adaboostcarthaarclassifier.txt

人脸检测领域经典的Haar人脸检测。使用OpenCV.

3 6 18 3 0 -1
3 7 18 1 0 3
haar_y3
0.009624 0 -1
-0.220546 0.391912 
1
2
9 2 15 6 0 -1
9 4 15 2 0 3
haar_y3
0.002551 0 -1
-0.113815 0.200323 
1
2
4 8 15 6 0 -1
4 10 15 2 0 3
haar_y3
0.031847 0 -1
0.025477 -0.533264 
1
3
0 5 24 4 0 -1
12 5 12 2 0 2
0 7 12 2 0 2
haar_x2_y2
0.033055 0 -1
0.178077 -0.627939 
1
2
7 8 6 12 0 -1
9 8 2 12 0 3
haar_x3
0.047601 0 -1
-0.147479 1.420418 
1
2
11 0 6 9 0 -1
13 0 2 9 0 3
haar_x3
-0.019572 0 -1
-0.526935 0.158386 
1
3
0 12 6 12 0 -1
0 12 3 6 0 2
3 18 3 6 0 2
haar_x2_y2
-0.054730 0 -1
0.882316 -0.166278 
1
2
14 12 10 6 0 -1
14 14 10 2 0 3
haar_y3
-0.022686 0 -1
-0.483869 0.150001 
1
2
2 7 18 9 0 -1
2 10 18 3 0 3
haar_y3
0.107132 0 -1
-0.213362 0.423339 
1
2
11 14 10 9 0 -1
11 17 10 3 0 3
haar_y3
-0.036380 0 -1
-0.074198 0.145894 
1
3
7 6 10 8 0 -1
7 6 5 4 0 2
12 10 5 4 0 2
haar_x2_y2
0.013936 0 -1
-0.249116 0.267712 
1
3
6 6 14 6 0 -1
13 6 7 3 0 2
6 9 7 3 0 2
haar_x2_y2
0.020992 0 -1
0.008796 0.430650 
1
2
4 13 9 7 0 -1
7 13 3 7 0 3
haar_x3
0.049119 0 -1
-0.175920 0.692829 
1
3
14 10 6 12 0 -1
17 10 3 6 0 2
14 16 3 6 0 2
haar_x2_y2
0.036316 0 -1
0.131453 -0.335973 
1
3
4 10 6 12 0 -1
4 10 3 6 0 2
7 16 3 6 0 2
haar_x2_y2
0.041228 0 -1
-0.045692 -1.351593 
1
2
13 9 8 6 0 -1
13 9 4 6 0 2
haar_x2
0.015672 0 -1
0.175441 -0.060550 
1
2
8 3 4 14 0 -1
10 3 2 14 0 2
haar_x2
-0.016286 0 -1
-1.130819 -0.039533 
1
2
17 0 3 18 0 -1
18 0 1 18 0 3
haar_x3
-0.003023 0 -1
-0.224543 0.236281 
1
2
4 12 16 12 0 -1
12 12 8 12 0 2
haar_x2
-0.137863 0 -1
0.453769 -0.210987 
1
2
15 0 6 14 0 -1
17 0 2 14 0 3
haar_x3
-0.009676 0 -1
-0.151051 0.207817 
1
2
3 0 6 14 0 -1
5 0 2 14 0 3
haar_x3
-0.024840 0 -1
-0.683503 -0.008004 
1
2
12 2 12 20 0 -1
16 2 4 20 0 3
haar_x3
-0.139644 0 -1
0.650113 0.046544 
1
2
0 2 12 20 0 -1
4 2 4 20 0 3
haar_x3
-0.082154 0 -1
0.448872 -0.235920 
1
2
16 0 6 17 0 -1
18 0 2 17 0 3
haar_x3
0.003845 0 -1
-0.088173 0.273468 
1
2
2 0 6 17 0 -1
4 0 2 17 0 3
haar_x3
-0.006658 0 -1
-0.468666 0.077002 
1
2
15 6 9 6 0 -1
15 8 9 2 0 3
haar_y3
-0.015898 0 -1
0.292684 -0.021941 
1
2
0 6 9 6 0 -1
0 8 9 2 0 3
haar_y3
-0.050946 0 -1
-1.209379 -0.042110 
1
2
18 1 6 13 0 -1
20 1 2 13 0 3
haar_x3
0.016838 0 -1
-0.045596 0.501807 
1
2
0 1 6 13 0 -1
2 1 2 13 0 3
haar_x3
0.015919 0 -1
-0.269043 0.265163 
1
2
16 0 4 9 0 -1
16 0 2 9 0 2
haar_x2
0.003631 0 -1
-0.130461 0.318071 
1
2
5 10 12 7 0 -1
9 10 4 7 0 3
haar_x3
-0.086145 0 -1
1.944366 -0.139783 
1
2
12 9 12 6 0 -1
12 11 12 2 0 3
haar_y3
0.033141 0 -1
0.152668 -0.030866 
1
2
0 9 12 6 0 -1
