adaboostcarthaarclassifier.txt

人脸检测领域经典的Haar人脸检测。使用OpenCV.

52
1
2
6 0 12 9 0 -1
6 3 12 3 0 3
haar_y3
0.039974 0 -1
-1.217345 1.082671 
1
2
0 0 24 6 0 -1
8 0 8 6 0 3
haar_x3
0.188195 0 -1
-0.482894 1.404525 
1
2
4 7 16 12 0 -1
4 11 16 4 0 3
haar_y3
0.078027 0 -1
-1.078215 0.740403 
1
2
11 6 6 6 0 -1
11 6 3 6 0 2
haar_x2
0.000119 0 -1
-1.201998 0.377492 
1
2
0 20 24 3 0 -1
8 20 8 3 0 3
haar_x3
0.085057 0 -1
-0.439391 1.264734 
1
2
11 6 4 9 0 -1
11 6 2 9 0 2
haar_x2
0.008972 0 -1
-0.184405 0.457264 
1
2
4 13 15 4 0 -1
9 13 5 4 0 3
haar_x3
0.008812 0 -1
0.303967 -0.959911 
1
2
11 6 4 9 0 -1
11 6 2 9 0 2
haar_x2
-0.023508 0 -1
1.248753 0.046228 
1
2
9 6 4 9 0 -1
11 6 2 9 0 2
haar_x2
0.007004 0 -1
-0.594421 0.539633 
1
2
9 12 6 12 0 -1
9 18 6 6 0 2
haar_y2
0.033852 0 -1
0.284961 -1.489525 
1
2
1 22 18 2 0 -1
1 23 18 1 0 2
haar_y2
-0.003253 0 -1
0.481208 -0.527124 
1
2
10 7 4 10 0 -1
10 12 4 5 0 2
haar_y2
0.029097 0 -1
0.267439 -1.600785 
1
2
6 7 8 10 0 -1
6 12 8 5 0 2
haar_y2
-0.008479 0 -1
-1.310764 0.152431 
1
2
7 6 10 6 0 -1
7 8 10 2 0 3
haar_y3
-0.010795 0 -1
0.456136 -0.720509 
1
2
0 14 10 4 0 -1
0 16 10 2 0 2
haar_y2
-0.024620 0 -1
-1.732062 0.068363 
1
2
6 18 18 2 0 -1
6 19 18 1 0 2
haar_y2
0.003738 0 -1
-0.193033 0.682435 
1
2
1 1 22 3 0 -1
1 2 22 1 0 3
haar_y3
-0.012264 0 -1
-1.609529 0.075268 
1
2
6 16 18 3 0 -1
6 17 18 1 0 3
haar_y3
-0.004867 0 -1
0.742865 -0.215102 
1
2
2 4 6 15 0 -1
5 4 3 15 0 2
haar_x2
0.076726 0 -1
-0.268351 1.309414 
1
2
20 4 4 10 0 -1
20 4 2 10 0 2
haar_x2
0.028578 0 -1
-0.058793 1.219633 
1
2
0 4 4 10 0 -1
2 4 2 10 0 2
haar_x2
0.019694 0 -1
-0.351429 0.849270 
1
3
2 16 20 6 0 -1
12 16 10 3 0 2
2 19 10 3 0 2
haar_x2_y2
-0.029094 0 -1
-1.050730 0.298063 
1
2
0 12 8 9 0 -1
4 12 4 9 0 2
haar_x2
-0.029144 0 -1
0.825478 -0.326872 
1
2
12 0 6 9 0 -1
14 0 2 9 0 3
haar_x3
0.019741 0 -1
0.204526 -0.837602 
1
2
5 10 6 6 0 -1
8 10 3 6 0 2
haar_x2
0.004330 0 -1
0.205779 -0.668298 
1
3
11 8 12 6 0 -1
17 8 6 3 0 2
11 11 6 3 0 2
haar_x2_y2
-0.035501 0 -1
-1.296990 0.138975 
