adaboostcarthaarclassifier.txt

人脸检测领域经典的Haar人脸检测。使用OpenCV.

199
1
2
4 7 5 12 0 -1
4 11 5 4 0 3
haar_y3
0.021662 0 -1
-0.898689 0.294363 
1
2
0 1 24 3 0 -1
8 1 8 3 0 3
haar_x3
0.100445 0 -1
-0.376592 0.608910 
1
2
6 8 12 4 0 -1
6 10 12 2 0 2
haar_y2
0.026004 0 -1
-0.381285 0.392174 
1
2
19 3 4 10 0 -1
19 3 2 10 0 2
haar_x2
0.028441 0 -1
-0.181823 0.589272 
1
2
0 6 9 6 0 -1
3 6 3 6 0 3
haar_x3
0.038612 0 -1
-0.223996 0.637800 
1
2
18 0 6 22 0 -1
20 0 2 22 0 3
haar_x3
-0.046595 0 -1
0.708122 -0.146662 
1
2
0 0 6 22 0 -1
2 0 2 22 0 3
haar_x3
-0.042792 0 -1
0.476804 -0.292332 
1
2
5 15 19 3 0 -1
5 16 19 1 0 3
haar_y3
0.003796 0 -1
-0.185103 0.526267 
1
2
10 7 4 15 0 -1
10 12 4 5 0 3
haar_y3
0.042349 0 -1
0.039245 -0.891977 
1
2
9 6 6 9 0 -1
11 6 2 9 0 3
haar_x3
0.019599 0 -1
-0.233584 0.441465 
1
2
0 21 18 3 0 -1
0 22 18 1 0 3
haar_y3
0.000874 0 -1
-0.460636 0.176896 
1
2
7 3 10 15 0 -1
7 8 10 5 0 3
haar_y3
-0.004363 0 -1
0.334932 -0.298934 
1
2
1 7 18 3 0 -1
1 8 18 1 0 3
haar_y3
0.016973 0 -1
-0.164087 1.599368 
1
2
8 2 9 6 0 -1
11 2 3 6 0 3
haar_x3
0.036064 0 -1
0.226017 -0.531861 
1
2
0 10 24 14 0 -1
0 17 24 7 0 2
haar_y2
-0.070865 0 -1
0.152205 -0.419146 
1
3
13 9 8 10 0 -1
17 9 4 5 0 2
13 14 4 5 0 2
haar_x2_y2
-0.063076 0 -1
-1.487402 0.129537 
1
2
10 5 4 9 0 -1
12 5 2 9 0 2
haar_x2
0.029670 0 -1
-0.191459 0.981849 
1
3
13 9 8 10 0 -1
17 9 4 5 0 2
13 14 4 5 0 2
haar_x2_y2
0.037874 0 -1
0.134595 -0.563163 
1
3
7 11 10 10 0 -1
7 11 5 5 0 2
12 16 5 5 0 2
haar_x2_y2
-0.033289 0 -1
-1.082803 -0.011504 
1
3
4 13 18 4 0 -1
13 13 9 2 0 2
4 15 9 2 0 2
haar_x2_y2
-0.031609 0 -1
-0.592245 0.133948 
1
2
0 0 19 2 0 -1
0 1 19 1 0 2
haar_y2
0.001074 0 -1
-0.491858 0.094446 
1
2
0 18 24 6 0 -1
8 18 8 6 0 3
haar_x3
-0.071556 0 -1
0.597102 -0.039553 
1
2
6 4 8 16 0 -1
6 12 8 8 0 2
haar_y2
-0.081170 0 -1
-1.181782 -0.028254 
1
2
7 8 10 4 0 -1
7 10 10 2 0 2
haar_y2
0.004486 0 -1
-0.610281 0.226191 
1
2
0 3 6 9 0 -1
0 6 6 3 0 3
haar_y3
-0.042176 0 -1
-1.143562 -0.029002 
1
2
13 15 7 9 0 -1
13 18 7 3 0 3
haar_y3
-0.065640 0 -1
-1.647028 0.128103 
1
3
3 18 12 6 0 -1
3 18 6 3 0 2
9 21 6 3 0 2
haar_x2_y2
0.018189 0 -1
-0.311494 0.257396 
1
2
12 14 6 9 0 -1
12 17 6 3 0 3
haar_y3
-0.051520 0 -1
-0.692069 0.152708 
1
2
2 15 15 8 0 -1
2 19 15 4 0 2
haar_y2
-0.047151 0 -1
-0.718683 0.002688 
1
2
9 6 6 16 0 -1
9 14 6 8 0 2
haar_y2
0.017489 0 -1
0.223712 -0.553818 
1
2
6 6 7 12 0 -1
6 10 7 4 0 3
haar_y3
-0.025264 0 -1
1.031982 -0.174965 
1
2
14 6 6 9 0 -1
14 9 6 3 0 3
haar_y3
-0.040745 0 -1
0.449616 0.039349 
1
2
5 14 6 9 0 -1
5 17 6 3 0 3
haar_y3
-0.037667 0 -1
-0.854757 -0.012464 
1
2
10 8 6 9 0 -1
