adaboostcarthaarclassifier.txt

人脸检测领域经典的Haar人脸检测。使用OpenCV.

197
1
2
0 1 21 3 0 -1
7 1 7 3 0 3
haar_x3
0.054709 0 -1
-0.541443 0.610430 
1
2
6 4 13 9 0 -1
6 7 13 3 0 3
haar_y3
-0.108388 0 -1
0.717399 -0.411961 
1
2
6 5 12 5 0 -1
10 5 4 5 0 3
haar_x3
0.022997 0 -1
-0.582698 0.296456 
1
2
10 10 10 6 0 -1
10 12 10 2 0 3
haar_y3
0.002754 0 -1
-0.742439 0.141833 
1
2
6 12 5 8 0 -1
6 16 5 4 0 2
haar_y2
-0.002152 0 -1
0.178799 -0.685486 
1
2
13 0 6 9 0 -1
15 0 2 9 0 3
haar_x3
-0.022559 0 -1
-1.077555 0.123890 
1
2
2 10 18 6 0 -1
8 10 6 6 0 3
haar_x3
0.083025 0 -1
0.024501 -1.025188 
1
2
11 2 9 4 0 -1
11 4 9 2 0 2
haar_y2
-0.006674 0 -1
-0.452831 0.212302 
1
2
1 20 21 3 0 -1
8 20 7 3 0 3
haar_x3
0.076485 0 -1
-0.269727 0.485802 
1
2
1 10 22 2 0 -1
1 11 22 1 0 2
haar_y2
0.005491 0 -1
-0.488712 0.316164 
1
2
0 17 18 3 0 -1
0 18 18 1 0 3
haar_y3
-0.010415 0 -1
0.415129 -0.300448 
1
2
13 0 6 9 0 -1
15 0 2 9 0 3
haar_x3
0.027608 0 -1
0.162038 -0.998685 
1
2
5 0 6 9 0 -1
7 0 2 9 0 3
haar_x3
-0.023272 0 -1
-1.102440 0.021125 
1
2
18 2 6 20 0 -1
20 2 2 20 0 3
haar_x3
-0.055620 0 -1
0.650331 -0.027938 
1
2
0 2 6 20 0 -1
2 2 2 20 0 3
haar_x3
-0.040632 0 -1
0.421173 -0.267638 
1
3
11 7 6 14 0 -1
14 7 3 7 0 2
11 14 3 7 0 2
haar_x2_y2
-0.007356 0 -1
0.352778 -0.378540 
1
2
0 1 4 9 0 -1
2 1 2 9 0 2
haar_x2
0.017007 0 -1
-0.291895 0.410538 
1
2
12 14 9 4 0 -1
12 16 9 2 0 2
haar_y2
-0.037034 0 -1
-1.321631 0.129665 
1
2
1 13 9 4 0 -1
1 15 9 2 0 2
haar_y2
-0.019633 0 -1
-0.877023 0.001080 
1
2
7 6 15 6 0 -1
7 8 15 2 0 3
haar_y3
-0.023547 0 -1
0.261061 -0.214814 
1
2
8 2 3 18 0 -1
8 8 3 6 0 3
haar_y3
-0.043353 0 -1
-0.990897 -0.009956 
1
3
6 6 12 6 0 -1
12 6 6 3 0 2
6 9 6 3 0 2
haar_x2_y2
-0.022184 0 -1
0.634544 -0.056547 
1
3
2 19 20 4 0 -1
2 19 10 2 0 2
12 21 10 2 0 2
haar_x2_y2
0.016531 0 -1
0.024665 -0.733268 
1
2
14 15 6 9 0 -1
14 18 6 3 0 3
haar_y3
-0.032744 0 -1
-0.562972 0.166403 
1
3
3 5 18 14 0 -1
3 5 9 7 0 2
12 12 9 7 0 2
haar_x2_y2
0.071416 0 -1
-0.000300 -0.932864 
1
3
15 6 4 18 0 -1
17 6 2 9 0 2
15 15 2 9 0 2
haar_x2_y2
0.000810 0 -1
-0.095380 0.251847 
1
3
5 6 4 18 0 -1
5 6 2 9 0 2
7 15 2 9 0 2
haar_x2_y2
-0.008409 0 -1
-0.654968 0.067301 
1
2
11 0 6 9 0 -1
13 0 2 9 0 3
haar_x3
-0.017254 0 -1
-0.464930 0.160709 
1
2
7 0 6 9 0 -1
9 0 2 9 0 3
haar_x3
-0.018641 0 -1
-1.059401 -0.019617 
1
2
11 5 6 9 0 -1
13 5 2 9 0 3
haar_x3
-0.009198 0 -1
0.507162 -0.153392 
1
2
9 5 6 6 0 -1
12 5 3 6 0 2
haar_x2
0.018538 0 -1
-0.304982 0.735062 
1
3
4 1 16 6 0 -1
12 1 8 3 0 2
4 4 8 3 0 2
haar_x2_y2
-0.050335 0 -1
-1.114048 0.180001 
1
2
9 13 6 11 0 -1
11 13 2 11 0 3
haar_x3