1
3
0 8 12 6 0 -1
0 8 6 3 0 2
6 11 6 3 0 2
haar_x2_y2
-0.016173 0 -1
-1.311057 0.075752 
1
2
12 0 6 9 0 -1
14 0 2 9 0 3
haar_x3
-0.022151 0 -1
-1.052439 0.192411 
1
2
6 0 6 9 0 -1
8 0 2 9 0 3
haar_x3
-0.022707 0 -1
-1.373531 0.066781 
1
2
8 14 9 6 0 -1
8 16 9 2 0 3
haar_y3
0.016608 0 -1
-0.037136 0.778464 
1
2
0 16 9 6 0 -1
0 18 9 2 0 3
haar_y3
-0.013309 0 -1
-0.998507 0.122481 
1
2
10 8 6 10 0 -1
12 8 2 10 0 3
haar_x3
-0.033732 0 -1
1.446136 0.013152 
1
2
3 19 12 3 0 -1
9 19 6 3 0 2
haar_x2
0.016935 0 -1
-0.371213 0.528422 
1
2
2 10 20 2 0 -1
2 11 20 1 0 2
haar_y2
0.003326 0 -1
-0.575685 0.392619 
1
3
2 9 18 12 0 -1
2 9 9 6 0 2
11 15 9 6 0 2
haar_x2_y2
0.083644 0 -1
0.016116 -2.117328 
1
2
3 0 18 24 0 -1
3 0 9 24 0 2
haar_x2
0.257852 0 -1
-0.081609 0.987825 
1
3
5 6 14 10 0 -1
5 6 7 5 0 2
12 11 7 5 0 2
haar_x2_y2
-0.036567 0 -1
-1.151211 0.096459 
1
3
9 5 10 12 0 -1
14 5 5 6 0 2
9 11 5 6 0 2
haar_x2_y2
-0.016446 0 -1
0.373155 -0.145854 
1
3
4 5 12 12 0 -1
4 5 6 6 0 2
10 11 6 6 0 2
haar_x2_y2
-0.003752 0 -1
0.261793 -0.581567 
1
2
4 14 18 3 0 -1
4 15 18 1 0 3
haar_y3
-0.006366 0 -1
0.754774 -0.170552 
1
2
6 13 8 8 0 -1
6 17 8 4 0 2
haar_y2
-0.003850 0 -1
0.226540 -0.638764 
1
2
3 16 18 6 0 -1
3 19 18 3 0 2
haar_y2
-0.045494 0 -1
-1.264030 0.252607 
1
2
0 0 6 6 0 -1
3 0 3 6 0 2
haar_x2
-0.023941 0 -1
0.870684 -0.271047 
1
2
6 6 12 18 0 -1
10 6 4 18 0 3
haar_x3
-0.077558 0 -1
-1.390161 0.236123 
1
2
6 1 4 14 0 -1
8 1 2 14 0 2
haar_x2
0.023614 0 -1
0.066140 -1.264542 
1
2
3 2 19 2 0 -1
3 3 19 1 0 2
haar_y2
-0.002575 0 -1
-0.538417 0.303791 
1
2
1 8 22 13 0 -1
12 8 11 13 0 2
haar_x2
0.120108 0 -1
-0.353430 0.528662 
1
2
8 9 11 4 0 -1
8 11 11 2 0 2
haar_y2
0.002290 0 -1
-0.587020 0.240610 
1
2
0 12 15 10 0 -1
5 12 5 10 0 3
haar_x3
0.069717 0 -1
-0.333489 0.519163 
1
2
12 16 12 6 0 -1
16 16 4 6 0 3
haar_x3
-0.046670 0 -1
0.697954 -0.014896 
1
2
0 16 12 6 0 -1
4 16 4 6 0 3
haar_x3
-0.050129 0 -1
0.861462 -0.259860 
1
2
19 1 5 12 0 -1
19 5 5 4 0 3
haar_y3
0.030148 0 -1
0.193328 -0.591311 
-4.386459