Logging output in ../cache/dss_100_breg120_RPN_multi_dpcv10.35top150_5000_fix_bs3_boxregiter_10000/cnn3d_train_18.Jan.2016:20.00.59.txt ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Training options: svm_C: 1.0000e-03 bias_mult: 10 pos_loss_weight: 2 layer: 5 checkpoint: 100 max_hard_epochs: 1 retrain_limit: 2000 evict_thresh: -1.2000 hard_thresh: -1.0001 neg_ovr_thresh: 0.1000 pos_ovr_thresh: 0.3000 addboxsize: 1 onlygtbox: 0 combinefea: 0 normfea: 0 pos_include_po: 1 pos_include_gt: 0 rb_dis: 1 box_reg: 1 proposal_dir: '/n/fs/modelnet/deepDetect/proposal/RPN_multi_dpcv10.35top150_5000_fix/' fullbox: 1 feat_norm_mean: 15.8389 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [Warning: Directory already exists.] [> In cnn3d_train at 27 In runall at 38 In dss_marvin_script at 255] Loaded saved positives from ground truth boxes bathtub has 501 positive instances bed has 17820 positive instances bookshelf has 803 positive instances box has 1082 positive instances chair has 37041 positive instances counter has 913 positive instances desk has 7759 positive instances door has 61 positive instances dresser has 1906 positive instances garbage_bin has 466 positive instances lamp has 623 positive instances monitor has 93 positive instances night_stand has 2389 positive instances pillow has 2488 positive instances sink has 1292 positive instances sofa has 9697 positive instances table has 14837 positive instances tv has 438 positive instances toilet has 1856 positive instances hard neg epoch: 1/1 image: 1/795 >>> Updating bathtub detector <<< Cache holds 501 pos examples 2000 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .* optimization finished, #iter = 14 Objective value = -0.213476 nSV = 242 1: obj val: 0.214 = 0.101 (pos) + 0.041 (neg) + 0.072 (reg) Pruning easy negatives Cache holds 501 pos examples 278 neg examples 76 pos support vectors 139 neg support vectors >>> Updating bed detector <<< Cache holds 17820 pos examples 2000 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .* optimization finished, #iter = 14 Objective value = -0.226361 nSV = 266 1: obj val: 0.227 = 0.077 (pos) + 0.055 (neg) + 0.094 (reg) Pruning easy negatives Cache holds 17820 pos examples 294 neg examples 74 pos support vectors 168 neg support vectors >>> Updating bookshelf detector <<< Cache holds 803 pos examples 2000 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .* optimization finished, #iter = 15 Objective value = -0.162618 nSV = 213 1: obj val: 0.163 = 0.057 (pos) + 0.022 (neg) + 0.085 (reg) Pruning easy negatives Cache holds 803 pos examples 235 neg examples 72 pos support vectors 106 neg support vectors >>> Updating box detector <<< Cache holds 1082 pos examples 1714 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .* optimization finished, #iter = 17 Objective value = -0.503968 nSV = 515 1: obj val: 0.504 = 0.187 (pos) + 0.173 (neg) + 0.144 (reg) Pruning easy negatives Cache holds 1082 pos examples 442 neg examples 159 pos support vectors 326 neg support vectors >>> Updating chair detector <<< Cache holds 37041 pos examples 1765 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .* optimization finished, #iter = 18 Objective value = -0.718569 nSV = 746 1: obj val: 0.719 = 0.213 (pos) + 0.281 (neg) + 0.226 (reg) Pruning easy negatives Cache holds 37041 pos examples 591 neg examples 241 pos support vectors 475 neg support vectors >>> Updating counter detector <<< Cache holds 913 pos examples 2000 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .* optimization finished, #iter = 16 Objective value = -0.171227 nSV = 217 1: obj val: 0.172 = 0.047 (pos) + 0.032 (neg) + 0.092 (reg) Pruning easy negatives Cache holds 913 pos examples 255 neg examples 60 pos support vectors 141 neg support vectors >>> Updating desk detector <<< Cache holds 7759 pos examples 2000 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .* optimization finished, #iter = 15 Objective value = -0.586838 nSV = 644 1: obj val: 0.588 = 0.178 (pos) + 0.184 (neg) + 0.226 (reg) Pruning easy negatives Cache holds 7759 pos examples 542 neg examples 223 pos support vectors 387 neg support vectors >>> Updating door detector <<< Cache holds 61 pos examples 1928 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .* optimization finished, #iter = 15 Objective value = -0.069311 nSV = 87 1: obj val: 0.069 = 0.048 (pos) + 0.003 (neg) + 0.019 (reg) Pruning easy negatives Cache holds 61 pos examples 320 neg examples 22 pos support vectors 51 neg support vectors >>> Updating dresser detector <<< Cache holds 1906 pos examples 2000 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .* optimization finished, #iter = 19 Objective value = -0.322226 nSV = 365 1: obj val: 0.322 = 0.081 (pos) + 0.124 (neg) + 0.118 (reg) Pruning easy negatives Cache holds 1906 pos examples 352 neg examples 113 pos support vectors 214 neg support vectors >>> Updating garbage_bin detector <<< Cache holds 466 pos examples 2000 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .* optimization finished, #iter = 16 Objective value = -0.323596 nSV = 350 1: obj val: 0.324 = 0.125 (pos) + 0.087 (neg) + 0.111 (reg) Pruning easy negatives Cache holds 466 pos examples 329 neg examples 116 pos support vectors 207 neg support vectors >>> Updating lamp detector <<< Cache holds 623 pos examples 2000 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .** optimization finished, #iter = 18 Objective value = -0.214797 nSV = 230 1: obj val: 0.215 = 0.099 (pos) + 0.046 (neg) + 0.070 (reg) Pruning easy negatives Cache holds 623 pos examples 275 neg examples 68 pos support vectors 146 neg support vectors >>> Updating monitor detector <<< Cache holds 93 pos examples 2000 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .**. optimization finished, #iter = 20 Objective value = -0.188986 nSV = 208 1: obj val: 0.189 = 0.079 (pos) + 0.035 (neg) + 0.074 (reg) Pruning easy negatives Cache holds 93 pos examples 250 neg examples 67 pos support vectors 133 neg support vectors >>> Updating night_stand detector <<< Cache holds 2389 pos examples 2000 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .* optimization finished, #iter = 16 Objective value = -0.275056 nSV = 332 1: obj val: 0.275 = 0.104 (pos) + 0.047 (neg) + 0.125 (reg) Pruning easy negatives Cache holds 2389 pos examples 355 neg examples 107 pos support vectors 190 neg support vectors >>> Updating pillow detector <<< Cache holds 2488 pos examples 2000 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .* optimization finished, #iter = 12 Objective value = -0.267254 nSV = 278 1: obj val: 0.268 = 0.104 (pos) + 0.083 (neg) + 0.080 (reg) Pruning easy negatives Cache holds 2488 pos examples 271 neg examples 92 pos support vectors 171 neg support vectors >>> Updating sink detector <<< Cache holds 1292 pos examples 2000 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .* optimization finished, #iter = 15 Objective value = -0.378580 nSV = 403 1: obj val: 0.379 = 0.150 (pos) + 0.101 (neg) + 0.128 (reg) Pruning easy negatives Cache holds 1292 pos examples 396 neg examples 129 pos support vectors 247 neg support vectors >>> Updating sofa detector <<< Cache holds 9697 pos examples 2000 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .* optimization finished, #iter = 14 Objective value = -0.227297 nSV = 268 1: obj val: 0.228 = 0.074 (pos) + 0.045 (neg) + 0.108 (reg) Pruning easy negatives Cache holds 9697 pos examples 281 neg examples 82 pos support vectors 166 neg support vectors >>> Updating table detector <<< Cache holds 14837 pos examples 1375 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .** optimization finished, #iter = 17 Objective value = -0.566191 nSV = 602 1: obj val: 0.567 = 0.194 (pos) + 0.191 (neg) + 0.182 (reg) Pruning easy negatives Cache holds 14837 pos examples 486 neg examples 212 pos support vectors 349 neg support vectors >>> Updating tv detector <<< Cache holds 438 pos examples 2000 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .* optimization finished, #iter = 15 Objective value = -0.224912 nSV = 251 1: obj val: 0.225 = 0.073 (pos) + 0.072 (neg) + 0.080 (reg) Pruning easy negatives Cache holds 438 pos examples 294 neg examples 68 pos support vectors 165 neg support vectors >>> Updating toilet detector <<< Cache holds 1856 pos examples 2000 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .* optimization finished, #iter = 14 Objective value = -0.265227 nSV = 289 1: obj val: 0.266 = 0.107 (pos) + 0.070 (neg) + 0.089 (reg) Pruning easy negatives Cache holds 1856 pos examples 266 neg examples 95 pos support vectors 175 neg support vectors hard neg epoch: 1/1 image: 2/795 hard neg epoch: 1/1 image: 3/795 hard neg epoch: 1/1 image: 4/795 hard neg epoch: 1/1 image: 5/795 hard neg epoch: 1/1 image: 6/795 hard neg epoch: 1/1 image: 7/795 hard neg epoch: 1/1 image: 8/795 hard neg epoch: 1/1 image: 9/795 hard neg epoch: 1/1 image: 10/795 hard neg epoch: 1/1 image: 11/795 hard neg epoch: 1/1 image: 12/795 hard neg epoch: 1/1 image: 13/795 hard neg epoch: 1/1 image: 14/795 hard neg epoch: 1/1 image: 15/795 hard neg epoch: 1/1 image: 16/795 hard neg epoch: 1/1 image: 17/795 hard neg epoch: 1/1 image: 18/795 hard neg epoch: 1/1 image: 19/795 hard neg epoch: 1/1 image: 20/795 >>> Updating bathtub detector <<< Cache holds 501 pos examples 5701 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .* optimization finished, #iter = 15 Objective value = -0.408477 nSV = 421 1: obj val: 0.214 = 0.101 (pos) + 0.041 (neg) + 0.072 (reg) 2: obj val: 0.409 = 0.227 (pos) + 0.075 (neg) + 0.107 (reg) Pruning easy negatives Cache holds 501 pos examples 534 neg examples 127 pos support vectors 280 neg support vectors >>> Updating bed detector <<< Cache holds 17820 pos examples 8483 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .* optimization finished, #iter = 17 Objective value = -0.801177 nSV = 824 1: obj val: 0.227 = 0.077 (pos) + 0.055 (neg) + 0.094 (reg) 2: obj val: 0.802 = 0.341 (pos) + 0.237 (neg) + 0.225 (reg) Pruning easy negatives Cache holds 17820 pos examples 723 neg examples 274 pos support vectors 490 neg support vectors >>> Updating bookshelf detector <<< Cache holds 803 pos examples 9628 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..