-0.023529 0 -1
-0.869079 -0.012460 
1
3
17 1 6 12 0 -1
20 1 3 6 0 2
17 7 3 6 0 2
haar_x2_y2
-0.027100 0 -1
0.659429 -0.035324 
1
2
1 17 18 3 0 -1
1 18 18 1 0 3
haar_y3
0.006588 0 -1
-0.229534 0.424251 
1
2
7 13 10 8 0 -1
7 17 10 4 0 2
haar_y2
0.023360 0 -1
0.183562 -0.985873 
1
2
6 18 10 6 0 -1
6 20 10 2 0 3
haar_y3
0.012947 0 -1
-0.331474 0.213232 
1
2
9 14 9 4 0 -1
9 16 9 2 0 2
haar_y2
-0.006656 0 -1
-0.119514 0.297528 
1
3
1 1 6 12 0 -1
1 1 3 6 0 2
4 7 3 6 0 2
haar_x2_y2
-0.022571 0 -1
0.384994 -0.244345 
1
2
19 4 5 12 0 -1
19 8 5 4 0 3
haar_y3
-0.063814 0 -1
-0.893835 0.142175 
1
2
0 0 8 8 0 -1
4 0 4 8 0 2
haar_x2
-0.049945 0 -1
0.538644 -0.204853 
1
2
3 5 19 3 0 -1
3 6 19 1 0 3
haar_y3
0.006832 0 -1
-0.056679 0.399710 
1
3
1 5 12 6 0 -1
1 5 6 3 0 2
7 8 6 3 0 2
haar_x2_y2
-0.055836 0 -1
-1.523947 -0.051183 
1
2
2 1 21 8 0 -1
9 1 7 8 0 3
haar_x3
0.319570 0 -1
0.074574 1.244780 
1
2
4 1 16 8 0 -1
4 5 16 4 0 2
haar_y2
0.080956 0 -1
-0.196655 0.598897 
1
2
6 0 18 3 0 -1
6 1 18 1 0 3
haar_y3
-0.014912 0 -1
-0.640206 0.158076 
1
2
4 4 10 14 0 -1
4 11 10 7 0 2
haar_y2
0.046709 0 -1
0.085239 -0.454872 
1
2
15 6 4 10 0 -1
15 11 4 5 0 2
haar_y2
0.006054 0 -1
-0.431840 0.224526 
1
2
3 18 18 3 0 -1
9 18 6 3 0 3
haar_x3
-0.034376 0 -1
0.402025 -0.239036 
1
2
8 18 12 6 0 -1
12 18 4 6 0 3
haar_x3
-0.034924 0 -1
0.528701 0.039709 
1
2
3 15 6 9 0 -1
6 15 3 9 0 2
haar_x2
0.003003 0 -1
-0.387543 0.141926 
1
2
15 7 6 8 0 -1
15 11 6 4 0 2
haar_y2
-0.014133 0 -1
0.875284 0.085508 
1
2
3 7 6 8 0 -1
3 11 6 4 0 2
haar_y2
-0.006794 0 -1
-1.164922 -0.033943 
1
3
5 9 18 6 0 -1
14 9 9 3 0 2
5 12 9 3 0 2
haar_x2_y2
-0.052886 0 -1
1.093068 0.051187 
1
2
1 13 12 6 0 -1
1 15 12 2 0 3
haar_y3
-0.002108 0 -1
0.136962 -0.338500 
1
2
14 15 10 6 0 -1
14 17 10 2 0 3
haar_y3
0.018353 0 -1
0.136616 -0.407778 
1
2
0 15 10 6 0 -1
0 17 10 2 0 3
haar_y3
0.012672 0 -1
-0.014936 -0.817075 
1
2
15 13 6 9 0 -1
15 16 6 3 0 3
haar_y3
0.012925 0 -1
0.176251 -0.324917 
1
2
3 13 6 9 0 -1
3 16 6 3 0 3
haar_y3
-0.017921 0 -1
-0.527454 0.044443 
1
2
9 5 8 8 0 -1
9 5 4 8 0 2
haar_x2
0.001916 0 -1
-0.109786 0.220675 
1
3
1 18 12 6 0 -1
1 18 6 3 0 2
7 21 6 3 0 2
haar_x2_y2
-0.014698 0 -1
0.390678 -0.222250 
1
2
13 19 10 4 0 -1
13 21 10 2 0 2
haar_y2
-0.014973 0 -1
-0.254509 0.177900 
1
2
1 19 10 4 0 -1
1 21 10 2 0 2
haar_y2
0.014637 0 -1
-0.025125 -0.871213 
1
2
6 19 18 3 0 -1
6 20 18 1 0 3
haar_y3
-0.010974 0 -1
0.790828 0.020121 
1
2
8 14 4 10 0 -1
8 19 4 5 0 2
haar_y2
-0.009160 0 -1
-0.479069 0.052232 
1
2
0 0 24 6 0 -1
0 2 24 2 0 3
haar_y3
0.004618 0 -1
-0.172446 0.345278 
1
2
0 1 6 9 0 -1
