cvhaarfacecascade.cpp.svn-base

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

" haar_x3 0.039231 0 -1 0.042619 -1.387589  1 2 12 2 6 9 0 -1 12 2 3 9 0 2 haar_x2\n"
" 0.062238 0 -1 0.141194 -1.068886  1 2 6 2 6 9 0 -1 9 2 3 9 0 2 haar_x2 0.002140 0 -1\n"
" -0.896224 0.197964  1 2 6 18 12 6 0 -1 6 20 12 2 0 3 haar_y3 0.000918 0 -1 -0.453373 0.435327 \n"
" 1 2 7 6 6 9 0 -1 9 6 2 9 0 3 haar_x3 -0.006917 0 -1 0.338228 -0.447930  1 2 7 7 12 3 0 -1\n"
" 7 7 6 3 0 2 haar_x2 -0.023867 0 -1 -0.789086 0.225118  1 2 8 3 8 21 0 -1 8 10 8 7 0 3\n"
" haar_y3 -0.102628 0 -1 -2.283144 -0.005396  1 2 7 4 10 12 0 -1 7 8 10 4 0 3 haar_y3\n"
" -0.009524 0 -1 0.393467 -0.522422  1 2 0 1 6 9 0 -1 0 4 6 3 0 3 haar_y3 0.039877 0 -1\n"
" 0.032799 -1.507949  1 2 15 2 2 20 0 -1 15 2 1 20 0 2 haar_x2 -0.013145 0 -1 -1.083999 0.184824 \n"
" 1 2 0 3 6 9 0 -1 0 6 6 3 0 3 haar_y3 -0.050591 0 -1 -1.882229 -0.002220  1 2 15 3 2 21 0 -1\n"
" 15 3 1 21 0 2 haar_x2 0.024917 0 -1 0.145934 -2.219652  1 2 7 0 2 23 0 -1 8 0 1 23 0 2\n"
" haar_x2 -0.007637 0 -1 -1.016457 0.058797  1 2 15 8 9 4 0 -1 15 10 9 2 0 2 haar_y2\n"
" 0.042912 0 -1 0.154430 -1.184389  1 2 0 8 9 4 0 -1 0 10 9 2 0 2 haar_y2 0.000230 0 -1\n"
" -0.773058 0.121899  1 2 8 14 9 6 0 -1 8 16 9 2 0 3 haar_y3 0.009093 0 -1 -0.114501 0.710913 \n"
" 1 2 0 14 9 6 0 -1 0 16 9 2 0 3 haar_y3 0.011145 0 -1 0.070001 -1.053482  1 2 3 10 18 4 0 -1\n"
" 9 10 6 4 0 3 haar_x3 -0.052453 0 -1 -1.759436 0.195238  1 2 0 0 24 19 0 -1 8 0 8 19 0 3\n"
" haar_x3 -0.230207 0 -1 0.958403 -0.250457  1 2 9 1 8 12 0 -1 9 7 8 6 0 2 haar_y2\n"
" -0.016366 0 -1 0.467319 -0.211084  1 2 10 6 4 10 0 -1 12 6 2 10 0 2 haar_x2 -0.017208 0 -1\n"
" 0.708357 -0.280183  1 3 7 9 10 12 0 -1 12 9 5 6 0 2 7 15 5 6 0 2 haar_x2_y2 -0.036648 0 -1\n"
" -1.101334 0.243411  1 2 5 0 3 19 0 -1 6 0 1 19 0 3 haar_x3 -0.010305 0 -1 -1.093313 0.056259 \n"
" 1 2 14 0 6 10 0 -1 16 0 2 10 0 3 haar_x3 -0.013713 0 -1 -0.264381 0.198210  1 3 2 0 6 12 0 -1\n"
" 2 0 3 6 0 2 5 6 3 6 0 2 haar_x2_y2 0.029308 0 -1 -0.221424 1.052595  1 2 0 11 24 2 0 -1\n"
" 0 12 24 1 0 2 haar_y2 0.024077 0 -1 0.184857 -1.720397  1 2 4 9 13 4 0 -1 4 11 13 2 0 2\n"
" haar_y2 0.006128 0 -1 -0.927215 0.058753  1 2 9 8 6 9 0 -1 9 11 6 3 0 3 haar_y3 -0.022378 0 -1\n"