* optimization finished, #iter = 21 Objective value = -0.723546 nSV = 709 1: obj val: 0.163 = 0.057 (pos) + 0.022 (neg) + 0.085 (reg) 2: obj val: 0.724 = 0.378 (pos) + 0.180 (neg) + 0.166 (reg) Pruning easy negatives Cache holds 803 pos examples 735 neg examples 225 pos support vectors 438 neg support vectors >>> Updating box detector <<< Cache holds 1082 pos examples 16651 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .**. optimization finished, #iter = 20 Objective value = -2.578416 nSV = 2259 1: obj val: 0.504 = 0.187 (pos) + 0.173 (neg) + 0.144 (reg) 2: obj val: 2.579 = 1.496 (pos) + 0.740 (neg) + 0.343 (reg) Pruning easy negatives Cache holds 1082 pos examples 2138 neg examples 725 pos support vectors 1483 neg support vectors >>> Updating chair detector <<< Cache holds 37041 pos examples 15985 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .*. optimization finished, #iter = 20 Objective value = -5.223862 nSV = 4470 1: obj val: 0.719 = 0.213 (pos) + 0.281 (neg) + 0.226 (reg) 2: obj val: 5.225 = 2.163 (pos) + 2.501 (neg) + 0.561 (reg) Pruning easy negatives Cache holds 37041 pos examples 3487 neg examples 1448 pos support vectors 2898 neg support vectors >>> Updating counter detector <<< Cache holds 913 pos examples 8224 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .* optimization finished, #iter = 18 Objective value = -0.782731 nSV = 798 1: obj val: 0.172 = 0.047 (pos) + 0.032 (neg) + 0.092 (reg) 2: obj val: 0.783 = 0.314 (pos) + 0.254 (neg) + 0.215 (reg) Pruning easy negatives Cache holds 913 pos examples 755 neg examples 246 pos support vectors 511 neg support vectors >>> Updating desk detector <<< Cache holds 7759 pos examples 14531 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .* optimization finished, #iter = 19 Objective value = -2.425281 nSV = 2250 1: obj val: 0.588 = 0.178 (pos) + 0.184 (neg) + 0.226 (reg) 2: obj val: 2.426 = 1.088 (pos) + 0.867 (neg) + 0.471 (reg) Pruning easy negatives Cache holds 7759 pos examples 1947 neg examples 722 pos support vectors 1446 neg support vectors >>> Updating door detector <<< Cache holds 61 pos examples 7224 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .*.* optimization finished, #iter = 21 Objective value = -0.110016 nSV = 130 1: obj val: 0.069 = 0.048 (pos) + 0.003 (neg) + 0.019 (reg) 2: obj val: 0.110 = 0.080 (pos) + 0.005 (neg) + 0.025 (reg) Pruning easy negatives Cache holds 61 pos examples 655 neg examples 32 pos support vectors 86 neg support vectors >>> Updating dresser detector <<< Cache holds 1906 pos examples 9568 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .* optimization finished, #iter = 17 Objective value = -1.133273 nSV = 1125 1: obj val: 0.322 = 0.081 (pos) + 0.124 (neg) + 0.118 (reg) 2: obj val: 1.134 = 0.432 (pos) + 0.404 (neg) + 0.298 (reg) Pruning easy negatives Cache holds 1906 pos examples 1021 neg examples 371 pos support vectors 696 neg support vectors >>> Updating garbage_bin detector <<< Cache holds 466 pos examples 8598 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .* optimization finished, #iter = 18 Objective value = -1.107346 nSV = 1035 1: obj val: 0.324 = 0.125 (pos) + 0.087 (neg) + 0.111 (reg) 2: obj val: 1.108 = 0.634 (pos) + 0.265 (neg) + 0.209 (reg) Pruning easy negatives Cache holds 466 pos examples 1116 neg examples 329 pos support vectors 644 neg support vectors >>> Updating lamp detector <<< Cache holds 623 pos examples 10029 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .* optimization finished, #iter = 19 Objective value = -0.717821 nSV = 668 1: obj val: 0.215 = 0.099 (pos) + 0.046 (neg) + 0.070 (reg) 2: obj val: 0.718 = 0.449 (pos) + 0.158 (neg) + 0.111 (reg) Pruning easy negatives Cache holds 623 pos examples 749 neg examples 208 pos support vectors 423 neg support vectors >>> Updating monitor detector <<< Cache holds 93 pos examples 10158 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .* optimization finished, #iter = 15 Objective value = -0.369283 nSV = 415 1: obj val: 0.189 = 0.079 (pos) + 0.035 (neg) + 0.074 (reg) 2: obj val: 0.371 = 0.351 (pos) + 0.010 (neg) + 0.010 (reg) Pruning easy negatives Cache holds 93 pos examples 8134 neg examples 93 pos support vectors 361 neg support vectors >>> Updating night_stand detector <<< Cache holds 2389 pos examples 10156 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .* optimization finished, #iter = 18 Objective value = -1.098965 nSV = 1047 1: obj val: 0.275 = 0.104 (pos) + 0.047 (neg) + 0.125 (reg) 2: obj val: 1.100 = 0.513 (pos) + 0.345 (neg) + 0.243 (reg) Pruning easy negatives Cache holds 2389 pos examples 987 neg examples 321 pos support vectors 720 neg support vectors >>> Updating pillow detector <<< Cache holds 2488 pos examples 12723 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .*. optimization finished, #iter = 20 Objective value = -1.532641 nSV = 1319 1: obj val: 0.268 = 0.104 (pos) + 0.083 (neg) + 0.080 (reg) 2: obj val: 1.533 = 0.751 (pos) + 0.613 (neg) + 0.169 (reg) Pruning easy negatives Cache holds 2488 pos examples 1128 neg examples 432 pos support vectors 844 neg support vectors >>> Updating sink detector <<< Cache holds 1292 pos examples 11461 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .* optimization finished, #iter = 17 Objective value = -1.267145 nSV = 1149 1: obj val: 0.379 = 0.150 (pos) + 0.101 (neg) + 0.128 (reg) 2: obj val: 1.268 = 0.715 (pos) + 0.351 (neg) + 0.202 (reg) Pruning easy negatives Cache holds 1292 pos examples 1156 neg examples 360 pos support vectors 761 neg support vectors >>> Updating sofa detector <<< Cache holds 9697 pos examples 13837 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .* optimization finished, #iter = 17 Objective value = -1.071033 nSV = 1056 1: obj val: 0.228 = 0.074 (pos) + 0.045 (neg) + 0.108 (reg) 2: obj val: 1.072 = 0.493 (pos) + 0.310 (neg) + 0.268 (reg) Pruning easy negatives Cache holds 9697 pos examples 976 neg examples 330 pos support vectors 686 neg support vectors >>> Updating table detector <<< Cache holds 14837 pos examples 18045 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .*. optimization finished, #iter = 20 Objective value = -3.565022 nSV = 3142 1: obj val: 0.567 = 0.194 (pos) + 0.191 (neg) + 0.182 (reg) 2: obj val: 3.566 = 1.687 (pos) + 1.389 (neg) + 0.490 (reg) Pruning easy negatives Cache holds 14837 pos examples 2630 neg examples 1029 pos support vectors 2013 neg support vectors >>> Updating tv detector <<< Cache holds 438 pos examples 13489 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..** optimization finished, #iter = 25 Objective value = -0.960869 nSV = 869 1: obj val: 0.225 = 0.073 (pos) + 0.072 (neg) + 0.080 (reg) 2: obj val: 0.961 = 0.562 (pos) + 0.258 (neg) + 0.141 (reg) Pruning easy negatives Cache holds 438 pos examples 932 neg examples 281 pos support vectors 522 neg support vectors >>> Updating toilet detector <<< Cache holds 1856 pos examples 4082 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .* optimization finished, #iter = 18 Objective value = -0.643233 nSV = 652 1: obj val: 0.266 = 0.107 (pos) + 0.070 (neg) + 0.089 (reg) 2: obj val: 0.644 = 0.299 (pos) + 0.176 (neg) + 0.169 (reg) Pruning easy negatives Cache holds 1856 pos examples 631 neg examples 205 pos support vectors 402 neg support vectors hard neg epoch: 1/1 image: 21/795 hard neg epoch: 1/1 image: 22/795 hard neg epoch: 1/1 image: 23/795 hard neg epoch: 1/1 image: 24/795 hard neg epoch: 1/1 image: 25/795 hard neg epoch: 1/1 image: 26/795 hard neg epoch: 1/1 image: 27/795 hard neg epoch: 1/1 image: 28/795 hard neg epoch: 1/1 image: 29/795 hard neg epoch: 1/1 image: 30/795 hard neg epoch: 1/1 image: 31/795 hard neg epoch: 1/1 image: 32/795 hard neg epoch: 1/1 image: 33/795 hard neg epoch: 1/1 image: 34/795 hard neg epoch: 1/1 image: 35/795 hard neg epoch: 1/1 image: 36/795 hard neg epoch: 1/1 image: 37/795 hard neg epoch: 1/1 image: 38/795 hard neg epoch: 1/1 image: 39/795 hard neg epoch: 1/1 image: 40/795 >>> Updating box detector <<< Cache holds 1082 pos examples 4295 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .** optimization finished, #iter = 19 Objective value = -3.080582 nSV = 2676 1: obj val: 0.504 = 0.187 (pos) + 0.173 (neg) + 0.144 (reg) 2: obj val: 2.579 = 1.496 (pos) + 0.740 (neg) + 0.343 (reg) 3: obj val: 3.081 = 2.005 (pos) + 0.712 (neg) + 0.363 (reg) Pruning easy negatives Cache holds 1082 pos examples 2654 neg examples 864 pos support vectors 1725 neg support vectors >>> Updating pillow detector <<< Cache holds 2488 pos examples 4777 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..*. optimization finished, #iter = 30 Objective value = -2.685648 nSV = 2286 1: obj val: 0.268 = 0.104 (pos) + 0.083 (neg) + 0.080 (reg) 2: obj val: 1.533 = 0.751 (pos) + 0.613 (neg) + 0.169 (reg) 3: obj val: 2.687 = 1.219 (pos) + 1.188 (neg) + 0.280 (reg) Pruning easy negatives Cache holds 2488 pos examples 1885 neg examples 727 pos support vectors 1517 neg support vectors >>> Updating sofa detector <<< Cache holds 9697 pos examples 3211 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .* optimization finished, #iter = 19 Objective value = -1.424579 nSV = 1364 1: obj val: 0.228 = 0.074 (pos) + 0.045 (neg) + 0.108 (reg) 2: obj val: 1.072 = 0.493 (pos) + 0.310 (neg) + 0.268 (reg) 3: obj val: 1.425 = 0.714 (pos) + 0.391 (neg) + 0.320 (reg) Pruning easy negatives Cache holds 9697 pos examples 1201 neg examples 441 pos support vectors 865 neg support vectors hard neg epoch: 1/1 image: 41/795 hard neg epoch: 1/1 image: 42/795 hard neg epoch: 1/1 image: 43/795 hard neg epoch: 1/1 image: 44/795 hard neg epoch: 1/1 image: 45/795 hard neg epoch: 1/1 image: 46/795 hard neg epoch: 1/1 image: 47/795 hard neg epoch: 1/1 image: 48/795 hard neg epoch: 1/1 image: 49/795 hard neg epoch: 1/1 image: 50/795 hard neg epoch: 1/1 image: 51/795 hard neg epoch: 1/1 image: 52/795 hard neg epoch: 1/1 image: 53/795 hard neg epoch: 1/1 image: 54/795 hard neg epoch: 1/1 image: 55/795 hard neg epoch: 1/1 image: 56/795 hard neg epoch: 1/1 image: 57/795 hard neg epoch: 1/1 image: 58/795 hard neg epoch: 1/1 image: 59/795 hard neg epoch: 1/1 image: 60/795 >>> Updating bed detector <<< Cache holds 17820 pos examples 2948 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .*.* optimization finished, #iter = 22 Objective value = -1.186696 nSV = 1155 1: obj val: 0.227 = 0.077 (pos) + 0.055 (neg) + 0.094 (reg) 2: obj val: 0.802 = 0.341 (pos) + 0.237 (neg) + 0.225 (reg) 3: obj val: 1.187 = 0.570 (pos) + 0.333 (neg) + 0.284 (reg) Pruning easy negatives Cache holds 17820 pos examples 1054 neg examples 384 pos support vectors 708 neg support vectors >>> Updating bookshelf detector <<< Cache holds 803 pos examples 4173 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..* optimization finished, #iter = 29 Objective value = -1.254658 nSV = 1165 1: obj val: 0.163 = 0.057 (pos) + 0.022 (neg) + 0.085 (reg) 2: obj val: 0.724 = 0.378 (pos) + 0.180 (neg) + 0.166 (reg) 3: obj val: 1.255 = 0.738 (pos) + 0.294 (neg) + 0.223 (reg) Pruning easy negatives Cache holds 803 pos examples 1162 neg examples 360 pos support vectors 768 neg support vectors >>> Updating chair detector <<< Cache holds 37041 pos examples 9585 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..* optimization finished, #iter = 24 Objective value = -8.806654 nSV = 7326 1: obj val: 0.719 = 0.213 (pos) + 0.281 (neg) + 0.226 (reg) 2: obj val: 5.225 = 2.163 (pos) + 2.501 (neg) + 0.561 (reg) 3: obj val: 8.808 = 3.950 (pos) + 4.092 (neg) + 0.766 (reg) Pruning easy negatives Cache holds 37041 pos examples 5771 neg examples 2362 pos support vectors 4817 neg support vectors >>> Updating counter detector <<< Cache holds 913 pos examples 3290 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..* optimization finished, #iter = 23 Objective value = -1.206694 nSV = 1185 1: obj val: 0.172 = 0.047 (pos) + 0.032 (neg) + 0.092 (reg) 2: obj val: 0.783 = 0.314 (pos) + 0.254 (neg) + 0.215 (reg) 3: obj val: 1.207 = 0.576 (pos) + 0.330 (neg) + 0.301 (reg) Pruning easy negatives Cache holds 913 pos examples 1172 neg examples 367 pos support vectors 800 neg support vectors >>> Updating desk detector <<< Cache holds 7759 pos examples 5349 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .* optimization finished, #iter = 19 Objective value = -3.529219 nSV = 3168 1: obj val: 0.588 = 0.178 (pos) + 0.184 (neg) + 0.226 (reg) 2: obj val: 2.426 = 1.088 (pos) + 0.867 (neg) + 0.471 (reg) 3: obj val: 3.530 = 1.787 (pos) + 1.196 (neg) + 0.547 (reg) Pruning easy negatives Cache holds 7759 pos examples 2788 neg examples 1004 pos support vectors 2079 neg support vectors >>> Updating dresser detector <<< Cache holds 1906 pos examples 4049 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..* optimization finished, #iter = 25 Objective value = -1.863605 nSV = 1759 1: obj val: 0.322 = 0.081 (pos) + 0.124 (neg) + 0.118 (reg) 2: obj val: 1.134 = 0.432 (pos) + 0.404 (neg) + 0.298 (reg) 3: obj val: 1.864 = 0.849 (pos) + 0.623 (neg) + 0.392 (reg) Pruning easy negatives Cache holds 1906 pos examples 1633 neg examples 576 pos support vectors 1099 neg support vectors >>> Updating sink detector <<< Cache holds 1292 pos examples 3405 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .*. optimization finished, #iter = 20 Objective value = -1.768716 nSV = 1558 1: obj val: 0.379 = 0.150 (pos) + 0.101 (neg) + 0.128 (reg) 2: obj val: 1.268 = 0.715 (pos) + 0.351 (neg) + 0.202 (reg) 3: obj val: 1.769 = 1.089 (pos) + 0.464 (neg) + 0.217 (reg) Pruning easy negatives Cache holds 1292 pos examples 1621 neg examples 489 pos support vectors 1018 neg support vectors >>> Updating table detector <<< Cache holds 14837 pos examples 7969 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..* optimization finished, #iter = 21 Objective value = -5.558343 nSV = 4759 1: obj val: 0.567 = 0.194 (pos) + 0.191 (neg) + 0.182 (reg) 2: obj val: 3.566 = 1.687 (pos) + 1.389 (neg) + 0.490 (reg) 3: obj val: 5.559 = 2.942 (pos) + 1.993 (neg) + 0.625 (reg) Pruning easy negatives Cache holds 14837 pos examples 4028 neg examples 1532 pos support vectors 3100 neg support vectors >>> Updating tv detector <<< Cache holds 438 pos examples 3608 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..* optimization finished, #iter = 21 Objective value = -1.334947 nSV = 1187 1: obj val: 0.225 = 0.073 (pos) + 0.072 (neg) + 0.080 (reg) 2: obj val: 0.961 = 0.562 (pos) + 0.258 (neg) + 0.141 (reg) 3: obj val: 1.336 = 0.859 (pos) + 0.310 (neg) + 0.166 (reg) Pruning easy negatives Cache holds 438 pos examples 1263 neg examples 373 pos support vectors 789 neg support vectors hard neg epoch: 1/1 image: 61/795 hard neg epoch: 1/1 image: 62/795 hard neg epoch: 1/1 image: 63/795 hard neg epoch: 1/1 image: 64/795 hard neg epoch: 1/1 image: 65/795 hard neg epoch: 1/1 image: 66/795 hard neg epoch: 1/1 image: 67/795 hard neg epoch: 1/1 image: 68/795 hard neg epoch: 1/1 image: 69/795 hard neg epoch: 1/1 image: 70/795 hard neg epoch: 1/1 image: 71/795 hard neg epoch: 1/1 image: 72/795 hard neg epoch: 1/1 image: 73/795 hard neg epoch: 1/1 image: 74/795 hard neg epoch: 1/1 image: 75/795 hard neg epoch: 1/1 image: 76/795 hard neg epoch: 1/1 image: 77/795 hard neg epoch: 1/1 image: 78/795 hard neg epoch: 1/1 image: 79/795 hard neg epoch: 1/1 image: 80/795 >>> Updating bathtub detector <<< Cache holds 501 pos examples 2553 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .*. optimization finished, #iter = 20 Objective value = -0.522146 nSV = 531 1: obj val: 0.214 = 0.101 (pos) + 0.041 (neg) + 0.072 (reg) 2: obj val: 0.409 = 0.227 (pos) + 0.075 (neg) + 0.107 (reg) 3: obj val: 0.522 = 0.325 (pos) + 0.071 (neg) + 0.127 (reg) Pruning easy negatives Cache holds 501 pos examples 718 neg examples 167 pos support vectors 315 neg support vectors >>> Updating box detector <<< Cache holds 1082 pos examples 4865 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .* optimization finished, #iter = 19 Objective value = -3.594210 nSV = 3067 1: obj val: 0.504 = 0.187 (pos) + 0.173 (neg) + 0.144 (reg) 2: obj val: 2.579 = 1.496 (pos) + 0.740 (neg) + 0.343 (reg) 3: obj val: 3.081 = 2.005 (pos) + 0.712 (neg) + 0.363 (reg) 4: obj val: 3.595 = 2.651 (pos) + 0.616 (neg) + 0.327 (reg) Pruning easy negatives Cache holds 1082 pos examples 3356 neg examples 983 pos support vectors 1928 neg support vectors >>> Updating chair detector <<< Cache holds 37041 pos examples 7822 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..** optimization finished, #iter = 25 Objective value = -10.291158 nSV = 8508 1: obj val: 0.719 = 0.213 (pos) + 0.281 (neg) + 0.226 (reg) 2: obj val: 5.225 = 2.163 (pos) + 2.501 (neg) + 0.561 (reg) 3: obj val: 8.808 = 3.950 (pos) + 4.092 (neg) + 0.766 (reg) 4: obj val: 10.293 = 4.737 (pos) + 4.766 (neg) + 0.790 (reg) Pruning easy negatives Cache holds 37041 pos examples 6665 neg examples 2737 pos support vectors 5604 neg support vectors >>> Updating garbage_bin detector <<< Cache holds 466 pos examples 3302 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .* optimization finished, #iter = 16 Objective value = -1.450696 nSV = 1301 1: obj val: 0.324 = 0.125 (pos) + 0.087 (neg) + 0.111 (reg) 2: obj val: 1.108 = 0.634 (pos) + 0.265 (neg) + 0.209 (reg) 3: obj val: 1.451 = 0.986 (pos) + 0.273 (neg) + 0.193 (reg) Pruning easy negatives Cache holds 466 pos examples 1518 neg examples 408 pos support vectors 877 neg support vectors >>> Updating night_stand detector <<< Cache holds 2389 pos examples 3665 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .** optimization finished, #iter = 19 Objective value = -1.815694 nSV = 1665 1: obj val: 0.275 = 0.104 (pos) + 0.047 (neg) + 0.125 (reg) 2: obj val: 1.100 = 0.513 (pos) + 0.345 (neg) + 0.243 (reg) 3: obj val: 1.816 = 0.982 (pos) + 0.523 (neg) + 0.311 (reg) Pruning easy negatives Cache holds 2389 pos examples 1559 neg examples 525 pos support vectors 1097 neg support vectors hard neg epoch: 1/1 image: 81/795 hard neg epoch: 1/1 image: 82/795 hard neg epoch: 1/1 image: 83/795 hard neg epoch: 1/1 image: 84/795 hard neg epoch: 1/1 image: 85/795 hard neg epoch: 1/1 image: 86/795 hard neg epoch: 1/1 image: 87/795 hard neg epoch: 1/1 image: 88/795 hard neg epoch: 1/1 image: 89/795 hard neg epoch: 1/1 image: 90/795 hard neg epoch: 1/1 image: 91/795 hard neg epoch: 1/1 image: 92/795 hard neg epoch: 1/1 image: 93/795 hard neg epoch: 1/1 image: 94/795 hard neg epoch: 1/1 image: 95/795 hard neg epoch: 1/1 image: 96/795 hard neg epoch: 1/1 image: 97/795 hard neg epoch: 1/1 image: 98/795 hard neg epoch: 1/1 image: 99/795 hard neg epoch: 1/1 image: 100/795 >>> Updating door detector <<< Cache holds 61 pos examples 2884 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .* optimization finished, #iter = 17 Objective value = -0.133816 nSV = 176 1: obj val: 0.069 = 0.048 (pos) + 0.003 (neg) + 0.019 (reg) 2: obj val: 0.110 = 0.080 (pos) + 0.005 (neg) + 0.025 (reg) 3: obj val: 0.134 = 0.097 (pos) + 0.006 (neg) + 0.031 (reg) Pruning easy negatives Cache holds 61 pos examples 781 neg examples 39 pos support vectors 77 neg support vectors >>> Updating lamp detector <<< Cache holds 623 pos examples 2755 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .* optimization finished, #iter = 18 Objective value = -1.008310 nSV = 909 1: obj val: 0.215 = 0.099 (pos) + 0.046 (neg) + 0.070 (reg) 2: obj val: 0.718 = 0.449 (pos) + 0.158 (neg) + 0.111 (reg) 3: obj val: 1.009 = 0.679 (pos) + 0.205 (neg) + 0.126 (reg) Pruning easy negatives Cache holds 623 pos examples 1053 neg examples 281 pos support vectors 587 neg support vectors >>> Updating monitor detector <<< Cache holds 93 pos examples 10392 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 *. optimization finished, #iter = 10 Objective value = -0.374100 nSV = 833 1: obj val: 0.189 = 0.079 (pos) + 0.035 (neg) + 0.074 (reg) 2: obj val: 0.371 = 0.351 (pos) + 0.010 (neg) + 0.010 (reg) 3: obj val: 0.376 = 0.366 (pos) + 0.003 (neg) + 0.007 (reg) Pruning easy negatives Cache holds 93 pos examples 10392 neg examples 93 pos support vectors 437 neg support vectors >>> Updating pillow detector <<< Cache holds 2488 pos examples 4268 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..*.