cvhaarfacecascade.cpp.svn-base

来自「非结构化路识别」· SVN-BASE 代码 · 共 752 行 · 第 1/5 页

" -0.578495 0.331544  1 2 0 6 6 7 0 -1 3 6 3 7 0 2 haar_x2 0.022548 0 -1 -0.383251 0.524622 \n"
" 1 2 18 0 6 6 0 -1 18 0 3 6 0 2 haar_x2 -0.037780 0 -1 1.179067 -0.034167  1 2 3 1 18 3 0 -1\n"
" 3 2 18 1 0 3 haar_y3 -0.005380 0 -1 -0.862659 0.118679  1 2 9 6 14 18 0 -1 9 12 14 6 0 3\n"
" haar_y3 -0.023893 0 -1 -0.749506 0.210114  1 2 0 0 6 6 0 -1 3 0 3 6 0 2 haar_x2 -0.026522 0 -1\n"
" 0.921286 -0.282528  1 2 13 11 6 6 0 -1 13 11 3 6 0 2 haar_x2 0.012280 0 -1 0.266628 -0.700136 \n"
" 1 2 0 20 24 3 0 -1 8 20 8 3 0 3 haar_x3 0.096595 0 -1 -0.284540 0.731690  1 2 13 11 6 7 0 -1\n"
" 13 11 3 7 0 2 haar_x2 -0.027415 0 -1 -0.614927 0.155762  1 2 4 12 10 6 0 -1 4 14 10 2 0 3\n"
" haar_y3 -0.015767 0 -1 0.575512 -0.343622  1 2 13 11 6 6 0 -1 13 11 3 6 0 2 haar_x2\n"
" -0.002110 0 -1 0.325997 -0.130083  1 2 5 11 6 7 0 -1 8 11 3 7 0 2 haar_x2 0.012007 0 -1\n"
" 0.089323 -0.960256  1 2 7 4 11 12 0 -1 7 8 11 4 0 3 haar_y3 -0.015422 0 -1 0.344495 -0.467120 \n"
" 1 2 6 15 10 4 0 -1 6 17 10 2 0 2 haar_y2 -0.004158 0 -1 0.236963 -0.525633  1 2 14 0 6 9 0 -1\n"
" 16 0 2 9 0 3 haar_x3 -0.021186 0 -1 -0.742677 0.217020  1 2 4 0 6 9 0 -1 6 0 2 9 0 3\n"
" haar_x3 -0.017077 0 -1 -0.904718 0.066012  1 2 11 2 4 15 0 -1 11 7 4 5 0 3 haar_y3\n"
" -0.040850 0 -1 -0.344466 0.215037  1 2 0 0 20 3 0 -1 0 1 20 1 0 3 haar_y3 -0.008193 0 -1\n"
" -0.933886 0.050471  1 2 13 18 10 6 0 -1 13 20 10 2 0 3 haar_y3 -0.019238 0 -1 -0.532037 0.172406 \n"
" 1 2 2 7 6 11 0 -1 5 7 3 11 0 2 haar_x2 -0.044192 0 -1 0.920750 -0.221485  1 2 10 14 10 9 0 -1\n"
" 10 17 10 3 0 3 haar_y3 -0.062392 0 -1 -0.710538 0.183239  1 2 8 2 4 9 0 -1 10 2 2 9 0 2\n"
" haar_x2 -0.001008 0 -1 -0.870631 0.055330  1 2 14 3 10 4 0 -1 14 3 5 4 0 2 haar_x2\n"
" 0.023870 0 -1 -0.228542 0.524156  1 3 6 6 12 6 0 -1 6 6 6 3 0 2 12 9 6 3 0 2 haar_x2_y2\n"
" 0.021391 0 -1 -0.303259 0.558606  1 3 8 8 8 10 0 -1 12 8 4 5 0 2 8 13 4 5 0 2 haar_x2_y2\n"
" 0.020255 0 -1 0.269015 -0.702618  1 2 7 4 4 16 0 -1 7 12 4 8 0 2 haar_y2 -0.028772 0 -1\n"
" -1.183503 0.046512  1 2 8 8 9 4 0 -1 8 10 9 2 0 2 haar_y2 0.003420 0 -1 -0.546521 0.259625 \n"
" 1 2 5 2 14 9 0 -1 5 5 14 3 0 3 haar_y3 0.056983 0 -1 -0.269829 0.581707  1 2 3 16 19 8 0 -1\n"