" 1.964656 0.027786  1 2 0 12 16 4 0 -1 0 14 16 2 0 2 haar_y2 -0.007044 0 -1 0.214276 -0.484076 \n"
" 1 2 18 12 6 9 0 -1 18 15 6 3 0 3 haar_y3 -0.040603 0 -1 -1.175435 0.160612  1 2 0 12 6 9 0 -1\n"
" 0 15 6 3 0 3 haar_y3 -0.024466 0 -1 -1.123990 0.041110  1 2 8 7 10 4 0 -1 8 7 5 4 0 2\n"
" haar_x2 0.002531 0 -1 -0.171697 0.321788  1 2 8 7 6 9 0 -1 10 7 2 9 0 3 haar_x3 -0.019589 0 -1\n"
" 0.827202 -0.263767  1 2 11 0 6 9 0 -1 13 0 2 9 0 3 haar_x3 -0.029636 0 -1 -1.152477 0.149993 \n"
" 1 2 7 0 6 9 0 -1 9 0 2 9 0 3 haar_x3 -0.015030 0 -1 -1.049183 0.040161  1 2 12 3 6 15 0 -1\n"
" 14 3 2 15 0 3 haar_x3 -0.060715 0 -1 -1.090384 0.153308  1 2 6 3 6 15 0 -1 8 3 2 15 0 3\n"
" haar_x3 -0.012790 0 -1 0.422486 -0.423992  1 2 15 2 9 4 0 -1 15 4 9 2 0 2 haar_y2\n"
" -0.020248 0 -1 -0.918670 0.184857  1 2 5 10 6 7 0 -1 8 10 3 7 0 2 haar_x2 -0.030684 0 -1\n"
" -1.595867 0.002576  1 2 9 14 6 10 0 -1 9 19 6 5 0 2 haar_y2 -0.020718 0 -1 -0.663000 0.310372 \n"
" 1 2 7 13 5 8 0 -1 7 17 5 4 0 2 haar_y2 -0.001729 0 -1 0.191834 -0.650850  1 2 14 5 3 16 0 -1\n"
" 14 13 3 8 0 2 haar_y2 -0.031394 0 -1 -0.636430 0.154084  1 2 2 17 18 3 0 -1 2 18 18 1 0 3\n"
" haar_y3 0.019003 0 -1 -0.189194 1.529451  1 2 5 18 19 3 0 -1 5 19 19 1 0 3 haar_y3\n"
" 0.006177 0 -1 -0.105979 0.648596  1 2 9 0 6 9 0 -1 11 0 2 9 0 3 haar_x3 -0.010166 0 -1\n"
" -1.080270 0.037176  1 2 12 4 3 18 0 -1 13 4 1 18 0 3 haar_x3 -0.001417 0 -1 0.341575 -0.097738 \n"
" 1 2 9 4 3 18 0 -1 10 4 1 18 0 3 haar_x3 -0.004080 0 -1 0.476246 -0.343663  1 2 3 3 18 9 0 -1\n"
" 9 3 6 9 0 3 haar_x3 -0.044097 0 -1 0.976343 -0.019173  1 2 6 1 6 14 0 -1 8 1 2 14 0 3\n"
" haar_x3 -0.060670 0 -1 -2.175285 -0.028926  1 2 12 16 9 6 0 -1 12 19 9 3 0 2 haar_y2\n"
" -0.032932 0 -1 -0.643831 0.164941  1 3 1 3 20 16 0 -1 1 3 10 8 0 2 11 11 10 8 0 2\n"
" haar_x2_y2 -0.147228 0 -1 -1.474583 0.002584  1 3 12 5 6 12 0 -1 15 5 3 6 0 2 12 11 3 6 0 2\n"
" haar_x2_y2 -0.011930 0 -1 0.424414 -0.177126  1 3 1 2 22 16 0 -1 1 2 11 8 0 2 12 10 11 8 0 2\n"
" haar_x2_y2 0.145179 0 -1 0.025445 -1.277940  1 2 10 14 5 10 0 -1 10 19 5 5 0 2 haar_y2\n"
" 0.051448 0 -1 0.156784 -1.518843  1 2 3 21 18 3 0 -1 3 22 18 1 0 3 haar_y3 0.003148 0 -1\n"
" -0.404244 0.324297  1 2 10 14 6 10 0 -1 12 14 2 10 0 3 haar_x3 -0.043600 0 -1 -1.993226 0.150186 \n"
" -3.883209\n"
,

/* Stage 8 */