0 11 12 2 0 3
haar_y3
-0.003968 0 -1
-0.712023 -0.013844 
1
2
5 7 14 9 0 -1
5 10 14 3 0 3
haar_y3
-0.024008 0 -1
0.920078 0.046724 
1
2
0 15 20 3 0 -1
0 16 20 1 0 3
haar_y3
0.008732 0 -1
-0.225673 0.319318 
1
3
8 10 8 10 0 -1
12 10 4 5 0 2
8 15 4 5 0 2
haar_x2_y2
-0.027787 0 -1
-0.723371 0.170186 
1
2
5 4 13 9 0 -1
5 7 13 3 0 3
haar_y3
-0.194553 0 -1
1.246186 -0.147362 
1
2
10 2 6 18 0 -1
10 8 6 6 0 3
haar_y3
-0.108697 0 -1
-1.446518 0.121453 
1
2
6 0 6 9 0 -1
8 0 2 9 0 3
haar_x3
-0.019495 0 -1
-0.781531 -0.023733 
1
2
6 9 12 4 0 -1
6 11 12 2 0 2
haar_y2
0.003065 0 -1
-0.854714 0.166870 
1
2
3 2 15 12 0 -1
3 6 15 4 0 3
haar_y3
0.059194 0 -1
-0.148537 1.127347 
1
2
12 0 12 5 0 -1
16 0 4 5 0 3
haar_x3
-0.054208 0 -1
0.547270 0.035524 
1
2
0 15 18 3 0 -1
6 15 6 3 0 3
haar_x3
-0.039325 0 -1
0.366426 -0.205440 
1
2
0 14 24 5 0 -1
8 14 8 5 0 3
haar_x3
0.082279 0 -1
-0.035008 0.539942 
1
2
5 1 3 18 0 -1
6 1 1 18 0 3
haar_x3
-0.007448 0 -1
-0.615375 -0.003532 
1
2
10 0 4 14 0 -1
10 0 2 14 0 2
haar_x2
0.007377 0 -1
-0.065591 0.419614 
1
2
9 3 4 9 0 -1
11 3 2 9 0 2
haar_x2
0.007078 0 -1
-0.341295 0.125368 
1
3
8 2 12 6 0 -1
14 2 6 3 0 2
8 5 6 3 0 2
haar_x2_y2
-0.015582 0 -1
-0.302404 0.215110 
1
2
0 4 17 4 0 -1
0 6 17 2 0 2
haar_y2
-0.002740 0 -1
0.076553 -0.410605 
1
2
16 16 5 8 0 -1
16 20 5 4 0 2
haar_y2
-0.070600 0 -1
-0.973562 0.112418 
1
2
3 16 5 8 0 -1
3 20 5 4 0 2
haar_y2
-0.011706 0 -1
0.185607 -0.297552 
1
2
6 18 18 2 0 -1
6 19 18 1 0 2
haar_y2
0.000715 0 -1
-0.059650 0.248247 
1
2
0 0 12 5 0 -1
4 0 4 5 0 3
haar_x3
-0.036866 0 -1
0.327517 -0.230596 
1
3
14 3 6 12 0 -1
17 3 3 6 0 2
14 9 3 6 0 2
haar_x2_y2
-0.032527 0 -1
-0.293203 0.154277 
1
2
0 12 6 12 0 -1
2 12 2 12 0 3
haar_x3
-0.074814 0 -1
-1.214357 -0.052244 
1
2
2 3 21 3 0 -1
2 4 21 1 0 3
haar_y3
0.041470 0 -1
0.130625 -2.327437 
1
3
4 3 6 12 0 -1
4 3 3 6 0 2
7 9 3 6 0 2
haar_x2_y2
-0.028880 0 -1
-0.660746 -0.009096 
1
3
12 8 12 6 0 -1
18 8 6 3 0 2
12 11 6 3 0 2
haar_x2_y2
0.046382 0 -1
0.166302 -0.669495 
1
2
0 15 16 9 0 -1
8 15 8 9 0 2
haar_x2
0.254250 0 -1
-0.054642 -1.267608 
1
2
6 13 18 5 0 -1
6 13 9 5 0 2
haar_x2
0.002400 0 -1
0.202768 0.014668 
1
2
1 6 15 6 0 -1
6 6 5 6 0 3
haar_x3
-0.082806 0 -1
-0.787136 -0.024469 
1
2
11 9 9 6 0 -1
14 9 3 6 0 3
haar_x3
-0.011438 0 -1
0.286234 -0.030894 
1
2
3 0 15 11 0 -1
8 0 5 11 0 3
haar_x3
-0.129134 0 -1
1.729293 -0.142939 
1
2
15 3 3 18 0 -1
15 9 3 6 0 3
haar_y3
0.038553 0 -1
0.019233 0.377326 
1
2
6 3 3 18 0 -1
6 9 3 6 0 3
haar_y3
0.101914 0 -1
-0.074534 -3.386890 
1
3
9 5 10 8 0 -1
14 5 5 4 0 2
9 9 5 4 0 2