" 3 20 19 4 0 2 haar_y2 -0.093892 0 -1 -0.910464 0.196777  1 2 0 0 10 8 0 -1 5 0 5 8 0 2\n"
" haar_x2 0.017700 0 -1 -0.440033 0.213495  1 2 5 2 16 18 0 -1 5 2 8 18 0 2 haar_x2\n"
" 0.228442 0 -1 0.023605 0.771716  1 2 0 11 24 11 0 -1 8 11 8 11 0 3 haar_x3 -0.182875 0 -1\n"
" 0.792286 -0.246448  1 2 3 3 18 5 0 -1 3 3 9 5 0 2 haar_x2 -0.069892 0 -1 0.802678 -0.036072 \n"
" 1 2 1 16 18 3 0 -1 1 17 18 1 0 3 haar_y3 0.015297 0 -1 -0.200723 1.103060  1 2 5 17 18 3 0 -1\n"
" 5 18 18 1 0 3 haar_y3 0.006750 0 -1 -0.045968 0.720945  1 2 1 13 9 6 0 -1 1 15 9 2 0 3\n"
" haar_y3 -0.015983 0 -1 -0.903572 0.044988  1 2 1 9 23 10 0 -1 1 14 23 5 0 2 haar_y2\n"
" 0.013088 0 -1 0.352971 -0.377106  1 2 3 7 18 3 0 -1 3 8 18 1 0 3 haar_y3 0.013061 0 -1\n"
" -0.195836 1.119894  1 2 6 8 12 3 0 -1 6 8 6 3 0 2 haar_x2 -0.039907 0 -1 -1.399843 0.191451 \n"
" 1 2 6 2 3 22 0 -1 7 2 1 22 0 3 haar_x3 0.015027 0 -1 0.002360 -1.161125  1 2 14 17 10 6 0 -1\n"
" 14 19 10 2 0 3 haar_y3 -0.020518 0 -1 -0.489081 0.167434  1 2 1 18 10 6 0 -1 1 20 10 2 0 3\n"
" haar_y3 -0.022359 0 -1 -1.220298 -0.011976  1 2 11 3 6 12 0 -1 13 3 2 12 0 3 haar_x3\n"
" -0.007915 0 -1 0.372281 -0.085063  1 2 10 6 4 9 0 -1 12 6 2 9 0 2 haar_x2 0.015258 0 -1\n"
" -0.294126 0.594064  1 2 11 0 6 9 0 -1 13 0 2 9 0 3 haar_x3 -0.031666 0 -1 -1.439557 0.135788 \n"
" 1 2 7 0 6 9 0 -1 9 0 2 9 0 3 haar_x3 -0.030774 0 -1 -2.254537 -0.033971  1 2 12 10 9 6 0 -1\n"
" 15 10 3 6 0 3 haar_x3 -0.015483 0 -1 0.377007 0.015848  1 2 2 11 6 9 0 -1 5 11 3 9 0 2\n"
" haar_x2 0.035167 0 -1 -0.294461 0.531591  1 2 14 5 3 19 0 -1 15 5 1 19 0 3 haar_x3\n"
" -0.017906 0 -1 -0.997882 0.162360  1 2 6 6 9 6 0 -1 6 8 9 2 0 3 haar_y3 -0.003180 0 -1\n"
" 0.047657 -0.752499  1 2 14 5 3 19 0 -1 15 5 1 19 0 3 haar_x3 0.015720 0 -1 0.148738 -0.653754 \n"
" 1 2 0 3 6 9 0 -1 0 6 6 3 0 3 haar_y3 0.029864 0 -1 -0.014952 -1.227519  1 2 5 21 18 3 0 -1\n"
" 5 22 18 1 0 3 haar_y3 0.002990 0 -1 -0.142637 0.432728  1 2 1 10 18 4 0 -1 7 10 6 4 0 3\n"
" haar_x3 0.084750 0 -1 -0.019281 -1.194641  1 3 13 4 8 10 0 -1 17 4 4 5 0 2 13 9 4 5 0 2\n"
" haar_x2_y2 -0.058725 0 -1 -1.732822 0.143747  1 2 7 8 9 6 0 -1 10 8 3 6 0 3 haar_x3\n"
" 0.044756 0 -1 -0.241406 0.540200  1 2 12 9 9 8 0 -1 15 9 3 8 0 3 haar_x3 0.040369 0 -1\n"
