.437234 0.111519 
1
2
2 2 18 8 0 -1
8 2 6 8 0 3
haar_x3
-0.034933 0 -1
0.447934 -0.186579 
1
2
10 9 14 4 0 -1
10 9 7 4 0 2
haar_x2
0.005122 0 -1
-0.014872 0.184139 
1
2
4 4 6 16 0 -1
7 4 3 16 0 2
haar_x2
0.095312 0 -1
-0.151171 0.949915 
1
2
15 8 9 16 0 -1
18 8 3 16 0 3
haar_x3
-0.062849 0 -1
0.464736 0.038405 
1
2
0 8 9 16 0 -1
3 8 3 16 0 3
haar_x3
-0.170407 0 -1
-1.650000 -0.063237 
1
2
18 0 6 14 0 -1
20 0 2 14 0 3
haar_x3
0.010584 0 -1
-0.038349 0.419138 
1
2
0 0 6 14 0 -1
2 0 2 14 0 3
haar_x3
-0.041579 0 -1
0.344619 -0.211877 
1
2
15 0 6 22 0 -1
17 0 2 22 0 3
haar_x3
0.127186 0 -1
0.123982 -2.125489 
1
2
3 0 6 22 0 -1
5 0 2 22 0 3
haar_x3
0.082557 0 -1
-0.062024 -1.487582 
1
2
12 2 12 20 0 -1
16 2 4 20 0 3
haar_x3
0.085293 0 -1
0.017088 0.320766 
1
2
0 2 12 20 0 -1
4 2 4 20 0 3
haar_x3
0.055544 0 -1
-0.274140 0.189764 
1
2
11 6 4 9 0 -1
11 6 2 9 0 2
haar_x2
0.004565 0 -1
-0.179202 0.279673 
1
2
9 0 6 16 0 -1
12 0 3 16 0 2
haar_x2
0.012998 0 -1
-0.322975 0.269418 
1
2
12 1 3 12 0 -1
12 7 3 6 0 2
haar_y2
0.057892 0 -1
0.126444 -0.607135 
1
3
3 4 18 6 0 -1
3 4 9 3 0 2
12 7 9 3 0 2
haar_x2_y2
-0.022824 0 -1
-0.496821 0.022377 
1
3
5 5 16 8 0 -1
13 5 8 4 0 2
5 9 8 4 0 2
haar_x2_y2
0.048312 0 -1
0.043607 0.485378 
1
2
0 13 10 6 0 -1
0 15 10 2 0 3
haar_y3
0.025714 0 -1
-0.042951 -0.930235 
1
2
8 14 9 6 0 -1
8 16 9 2 0 3
haar_y3
0.006927 0 -1
-0.002968 0.342963 
1
2
6 2 9 6 0 -1
9 2 3 6 0 3
haar_x3
-0.034447 0 -1
-1.529977 -0.061015 
1
3
14 1 10 8 0 -1
19 1 5 4 0 2
14 5 5 4 0 2
haar_x2_y2
0.029388 0 -1
0.037596 0.641724 
1
2
9 1 3 12 0 -1
9 7 3 6 0 2
haar_y2
-0.002432 0 -1
0.099089 -0.396881 
-3.370300