adaboostcarthaarclassifier.txt

人脸检测领域经典的Haar人脸检测。使用OpenCV.

1
2
7 3 12 5 0 -1
11 3 4 5 0 3
haar_x3
0.066724 0 -1
0.136664 -0.294110 
1
3
1 13 22 4 0 -1
1 13 11 2 0 2
12 15 11 2 0 2
haar_x2_y2
-0.013778 0 -1
-0.594439 0.015300 
1
2
9 12 12 6 0 -1
9 14 12 2 0 3
haar_y3
-0.017761 0 -1
0.404965 -0.003356 
1
2
0 5 9 6 0 -1
0 7 9 2 0 3
haar_y3
-0.042235 0 -1
-1.089794 -0.040225 
1
2
1 5 23 6 0 -1
1 7 23 2 0 3
haar_y3
-0.013525 0 -1
0.289219 -0.251948 
1
2
1 6 19 12 0 -1
1 10 19 4 0 3
haar_y3
-0.011106 0 -1
0.653128 -0.180537 
1
2
9 1 6 21 0 -1
9 8 6 7 0 3
haar_y3
-0.122846 0 -1
-1.957065 0.148154 
1
2
3 19 18 3 0 -1
9 19 6 3 0 3
haar_x3
0.047716 0 -1
-0.228756 0.342337 
1
2
9 14 6 9 0 -1
11 14 2 9 0 3
haar_x3
0.031817 0 -1
0.159763 -1.009197 
1
2
9 6 4 12 0 -1
11 6 2 12 0 2
haar_x2
0.004257 0 -1
-0.388813 0.084210 
1
2
16 0 6 9 0 -1
18 0 2 9 0 3
haar_x3
-0.061373 0 -1
1.715281 0.059325 
1
2
2 0 6 9 0 -1
4 0 2 9 0 3
haar_x3
-0.002703 0 -1
-0.381617 0.085127 
1
3
13 1 4 22 0 -1
15 1 2 11 0 2
13 12 2 11 0 2
haar_x2_y2
-0.068544 0 -1
-3.092589 0.117880 
1
2
1 8 8 12 0 -1
1 14 8 6 0 2
haar_y2
0.103725 0 -1
-0.137693 1.900941 
1
2
14 7 7 9 0 -1
14 10 7 3 0 3
haar_y3
0.015799 0 -1
-0.062660 0.259177 
1
3
3 12 18 4 0 -1
3 12 9 2 0 2
12 14 9 2 0 2
haar_x2_y2
-0.009804 0 -1
-0.562916 0.043923 
1
3
13 1 4 22 0 -1
15 1 2 11 0 2
13 12 2 11 0 2
haar_x2_y2
-0.009023 0 -1
0.252871 -0.041226 
1
3
7 1 4 22 0 -1
7 1 2 11 0 2
9 12 2 11 0 2
haar_x2_y2
-0.063755 0 -1
-2.617857 -0.074006 
1
3
4 7 20 4 0 -1
14 7 10 2 0 2
4 9 10 2 0 2
haar_x2_y2
0.038955 0 -1
0.059033 0.859456 
1
2
9 10 6 7 0 -1
12 10 3 7 0 2
haar_x2
-0.039803 0 -1
0.936005 -0.156394 
1
2
7 7 10 4 0 -1
7 7 5 4 0 2
haar_x2
0.050302 0 -1
0.137259 -2.554973 
1
2
0 3 4 15 0 -1
0 8 4 5 0 3
haar_y3
0.046250 0 -1
-0.013964 -0.710262 
1
3
15 0 8 12 0 -1
19 0 4 6 0 2
15 6 4 6 0 2
haar_x2_y2
0.062196 0 -1
0.059526 1.650910 
1
3
1 0 8 12 0 -1
1 0 4 6 0 2
5 6 4 6 0 2
haar_x2_y2
-0.064776 0 -1
0.713690 -0.172700 
1
2
14 5 6 16 0 -1
16 5 2 16 0 3
haar_x3
0.027523 0 -1
0.146316 -0.081429 
1
2
4 5 6 16 0 -1
6 5 2 16 0 3
haar_x3
0.000399 0 -1
-0.371445 0.101527 
1
2
15 0 6 16 0 -1
17 0 2 16 0 3
haar_x3
-0.004330 0 -1
-0.237563 0.267984 
1
2
3 0 6 16 0 -1
5 0 2 16 0 3
haar_x3
0.047297 0 -1
-0.027682 -0.849103 
1
2
0 2 24 3 0 -1
0 3 24 1 0 3
haar_y3
0.012509 0 -1
0.187302 -0.560011 
1
2
7 1 10 4 0 -1
7 3 10 2 0 2
haar_y2
0.045899 0 -1
-0.156012 0.970730 
1
2
1 0 23 8 0 -1
1 4 23 4 0 2
haar_y2
0.198534 0 -1
0.148955 -1.101553 
1
2
1 17 19 3 0 -1
1 18 19 1 0 3
haar_y3
0.016675 0 -1
-0.166153 0.822110 
1
2
6 18 18 2 0 -1
6 19 18 1 0 2