" 0.005768 0.565781  1 2 0 6 5 12 0 -1 0 10 5 4 0 3 haar_y3 0.037736 0 -1 0.038181 -0.793704 \n"
" 1 3 7 6 14 6 0 -1 14 6 7 3 0 2 7 9 7 3 0 2 haar_x2_y2 0.060753 0 -1 0.076453 1.481321 \n"
" 1 2 7 5 3 19 0 -1 8 5 1 19 0 3 haar_x3 -0.019832 0 -1 -1.697172 -0.027370  1 2 8 4 15 20 0 -1\n"
" 13 4 5 20 0 3 haar_x3 -0.165927 0 -1 0.629760 0.031763  1 2 1 4 15 20 0 -1 6 4 5 20 0 3\n"
" haar_x3 0.069015 0 -1 -0.334632 0.300767  1 2 13 10 6 6 0 -1 13 10 3 6 0 2 haar_x2\n"
" 0.011358 0 -1 0.227415 -0.382247  1 2 5 10 6 6 0 -1 8 10 3 6 0 2 haar_x2 0.001700 0 -1\n"
" 0.192238 -0.527351  1 3 14 2 6 14 0 -1 17 2 3 7 0 2 14 9 3 7 0 2 haar_x2_y2 0.079769 0 -1\n"
" 0.091492 2.104905  1 3 4 2 6 14 0 -1 4 2 3 7 0 2 7 9 3 7 0 2 haar_x2_y2 -0.057144 0 -1\n"
" -1.745213 -0.040910  1 2 12 4 6 7 0 -1 12 4 3 7 0 2 haar_x2 0.007383 0 -1 -0.242148 0.355778 \n"
" 1 2 9 4 6 9 0 -1 11 4 2 9 0 3 haar_x3 -0.018041 0 -1 1.178000 -0.176767  1 2 11 4 8 10 0 -1\n"
" 11 4 4 10 0 2 haar_x2 0.094503 0 -1 0.139361 -1.299370  1 2 5 4 8 10 0 -1 9 4 4 10 0 2\n"
" haar_x2 0.005421 0 -1 -0.546086 0.139164  1 2 8 18 10 6 0 -1 8 20 10 2 0 3 haar_y3\n"
" 0.007029 0 -1 -0.215972 0.392581  1 2 1 18 21 6 0 -1 1 20 21 2 0 3 haar_y3 0.034516 0 -1\n"
" 0.063189 -0.721081  1 2 9 2 12 6 0 -1 9 2 6 6 0 2 haar_x2 -0.051925 0 -1 0.686676 0.063273 \n"
" 1 2 3 2 12 6 0 -1 9 2 6 6 0 2 haar_x2 -0.069162 0 -1 1.741181 -0.166193  1 3 12 5 12 6 0 -1\n"
" 18 5 6 3 0 2 12 8 6 3 0 2 haar_x2_y2 -0.005523 0 -1 0.306947 -0.166629  1 2 8 8 6 9 0 -1\n"
" 8 11 6 3 0 3 haar_y3 0.068600 0 -1 -0.214054 0.731850  1 2 2 7 20 6 0 -1 2 9 20 2 0 3\n"
" haar_y3 -0.067039 0 -1 -0.793606 0.205258  1 3 0 5 12 6 0 -1 0 5 6 3 0 2 6 8 6 3 0 2\n"
" haar_x2_y2 -0.021005 0 -1 0.373444 -0.296186  1 3 14 14 8 10 0 -1 18 14 4 5 0 2 14 19 4 5 0 2\n"
" haar_x2_y2 0.020279 0 -1 -0.015200 0.405553  1 3 2 14 8 10 0 -1 2 14 4 5 0 2 6 19 4 5 0 2\n"
" haar_x2_y2 -0.047108 0 -1 1.211685 -0.174643  1 2 2 11 20 13 0 -1 2 11 10 13 0 2\n"
" haar_x2 0.187685 0 -1 -0.022909 0.696458  1 2 6 9 12 5 0 -1 12 9 6 5 0 2 haar_x2\n"
" -0.043229 0 -1 -1.060248 -0.000556  1 3 5 6 16 6 0 -1 13 6 8 3 0 2 5 9 8 3 0 2 haar_x2_y2\n"
" 0.020004 0 -1 -0.032751 0.538051  1 2 1 19 9 4 0 -1 1 21 9 2 0 2 haar_y2 0.008088 0 -1\n"
" 0.037548 -0.747689  1 2 7 5 12 5 0 -1 11 5 4 5 0 3 haar_x3 0.027101 0 -1 -0.081790 0.333871 \n"