0 4 6 3 0 3
haar_y3
0.023477 0 -1
0.003776 -0.653337 
1
3
4 9 20 6 0 -1
14 9 10 3 0 2
4 12 10 3 0 2
haar_x2_y2
0.031767 0 -1
0.016364 0.587237 
1
2
1 15 19 8 0 -1
1 19 19 4 0 2
haar_y2
-0.018420 0 -1
0.199939 -0.320565 
1
2
14 0 10 6 0 -1
14 2 10 2 0 3
haar_y3
0.019544 0 -1
0.184502 -0.237936 
1
2
1 10 21 14 0 -1
8 10 7 14 0 3
haar_x3
0.411595 0 -1
-0.060382 -1.607212 
1
2
10 10 8 8 0 -1
10 10 4 8 0 2
haar_x2
-0.041596 0 -1
-0.327562 0.150580 
1
2
6 8 10 4 0 -1
11 8 5 4 0 2
haar_x2
-0.010336 0 -1
-0.623944 0.013112 
1
2
10 5 4 9 0 -1
10 5 2 9 0 2
haar_x2
0.012393 0 -1
-0.033115 0.555799 
1
2
7 5 6 10 0 -1
9 5 2 10 0 3
haar_x3
-0.008727 0 -1
0.198832 -0.376356 
1
2
14 4 4 13 0 -1
14 4 2 13 0 2
haar_x2
0.016295 0 -1
0.203730 -0.428008 
1
2
6 4 4 13 0 -1
8 4 2 13 0 2
haar_x2
-0.010484 0 -1
-0.568470 0.044199 
1
2
8 7 9 6 0 -1
11 7 3 6 0 3
haar_x3
-0.012432 0 -1
0.746419 0.043679 
1
3
3 6 16 6 0 -1
3 6 8 3 0 2
11 9 8 3 0 2
haar_x2_y2
-0.050375 0 -1
0.850901 -0.177738 
1
3
5 4 16 14 0 -1
13 4 8 7 0 2
5 11 8 7 0 2
haar_x2_y2
0.049548 0 -1
0.167849 -0.298775 
1
3
0 0 24 4 0 -1
0 0 12 2 0 2
12 2 12 2 0 2
haar_x2_y2
-0.041085 0 -1
-1.330292 -0.049182 
1
2
9 1 9 6 0 -1
12 1 3 6 0 3
haar_x3
0.001007 0 -1
-0.060539 0.184832 
1
2
4 1 14 4 0 -1
11 1 7 4 0 2
haar_x2
-0.050143 0 -1
0.764477 -0.183570 
1
2
10 14 7 9 0 -1
10 17 7 3 0 3
haar_y3
-0.008788 0 -1
0.226560 -0.063157 
1
3
8 3 8 10 0 -1
8 3 4 5 0 2
12 8 4 5 0 2
haar_x2_y2
-0.050171 0 -1
-1.589907 -0.061255 
1
2
7 3 12 5 0 -1
11 3 4 5 0 3
haar_x3
0.102161 0 -1
0.120718 -1.412011 
1
2
8 2 4 13 0 -1
10 2 2 13 0 2
haar_x2
-0.014373 0 -1
-1.311697 -0.051936 
1
2
11 2 3 19 0 -1
12 2 1 19 0 3
haar_x3
0.010282 0 -1
-0.002164 0.442472 
1
2
7 7 9 6 0 -1
10 7 3 6 0 3
haar_x3
-0.011814 0 -1
0.653781 -0.187237 
1
2
4 22 20 2 0 -1
4 22 10 2 0 2
haar_x2
0.072115 0 -1
0.071847 0.814963 
1
3
0 16 24 4 0 -1
0 16 12 2 0 2
12 18 12 2 0 2
haar_x2_y2
-0.019002 0 -1
-0.674272 -0.000432 
1
2
7 3 12 5 0 -1
11 3 4 5 0 3
haar_x3
-0.004699 0 -1
0.333115 0.055794 
1
3
1 10 8 14 0 -1
1 10 4 7 0 2
5 17 4 7 0 2
haar_x2_y2
-0.058157 0 -1
0.455723 -0.203051 
1
2
11 16 6 6 0 -1
11 19 6 3 0 2
haar_y2
0.001136 0 -1
-0.044687 0.226819 
1
3
6 0 10 24 0 -1
6 0 5 12 0 2
11 12 5 12 0 2
haar_x2_y2
-0.049415 0 -1
0.266946 -0.261170 
1
3
7 5 14 14 0 -1
14 5 7 7 0 2
7 12 7 7 0 2
haar_x2_y2
-0.119138 0 -1
-0.830180 0.132485 
1
3
7 8 10 8 0 -1
7 8 5 4 0 2
12 12 5 4 0 2
haar_x2_y2
-0.018304 0 -1
-0.674992 0.017092 
1
2
9 1 9 6 0 -1
12 1 3 6 0 3
haar_x3
-0.007920 0 -1
-0.072287 0.144258 
1
2
0 6 24 3 0 -1
12 6 12 3 0 2
haar_x2
0.051926 0 -1
0.030922 -0.558606