" 83 1 2 0 2 24 4 0 -1 8 2 8 4 0 3 haar_x3 0.128996 0 -1 -0.621620 1.111652  1 2 6 4 12 9 0 -1\n"
" 6 7 12 3 0 3 haar_y3 -0.091262 0 -1 1.014306 -0.613352  1 2 6 6 12 5 0 -1 10 6 4 5 0 3\n"
" haar_x3 0.014272 0 -1 -1.026166 0.397800  1 2 5 8 14 12 0 -1 5 12 14 4 0 3 haar_y3\n"
" 0.032890 0 -1 -1.138608 0.286908  1 3 4 14 8 10 0 -1 4 14 4 5 0 2 8 19 4 5 0 2 haar_x2_y2\n"
" 0.012590 0 -1 -0.566456 0.451724  1 2 11 6 5 14 0 -1 11 13 5 7 0 2 haar_y2 0.014661 0 -1\n"
" 0.305060 -0.681296  1 2 7 6 3 16 0 -1 7 14 3 8 0 2 haar_y2 -0.033556 0 -1 -1.720894 0.061439 \n"
" 1 2 3 7 18 8 0 -1 9 7 6 8 0 3 haar_x3 0.142527 0 -1 0.231922 -1.729715  1 2 2 3 20 2 0 -1\n"
" 2 4 20 1 0 2 haar_y2 -0.006208 0 -1 -1.216330 0.121602  1 2 3 12 19 6 0 -1 3 14 19 2 0 3\n"
" haar_y3 0.018179 0 -1 0.325537 -0.810040  1 2 8 6 6 9 0 -1 10 6 2 9 0 3 haar_x3 0.025037 0 -1\n"
" -0.316988 0.673614  1 2 16 6 6 14 0 -1 16 6 3 14 0 2 haar_x2 0.046561 0 -1 -0.110898 0.840825 \n"
" 1 2 7 9 6 12 0 -1 9 9 2 12 0 3 haar_x3 -0.009000 0 -1 0.395745 -0.476246  1 3 18 6 6 18 0 -1\n"
" 21 6 3 9 0 2 18 15 3 9 0 2 haar_x2_y2 0.040806 0 -1 -0.000180 0.945707  1 3 0 6 6 18 0 -1\n"
" 0 6 3 9 0 2 3 15 3 9 0 2 haar_x2_y2 -0.034222 0 -1 0.752063 -0.315315  1 2 18 2 6 9 0 -1\n"
" 18 5 6 3 0 3 haar_y3 -0.039716 0 -1 -0.831396 0.177444  1 2 3 18 15 6 0 -1 3 20 15 2 0 3\n"
" haar_y3 0.002517 0 -1 -0.593780 0.246570  1 2 18 2 6 9 0 -1 18 5 6 3 0 3 haar_y3\n"
" 0.027429 0 -1 0.159984 -0.427820  1 2 0 2 6 9 0 -1 0 5 6 3 0 3 haar_y3 0.034986 0 -1\n"
" 0.035056 -1.598860  1 2 5 10 18 2 0 -1 5 11 18 1 0 2 haar_y2 0.004497 0 -1 -0.520343 0.378283 \n"
" 1 2 6 0 12 6 0 -1 6 2 12 2 0 3 haar_y3 0.002770 0 -1 -0.531826 0.249510  1 2 10 0 6 9 0 -1\n"
" 12 0 2 9 0 3 haar_x3 0.035174 0 -1 0.199834 -1.444613  1 2 8 0 6 9 0 -1 10 0 2 9 0 3\n"
" haar_x3 0.025971 0 -1 0.044427 -1.362298  1 2 15 12 9 6 0 -1 15 14 9 2 0 3 haar_y3\n"
" -0.015784 0 -1 -0.910204 0.271903  1 2 3 6 13 6 0 -1 3 8 13 2 0 3 haar_y3 -0.007588 0 -1\n"
" 0.092065 -0.816289  1 2 15 12 9 6 0 -1 15 14 9 2 0 3 haar_y3 0.020754 0 -1 0.211857 -0.747290 \n"
" 1 2 2 5 6 15 0 -1 5 5 3 15 0 2 haar_x2 0.059829 0 -1 -0.273011 0.809233  1 2 8 8 9 6 0 -1\n"
" 11 8 3 6 0 3 haar_x3 0.039039 0 -1 -0.104323 0.862262  1 2 8 6 3 14 0 -1 8 13 3 7 0 2\n"