" 1 3 3 5 14 12 0 -1 3 5 7 6 0 2 10 11 7 6 0 2 haar_x2_y2 -0.091746 0 -1 -1.921351 -0.038953 \n"
" 1 2 9 4 9 6 0 -1 12 4 3 6 0 3 haar_x3 -0.012455 0 -1 0.483606 0.018168  1 2 2 6 19 3 0 -1\n"
" 2 7 19 1 0 3 haar_y3 0.014649 0 -1 -0.199067 0.728154  1 2 18 10 6 9 0 -1 18 13 6 3 0 3\n"
" haar_y3 0.029102 0 -1 0.198711 -0.492168  1 2 3 7 18 2 0 -1 3 8 18 1 0 2 haar_y2\n"
" 0.008780 0 -1 -0.194996 0.773174  1 3 20 2 4 18 0 -1 22 2 2 9 0 2 20 11 2 9 0 2 haar_x2_y2\n"
" -0.054740 0 -1 1.808719 0.068323  1 2 2 18 20 3 0 -1 2 19 20 1 0 3 haar_y3 -0.014798 0 -1\n"
" 0.780649 -0.187096  1 2 1 9 22 3 0 -1 1 10 22 1 0 3 haar_y3 0.025013 0 -1 0.152853 -1.602102 \n"
" 1 3 0 2 4 18 0 -1 0 2 2 9 0 2 2 11 2 9 0 2 haar_x2_y2 0.046548 0 -1 -0.167382 1.190206 \n"
" 1 2 19 0 4 23 0 -1 19 0 2 23 0 2 haar_x2 0.017624 0 -1 -0.102855 0.391759  1 2 0 3 6 19 0 -1\n"
" 3 3 3 19 0 2 haar_x2 0.163196 0 -1 -0.035624 -1.609817  1 2 18 2 6 9 0 -1 20 2 2 9 0 3\n"
" haar_x3 0.013138 0 -1 -0.056359 0.541589  1 2 0 5 10 6 0 -1 0 7 10 2 0 3 haar_y3\n"
" -0.015665 0 -1 0.280631 -0.317086  1 3 7 0 12 12 0 -1 13 0 6 6 0 2 7 6 6 6 0 2 haar_x2_y2\n"
" 0.080554 0 -1 0.126404 -1.029753  1 3 0 3 24 6 0 -1 0 3 12 3 0 2 12 6 12 3 0 2 haar_x2_y2\n"
" 0.035364 0 -1 0.020753 -0.791056  1 2 10 14 4 10 0 -1 10 19 4 5 0 2 haar_y2 0.032987 0 -1\n"
" 0.190571 -0.838399  1 2 8 9 4 15 0 -1 8 14 4 5 0 3 haar_y3 0.012195 0 -1 0.073729 -0.627807 \n"
" 1 2 4 11 17 6 0 -1 4 14 17 3 0 2 haar_y2 0.043066 0 -1 0.047385 1.571294  1 3 2 5 18 8 0 -1\n"
" 2 5 9 4 0 2 11 9 9 4 0 2 haar_x2_y2 0.030327 0 -1 -0.273146 0.385720  1 3 7 6 14 6 0 -1\n"
" 14 6 7 3 0 2 7 9 7 3 0 2 haar_x2_y2 0.035493 0 -1 0.054594 0.525834  1 3 3 6 14 6 0 -1\n"
" 3 6 7 3 0 2 10 9 7 3 0 2 haar_x2_y2 -0.014597 0 -1 0.381526 -0.283324  1 2 16 5 3 18 0 -1\n"
" 17 5 1 18 0 3 haar_x3 0.012607 0 -1 0.154551 -0.305015  1 2 5 5 3 18 0 -1 6 5 1 18 0 3\n"
" haar_x3 0.010172 0 -1 0.023637 -0.872179  1 2 10 10 14 4 0 -1 10 12 14 2 0 2 haar_y2\n"
" 0.028843 0 -1 0.160910 -0.202776  1 2 4 10 9 4 0 -1 4 12 9 2 0 2 haar_y2 0.000551 0 -1\n"
" -0.615454 0.080936  -3.716091\n"
,

/* Stage 12 */
" 127 1 2 2 0 18 9 0 -1 2 3 18 3 0 3 haar_y3 0.048344 0 -1 -0.849046 0.569744  1 2\n"