haar_x2_y2
-0.019068 0 -1
0.318141 0.019261 
1
3
4 4 16 8 0 -1
4 4 8 4 0 2
12 8 8 4 0 2
haar_x2_y2
-0.060775 0 -1
0.769363 -0.176440 
1
2
7 7 12 3 0 -1
7 7 6 3 0 2
haar_x2
0.024680 0 -1
0.183965 -0.308688 
1
2
5 0 9 13 0 -1
8 0 3 13 0 3
haar_x3
0.026759 0 -1
-0.234549 0.330566 
1
2
11 0 6 9 0 -1
13 0 2 9 0 3
haar_x3
0.014970 0 -1
0.172136 -0.182489 
1
2
7 0 6 9 0 -1
9 0 2 9 0 3
haar_x3
0.026143 0 -1
-0.046464 -1.131838 
1
2
8 1 10 9 0 -1
8 4 10 3 0 3
haar_y3
-0.037512 0 -1
0.804040 0.069660 
1
2
0 2 18 2 0 -1
0 3 18 1 0 2
haar_y2
-0.005323 0 -1
-0.818844 -0.018225 
1
3
10 13 14 6 0 -1
17 13 7 3 0 2
10 16 7 3 0 2
haar_x2_y2
0.017813 0 -1
0.149578 -0.186672 
1
3
0 13 14 6 0 -1
0 13 7 3 0 2
7 16 7 3 0 2
haar_x2_y2
-0.034010 0 -1
-0.728523 -0.016616 
1
2
20 2 3 21 0 -1
21 2 1 21 0 3
haar_x3
-0.015953 0 -1
0.569440 0.013832 
1
2
0 9 5 12 0 -1
0 13 5 4 0 3
haar_y3
0.019744 0 -1
0.040525 -0.417734 
1
2
12 6 12 6 0 -1
12 8 12 2 0 3
haar_y3
-0.103748 0 -1
-1.982515 0.119602 
1
2
1 8 20 3 0 -1
1 9 20 1 0 3
haar_y3
-0.019285 0 -1
0.502306 -0.197459 
1
2
5 7 19 3 0 -1
5 8 19 1 0 3
haar_y3
-0.012780 0 -1
0.401950 -0.026958 
1
2
1 12 9 6 0 -1
1 14 9 2 0 3
haar_y3
-0.016353 0 -1
-0.766088 -0.024209 
1
2
6 10 14 12 0 -1
6 14 14 4 0 3
haar_y3
-0.127637 0 -1
0.865785 0.064206 
1
2
5 6 14 18 0 -1
5 12 14 6 0 3
haar_y3
0.019069 0 -1
-0.559298 -0.001688 
1
2
11 12 9 7 0 -1
14 12 3 7 0 3
haar_x3
0.032481 0 -1
0.040722 0.489251 
1
2
1 15 18 4 0 -1
1 17 18 2 0 2
haar_y2
0.009485 0 -1
-0.192319 0.511397 
1
2
11 14 6 9 0 -1
11 17 6 3 0 3
haar_y3
0.005047 0 -1
0.187068 -0.161136 
1
3
0 8 18 4 0 -1
0 8 9 2 0 2
9 10 9 2 0 2
haar_x2_y2
0.041268 0 -1
-0.048818 -1.132630 
1
3
3 10 20 6 0 -1
13 10 10 3 0 2
3 13 10 3 0 2
haar_x2_y2
-0.076359 0 -1
1.416939 0.087320 
1
3
1 10 20 6 0 -1
1 10 10 3 0 2
11 13 10 3 0 2
haar_x2_y2
-0.072835 0 -1
1.318986 -0.148191 
1
2
0 9 24 2 0 -1
0 9 12 2 0 2
haar_x2
0.059577 0 -1
0.048377 0.856118 
1
3
1 12 20 8 0 -1
1 12 10 4 0 2
11 16 10 4 0 2
haar_x2_y2
0.020264 0 -1
-0.210441 0.338590 
1
2
11 12 9 7 0 -1
14 12 3 7 0 3
haar_x3
-0.080301 0 -1
-1.246440 0.118571 
1
2
4 12 9 7 0 -1
7 12 3 7 0 3
haar_x3
-0.017835 0 -1
0.257823 -0.245648 
1
2
12 12 8 5 0 -1
12 12 4 5 0 2
haar_x2
0.011431 0 -1
0.229498 -0.294976 
1
2
4 12 8 5 0 -1
8 12 4 5 0 2
haar_x2
-0.025541 0 -1
-0.862530 -0.000704 
1
2
13 10 4 10 0 -1
13 10 2 10 0 2
haar_x2
-0.000769 0 -1
0.315114 -0.143490 
1
2
1 15 20 2 0 -1
11 15 10 2 0 2
haar_x2
-0.014454 0 -1
0.251485 -0.282329 
1
2
9 10 6 6 0 -1
9 10 3 6 0 2
haar_x2
0.008673 0 -1
0.266014 -0.281908 
-3.210350