" haar_y2 0.021666 0 -1 0.062709 -0.988943  1 2 15 12 9 6 0 -1 15 14 9 2 0 3 haar_y3\n"
" -0.027497 0 -1 -0.926910 0.155863  1 2 4 12 10 4 0 -1 9 12 5 4 0 2 haar_x2 0.010462 0 -1\n"
" 0.134181 -0.703864  1 2 13 1 4 19 0 -1 13 1 2 19 0 2 haar_x2 0.024871 0 -1 0.197067 -0.402633 \n"
" 1 2 7 1 4 19 0 -1 9 1 2 19 0 2 haar_x2 -0.016036 0 -1 -1.140983 0.073998  1 2 18 9 6 9 0 -1\n"
" 18 12 6 3 0 3 haar_y3 0.048627 0 -1 0.169904 -0.721522  1 2 1 21 18 3 0 -1 1 22 18 1 0 3\n"
" haar_y3 0.001262 0 -1 -0.473898 0.262550  1 2 14 13 10 9 0 -1 14 16 10 3 0 3 haar_y3\n"
" -0.088035 0 -1 -2.160652 0.145548  1 3 1 13 22 4 0 -1 1 13 11 2 0 2 12 15 11 2 0 2\n"
" haar_x2_y2 0.018357 0 -1 0.044751 -1.076637  1 3 4 6 16 6 0 -1 12 6 8 3 0 2 4 9 8 3 0 2\n"
" haar_x2_y2 0.035275 0 -1 -0.032919 1.215389  1 3 1 0 18 22 0 -1 1 0 9 11 0 2 10 11 9 11 0 2\n"
" haar_x2_y2 -0.203929 0 -1 -1.318800 0.015504  1 3 10 7 8 14 0 -1 14 7 4 7 0 2 10 14 4 7 0 2\n"
" haar_x2_y2 -0.016619 0 -1 0.368502 -0.152837  1 3 0 4 6 20 0 -1 0 4 3 10 0 2 3 14 3 10 0 2\n"
" haar_x2_y2 0.037739 0 -1 -0.257278 0.706553  1 2 15 0 6 9 0 -1 17 0 2 9 0 3 haar_x3\n"
" 0.002272 0 -1 -0.077603 0.333678  1 2 3 0 6 9 0 -1 5 0 2 9 0 3 haar_x3 -0.014803 0 -1\n"
" -0.785248 0.076934  1 3 15 12 6 12 0 -1 18 12 3 6 0 2 15 18 3 6 0 2 haar_x2_y2 -0.048319 0 -1\n"
" 1.702232 0.049722  1 3 3 12 6 12 0 -1 3 12 3 6 0 2 6 18 3 6 0 2 haar_x2_y2 -0.029539 0 -1\n"
" 0.776707 -0.245343  1 2 15 12 9 6 0 -1 15 14 9 2 0 3 haar_y3 -0.046169 0 -1 -1.492278 0.123400 \n"
" 1 2 0 12 9 6 0 -1 0 14 9 2 0 3 haar_y3 -0.028065 0 -1 -2.134537 -0.025797  1 2 4 14 19 3 0 -1\n"
" 4 15 19 1 0 3 haar_y3 -0.005734 0 -1 0.569826 -0.120566  1 2 2 13 19 3 0 -1 2 14 19 1 0 3\n"
" haar_y3 -0.010111 0 -1 0.679114 -0.266380  1 2 14 15 10 6 0 -1 14 17 10 2 0 3 haar_y3\n"
" 0.011360 0 -1 0.247898 -0.644930  1 3 6 0 10 12 0 -1 6 0 5 6 0 2 11 6 5 6 0 2 haar_x2_y2\n"
" 0.051809 0 -1 0.014716 -1.239558  1 3 17 1 6 12 0 -1 20 1 3 6 0 2 17 7 3 6 0 2 haar_x2_y2\n"
" 0.033292 0 -1 -0.008256 1.016847  1 3 1 1 6 12 0 -1 1 1 3 6 0 2 4 7 3 6 0 2 haar_x2_y2\n"
" -0.014494 0 -1 0.450668 -0.362510  1 2 16 14 6 9 0 -1 16 17 6 3 0 3 haar_y3 -0.034222 0 -1\n"
" -0.952925 0.206846  1 2 7 3 9 12 0 -1 7 9 9 6 0 2 haar_y2 -0.080654 0 -1 -2.013950 -0.023085 \n"