* optimization finished, #iter = 32 Objective value = -4.071151 nSV = 3376 1: obj val: 0.268 = 0.104 (pos) + 0.083 (neg) + 0.080 (reg) 2: obj val: 1.533 = 0.751 (pos) + 0.613 (neg) + 0.169 (reg) 3: obj val: 2.687 = 1.219 (pos) + 1.188 (neg) + 0.280 (reg) 4: obj val: 4.073 = 1.989 (pos) + 1.757 (neg) + 0.327 (reg) Pruning easy negatives Cache holds 2488 pos examples 2861 neg examples 1075 pos support vectors 2266 neg support vectors >>> Updating toilet detector <<< Cache holds 1856 pos examples 3038 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..* optimization finished, #iter = 22 Objective value = -1.092299 nSV = 1035 1: obj val: 0.266 = 0.107 (pos) + 0.070 (neg) + 0.089 (reg) 2: obj val: 0.644 = 0.299 (pos) + 0.176 (neg) + 0.169 (reg) 3: obj val: 1.093 = 0.599 (pos) + 0.269 (neg) + 0.225 (reg) Pruning easy negatives Cache holds 1856 pos examples 974 neg examples 335 pos support vectors 630 neg support vectors hard neg epoch: 1/1 image: 101/795 hard neg epoch: 1/1 image: 102/795 hard neg epoch: 1/1 image: 103/795 hard neg epoch: 1/1 image: 104/795 hard neg epoch: 1/1 image: 105/795 hard neg epoch: 1/1 image: 106/795 hard neg epoch: 1/1 image: 107/795 hard neg epoch: 1/1 image: 108/795 hard neg epoch: 1/1 image: 109/795 hard neg epoch: 1/1 image: 110/795 hard neg epoch: 1/1 image: 111/795 hard neg epoch: 1/1 image: 112/795 hard neg epoch: 1/1 image: 113/795 hard neg epoch: 1/1 image: 114/795 hard neg epoch: 1/1 image: 115/795 hard neg epoch: 1/1 image: 116/795 hard neg epoch: 1/1 image: 117/795 hard neg epoch: 1/1 image: 118/795 hard neg epoch: 1/1 image: 119/795 hard neg epoch: 1/1 image: 120/795 >>> Updating chair detector <<< Cache holds 37041 pos examples 9306 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..* optimization finished, #iter = 23 Objective value = -12.085560 nSV = 9897 1: obj val: 0.719 = 0.213 (pos) + 0.281 (neg) + 0.226 (reg) 2: obj val: 5.225 = 2.163 (pos) + 2.501 (neg) + 0.561 (reg) 3: obj val: 8.808 = 3.950 (pos) + 4.092 (neg) + 0.766 (reg) 4: obj val: 10.293 = 4.737 (pos) + 4.766 (neg) + 0.790 (reg) 5: obj val: 12.088 = 5.942 (pos) + 5.320 (neg) + 0.826 (reg) Pruning easy negatives Cache holds 37041 pos examples 7791 neg examples 3254 pos support vectors 6407 neg support vectors >>> Updating desk detector <<< Cache holds 7759 pos examples 5629 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .*. optimization finished, #iter = 20 Objective value = -4.737156 nSV = 4127 1: obj val: 0.588 = 0.178 (pos) + 0.184 (neg) + 0.226 (reg) 2: obj val: 2.426 = 1.088 (pos) + 0.867 (neg) + 0.471 (reg) 3: obj val: 3.530 = 1.787 (pos) + 1.196 (neg) + 0.547 (reg) 4: obj val: 4.738 = 2.595 (pos) + 1.530 (neg) + 0.613 (reg) Pruning easy negatives Cache holds 7759 pos examples 3595 neg examples 1332 pos support vectors 2692 neg support vectors >>> Updating dresser detector <<< Cache holds 1906 pos examples 4284 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..** optimization finished, #iter = 26 Objective value = -2.742947 nSV = 2501 1: obj val: 0.322 = 0.081 (pos) + 0.124 (neg) + 0.118 (reg) 2: obj val: 1.134 = 0.432 (pos) + 0.404 (neg) + 0.298 (reg) 3: obj val: 1.864 = 0.849 (pos) + 0.623 (neg) + 0.392 (reg) 4: obj val: 2.743 = 1.401 (pos) + 0.851 (neg) + 0.491 (reg) Pruning easy negatives Cache holds 1906 pos examples 2300 neg examples 800 pos support vectors 1625 neg support vectors >>> Updating sofa detector <<< Cache holds 9697 pos examples 3809 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..* optimization finished, #iter = 21 Objective value = -2.015047 nSV = 1897 1: obj val: 0.228 = 0.074 (pos) + 0.045 (neg) + 0.108 (reg) 2: obj val: 1.072 = 0.493 (pos) + 0.310 (neg) + 0.268 (reg) 3: obj val: 1.425 = 0.714 (pos) + 0.391 (neg) + 0.320 (reg) 4: obj val: 2.016 = 1.061 (pos) + 0.566 (neg) + 0.388 (reg) Pruning easy negatives Cache holds 9697 pos examples 1760 neg examples 603 pos support vectors 1221 neg support vectors >>> Updating table detector <<< Cache holds 14837 pos examples 7248 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..* optimization finished, #iter = 22 Objective value = -7.026526 nSV = 5931 1: obj val: 0.567 = 0.194 (pos) + 0.191 (neg) + 0.182 (reg) 2: obj val: 3.566 = 1.687 (pos) + 1.389 (neg) + 0.490 (reg) 3: obj val: 5.559 = 2.942 (pos) + 1.993 (neg) + 0.625 (reg) 4: obj val: 7.028 = 3.976 (pos) + 2.382 (neg) + 0.669 (reg) Pruning easy negatives Cache holds 14837 pos examples 5110 neg examples 1948 pos support vectors 3812 neg support vectors hard neg epoch: 1/1 image: 121/795 hard neg epoch: 1/1 image: 122/795 hard neg epoch: 1/1 image: 123/795 hard neg epoch: 1/1 image: 124/795 hard neg epoch: 1/1 image: 125/795 hard neg epoch: 1/1 image: 126/795 hard neg epoch: 1/1 image: 127/795 hard neg epoch: 1/1 image: 128/795 hard neg epoch: 1/1 image: 129/795 hard neg epoch: 1/1 image: 130/795 hard neg epoch: 1/1 image: 131/795 hard neg epoch: 1/1 image: 132/795 hard neg epoch: 1/1 image: 133/795 hard neg epoch: 1/1 image: 134/795 hard neg epoch: 1/1 image: 135/795 hard neg epoch: 1/1 image: 136/795 hard neg epoch: 1/1 image: 137/795 hard neg epoch: 1/1 image: 138/795 hard neg epoch: 1/1 image: 139/795 hard neg epoch: 1/1 image: 140/795 >>> Updating chair detector <<< Cache holds 37041 pos examples 11185 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..* optimization finished, #iter = 25 Objective value = -14.547232 nSV = 11845 1: obj val: 0.719 = 0.213 (pos) + 0.281 (neg) + 0.226 (reg) 2: obj val: 5.225 = 2.163 (pos) + 2.501 (neg) + 0.561 (reg) 3: obj val: 8.808 = 3.950 (pos) + 4.092 (neg) + 0.766 (reg) 4: obj val: 10.293 = 4.737 (pos) + 4.766 (neg) + 0.790 (reg) 5: obj val: 12.088 = 5.942 (pos) + 5.320 (neg) + 0.826 (reg) 6: obj val: 14.550 = 7.213 (pos) + 6.395 (neg) + 0.942 (reg) Pruning easy negatives Cache holds 37041 pos examples 9405 neg examples 3818 pos support vectors 7855 neg support vectors >>> Updating sink detector <<< Cache holds 1292 pos examples 4241 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..* optimization finished, #iter = 23 Objective value = -2.350280 nSV = 2047 1: obj val: 0.379 = 0.150 (pos) + 0.101 (neg) + 0.128 (reg) 2: obj val: 1.268 = 0.715 (pos) + 0.351 (neg) + 0.202 (reg) 3: obj val: 1.769 = 1.089 (pos) + 0.464 (neg) + 0.217 (reg) 4: obj val: 2.351 = 1.496 (pos) + 0.592 (neg) + 0.263 (reg) Pruning easy negatives Cache holds 1292 pos examples 2080 neg examples 659 pos support vectors 1290 neg support vectors hard neg epoch: 1/1 image: 141/795 hard neg epoch: 1/1 image: 142/795 hard neg epoch: 1/1 image: 143/795 hard neg epoch: 1/1 image: 144/795 hard neg epoch: 1/1 image: 145/795 hard neg epoch: 1/1 image: 146/795 hard neg epoch: 1/1 image: 147/795 hard neg epoch: 1/1 image: 148/795 hard neg epoch: 1/1 image: 149/795 hard neg epoch: 1/1 image: 150/795 hard neg epoch: 1/1 image: 151/795 hard neg epoch: 1/1 image: 152/795 hard neg epoch: 1/1 image: 153/795 hard neg epoch: 1/1 image: 154/795 hard neg epoch: 1/1 image: 155/795 hard neg epoch: 1/1 image: 156/795 hard neg epoch: 1/1 image: 157/795 hard neg epoch: 1/1 image: 158/795 hard neg epoch: 1/1 image: 159/795 hard neg epoch: 1/1 image: 160/795 >>> Updating counter detector <<< Cache holds 913 pos examples 3651 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..* optimization finished, #iter = 23 Objective value = -1.725782 nSV = 1618 1: obj val: 0.172 = 0.047 (pos) + 0.032 (neg) + 0.092 (reg) 2: obj val: 0.783 = 0.314 (pos) + 0.254 (neg) + 0.215 (reg) 3: obj val: 1.207 = 0.576 (pos) + 0.330 (neg) + 0.301 (reg) 4: obj val: 1.726 = 0.993 (pos) + 0.390 (neg) + 0.343 (reg) Pruning easy negatives Cache holds 913 pos examples 1684 neg examples 513 pos support vectors 1045 neg support vectors >>> Updating desk detector <<< Cache holds 7759 pos examples 5640 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .**.* optimization finished, #iter = 21 Objective value = -5.573802 nSV = 4843 1: obj val: 0.588 = 0.178 (pos) + 0.184 (neg) + 0.226 (reg) 2: obj val: 2.426 = 1.088 (pos) + 0.867 (neg) + 0.471 (reg) 3: obj val: 3.530 = 1.787 (pos) + 1.196 (neg) + 0.547 (reg) 4: obj val: 4.738 = 2.595 (pos) + 1.530 (neg) + 0.613 (reg) 5: obj val: 5.575 = 3.210 (pos) + 1.687 (neg) + 0.679 (reg) Pruning easy negatives Cache holds 7759 pos examples 4226 neg examples 1561 pos support vectors 3118 neg support vectors >>> Updating table detector <<< Cache holds 14837 pos examples 7629 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..* optimization finished, #iter = 22 Objective value = -8.335023 nSV = 6985 1: obj val: 0.567 = 0.194 (pos) + 0.191 (neg) + 0.182 (reg) 2: obj val: 3.566 = 1.687 (pos) + 1.389 (neg) + 0.490 (reg) 3: obj val: 5.559 = 2.942 (pos) + 1.993 (neg) + 0.625 (reg) 4: obj val: 7.028 = 3.976 (pos) + 2.382 (neg) + 0.669 (reg) 5: obj val: 8.337 = 4.934 (pos) + 2.679 (neg) + 0.724 (reg) Pruning easy negatives Cache holds 14837 pos examples 6025 neg examples 2270 pos support vectors 4541 neg support vectors hard neg epoch: 1/1 image: 161/795 hard neg epoch: 1/1 image: 162/795 hard neg epoch: 1/1 image: 163/795 hard neg epoch: 1/1 image: 164/795 hard neg epoch: 1/1 image: 165/795 hard neg epoch: 1/1 image: 166/795 hard neg epoch: 1/1 image: 167/795 hard neg epoch: 1/1 image: 168/795 hard neg epoch: 1/1 image: 169/795 hard neg epoch: 1/1 image: 170/795 hard neg epoch: 1/1 image: 171/795 hard neg epoch: 1/1 image: 172/795 hard neg epoch: 1/1 image: 173/795 hard neg epoch: 1/1 image: 174/795 hard neg epoch: 1/1 image: 175/795 hard neg epoch: 1/1 image: 176/795 hard neg epoch: 1/1 image: 177/795 hard neg epoch: 1/1 image: 178/795 hard neg epoch: 1/1 image: 179/795 hard neg epoch: 1/1 image: 180/795 >>> Updating box detector <<< Cache holds 1082 pos examples 5935 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .* optimization finished, #iter = 19 Objective value = -3.942696 nSV = 3345 1: obj val: 0.504 = 0.187 (pos) + 0.173 (neg) + 0.144 (reg) 2: obj val: 2.579 = 1.496 (pos) + 0.740 (neg) + 0.343 (reg) 3: obj val: 3.081 = 2.005 (pos) + 0.712 (neg) + 0.363 (reg) 4: obj val: 3.595 = 2.651 (pos) + 0.616 (neg) + 0.327 (reg) 5: obj val: 3.945 = 3.288 (pos) + 0.408 (neg) + 0.249 (reg) Pruning easy negatives Cache holds 1082 pos examples 4667 neg examples 1046 pos support vectors 2255 neg support vectors >>> Updating chair detector <<< Cache holds 37041 pos examples 16710 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..