haar_y2
0.001983 0 -1
-0.071250 0.288109 
1
2
1 17 9 6 0 -1
1 19 9 2 0 3
haar_y3
0.022448 0 -1
-0.020981 -0.784165 
1
2
15 15 6 9 0 -1
15 18 6 3 0 3
haar_y3
-0.013913 0 -1
-0.181658 0.204918 
1
2
3 15 6 9 0 -1
3 18 6 3 0 3
haar_y3
-0.007766 0 -1
-0.455959 0.063577 
1
2
4 14 20 6 0 -1
4 17 20 3 0 2
haar_y2
-0.013209 0 -1
0.266323 -0.177960 
1
3
0 10 6 14 0 -1
0 10 3 7 0 2
3 17 3 7 0 2
haar_x2_y2
0.049053 0 -1
-0.154768 1.106998 
1
2
6 18 18 3 0 -1
6 19 18 1 0 3
haar_y3
0.020264 0 -1
0.068915 0.698675 
1
2
4 12 9 7 0 -1
7 12 3 7 0 3
haar_x3
-0.016828 0 -1
0.276072 -0.251392 
1
2
6 10 18 5 0 -1
12 10 6 5 0 3
haar_x3
-0.169395 0 -1
-3.076753 0.116175 
1
2
0 10 18 5 0 -1
6 10 6 5 0 3
haar_x3
-0.113361 0 -1
-1.463923 -0.051447 
1
2
3 2 18 9 0 -1
9 2 6 9 0 3
haar_x3
-0.077686 0 -1
0.884302 0.043307 
1
3
4 6 10 10 0 -1
4 6 5 5 0 2
9 11 5 5 0 2
haar_x2_y2
-0.015568 0 -1
0.136725 -0.345055 
1
2
20 14 4 9 0 -1
20 14 2 9 0 2
haar_x2
-0.066019 0 -1
-1.030011 0.116014 
1
2
0 14 4 9 0 -1
2 14 2 9 0 2
haar_x2
0.008370 0 -1
0.076429 -0.440025 
1
3
11 1 4 20 0 -1
13 1 2 10 0 2
11 11 2 10 0 2
haar_x2_y2
0.035403 0 -1
0.119795 -0.726683 
1
2
6 21 12 3 0 -1
12 21 6 3 0 2
haar_x2
-0.039051 0 -1
0.673753 -0.181960 
1
3
11 1 4 20 0 -1
13 1 2 10 0 2
11 11 2 10 0 2
haar_x2_y2
-0.009790 0 -1
0.212646 0.036756 
1
3
1 16 10 8 0 -1
1 16 5 4 0 2
6 20 5 4 0 2
haar_x2_y2
-0.023047 0 -1
0.447422 -0.209867 
1
3
11 1 4 20 0 -1
13 1 2 10 0 2
11 11 2 10 0 2
haar_x2_y2
0.003117 0 -1
0.037544 0.278082 
1
2
1 0 3 19 0 -1
2 0 1 19 0 3
haar_x3
0.013136 0 -1
-0.198424 0.543357 
1
3
11 1 4 20 0 -1
13 1 2 10 0 2
11 11 2 10 0 2
haar_x2_y2
0.014782 0 -1
0.135306 -0.111536 
1
2
0 1 6 9 0 -1
2 1 2 9 0 3
haar_x3
-0.060139 0 -1
0.840393 -0.167116 
1
2
3 7 19 4 0 -1
3 9 19 2 0 2
haar_y2
0.051999 0 -1
0.173720 -0.785476 
1
2
7 14 9 6 0 -1
7 16 9 2 0 3
haar_y3
0.024792 0 -1
-0.177392 0.667526 
1
2
17 1 7 6 0 -1
17 4 7 3 0 2
haar_y2
-0.012015 0 -1
-0.142637 0.160705 
1
2
5 0 14 8 0 -1
5 4 14 4 0 2
haar_y2
-0.098656 0 -1
1.042977 -0.157702 
1
2
16 1 8 6 0 -1
16 4 8 3 0 2
haar_y2
0.117583 0 -1
0.109557 -4.492038 
1
2
0 1 8 6 0 -1
0 4 8 3 0 2
haar_y2
-0.018923 0 -1
-0.785434 0.012984 
1
3
6 0 18 4 0 -1
15 0 9 2 0 2
6 2 9 2 0 2
haar_x2_y2
-0.028391 0 -1
-0.605699 0.129035 
1
2
0 14 9 6 0 -1
0 16 9 2 0 3
haar_y3
0.013183 0 -1
-0.014416 -0.732105 
1
2
3 7 18 8 0 -1
9 7 6 8 0 3
haar_x3
-0.116530 0 -1
-2.044247 0.140531 
1
2
2 11 6 9 0 -1
4 11 2 9 0 3
haar_x3
-0.003888 0 -1
-0.418616 0.078705 
1
2
10 5 6 9 0 -1
12 5 2 9 0 3
haar_x3
0.031229 0 -1
0.024633 0.418704 
1
3
10 6 4 18 0 -1
10 6 2 9 0 2
12 15 2 9 0 2