" 1 2 12 1 4 12 0 -1 12 7 4 6 0 2 haar_y2 -0.000894 0 -1 0.395720 -0.293513  1 2 4 0 14 8 0 -1\n"
" 4 4 14 4 0 2 haar_y2 0.097162 0 -1 -0.249803 1.085922  1 2 10 6 6 9 0 -1 12 6 2 9 0 3\n"
" haar_x3 0.036614 0 -1 -0.057844 1.216216  1 2 2 10 18 3 0 -1 8 10 6 3 0 3 haar_x3\n"
" 0.051694 0 -1 0.043063 -1.063616  1 2 15 15 9 6 0 -1 15 17 9 2 0 3 haar_y3 -0.024557 0 -1\n"
" -0.489468 0.171829  1 2 0 1 21 23 0 -1 7 1 7 23 0 3 haar_x3 0.327368 0 -1 -0.296886 0.517983 \n"
" 1 2 6 9 17 4 0 -1 6 11 17 2 0 2 haar_y2 0.007696 0 -1 -0.598059 0.248032  1 2 1 0 11 18 0 -1\n"
" 1 6 11 6 0 3 haar_y3 0.161722 0 -1 -0.029614 -2.316253  1 2 6 15 13 6 0 -1 6 17 13 2 0 3\n"
" haar_y3 -0.004789 0 -1 0.374579 -0.327792  1 2 0 15 9 6 0 -1 0 17 9 2 0 3 haar_y3\n"
" -0.018403 0 -1 -0.996927 0.072948  1 2 8 7 15 4 0 -1 13 7 5 4 0 3 haar_x3 0.077665 0 -1\n"
" 0.141757 -1.723873  1 2 9 12 6 9 0 -1 9 15 6 3 0 3 haar_y3 0.018921 0 -1 -0.212731 1.016519 \n"
" 1 2 6 8 18 3 0 -1 12 8 6 3 0 3 haar_x3 -0.079398 0 -1 -1.316435 0.149820  1 2 0 14 24 4 0 -1\n"
" 8 14 8 4 0 3 haar_x3 -0.068037 0 -1 0.494220 -0.290910  1 2 16 10 3 12 0 -1 16 16 3 6 0 2\n"
" haar_y2 -0.006101 0 -1 0.424305 -0.338993  1 2 0 3 24 3 0 -1 0 4 24 1 0 3 haar_y3\n"
" 0.031927 0 -1 -0.031047 -2.346000  1 2 14 17 10 6 0 -1 14 19 10 2 0 3 haar_y3 -0.029844 0 -1\n"
" -0.789896 0.154177  1 2 1 13 18 3 0 -1 7 13 6 3 0 3 haar_x3 -0.080542 0 -1 -2.250923 -0.030907 \n"
" 1 2 5 0 18 9 0 -1 5 3 18 3 0 3 haar_y3 0.003811 0 -1 -0.255773 0.237855  1 2 4 3 16 9 0 -1\n"
" 4 6 16 3 0 3 haar_y3 0.033647 0 -1 -0.225414 0.923074  1 2 16 5 3 12 0 -1 16 11 3 6 0 2\n"
" haar_y2 0.008281 0 -1 -0.288962 0.310462  1 2 0 7 18 4 0 -1 6 7 6 4 0 3 haar_x3 0.101044 0 -1\n"
" -0.034864 -2.710262  1 2 10 6 6 9 0 -1 12 6 2 9 0 3 haar_x3 -0.010009 0 -1 0.597154 -0.033831 \n"
" 1 2 9 8 6 10 0 -1 11 8 2 10 0 3 haar_x3 0.007192 0 -1 -0.477380 0.226860  1 2 9 15 6 9 0 -1\n"
" 11 15 2 9 0 3 haar_x3 0.024969 0 -1 0.228777 -1.043553  1 2 3 1 18 21 0 -1 12 1 9 21 0 2\n"
" haar_x2 0.279080 0 -1 -0.258181 0.767805  1 2 6 8 12 7 0 -1 6 8 6 7 0 2 haar_x2 -0.044213 0 -1\n"
" -0.597980 0.280399  1 2 8 5 6 9 0 -1 10 5 2 9 0 3 haar_x3 -0.014137 0 -1 0.709873 -0.256452 \n"
" -3.842491\n"
,

/* Stage 9 */
" 91 1 2 0 2 24 4 0 -1 8 2 8 4 0 3 haar_x3 0.137712 0 -1 -0.558706 1.095377  1 2 14 7 5 12 0 -1\n"