* optimization finished, #iter = 24 Objective value = -20.080009 nSV = 16142 1: obj val: 0.719 = 0.213 (pos) + 0.281 (neg) + 0.226 (reg) 2: obj val: 5.225 = 2.163 (pos) + 2.501 (neg) + 0.561 (reg) 3: obj val: 8.808 = 3.950 (pos) + 4.092 (neg) + 0.766 (reg) 4: obj val: 10.293 = 4.737 (pos) + 4.766 (neg) + 0.790 (reg) 5: obj val: 12.088 = 5.942 (pos) + 5.320 (neg) + 0.826 (reg) 6: obj val: 14.550 = 7.213 (pos) + 6.395 (neg) + 0.942 (reg) 7: obj val: 20.083 = 10.346 (pos) + 8.679 (neg) + 1.058 (reg) Pruning easy negatives Cache holds 37041 pos examples 12746 neg examples 5245 pos support vectors 10667 neg support vectors >>> Updating desk detector <<< Cache holds 7759 pos examples 6426 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .*. optimization finished, #iter = 20 Objective value = -7.133366 nSV = 6044 1: obj val: 0.588 = 0.178 (pos) + 0.184 (neg) + 0.226 (reg) 2: obj val: 2.426 = 1.088 (pos) + 0.867 (neg) + 0.471 (reg) 3: obj val: 3.530 = 1.787 (pos) + 1.196 (neg) + 0.547 (reg) 4: obj val: 4.738 = 2.595 (pos) + 1.530 (neg) + 0.613 (reg) 5: obj val: 5.575 = 3.210 (pos) + 1.687 (neg) + 0.679 (reg) 6: obj val: 7.135 = 3.975 (pos) + 2.467 (neg) + 0.692 (reg) Pruning easy negatives Cache holds 7759 pos examples 5039 neg examples 1954 pos support vectors 3925 neg support vectors >>> Updating pillow detector <<< Cache holds 2488 pos examples 5037 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ...* optimization finished, #iter = 32 Objective value = -5.229573 nSV = 4264 1: obj val: 0.268 = 0.104 (pos) + 0.083 (neg) + 0.080 (reg) 2: obj val: 1.533 = 0.751 (pos) + 0.613 (neg) + 0.169 (reg) 3: obj val: 2.687 = 1.219 (pos) + 1.188 (neg) + 0.280 (reg) 4: obj val: 4.073 = 1.989 (pos) + 1.757 (neg) + 0.327 (reg) 5: obj val: 5.230 = 2.809 (pos) + 2.058 (neg) + 0.363 (reg) Pruning easy negatives Cache holds 2488 pos examples 3619 neg examples 1397 pos support vectors 2804 neg support vectors >>> Updating table detector <<< Cache holds 14837 pos examples 9451 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..** optimization finished, #iter = 25 Objective value = -10.041764 nSV = 8312 1: obj val: 0.567 = 0.194 (pos) + 0.191 (neg) + 0.182 (reg) 2: obj val: 3.566 = 1.687 (pos) + 1.389 (neg) + 0.490 (reg) 3: obj val: 5.559 = 2.942 (pos) + 1.993 (neg) + 0.625 (reg) 4: obj val: 7.028 = 3.976 (pos) + 2.382 (neg) + 0.669 (reg) 5: obj val: 8.337 = 4.934 (pos) + 2.679 (neg) + 0.724 (reg) 6: obj val: 10.044 = 6.016 (pos) + 3.243 (neg) + 0.785 (reg) Pruning easy negatives Cache holds 14837 pos examples 6899 neg examples 2745 pos support vectors 5323 neg support vectors hard neg epoch: 1/1 image: 181/795 hard neg epoch: 1/1 image: 182/795 hard neg epoch: 1/1 image: 183/795 hard neg epoch: 1/1 image: 184/795 hard neg epoch: 1/1 image: 185/795 hard neg epoch: 1/1 image: 186/795 hard neg epoch: 1/1 image: 187/795 hard neg epoch: 1/1 image: 188/795 hard neg epoch: 1/1 image: 189/795 hard neg epoch: 1/1 image: 190/795 hard neg epoch: 1/1 image: 191/795 hard neg epoch: 1/1 image: 192/795 hard neg epoch: 1/1 image: 193/795 hard neg epoch: 1/1 image: 194/795 hard neg epoch: 1/1 image: 195/795 hard neg epoch: 1/1 image: 196/795 hard neg epoch: 1/1 image: 197/795 hard neg epoch: 1/1 image: 198/795 hard neg epoch: 1/1 image: 199/795 hard neg epoch: 1/1 image: 200/795 >>> Updating chair detector <<< Cache holds 37041 pos examples 16707 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..* optimization finished, #iter = 23 Objective value = -23.068534 nSV = 18448 1: obj val: 0.719 = 0.213 (pos) + 0.281 (neg) + 0.226 (reg) 2: obj val: 5.225 = 2.163 (pos) + 2.501 (neg) + 0.561 (reg) 3: obj val: 8.808 = 3.950 (pos) + 4.092 (neg) + 0.766 (reg) 4: obj val: 10.293 = 4.737 (pos) + 4.766 (neg) + 0.790 (reg) 5: obj val: 12.088 = 5.942 (pos) + 5.320 (neg) + 0.826 (reg) 6: obj val: 14.550 = 7.213 (pos) + 6.395 (neg) + 0.942 (reg) 7: obj val: 20.083 = 10.346 (pos) + 8.679 (neg) + 1.058 (reg) 8: obj val: 23.072 = 12.153 (pos) + 9.826 (neg) + 1.092 (reg) Pruning easy negatives Cache holds 37041 pos examples 14590 neg examples 6005 pos support vectors 12229 neg support vectors >>> Updating night_stand detector <<< Cache holds 2389 pos examples 4242 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .**. optimization finished, #iter = 20 Objective value = -2.495529 nSV = 2211 1: obj val: 0.275 = 0.104 (pos) + 0.047 (neg) + 0.125 (reg) 2: obj val: 1.100 = 0.513 (pos) + 0.345 (neg) + 0.243 (reg) 3: obj val: 1.816 = 0.982 (pos) + 0.523 (neg) + 0.311 (reg) 4: obj val: 2.496 = 1.437 (pos) + 0.699 (neg) + 0.360 (reg) Pruning easy negatives Cache holds 2389 pos examples 2076 neg examples 708 pos support vectors 1430 neg support vectors >>> Updating sofa detector <<< Cache holds 9697 pos examples 4550 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .*. optimization finished, #iter = 20 Objective value = -3.003793 nSV = 2719 1: obj val: 0.228 = 0.074 (pos) + 0.045 (neg) + 0.108 (reg) 2: obj val: 1.072 = 0.493 (pos) + 0.310 (neg) + 0.268 (reg) 3: obj val: 1.425 = 0.714 (pos) + 0.391 (neg) + 0.320 (reg) 4: obj val: 2.016 = 1.061 (pos) + 0.566 (neg) + 0.388 (reg) 5: obj val: 3.005 = 1.607 (pos) + 0.926 (neg) + 0.471 (reg) Pruning easy negatives Cache holds 9697 pos examples 2344 neg examples 900 pos support vectors 1685 neg support vectors >>> Updating table detector <<< Cache holds 14837 pos examples 10206 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..* optimization finished, #iter = 24 Objective value = -11.796107 nSV = 9684 1: obj val: 0.567 = 0.194 (pos) + 0.191 (neg) + 0.182 (reg) 2: obj val: 3.566 = 1.687 (pos) + 1.389 (neg) + 0.490 (reg) 3: obj val: 5.559 = 2.942 (pos) + 1.993 (neg) + 0.625 (reg) 4: obj val: 7.028 = 3.976 (pos) + 2.382 (neg) + 0.669 (reg) 5: obj val: 8.337 = 4.934 (pos) + 2.679 (neg) + 0.724 (reg) 6: obj val: 10.044 = 6.016 (pos) + 3.243 (neg) + 0.785 (reg) 7: obj val: 11.798 = 7.116 (pos) + 3.863 (neg) + 0.818 (reg) Pruning easy negatives Cache holds 14837 pos examples 7943 neg examples 3176 pos support vectors 6233 neg support vectors hard neg epoch: 1/1 image: 201/795 hard neg epoch: 1/1 image: 202/795 hard neg epoch: 1/1 image: 203/795 hard neg epoch: 1/1 image: 204/795 hard neg epoch: 1/1 image: 205/795 hard neg epoch: 1/1 image: 206/795 hard neg epoch: 1/1 image: 207/795 hard neg epoch: 1/1 image: 208/795 hard neg epoch: 1/1 image: 209/795 hard neg epoch: 1/1 image: 210/795 hard neg epoch: 1/1 image: 211/795 hard neg epoch: 1/1 image: 212/795 hard neg epoch: 1/1 image: 213/795 hard neg epoch: 1/1 image: 214/795 hard neg epoch: 1/1 image: 215/795 hard neg epoch: 1/1 image: 216/795 hard neg epoch: 1/1 image: 217/795 hard neg epoch: 1/1 image: 218/795 hard neg epoch: 1/1 image: 219/795 hard neg epoch: 1/1 image: 220/795 >>> Updating bed detector <<< Cache holds 17820 pos examples 4184 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..* optimization finished, #iter = 21 Objective value = -2.027340 nSV = 1889 1: obj val: 0.227 = 0.077 (pos) + 0.055 (neg) + 0.094 (reg) 2: obj val: 0.802 = 0.341 (pos) + 0.237 (neg) + 0.225 (reg) 3: obj val: 1.187 = 0.570 (pos) + 0.333 (neg) + 0.284 (reg) 4: obj val: 2.028 = 1.009 (pos) + 0.644 (neg) + 0.376 (reg) Pruning easy negatives Cache holds 17820 pos examples 1740 neg examples 579 pos support vectors 1243 neg support vectors >>> Updating chair detector <<< Cache holds 37041 pos examples 16705 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..* optimization finished, #iter = 23 Objective value = -25.021685 nSV = 19935 1: obj val: 0.719 = 0.213 (pos) + 0.281 (neg) + 0.226 (reg) 2: obj val: 5.225 = 2.163 (pos) + 2.501 (neg) + 0.561 (reg) 3: obj val: 8.808 = 3.950 (pos) + 4.092 (neg) + 0.766 (reg) 4: obj val: 10.293 = 4.737 (pos) + 4.766 (neg) + 0.790 (reg) 5: obj val: 12.088 = 5.942 (pos) + 5.320 (neg) + 0.826 (reg) 6: obj val: 14.550 = 7.213 (pos) + 6.395 (neg) + 0.942 (reg) 7: obj val: 20.083 = 10.346 (pos) + 8.679 (neg) + 1.058 (reg) 8: obj val: 23.072 = 12.153 (pos) + 9.826 (neg) + 1.092 (reg) 9: obj val: 25.030 = 13.591 (pos) + 10.374 (neg) + 1.065 (reg) Pruning easy negatives Cache holds 37041 pos examples 15437 neg examples 6674 pos support vectors 12756 neg support vectors >>> Updating desk detector <<< Cache holds 7759 pos examples 8128 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .*. optimization finished, #iter = 20 Objective value = -8.960233 nSV = 7430 1: obj val: 0.588 = 0.178 (pos) + 0.184 (neg) + 0.226 (reg) 2: obj val: 2.426 = 1.088 (pos) + 0.867 (neg) + 0.471 (reg) 3: obj val: 3.530 = 1.787 (pos) + 1.196 (neg) + 0.547 (reg) 4: obj val: 4.738 = 2.595 (pos) + 1.530 (neg) + 0.613 (reg) 5: obj val: 5.575 = 3.210 (pos) + 1.687 (neg) + 0.679 (reg) 6: obj val: 7.135 = 3.975 (pos) + 2.467 (neg) + 0.692 (reg) 7: obj val: 8.962 = 5.185 (pos) + 3.071 (neg) + 0.705 (reg) Pruning easy negatives Cache holds 7759 pos examples 6201 neg examples 2422 pos support vectors 4834 neg support vectors >>> Updating tv detector <<< Cache holds 438 pos examples 3418 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..*** optimization finished, #iter = 25 Objective value = -1.603911 nSV = 1377 1: obj val: 0.225 = 0.073 (pos) + 0.072 (neg) + 0.080 (reg) 2: obj val: 0.961 = 0.562 (pos) + 0.258 (neg) + 0.141 (reg) 3: obj val: 1.336 = 0.859 (pos) + 0.310 (neg) + 0.166 (reg) 4: obj val: 1.605 = 1.266 (pos) + 0.215 (neg) + 0.124 (reg) Pruning easy negatives Cache holds 438 pos examples 2158 neg examples 430 pos support vectors 970 neg support vectors hard neg epoch: 1/1 image: 221/795 hard neg epoch: 1/1 image: 222/795 hard neg epoch: 1/1 image: 223/795 hard neg epoch: 1/1 image: 224/795 hard neg epoch: 1/1 image: 225/795 hard neg epoch: 1/1 image: 226/795 hard neg epoch: 1/1 image: 227/795 hard neg epoch: 1/1 image: 228/795 hard neg epoch: 1/1 image: 229/795 hard neg epoch: 1/1 image: 230/795 hard neg epoch: 1/1 image: 231/795 hard neg epoch: 1/1 image: 232/795 hard neg epoch: 1/1 image: 233/795 hard neg epoch: 1/1 image: 234/795 hard neg epoch: 1/1 image: 235/795 hard neg epoch: 1/1 image: 236/795 hard neg epoch: 1/1 image: 237/795 hard neg epoch: 1/1 image: 238/795 hard neg epoch: 1/1 image: 239/795 hard neg epoch: 1/1 image: 240/795 >>> Updating bookshelf detector <<< Cache holds 803 pos examples 3483 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..