" 6 3 12 8 0 -1 10 3 4 8 0 3 haar_x3 0.032460 0 -1 -0.814173 0.447817  1 2 1 1 8 5 0 -1\n"
" 5 1 4 5 0 2 haar_x2 0.033340 0 -1 -0.364238 0.679374  1 2 12 7 7 8 0 -1 12 11 7 4 0 2\n"
" haar_y2 0.006402 0 -1 -1.188546 0.192387  1 2 0 12 22 4 0 -1 0 14 22 2 0 2 haar_y2\n"
" -0.005689 0 -1 0.330853 -0.713341  1 2 15 6 4 15 0 -1 15 11 4 5 0 3 haar_y3 0.012698 0 -1\n"
" -0.509908 0.113763  1 2 5 7 7 8 0 -1 5 11 7 4 0 2 haar_y2 0.006055 0 -1 -1.047055 0.202226 \n"
" 1 2 8 18 9 4 0 -1 8 20 9 2 0 2 haar_y2 0.002642 0 -1 -0.505594 0.364412  1 2 1 2 22 4 0 -1\n"
" 1 4 22 2 0 2 haar_y2 -0.016926 0 -1 -0.995419 0.126022  1 2 17 3 6 17 0 -1 19 3 2 17 0 3\n"
" haar_x3 0.028236 0 -1 -0.094138 0.577804  1 2 8 2 8 18 0 -1 8 11 8 9 0 2 haar_y2\n"
" 0.010429 0 -1 0.232729 -0.525697  1 3 17 0 6 12 0 -1 20 0 3 6 0 2 17 6 3 6 0 2 haar_x2_y2\n"
" 0.009886 0 -1 -0.103163 0.476576  1 2 7 0 6 9 0 -1 9 0 2 9 0 3 haar_x3 0.026015 0 -1\n"
" -0.001092 -1.558173  1 2 15 5 9 12 0 -1 15 11 9 6 0 2 haar_y2 -0.025538 0 -1 -0.654514 0.188432 \n"
" 1 2 2 22 18 2 0 -1 2 23 18 1 0 2 haar_y2 -0.003531 0 -1 0.281406 -0.445753  1 3 10 10 12 6 0 -1\n"
" 16 10 6 3 0 2 10 13 6 3 0 2 haar_x2_y2 0.009245 0 -1 0.156120 -0.213710  1 2 0 1 4 11 0 -1\n"
" 2 1 2 11 0 2 haar_x2 0.021031 0 -1 -0.291703 0.522341  1 2 20 0 4 10 0 -1 20 0 2 10 0 2\n"
" haar_x2 -0.051063 0 -1 1.366129 0.030466  1 2 1 3 6 17 0 -1 3 3 2 17 0 3 haar_x3\n"
" -0.062330 0 -1 1.220702 -0.224344  1 2 15 15 9 6 0 -1 15 17 9 2 0 3 haar_y3 -0.032963 0 -1\n"
" -0.820168 0.145319  1 2 0 13 8 9 0 -1 0 16 8 3 0 3 haar_y3 -0.037418 0 -1 -1.221810 0.019449 \n"
" 1 2 16 8 6 12 0 -1 16 12 6 4 0 3 haar_y3 0.124028 0 -1 0.120823 -0.987293  1 2 2 8 6 12 0 -1\n"
" 2 12 6 4 0 3 haar_y3 -0.008923 0 -1 -1.168849 0.021105  1 2 10 2 4 15 0 -1 10 7 4 5 0 3\n"
" haar_y3 -0.059880 0 -1 -1.068933 0.198602  1 2 1 5 19 3 0 -1 1 6 19 1 0 3 haar_y3\n"
" 0.006262 0 -1 -0.362296 0.380008  1 2 11 8 9 7 0 -1 14 8 3 7 0 3 haar_x3 -0.017673 0 -1\n"
" 0.490941 -0.146067  1 2 3 8 12 9 0 -1 3 11 12 3 0 3 haar_y3 0.017579 0 -1 0.587281 -0.277744 \n"
" 1 2 3 6 18 3 0 -1 3 7 18 1 0 3 haar_y3 0.005156 0 -1 -0.075195 0.601931  1 2 10 0 4 12 0 -1\n"
" 10 6 4 6 0 2 haar_y2 -0.010600 0 -1 0.276374 -0.377943  1 2 3 9 18 14 0 -1 3 9 9 14 0 2\n"