12 8 2 9 0 3
haar_x3
-0.013411 0 -1
0.578456 -0.017468 
1
3
6 6 4 18 0 -1
6 6 2 9 0 2
8 15 2 9 0 2
haar_x2_y2
-0.000079 0 -1
-0.377492 0.139618 
1
3
14 9 6 12 0 -1
17 9 3 6 0 2
14 15 3 6 0 2
haar_x2_y2
-0.011415 0 -1
-0.261866 0.237125 
1
3
4 9 6 12 0 -1
4 9 3 6 0 2
7 15 3 6 0 2
haar_x2_y2
0.037200 0 -1
-0.028626 -1.294524 
1
2
14 15 9 6 0 -1
14 17 9 2 0 3
haar_y3
0.003405 0 -1
0.205314 -0.187475 
1
3
0 20 18 4 0 -1
0 20 9 2 0 2
9 22 9 2 0 2
haar_x2_y2
-0.022483 0 -1
0.670272 -0.195940 
1
2
13 18 9 6 0 -1
13 20 9 2 0 3
haar_y3
0.023275 0 -1
0.174054 -0.327463 
1
2
2 18 9 6 0 -1
2 20 9 2 0 3
haar_y3
-0.013917 0 -1
-0.839543 -0.006376 
1
2
6 16 18 3 0 -1
6 17 18 1 0 3
haar_y3
0.007543 0 -1
-0.034195 0.589982 
1
2
0 16 18 3 0 -1
0 17 18 1 0 3
haar_y3
-0.011539 0 -1
0.421428 -0.235105 
1
3
19 2 4 22 0 -1
21 2 2 11 0 2
19 13 2 11 0 2
haar_x2_y2
0.052502 0 -1
0.069304 0.732265 
1
3
1 2 4 22 0 -1
1 2 2 11 0 2
3 13 2 11 0 2
haar_x2_y2
0.052716 0 -1
-0.156881 1.090729 
1
2
15 0 2 24 0 -1
15 0 1 24 0 2
haar_x2
-0.011726 0 -1
-0.709343 0.168288 
1
2
3 20 16 4 0 -1
11 20 8 4 0 2
haar_x2
0.095946 0 -1
-0.161929 1.007252 
1
3
11 6 4 18 0 -1
13 6 2 9 0 2
11 15 2 9 0 2
haar_x2_y2
-0.015872 0 -1
0.390084 -0.053777 
1
3
7 9 10 14 0 -1
7 9 5 7 0 2
12 16 5 7 0 2
haar_x2_y2
0.034818 0 -1
0.017180 -0.939418 
1
2
14 6 6 9 0 -1
14 9 6 3 0 3
haar_y3
0.034792 0 -1
0.050463 0.544657 
1
2
3 6 7 9 0 -1
3 9 7 3 0 3
haar_y3
0.016284 0 -1
-0.269813 0.403653 
1
3
20 4 4 20 0 -1
22 4 2 10 0 2
20 14 2 10 0 2
haar_x2_y2
-0.044319 0 -1
0.844000 0.032883 
1
2
7 6 6 9 0 -1
7 9 6 3 0 3
haar_y3
-0.005569 0 -1
0.153094 -0.349598 
1
3
7 0 10 14 0 -1
12 0 5 7 0 2
7 7 5 7 0 2
haar_x2_y2
-0.065842 0 -1
-0.927112 0.168010 
1
2
2 1 18 6 0 -1
11 1 9 6 0 2
haar_x2
-0.073337 0 -1
0.516145 -0.202360 
1
2
15 0 2 24 0 -1
15 0 1 24 0 2
haar_x2
0.016450 0 -1
0.139506 -0.493013 
1
2
7 0 2 24 0 -1
8 0 1 24 0 2
haar_x2
-0.009263 0 -1
-0.901020 -0.016116 
1
2
13 12 6 7 0 -1
13 12 3 7 0 2
haar_x2
0.005914 0 -1
0.198582 -0.167313 
1
2
5 12 6 7 0 -1
8 12 3 7 0 2
haar_x2
-0.000847 0 -1
0.094005 -0.415709 
1
2
3 5 18 19 0 -1
9 5 6 19 0 3
haar_x3
0.205329 0 -1
-0.060022 0.709936 
1
2
5 6 9 6 0 -1
8 6 3 6 0 3
haar_x3
-0.016883 0 -1
0.243922 -0.305518 
1
2
9 5 9 6 0 -1
12 5 3 6 0 3
haar_x3
-0.019111 0 -1
0.612299 0.024253 
1
3
3 16 10 8 0 -1
3 16 5 4 0 2
8 20 5 4 0 2
haar_x2_y2
-0.025963 0 -1
0.907650 -0.167221 
1
2
19 8 5 15 0 -1
19 13 5 5 0 3
haar_y3
-0.021762 0 -1
-0.313847 0.201346 
1
2
0 8 5 15 0 -1
0 13 5 5 0 3
haar_y3
-0.024120 0 -1
-0.665884 0.007456 
1
3
20 4 4 20 0 -1
22 4 2 10 0 2
20 14 2 10 0 2
haar_x2_y2
0.047130 0 -1