** optimization finished, #iter = 28 Objective value = -1.803289 nSV = 1597 1: obj val: 0.163 = 0.057 (pos) + 0.022 (neg) + 0.085 (reg) 2: obj val: 0.724 = 0.378 (pos) + 0.180 (neg) + 0.166 (reg) 3: obj val: 1.255 = 0.738 (pos) + 0.294 (neg) + 0.223 (reg) 4: obj val: 1.804 = 1.154 (pos) + 0.411 (neg) + 0.239 (reg) Pruning easy negatives Cache holds 803 pos examples 1669 neg examples 510 pos support vectors 1039 neg support vectors >>> Updating box detector <<< Cache holds 1082 pos examples 6978 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .* optimization finished, #iter = 19 Objective value = -4.145541 nSV = 3556 1: obj val: 0.504 = 0.187 (pos) + 0.173 (neg) + 0.144 (reg) 2: obj val: 2.579 = 1.496 (pos) + 0.740 (neg) + 0.343 (reg) 3: obj val: 3.081 = 2.005 (pos) + 0.712 (neg) + 0.363 (reg) 4: obj val: 3.595 = 2.651 (pos) + 0.616 (neg) + 0.327 (reg) 5: obj val: 3.945 = 3.288 (pos) + 0.408 (neg) + 0.249 (reg) 6: obj val: 4.150 = 3.787 (pos) + 0.204 (neg) + 0.160 (reg) Pruning easy negatives Cache holds 1082 pos examples 5980 neg examples 1077 pos support vectors 1807 neg support vectors >>> Updating dresser detector <<< Cache holds 1906 pos examples 5106 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..*** optimization finished, #iter = 26 Objective value = -3.578728 nSV = 3160 1: obj val: 0.322 = 0.081 (pos) + 0.124 (neg) + 0.118 (reg) 2: obj val: 1.134 = 0.432 (pos) + 0.404 (neg) + 0.298 (reg) 3: obj val: 1.864 = 0.849 (pos) + 0.623 (neg) + 0.392 (reg) 4: obj val: 2.743 = 1.401 (pos) + 0.851 (neg) + 0.491 (reg) 5: obj val: 3.579 = 2.023 (pos) + 1.056 (neg) + 0.500 (reg) Pruning easy negatives Cache holds 1906 pos examples 2826 neg examples 1020 pos support vectors 2059 neg support vectors >>> Updating garbage_bin detector <<< Cache holds 466 pos examples 3948 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .* optimization finished, #iter = 18 Objective value = -1.750825 nSV = 1498 1: obj val: 0.324 = 0.125 (pos) + 0.087 (neg) + 0.111 (reg) 2: obj val: 1.108 = 0.634 (pos) + 0.265 (neg) + 0.209 (reg) 3: obj val: 1.451 = 0.986 (pos) + 0.273 (neg) + 0.193 (reg) 4: obj val: 1.752 = 1.466 (pos) + 0.166 (neg) + 0.119 (reg) Pruning easy negatives Cache holds 466 pos examples 2194 neg examples 466 pos support vectors 877 neg support vectors >>> Updating table detector <<< Cache holds 14837 pos examples 10567 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..* optimization finished, #iter = 22 Objective value = -13.087383 nSV = 10693 1: obj val: 0.567 = 0.194 (pos) + 0.191 (neg) + 0.182 (reg) 2: obj val: 3.566 = 1.687 (pos) + 1.389 (neg) + 0.490 (reg) 3: obj val: 5.559 = 2.942 (pos) + 1.993 (neg) + 0.625 (reg) 4: obj val: 7.028 = 3.976 (pos) + 2.382 (neg) + 0.669 (reg) 5: obj val: 8.337 = 4.934 (pos) + 2.679 (neg) + 0.724 (reg) 6: obj val: 10.044 = 6.016 (pos) + 3.243 (neg) + 0.785 (reg) 7: obj val: 11.798 = 7.116 (pos) + 3.863 (neg) + 0.818 (reg) 8: obj val: 13.089 = 8.024 (pos) + 4.235 (neg) + 0.830 (reg) Pruning easy negatives Cache holds 14837 pos examples 9009 neg examples 3475 pos support vectors 7014 neg support vectors hard neg epoch: 1/1 image: 241/795 hard neg epoch: 1/1 image: 242/795 hard neg epoch: 1/1 image: 243/795 hard neg epoch: 1/1 image: 244/795 hard neg epoch: 1/1 image: 245/795 hard neg epoch: 1/1 image: 246/795 hard neg epoch: 1/1 image: 247/795 hard neg epoch: 1/1 image: 248/795 hard neg epoch: 1/1 image: 249/795 hard neg epoch: 1/1 image: 250/795 hard neg epoch: 1/1 image: 251/795 hard neg epoch: 1/1 image: 252/795 hard neg epoch: 1/1 image: 253/795 hard neg epoch: 1/1 image: 254/795 hard neg epoch: 1/1 image: 255/795 hard neg epoch: 1/1 image: 256/795 hard neg epoch: 1/1 image: 257/795 hard neg epoch: 1/1 image: 258/795 hard neg epoch: 1/1 image: 259/795 hard neg epoch: 1/1 image: 260/795 >>> Updating chair detector <<< Cache holds 37041 pos examples 17743 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..* optimization finished, #iter = 25 Objective value = -26.628406 nSV = 21099 1: obj val: 0.719 = 0.213 (pos) + 0.281 (neg) + 0.226 (reg) 2: obj val: 5.225 = 2.163 (pos) + 2.501 (neg) + 0.561 (reg) 3: obj val: 8.808 = 3.950 (pos) + 4.092 (neg) + 0.766 (reg) 4: obj val: 10.293 = 4.737 (pos) + 4.766 (neg) + 0.790 (reg) 5: obj val: 12.088 = 5.942 (pos) + 5.320 (neg) + 0.826 (reg) 6: obj val: 14.550 = 7.213 (pos) + 6.395 (neg) + 0.942 (reg) 7: obj val: 20.083 = 10.346 (pos) + 8.679 (neg) + 1.058 (reg) 8: obj val: 23.072 = 12.153 (pos) + 9.826 (neg) + 1.092 (reg) 9: obj val: 25.030 = 13.591 (pos) + 10.374 (neg) + 1.065 (reg) 10: obj val: 26.631 = 14.496 (pos) + 11.064 (neg) + 1.071 (reg) Pruning easy negatives Cache holds 37041 pos examples 16635 neg examples 6865 pos support vectors 13927 neg support vectors >>> Updating pillow detector <<< Cache holds 2488 pos examples 5643 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..*.* optimization finished, #iter = 36 Objective value = -6.376777 nSV = 5154 1: obj val: 0.268 = 0.104 (pos) + 0.083 (neg) + 0.080 (reg) 2: obj val: 1.533 = 0.751 (pos) + 0.613 (neg) + 0.169 (reg) 3: obj val: 2.687 = 1.219 (pos) + 1.188 (neg) + 0.280 (reg) 4: obj val: 4.073 = 1.989 (pos) + 1.757 (neg) + 0.327 (reg) 5: obj val: 5.230 = 2.809 (pos) + 2.058 (neg) + 0.363 (reg) 6: obj val: 6.378 = 3.724 (pos) + 2.278 (neg) + 0.375 (reg) Pruning easy negatives Cache holds 2488 pos examples 4350 neg examples 1702 pos support vectors 3333 neg support vectors hard neg epoch: 1/1 image: 261/795 hard neg epoch: 1/1 image: 262/795 hard neg epoch: 1/1 image: 263/795 hard neg epoch: 1/1 image: 264/795 hard neg epoch: 1/1 image: 265/795 hard neg epoch: 1/1 image: 266/795 hard neg epoch: 1/1 image: 267/795 hard neg epoch: 1/1 image: 268/795 hard neg epoch: 1/1 image: 269/795 hard neg epoch: 1/1 image: 270/795 hard neg epoch: 1/1 image: 271/795 hard neg epoch: 1/1 image: 272/795 hard neg epoch: 1/1 image: 273/795 hard neg epoch: 1/1 image: 274/795 hard neg epoch: 1/1 image: 275/795 hard neg epoch: 1/1 image: 276/795 hard neg epoch: 1/1 image: 277/795 hard neg epoch: 1/1 image: 278/795 hard neg epoch: 1/1 image: 279/795 hard neg epoch: 1/1 image: 280/795 >>> Updating desk detector <<< Cache holds 7759 pos examples 8419 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .*.* optimization finished, #iter = 21 Objective value = -10.165313 nSV = 8350 1: obj val: 0.588 = 0.178 (pos) + 0.184 (neg) + 0.226 (reg) 2: obj val: 2.426 = 1.088 (pos) + 0.867 (neg) + 0.471 (reg) 3: obj val: 3.530 = 1.787 (pos) + 1.196 (neg) + 0.547 (reg) 4: obj val: 4.738 = 2.595 (pos) + 1.530 (neg) + 0.613 (reg) 5: obj val: 5.575 = 3.210 (pos) + 1.687 (neg) + 0.679 (reg) 6: obj val: 7.135 = 3.975 (pos) + 2.467 (neg) + 0.692 (reg) 7: obj val: 8.962 = 5.185 (pos) + 3.071 (neg) + 0.705 (reg) 8: obj val: 10.167 = 6.043 (pos) + 3.388 (neg) + 0.736 (reg) Pruning easy negatives Cache holds 7759 pos examples 7041 neg examples 2707 pos support vectors 5506 neg support vectors hard neg epoch: 1/1 image: 281/795 hard neg epoch: 1/1 image: 282/795 hard neg epoch: 1/1 image: 283/795 hard neg epoch: 1/1 image: 284/795 hard neg epoch: 1/1 image: 285/795 hard neg epoch: 1/1 image: 286/795 hard neg epoch: 1/1 image: 287/795 hard neg epoch: 1/1 image: 288/795 hard neg epoch: 1/1 image: 289/795 hard neg epoch: 1/1 image: 290/795 hard neg epoch: 1/1 image: 291/795 hard neg epoch: 1/1 image: 292/795 hard neg epoch: 1/1 image: 293/795 hard neg epoch: 1/1 image: 294/795 hard neg epoch: 1/1 image: 295/795 hard neg epoch: 1/1 image: 296/795 hard neg epoch: 1/1 image: 297/795 hard neg epoch: 1/1 image: 298/795 hard neg epoch: 1/1 image: 299/795 hard neg epoch: 1/1 image: 300/795 >>> Updating chair detector <<< Cache holds 37041 pos examples 18747 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..* optimization finished, #iter = 25 Objective value = -28.098989 nSV = 22251 1: obj val: 0.719 = 0.213 (pos) + 0.281 (neg) + 0.226 (reg) 2: obj val: 5.225 = 2.163 (pos) + 2.501 (neg) + 0.561 (reg) 3: obj val: 8.808 = 3.950 (pos) + 4.092 (neg) + 0.766 (reg) 4: obj val: 10.293 = 4.737 (pos) + 4.766 (neg) + 0.790 (reg) 5: obj val: 12.088 = 5.942 (pos) + 5.320 (neg) + 0.826 (reg) 6: obj val: 14.550 = 7.213 (pos) + 6.395 (neg) + 0.942 (reg) 7: obj val: 20.083 = 10.346 (pos) + 8.679 (neg) + 1.058 (reg) 8: obj val: 23.072 = 12.153 (pos) + 9.826 (neg) + 1.092 (reg) 9: obj val: 25.030 = 13.591 (pos) + 10.374 (neg) + 1.065 (reg) 10: obj val: 26.631 = 14.496 (pos) + 11.064 (neg) + 1.071 (reg) 11: obj val: 28.102 = 15.594 (pos) + 11.431 (neg) + 1.077 (reg) Pruning easy negatives Cache holds 37041 pos examples 17570 neg examples 7259 pos support vectors 14687 neg support vectors hard neg epoch: 1/1 image: 301/795 hard neg epoch: 1/1 image: 302/795 hard neg epoch: 1/1 image: 303/795 hard neg epoch: 1/1 image: 304/795 hard neg epoch: 1/1 image: 305/795 hard neg epoch: 1/1 image: 306/795 hard neg epoch: 1/1 image: 307/795 hard neg epoch: 1/1 image: 308/795 hard neg epoch: 1/1 image: 309/795 hard neg epoch: 1/1 image: 310/795 hard neg epoch: 1/1 image: 311/795 hard neg epoch: 1/1 image: 312/795 hard neg epoch: 1/1 image: 313/795 hard neg epoch: 1/1 image: 314/795 hard neg epoch: 1/1 image: 315/795 hard neg epoch: 1/1 image: 316/795 hard neg epoch: 1/1 image: 317/795 hard neg epoch: 1/1 image: 318/795 hard neg epoch: 1/1 image: 319/795 hard neg epoch: 1/1 image: 320/795 >>> Updating bathtub detector <<< Cache holds 501 pos examples 2983 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .* optimization finished, #iter = 18 Objective value = -0.726759 nSV = 721 1: obj val: 0.214 = 0.101 (pos) + 0.041 (neg) + 0.072 (reg) 2: obj val: 0.409 = 0.227 (pos) + 0.075 (neg) + 0.107 (reg) 3: obj val: 0.522 = 0.325 (pos) + 0.071 (neg) + 0.127 (reg) 4: obj val: 0.727 = 0.470 (pos) + 0.106 (neg) + 0.151 (reg) Pruning easy negatives Cache holds 501 pos examples 927 neg examples 223 pos support vectors 420 neg support vectors >>> Updating box detector <<< Cache holds 1082 pos examples 8074 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .* optimization finished, #iter = 18 Objective value = -4.282981 nSV = 3999 1: obj val: 0.504 = 0.187 (pos) + 0.173 (neg) + 0.144 (reg) 2: obj val: 2.579 = 1.496 (pos) + 0.740 (neg) + 0.343 (reg) 3: obj val: 3.081 = 2.005 (pos) + 0.712 (neg) + 0.363 (reg) 4: obj val: 3.595 = 2.651 (pos) + 0.616 (neg) + 0.327 (reg) 5: obj val: 3.945 = 3.288 (pos) + 0.408 (neg) + 0.249 (reg) 6: obj val: 4.150 = 3.787 (pos) + 0.204 (neg) + 0.160 (reg) 7: obj val: 4.287 = 4.156 (pos) + 0.077 (neg) + 0.054 (reg) Pruning easy negatives Cache holds 1082 pos examples 8056 neg examples 1082 pos support vectors 1853 neg support vectors >>> Updating night_stand detector <<< Cache holds 2389 pos examples 4557 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .* optimization finished, #iter = 19 Objective value = -3.409512 nSV = 2932 1: obj val: 0.275 = 0.104 (pos) + 0.047 (neg) + 0.125 (reg) 2: obj val: 1.100 = 0.513 (pos) + 0.345 (neg) + 0.243 (reg) 3: obj val: 1.816 = 0.982 (pos) + 0.523 (neg) + 0.311 (reg) 4: obj val: 2.496 = 1.437 (pos) + 0.699 (neg) + 0.360 (reg) 5: obj val: 3.411 = 2.088 (pos) + 0.956 (neg) + 0.367 (reg) Pruning easy negatives Cache holds 2389 pos examples 2731 neg examples 940 pos support vectors 1944 neg support vectors >>> Updating sink detector <<< Cache holds 1292 pos examples 4167 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..* optimization finished, #iter = 21 Objective value = -2.827506 nSV = 2421 1: obj val: 0.379 = 0.150 (pos) + 0.101 (neg) + 0.128 (reg) 2: obj val: 1.268 = 0.715 (pos) + 0.351 (neg) + 0.202 (reg) 3: obj val: 1.769 = 1.089 (pos) + 0.464 (neg) + 0.217 (reg) 4: obj val: 2.351 = 1.496 (pos) + 0.592 (neg) + 0.263 (reg) 5: obj val: 2.828 = 1.901 (pos) + 0.655 (neg) + 0.273 (reg) Pruning easy negatives Cache holds 1292 pos examples 2381 neg examples 772 pos support vectors 1579 neg support vectors >>> Updating toilet detector <<< Cache holds 1856 pos examples 3767 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..*** optimization finished, #iter = 28 Objective value = -1.613079 nSV = 1473 1: obj val: 0.266 = 0.107 (pos) + 0.070 (neg) + 0.089 (reg) 2: obj val: 0.644 = 0.299 (pos) + 0.176 (neg) + 0.169 (reg) 3: obj val: 1.093 = 0.599 (pos) + 0.269 (neg) + 0.225 (reg) 4: obj val: 1.614 = 0.931 (pos) + 0.414 (neg) + 0.268 (reg) Pruning easy negatives Cache holds 1856 pos examples 1447 neg examples 479 pos support vectors 917 neg support vectors hard neg epoch: 1/1 image: 321/795 hard neg epoch: 1/1 image: 322/795 hard neg epoch: 1/1 image: 323/795 hard neg epoch: 1/1 image: 324/795 hard neg epoch: 1/1 image: 325/795 hard neg epoch: 1/1 image: 326/795 hard neg epoch: 1/1 image: 327/795 hard neg epoch: 1/1 image: 328/795 hard neg epoch: 1/1 image: 329/795 hard neg epoch: 1/1 image: 330/795 hard neg epoch: 1/1 image: 331/795 hard neg epoch: 1/1 image: 332/795 hard neg epoch: 1/1 image: 333/795 hard neg epoch: 1/1 image: 334/795 hard neg epoch: 1/1 image: 335/795 hard neg epoch: 1/1 image: 336/795 hard neg epoch: 1/1 image: 337/795 hard neg epoch: 1/1 image: 338/795 hard neg epoch: 1/1 image: 339/795 hard neg epoch: 1/1 image: 340/795 >>> Updating sofa detector <<< Cache holds 9697 pos examples 4372 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..* optimization finished, #iter = 22 Objective value = -3.793603 nSV = 3378 1: obj val: 0.228 = 0.074 (pos) + 0.045 (neg) + 0.108 (reg) 2: obj val: 1.072 = 0.493 (pos) + 0.310 (neg) + 0.268 (reg) 3: obj val: 1.425 = 0.714 (pos) + 0.391 (neg) + 0.320 (reg) 4: obj val: 2.016 = 1.061 (pos) + 0.566 (neg) + 0.388 (reg) 5: obj val: 3.005 = 1.607 (pos) + 0.926 (neg) + 0.471 (reg) 6: obj val: 3.794 = 2.048 (pos) + 1.204 (neg) + 0.542 (reg) Pruning easy negatives Cache holds 9697 pos examples 2948 neg examples 1082 pos support vectors 2190 neg support vectors >>> Updating table detector <<< Cache holds 14837 pos examples 11688 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..** optimization finished, #iter = 25 Objective value = -14.572428 nSV = 11832 1: obj val: 0.567 = 0.194 (pos) + 0.191 (neg) + 0.182 (reg) 2: obj val: 3.566 = 1.687 (pos) + 1.389 (neg) + 0.490 (reg) 3: obj val: 5.559 = 2.942 (pos) + 1.993 (neg) + 0.625 (reg) 4: obj val: 7.028 = 3.976 (pos) + 2.382 (neg) + 0.669 (reg) 5: obj val: 8.337 = 4.934 (pos) + 2.679 (neg) + 0.724 (reg) 6: obj val: 10.044 = 6.016 (pos) + 3.243 (neg) + 0.785 (reg) 7: obj val: 11.798 = 7.116 (pos) + 3.863 (neg) + 0.818 (reg) 8: obj val: 13.089 = 8.024 (pos) + 4.235 (neg) + 0.830 (reg) 9: obj val: 14.575 = 9.085 (pos) + 4.630 (neg) + 0.860 (reg) Pruning easy negatives Cache holds 14837 pos examples 10012 neg examples 3902 pos support vectors 7584 neg support vectors hard neg epoch: 1/1 image: 341/795 hard neg epoch: 1/1 image: 342/795 hard neg epoch: 1/1 image: 343/795 hard neg epoch: 1/1 image: 344/795 hard neg epoch: 1/1 image: 345/795 hard neg epoch: 1/1 image: 346/795 hard neg epoch: 1/1 image: 347/795 hard neg epoch: 1/1 image: 348/795 hard neg epoch: 1/1 image: 349/795 hard neg epoch: 1/1 image: 350/795 hard neg epoch: 1/1 image: 351/795 hard neg epoch: 1/1 image: 352/795 hard neg epoch: 1/1 image: 353/795 hard neg epoch: 1/1 image: 354/795 hard neg epoch: 1/1 image: 355/795 hard neg epoch: 1/1 image: 356/795 hard neg epoch: 1/1 image: 357/795 hard neg epoch: 1/1 image: 358/795 hard neg epoch: 1/1 image: 359/795 hard neg epoch: 1/1 image: 360/795 >>> Updating chair detector <<< Cache holds 37041 pos examples 20005 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..*** optimization finished, #iter = 29 Objective value = -29.822222 nSV = 23548 1: obj val: 0.719 = 0.213 (pos) + 0.281 (neg) + 0.226 (reg) 2: obj val: 5.225 = 2.163 (pos) + 2.501 (neg) + 0.561 (reg) 3: obj val: 8.808 = 3.950 (pos) + 4.092 (neg) + 0.766 (reg) 4: obj val: 10.293 = 4.737 (pos) + 4.766 (neg) + 0.790 (reg) 5: obj val: 12.088 = 5.942 (pos) + 5.320 (neg) + 0.826 (reg) 6: obj val: 14.550 = 7.213 (pos) + 6.395 (neg) + 0.942 (reg) 7: obj val: 20.083 = 10.346 (pos) + 8.679 (neg) + 1.058 (reg) 8: obj val: 23.072 = 12.153 (pos) + 9.826 (neg) + 1.092 (reg) 9: obj val: 25.030 = 13.591 (pos) + 10.374 (neg) + 1.065 (reg) 10: obj val: 26.631 = 14.496 (pos) + 11.064 (neg) + 1.071 (reg) 11: obj val: 28.102 = 15.594 (pos) + 11.431 (neg) + 1.077 (reg) 12: obj val: 29.824 = 16.811 (pos) + 11.925 (neg) + 1.088 (reg) Pruning easy negatives Cache holds 37041 pos examples 18535 neg examples 7730 pos support vectors 15406 neg support vectors >>> Updating counter detector <<< Cache holds 913 pos examples 3767 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..* optimization finished, #iter = 25 Objective value = -2.207324 nSV = 1966 1: obj val: 0.172 = 0.047 (pos) + 0.032 (neg) + 0.092 (reg) 2: obj val: 0.783 = 0.314 (pos) + 0.254 (neg) + 0.215 (reg) 3: obj val: 1.207 = 0.576 (pos) + 0.330 (neg) + 0.301 (reg) 4: obj val: 1.726 = 0.993 (pos) + 0.390 (neg) + 0.343 (reg) 5: obj val: 2.208 = 1.392 (pos) + 0.496 (neg) + 0.320 (reg) Pruning easy negatives Cache holds 913 pos examples 1979 neg examples 630 pos support vectors 1291 neg support vectors >>> Updating dresser detector <<< Cache holds 1906 pos examples 4917 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..* optimization finished, #iter = 26 Objective value = -4.439649 nSV = 3832 1: obj val: 0.322 = 0.081 (pos) + 0.124 (neg) + 0.118 (reg) 2: obj val: 1.134 = 0.432 (pos) + 0.404 (neg) + 0.298 (reg) 3: obj val: 1.864 = 0.849 (pos) + 0.623 (neg) + 0.392 (reg) 4: obj val: 2.743 = 1.401 (pos) + 0.851 (neg) + 0.491 (reg) 5: obj val: 3.579 = 2.023 (pos) + 1.056 (neg) + 0.500 (reg) 6: obj val: 4.440 = 2.665 (pos) + 1.262 (neg) + 0.514 (reg) Pruning easy negatives Cache holds 1906 pos examples 3443 neg examples 1240 pos support vectors 2480 neg support vectors hard neg epoch: 1/1 image: 361/795 hard neg epoch: 1/1 image: 362/795 hard neg epoch: 1/1 image: 363/795 hard neg epoch: 1/1 image: 364/795 hard neg epoch: 1/1 image: 365/795 hard neg epoch: 1/1 image: 366/795 hard neg epoch: 1/1 image: 367/795 hard neg epoch: 1/1 image: 368/795 hard neg epoch: 1/1 image: 369/795 hard neg epoch: 1/1 image: 370/795 hard neg epoch: 1/1 image: 371/795 hard neg epoch: 1/1 image: 372/795 hard neg epoch: 1/1 image: 373/795 hard neg epoch: 1/1 image: 374/795 hard neg epoch: 1/1 image: 375/795 hard neg epoch: 1/1 image: 376/795 hard neg epoch: 1/1 image: 377/795 hard neg epoch: 1/1 image: 378/795 hard neg epoch: 1/1 image: 379/795 hard neg epoch: 1/1 image: 380/795 >>> Updating pillow detector <<< Cache holds 2488 pos examples 6429 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..*.** optimization finished, #iter = 33 Objective value = -7.598812 nSV = 6096 1: obj val: 0.268 = 0.104 (pos) + 0.083 (neg) + 0.080 (reg) 2: obj val: 1.533 = 0.751 (pos) + 0.613 (neg) + 0.169 (reg) 3: obj val: 2.687 = 1.219 (pos) + 1.188 (neg) + 0.280 (reg) 4: obj val: 4.073 = 1.989 (pos) + 1.757 (neg) + 0.327 (reg) 5: obj val: 5.230 = 2.809 (pos) + 2.058 (neg) + 0.363 (reg) 6: obj val: 6.378 = 3.724 (pos) + 2.278 (neg) + 0.375 (reg) 7: obj val: 7.600 = 4.726 (pos) + 2.501 (neg) + 0.373 (reg) Pruning easy negatives Cache holds 2488 pos examples 5296 neg examples 1982 pos support vectors 4089 neg support vectors hard neg epoch: 1/1 image: 381/795 hard neg epoch: 1/1 image: 382/795 hard neg epoch: 1/1 image: 383/795 hard neg epoch: 1/1 image: 384/795 hard neg epoch: 1/1 image: 385/795 hard neg epoch: 1/1 image: 386/795 hard neg epoch: 1/1 image: 387/795 hard neg epoch: 1/1 image: 388/795 hard neg epoch: 1/1 image: 389/795 hard neg epoch: 1/1 image: 390/795 hard neg epoch: 1/1 image: 391/795 hard neg epoch: 1/1 image: 392/795 hard neg epoch: 1/1 image: 393/795 hard neg epoch: 1/1 image: 394/795 hard neg epoch: 1/1 image: 395/795 hard neg epoch: 1/1 image: 396/795 hard neg epoch: 1/1 image: 397/795 hard neg epoch: 1/1 image: 398/795 hard neg epoch: 1/1 image: 399/795 hard neg epoch: 1/1 image: 400/795 >>> Updating desk detector <<< Cache holds 7759 pos examples 9228 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..