haar_x2_y2
0.025199 0 -1
-0.175578 0.647106 
1
3
11 1 4 20 0 -1
13 1 2 10 0 2
11 11 2 10 0 2
haar_x2_y2
-0.028124 0 -1
-0.220056 0.141210 
1
3
9 1 4 20 0 -1
9 1 2 10 0 2
11 11 2 10 0 2
haar_x2_y2
0.036499 0 -1
-0.068427 -2.341085 
1
3
5 9 18 6 0 -1
14 9 9 3 0 2
5 12 9 3 0 2
haar_x2_y2
-0.072293 0 -1
1.289875 0.084875 
1
2
6 4 6 9 0 -1
8 4 2 9 0 3
haar_x3
-0.041671 0 -1
-1.163097 -0.053753 
1
2
10 16 8 6 0 -1
10 16 4 6 0 2
haar_x2
0.047703 0 -1
0.070101 0.736765 
1
3
0 0 18 8 0 -1
0 0 9 4 0 2
9 4 9 4 0 2
haar_x2_y2
0.065793 0 -1
-0.177553 0.697805 
1
3
6 5 14 12 0 -1
13 5 7 6 0 2
6 11 7 6 0 2
haar_x2_y2
0.013905 0 -1
0.219368 -0.203908 
1
2
4 3 15 7 0 -1
9 3 5 7 0 3
haar_x3
-0.027731 0 -1
0.618679 -0.178041 
1
2
14 12 10 6 0 -1
14 14 10 2 0 3
haar_y3
-0.015880 0 -1
-0.464841 0.188286 
1
2
0 11 4 10 0 -1
0 16 4 5 0 2
haar_y2
0.074128 0 -1
-0.128581 3.279248 
1
2
1 10 22 3 0 -1
1 11 22 1 0 3
haar_y3
-0.000890 0 -1
-0.301176 0.238188 
1
2
8 9 6 10 0 -1
10 9 2 10 0 3
haar_x3
0.017965 0 -1
-0.222850 0.299540 
1
3
13 2 6 12 0 -1
16 2 3 6 0 2
13 8 3 6 0 2
haar_x2_y2
-0.002538 0 -1
0.250644 -0.136656 
1
3
10 6 4 18 0 -1
10 6 2 9 0 2
12 15 2 9 0 2
haar_x2_y2
-0.009068 0 -1
0.290175 -0.289297 
1
3
7 8 10 16 0 -1
12 8 5 8 0 2
7 16 5 8 0 2
haar_x2_y2
0.049170 0 -1
0.191564 -0.683287 
1
3
8 1 8 12 0 -1
8 1 4 6 0 2
12 7 4 6 0 2
haar_x2_y2
-0.030681 0 -1
-0.756770 -0.013280 
1
3
7 1 12 14 0 -1
13 1 6 7 0 2
7 8 6 7 0 2
haar_x2_y2
0.100174 0 -1
0.084454 1.088871 
1
2
2 14 12 6 0 -1
2 16 12 2 0 3
haar_y3
0.003195 0 -1
-0.269194 0.195379 
1
2
11 16 6 6 0 -1
11 19 6 3 0 2
haar_y2
0.035503 0 -1
0.136323 -0.569172 
1
2
7 16 6 6 0 -1
7 19 6 3 0 2
haar_y2
0.000459 0 -1
-0.404440 0.140748 
1
2
13 4 4 10 0 -1
13 4 2 10 0 2
haar_x2
0.025259 0 -1
0.162432 -0.557418 
1
2
0 19 19 3 0 -1
0 20 19 1 0 3
haar_y3
-0.005155 0 -1
0.311326 -0.227561 
1
2
12 8 6 8 0 -1
12 12 6 4 0 2
haar_y2
0.001587 0 -1
-0.268677 0.195654 
1
2
8 1 8 22 0 -1
8 12 8 11 0 2
haar_y2
-0.016205 0 -1
0.154865 -0.340578 
1
2
12 8 6 8 0 -1
12 12 6 4 0 2
haar_y2
-0.029624 0 -1
1.146680 0.090558 
1
2
6 8 6 8 0 -1
6 12 6 4 0 2
haar_y2
-0.001593 0 -1
-0.712575 -0.000704 
1
2
14 5 6 9 0 -1
14 8 6 3 0 3
haar_y3
-0.054019 0 -1
0.415375 0.027246 
1
2
0 6 24 4 0 -1
0 8 24 2 0 2
haar_y2
-0.066211 0 -1
-1.334009 -0.047353 
1
2
14 12 10 6 0 -1
14 14 10 2 0 3
haar_y3
0.027941 0 -1
0.144463 -0.515184 
1
2
0 12 10 6 0 -1
0 14 10 2 0 3
haar_y3
0.028957 0 -1
-0.049966 -1.192904 
1
2
4 6 19 3 0 -1
4 7 19 1 0 3
haar_y3
-0.020425 0 -1
0.638813 0.038141 
1
2
1 6 19 3 0 -1
1 7 19 1 0 3
haar_y3
0.012417 0 -1
-0.215470 0.494777 
-3.277298