0.059534 0.878045 
1
3
0 4 4 20 0 -1
0 4 2 10 0 2
2 14 2 10 0 2
haar_x2_y2
-0.045985 0 -1
0.800680 -0.172523 
1
2
7 7 10 4 0 -1
7 7 5 4 0 2
haar_x2
0.026508 0 -1
0.187741 -0.608506 
1
2
4 19 14 4 0 -1
11 19 7 4 0 2
haar_x2
-0.048615 0 -1
0.586441 -0.194277 
1
2
10 11 12 3 0 -1
10 11 6 3 0 2
haar_x2
-0.018562 0 -1
-0.255879 0.163262 
1
2
0 1 24 3 0 -1
0 2 24 1 0 3
haar_y3
0.012678 0 -1
-0.014228 -0.767381 
1
3
7 2 14 20 0 -1
14 2 7 10 0 2
7 12 7 10 0 2
haar_x2_y2
-0.001192 0 -1
0.204950 -0.114043 
1
2
0 13 6 9 0 -1
2 13 2 9 0 3
haar_x3
-0.049089 0 -1
-1.074085 -0.038941 
1
2
13 0 4 19 0 -1
13 0 2 19 0 2
haar_x2
-0.017437 0 -1
-0.579738 0.185845 
1
2
1 11 14 3 0 -1
8 11 7 3 0 2
haar_x2
-0.014770 0 -1
-0.661503 0.005312 
1
3
7 1 16 20 0 -1
15 1 8 10 0 2
7 11 8 10 0 2
haar_x2_y2
-0.229052 0 -1
-0.483051 0.123264 
1
2
0 10 21 9 0 -1
7 10 7 9 0 3
haar_x3
-0.127071 0 -1
0.574526 -0.194204 
1
2
6 19 15 5 0 -1
11 19 5 5 0 3
haar_x3
0.010339 0 -1
-0.054642 0.245018 
1
2
8 10 6 6 0 -1
11 10 3 6 0 2
haar_x2
0.006901 0 -1
0.121806 -0.387974 
1
3
7 1 16 20 0 -1
15 1 8 10 0 2
7 11 8 10 0 2
haar_x2_y2
0.290254 0 -1
0.109662 -30.000000 
1
3
1 1 16 20 0 -1
1 1 8 10 0 2
9 11 8 10 0 2
haar_x2_y2
-0.238050 0 -1
-1.735268 -0.063810 
1
2
16 4 3 12 0 -1
16 10 3 6 0 2
haar_y2
0.062481 0 -1
0.135230 -0.703011 
1
2
5 4 3 12 0 -1
5 10 3 6 0 2
haar_y2
0.004711 0 -1
-0.469841 0.060342 
1
3
7 6 10 8 0 -1
12 6 5 4 0 2
7 10 5 4 0 2
haar_x2_y2
-0.027816 0 -1
0.698076 0.001372 
1
2
4 9 6 6 0 -1
4 12 6 3 0 2
haar_y2
-0.017020 0 -1
1.687044 -0.143148 
1
2
6 5 12 4 0 -1
6 7 12 2 0 2
haar_y2
-0.049755 0 -1
0.794977 0.000772 
1
2
9 2 5 15 0 -1
9 7 5 5 0 3
haar_y3
-0.074733 0 -1
-1.013236 -0.019389 
1
2
15 0 9 6 0 -1
15 2 9 2 0 3
haar_y3
0.032009 0 -1
0.144121 -0.421391 
1
2
6 0 11 10 0 -1
6 5 11 5 0 2
haar_y2
-0.094464 0 -1
0.506826 -0.204789 
1
2
12 7 4 12 0 -1
12 13 4 6 0 2
haar_y2
-0.015427 0 -1
-0.158113 0.178069 
1
2
7 2 9 4 0 -1
7 4 9 2 0 2
haar_y2
-0.004054 0 -1
-0.543667 0.031235 
1
2
6 0 13 6 0 -1
6 2 13 2 0 3
haar_y3
0.003008 0 -1
-0.173768 0.304417 
1
3
10 6 4 18 0 -1
10 6 2 9 0 2
12 15 2 9 0 2
haar_x2_y2
-0.010092 0 -1
0.251038 -0.262241 
1
2
10 8 6 9 0 -1
12 8 2 9 0 3
haar_x3
-0.038818 0 -1
0.932267 0.072660 
1
2
3 18 10 6 0 -1
3 20 10 2 0 3
haar_y3
0.034652 0 -1
-0.033935 -0.857079 
1
2
4 14 20 3 0 -1
4 15 20 1 0 3
haar_y3
-0.004673 0 -1
0.349693 -0.048518 
1
2
2 15 9 6 0 -1
2 17 9 2 0 3
haar_y3
0.000685 0 -1
0.066573 -0.449738 
1
2
13 0 4 19 0 -1
13 0 2 19 0 2
haar_x2
0.035317 0 -1
0.142758 -0.467264 
1
2
7 0 4 19 0 -1
9 0 2 19 0 2
haar_x2
-0.023570 0 -1
-1.028608 -0.045288 
1
2
1 4 22 2 0 -1
1 5 22 1 0 2