" 14 11 5 4 0 3 haar_y3 0.034461 0 -1 -0.711719 0.528996  1 2 5 7 5 12 0 -1 5 11 5 4 0 3\n"
" haar_y3 0.018580 0 -1 -1.115752 0.405940  1 2 9 6 6 9 0 -1 11 6 2 9 0 3 haar_x3 0.025042 0 -1\n"
" -0.408925 0.741300  1 2 0 1 6 17 0 -1 3 1 3 17 0 2 haar_x2 0.057179 0 -1 -0.380543 0.736477 \n"
" 1 2 3 1 19 9 0 -1 3 4 19 3 0 3 haar_y3 0.014932 0 -1 -0.699455 0.379510  1 3 3 18 12 6 0 -1\n"
" 3 18 6 3 0 2 9 21 6 3 0 2 haar_x2_y2 0.008890 0 -1 -0.545586 0.363325  1 2 20 4 4 19 0 -1\n"
" 20 4 2 19 0 2 haar_x2 0.030436 0 -1 -0.101246 0.795859  1 2 0 16 10 7 0 -1 5 16 5 7 0 2\n"
" haar_x2 -0.044160 0 -1 0.844109 -0.329764  1 3 8 7 10 12 0 -1 13 7 5 6 0 2 8 13 5 6 0 2\n"
" haar_x2_y2 0.018461 0 -1 0.263266 -0.967365  1 3 6 7 10 12 0 -1 6 7 5 6 0 2 11 13 5 6 0 2\n"
" haar_x2_y2 0.010615 0 -1 0.152519 -1.058987  1 2 9 2 9 6 0 -1 12 2 3 6 0 3 haar_x3\n"
" -0.045974 0 -1 -1.991834 0.136291  1 2 1 20 21 4 0 -1 8 20 7 4 0 3 haar_x3 0.082900 0 -1\n"
" -0.320372 0.603042  1 2 9 12 9 6 0 -1 9 14 9 2 0 3 haar_y3 -0.008913 0 -1 0.595866 -0.211396 \n"
" 1 2 7 2 9 6 0 -1 10 2 3 6 0 3 haar_x3 0.042814 0 -1 0.022925 -1.467933  1 2 13 0 4 14 0 -1\n"
" 13 0 2 14 0 2 haar_x2 -0.008714 0 -1 -0.439895 0.204397  1 2 7 0 4 14 0 -1 9 0 2 14 0 2\n"
" haar_x2 -0.004339 0 -1 -0.890668 0.104700  1 2 14 15 9 6 0 -1 14 17 9 2 0 3 haar_y3\n"
" 0.008075 0 -1 0.211642 -0.402316  1 2 2 8 18 5 0 -1 8 8 6 5 0 3 haar_x3 0.096739 0 -1\n"
" 0.013320 -1.608536  1 2 18 3 6 11 0 -1 20 3 2 11 0 3 haar_x3 -0.030537 0 -1 1.006374 -0.134133 \n"
" 1 2 6 5 11 14 0 -1 6 12 11 7 0 2 haar_y2 -0.060856 0 -1 -1.468998 0.009424  1 2 18 4 6 9 0 -1\n"
" 18 7 6 3 0 3 haar_y3 -0.038162 0 -1 -0.816364 0.261712  1 2 7 6 9 6 0 -1 7 8 9 2 0 3\n"
" haar_y3 -0.009696 0 -1 0.115617 -0.716932  1 2 18 4 6 9 0 -1 18 7 6 3 0 3 haar_y3\n"
" 0.048903 0 -1 0.130505 -1.644837  1 2 0 4 6 9 0 -1 0 7 6 3 0 3 haar_y3 -0.041612 0 -1\n"
" -1.179584 0.025017  1 2 9 4 9 4 0 -1 9 6 9 2 0 2 haar_y2 -0.020188 0 -1 0.631882 -0.104904 \n"
" 1 2 0 22 19 2 0 -1 0 23 19 1 0 2 haar_y2 -0.000979 0 -1 0.185078 -0.535659  1 2 17 14 6 9 0 -1\n"
" 17 17 6 3 0 3 haar_y3 -0.033622 0 -1 -0.931276 0.200715  1 2 1 14 6 9 0 -1 1 17 6 3 0 3\n"
" haar_y3 0.019456 0 -1 0.038029 -1.011221  1 2 14 11 4 9 0 -1 14 11 2 9 0 2 haar_x2\n"