" haar_x2 0.208841 0 -1 -0.005360 1.031781  1 2 0 0 4 9 0 -1 2 0 2 9 0 2 haar_x2 -0.026413 0 -1\n"
" 0.823364 -0.224806  1 2 12 5 4 18 0 -1 12 5 2 18 0 2 haar_x2 0.058892 0 -1 0.130983 -1.185370 \n"
" 1 2 8 5 4 18 0 -1 10 5 2 18 0 2 haar_x2 -0.011579 0 -1 -0.906678 0.044127  1 2 10 5 6 10 0 -1\n"
" 12 5 2 10 0 3 haar_x3 0.045988 0 -1 0.010144 1.074090  1 2 9 4 4 11 0 -1 11 4 2 11 0 2\n"
" haar_x2 -0.022838 0 -1 1.779199 -0.173155  1 2 4 16 18 3 0 -1 4 17 18 1 0 3 haar_y3\n"
" -0.008171 0 -1 0.573863 -0.074106  1 2 0 16 20 3 0 -1 0 17 20 1 0 3 haar_y3 0.003536 0 -1\n"
" -0.320729 0.401825  1 2 9 9 6 12 0 -1 9 13 6 4 0 3 haar_y3 0.049445 0 -1 0.192880 -1.216670 \n"
" 1 2 8 13 8 8 0 -1 8 17 8 4 0 2 haar_y2 0.003514 0 -1 0.069568 -0.713237  1 2 13 10 3 12 0 -1\n"
" 13 16 3 6 0 2 haar_y2 -0.030996 0 -1 -0.388622 0.180988  1 3 5 9 14 14 0 -1 5 9 7 7 0 2\n"
" 12 16 7 7 0 2 haar_x2_y2 0.086453 0 -1 -0.025793 -1.545322  1 3 0 0 24 10 0 -1 12 0 12 5 0 2\n"
" 0 5 12 5 0 2 haar_x2_y2 -0.136526 0 -1 -1.919942 0.166133  1 2 1 11 18 2 0 -1 1 12 18 1 0 2\n"
" haar_y2 -0.005769 0 -1 -1.282259 -0.015908  1 2 19 5 5 12 0 -1 19 9 5 4 0 3 haar_y3\n"
" -0.017900 0 -1 -0.404099 0.235916  1 2 0 5 5 12 0 -1 0 9 5 4 0 3 haar_y3 -0.019970 0 -1\n"
" -0.728919 0.056235  1 3 16 6 8 18 0 -1 20 6 4 9 0 2 16 15 4 9 0 2 haar_x2_y2 -0.057493 0 -1\n"
" 0.578308 -0.015796  1 3 0 6 8 18 0 -1 0 6 4 9 0 2 4 15 4 9 0 2 haar_x2_y2 -0.083056 0 -1\n"
" 0.915116 -0.211214  1 3 12 5 12 12 0 -1 18 5 6 6 0 2 12 11 6 6 0 2 haar_x2_y2 -0.053771 0 -1\n"
" -0.519313 0.185760  1 2 7 6 6 9 0 -1 9 6 2 9 0 3 haar_x3 -0.008367 0 -1 0.241097 -0.396486 \n"
" 1 2 9 13 6 11 0 -1 11 13 2 11 0 3 haar_x3 0.055407 0 -1 0.167712 -2.566497  1 3 0 5 12 12 0 -1\n"
" 0 5 6 6 0 2 6 11 6 6 0 2 haar_x2_y2 -0.067181 0 -1 -1.365857 -0.014232  1 2 1 2 23 3 0 -1\n"
" 1 3 23 1 0 3 haar_y3 -0.023900 0 -1 -1.708457 0.165078  1 2 1 15 19 3 0 -1 1 16 19 1 0 3\n"
" haar_y3 0.005595 0 -1 -0.313740 0.328379  1 2 13 17 11 4 0 -1 13 19 11 2 0 2 haar_y2\n"
" 0.021295 0 -1 0.149534 -0.485798  1 2 0 13 8 5 0 -1 4 13 4 5 0 2 haar_x2 -0.024613 0 -1\n"
" 0.743464 -0.223052  1 2 12 10 10 4 0 -1 12 10 5 4 0 2 haar_x2 -0.019626 0 -1 -0.409183 0.188932 \n"
" 1 2 4 6 9 9 0 -1 4 9 9 3 0 3 haar_y3 -0.053266 0 -1 0.813816 -0.208537  1 2 15 14 9 6 0 -1\n"
" 15 16 9 2 0 3 haar_y3 0.