* optimization finished, #iter = 21 Objective value = -11.319851 nSV = 9287 1: obj val: 0.588 = 0.178 (pos) + 0.184 (neg) + 0.226 (reg) 2: obj val: 2.426 = 1.088 (pos) + 0.867 (neg) + 0.471 (reg) 3: obj val: 3.530 = 1.787 (pos) + 1.196 (neg) + 0.547 (reg) 4: obj val: 4.738 = 2.595 (pos) + 1.530 (neg) + 0.613 (reg) 5: obj val: 5.575 = 3.210 (pos) + 1.687 (neg) + 0.679 (reg) 6: obj val: 7.135 = 3.975 (pos) + 2.467 (neg) + 0.692 (reg) 7: obj val: 8.962 = 5.185 (pos) + 3.071 (neg) + 0.705 (reg) 8: obj val: 10.167 = 6.043 (pos) + 3.388 (neg) + 0.736 (reg) 9: obj val: 11.323 = 6.960 (pos) + 3.614 (neg) + 0.749 (reg) Pruning easy negatives Cache holds 7759 pos examples 7766 neg examples 3052 pos support vectors 5927 neg support vectors >>> Updating garbage_bin detector <<< Cache holds 466 pos examples 4434 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .* optimization finished, #iter = 17 Objective value = -1.853893 nSV = 1912 1: obj val: 0.324 = 0.125 (pos) + 0.087 (neg) + 0.111 (reg) 2: obj val: 1.108 = 0.634 (pos) + 0.265 (neg) + 0.209 (reg) 3: obj val: 1.451 = 0.986 (pos) + 0.273 (neg) + 0.193 (reg) 4: obj val: 1.752 = 1.466 (pos) + 0.166 (neg) + 0.119 (reg) 5: obj val: 1.859 = 1.801 (pos) + 0.039 (neg) + 0.019 (reg) Pruning easy negatives Cache holds 466 pos examples 4434 neg examples 466 pos support vectors 1516 neg support vectors hard neg epoch: 1/1 image: 401/795 hard neg epoch: 1/1 image: 402/795 hard neg epoch: 1/1 image: 403/795 hard neg epoch: 1/1 image: 404/795 hard neg epoch: 1/1 image: 405/795 hard neg epoch: 1/1 image: 406/795 hard neg epoch: 1/1 image: 407/795 hard neg epoch: 1/1 image: 408/795 hard neg epoch: 1/1 image: 409/795 hard neg epoch: 1/1 image: 410/795 hard neg epoch: 1/1 image: 411/795 hard neg epoch: 1/1 image: 412/795 hard neg epoch: 1/1 image: 413/795 hard neg epoch: 1/1 image: 414/795 hard neg epoch: 1/1 image: 415/795 hard neg epoch: 1/1 image: 416/795 hard neg epoch: 1/1 image: 417/795 hard neg epoch: 1/1 image: 418/795 hard neg epoch: 1/1 image: 419/795 hard neg epoch: 1/1 image: 420/795 >>> Updating bed detector <<< Cache holds 17820 pos examples 3788 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .*. optimization finished, #iter = 20 Objective value = -2.733774 nSV = 2487 1: obj val: 0.227 = 0.077 (pos) + 0.055 (neg) + 0.094 (reg) 2: obj val: 0.802 = 0.341 (pos) + 0.237 (neg) + 0.225 (reg) 3: obj val: 1.187 = 0.570 (pos) + 0.333 (neg) + 0.284 (reg) 4: obj val: 2.028 = 1.009 (pos) + 0.644 (neg) + 0.376 (reg) 5: obj val: 2.735 = 1.405 (pos) + 0.890 (neg) + 0.440 (reg) Pruning easy negatives Cache holds 17820 pos examples 2238 neg examples 800 pos support vectors 1597 neg support vectors >>> Updating door detector <<< Cache holds 61 pos examples 2836 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ...** optimization finished, #iter = 39 Objective value = -0.171261 nSV = 190 1: obj val: 0.069 = 0.048 (pos) + 0.003 (neg) + 0.019 (reg) 2: obj val: 0.110 = 0.080 (pos) + 0.005 (neg) + 0.025 (reg) 3: obj val: 0.134 = 0.097 (pos) + 0.006 (neg) + 0.031 (reg) 4: obj val: 0.171 = 0.121 (pos) + 0.012 (neg) + 0.038 (reg) Pruning easy negatives Cache holds 61 pos examples 788 neg examples 50 pos support vectors 135 neg support vectors hard neg epoch: 1/1 image: 421/795 hard neg epoch: 1/1 image: 422/795 hard neg epoch: 1/1 image: 423/795 hard neg epoch: 1/1 image: 424/795 hard neg epoch: 1/1 image: 425/795 hard neg epoch: 1/1 image: 426/795 hard neg epoch: 1/1 image: 427/795 hard neg epoch: 1/1 image: 428/795 hard neg epoch: 1/1 image: 429/795 hard neg epoch: 1/1 image: 430/795 hard neg epoch: 1/1 image: 431/795 hard neg epoch: 1/1 image: 432/795 hard neg epoch: 1/1 image: 433/795 hard neg epoch: 1/1 image: 434/795 hard neg epoch: 1/1 image: 435/795 hard neg epoch: 1/1 image: 436/795 hard neg epoch: 1/1 image: 437/795 hard neg epoch: 1/1 image: 438/795 hard neg epoch: 1/1 image: 439/795 hard neg epoch: 1/1 image: 440/795 >>> Updating box detector <<< Cache holds 1082 pos examples 10157 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .* optimization finished, #iter = 15 Objective value = -4.307844 nSV = 4741 1: obj val: 0.504 = 0.187 (pos) + 0.173 (neg) + 0.144 (reg) 2: obj val: 2.579 = 1.496 (pos) + 0.740 (neg) + 0.343 (reg) 3: obj val: 3.081 = 2.005 (pos) + 0.712 (neg) + 0.363 (reg) 4: obj val: 3.595 = 2.651 (pos) + 0.616 (neg) + 0.327 (reg) 5: obj val: 3.945 = 3.288 (pos) + 0.408 (neg) + 0.249 (reg) 6: obj val: 4.150 = 3.787 (pos) + 0.204 (neg) + 0.160 (reg) 7: obj val: 4.287 = 4.156 (pos) + 0.077 (neg) + 0.054 (reg) 8: obj val: 4.343 = 4.199 (pos) + 0.114 (neg) + 0.029 (reg) Pruning easy negatives Cache holds 1082 pos examples 10157 neg examples 1082 pos support vectors 4969 neg support vectors >>> Updating chair detector <<< Cache holds 37041 pos examples 20851 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..* optimization finished, #iter = 25 Objective value = -31.402641 nSV = 24805 1: obj val: 0.719 = 0.213 (pos) + 0.281 (neg) + 0.226 (reg) 2: obj val: 5.225 = 2.163 (pos) + 2.501 (neg) + 0.561 (reg) 3: obj val: 8.808 = 3.950 (pos) + 4.092 (neg) + 0.766 (reg) 4: obj val: 10.293 = 4.737 (pos) + 4.766 (neg) + 0.790 (reg) 5: obj val: 12.088 = 5.942 (pos) + 5.320 (neg) + 0.826 (reg) 6: obj val: 14.550 = 7.213 (pos) + 6.395 (neg) + 0.942 (reg) 7: obj val: 20.083 = 10.346 (pos) + 8.679 (neg) + 1.058 (reg) 8: obj val: 23.072 = 12.153 (pos) + 9.826 (neg) + 1.092 (reg) 9: obj val: 25.030 = 13.591 (pos) + 10.374 (neg) + 1.065 (reg) 10: obj val: 26.631 = 14.496 (pos) + 11.064 (neg) + 1.071 (reg) 11: obj val: 28.102 = 15.594 (pos) + 11.431 (neg) + 1.077 (reg) 12: obj val: 29.824 = 16.811 (pos) + 11.925 (neg) + 1.088 (reg) 13: obj val: 31.406 = 17.908 (pos) + 12.385 (neg) + 1.113 (reg) Pruning easy negatives Cache holds 37041 pos examples 19768 neg examples 8124 pos support vectors 16255 neg support vectors >>> Updating table detector <<< Cache holds 14837 pos examples 12035 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..* optimization finished, #iter = 23 Objective value = -15.783553 nSV = 12813 1: obj val: 0.567 = 0.194 (pos) + 0.191 (neg) + 0.182 (reg) 2: obj val: 3.566 = 1.687 (pos) + 1.389 (neg) + 0.490 (reg) 3: obj val: 5.559 = 2.942 (pos) + 1.993 (neg) + 0.625 (reg) 4: obj val: 7.028 = 3.976 (pos) + 2.382 (neg) + 0.669 (reg) 5: obj val: 8.337 = 4.934 (pos) + 2.679 (neg) + 0.724 (reg) 6: obj val: 10.044 = 6.016 (pos) + 3.243 (neg) + 0.785 (reg) 7: obj val: 11.798 = 7.116 (pos) + 3.863 (neg) + 0.818 (reg) 8: obj val: 13.089 = 8.024 (pos) + 4.235 (neg) + 0.830 (reg) 9: obj val: 14.575 = 9.085 (pos) + 4.630 (neg) + 0.860 (reg) 10: obj val: 15.786 = 9.835 (pos) + 5.037 (neg) + 0.914 (reg) Pruning easy negatives Cache holds 14837 pos examples 10937 neg examples 4155 pos support vectors 8473 neg support vectors hard neg epoch: 1/1 image: 441/795 hard neg epoch: 1/1 image: 442/795 hard neg epoch: 1/1 image: 443/795 hard neg epoch: 1/1 image: 444/795 hard neg epoch: 1/1 image: 445/795 hard neg epoch: 1/1 image: 446/795 hard neg epoch: 1/1 image: 447/795 hard neg epoch: 1/1 image: 448/795 hard neg epoch: 1/1 image: 449/795 hard neg epoch: 1/1 image: 450/795 hard neg epoch: 1/1 image: 451/795 hard neg epoch: 1/1 image: 452/795 hard neg epoch: 1/1 image: 453/795 hard neg epoch: 1/1 image: 454/795 hard neg epoch: 1/1 image: 455/795 hard neg epoch: 1/1 image: 456/795 hard neg epoch: 1/1 image: 457/795 hard neg epoch: 1/1 image: 458/795 hard neg epoch: 1/1 image: 459/795 hard neg epoch: 1/1 image: 460/795 hard neg epoch: 1/1 image: 461/795 hard neg epoch: 1/1 image: 462/795 hard neg epoch: 1/1 image: 463/795 hard neg epoch: 1/1 image: 464/795 hard neg epoch: 1/1 image: 465/795 hard neg epoch: 1/1 image: 466/795 hard neg epoch: 1/1 image: 467/795 hard neg epoch: 1/1 image: 468/795 hard neg epoch: 1/1 image: 469/795 hard neg epoch: 1/1 image: 470/795 hard neg epoch: 1/1 image: 471/795 hard neg epoch: 1/1 image: 472/795 hard neg epoch: 1/1 image: 473/795 hard neg epoch: 1/1 image: 474/795 hard neg epoch: 1/1 image: 475/795 hard neg epoch: 1/1 image: 476/795 hard neg epoch: 1/1 image: 477/795 hard neg epoch: 1/1 image: 478/795 hard neg epoch: 1/1 image: 479/795 hard neg epoch: 1/1 image: 480/795 hard neg epoch: 1/1 image: 481/795 hard neg epoch: 1/1 image: 482/795 hard neg epoch: 1/1 image: 483/795 hard neg epoch: 1/1 image: 484/795 hard neg epoch: 1/1 image: 485/795 hard neg epoch: 1/1 image: 486/795 hard neg epoch: 1/1 image: 487/795 hard neg epoch: 1/1 image: 488/795 hard neg epoch: 1/1 image: 489/795 hard neg epoch: 1/1 image: 490/795 hard neg epoch: 1/1 image: 491/795 hard neg epoch: 1/1 image: 492/795 hard neg epoch: 1/1 image: 493/795 hard neg epoch: 1/1 image: 494/795 hard neg epoch: 1/1 image: 495/795 hard neg epoch: 1/1 image: 496/795 hard neg epoch: 1/1 image: 497/795 hard neg epoch: 1/1 image: 498/795 hard neg epoch: 1/1 image: 499/795 hard neg epoch: 1/1 image: 500/795 >>> Updating chair detector <<< Cache holds 37041 pos examples 22017 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..* optimization finished, #iter = 26 Objective value = -33.142796 nSV = 26110 1: obj val: 0.719 = 0.213 (pos) + 0.281 (neg) + 0.226 (reg) 2: obj val: 5.225 = 2.163 (pos) + 2.501 (neg) + 0.561 (reg) 3: obj val: 8.808 = 3.950 (pos) + 4.092 (neg) + 0.766 (reg) 4: obj val: 10.293 = 4.737 (pos) + 4.766 (neg) + 0.790 (reg) 5: obj val: 12.088 = 5.942 (pos) + 5.320 (neg) + 0.826 (reg) 6: obj val: 14.550 = 7.213 (pos) + 6.395 (neg) + 0.942 (reg) 7: obj val: 20.083 = 10.346 (pos) + 8.679 (neg) + 1.058 (reg) 8: obj val: 23.072 = 12.153 (pos) + 9.826 (neg) + 1.092 (reg) 9: obj val: 25.030 = 13.591 (pos) + 10.374 (neg) + 1.065 (reg) 10: obj val: 26.631 = 14.496 (pos) + 11.064 (neg) + 1.071 (reg) 11: obj val: 28.102 = 15.594 (pos) + 11.431 (neg) + 1.077 (reg) 12: obj val: 29.824 = 16.811 (pos) + 11.925 (neg) + 1.088 (reg) 13: obj val: 31.406 = 17.908 (pos) + 12.385 (neg) + 1.113 (reg) 14: obj val: 33.146 = 19.158 (pos) + 12.881 (neg) + 1.107 (reg) Pruning easy negatives Cache holds 37041 pos examples 20883 neg examples 8588 pos support vectors 17041 neg support vectors >>> Updating dresser detector <<< Cache holds 1906 pos examples 5594 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..* optimization finished, #iter = 23 Objective value = -5.163194 nSV = 4403 1: obj val: 0.322 = 0.081 (pos) + 0.124 (neg) + 0.118 (reg) 2: obj val: 1.134 = 0.432 (pos) + 0.404 (neg) + 0.298 (reg) 3: obj val: 1.864 = 0.849 (pos) + 0.623 (neg) + 0.392 (reg) 4: obj val: 2.743 = 1.401 (pos) + 0.851 (neg) + 0.491 (reg) 5: obj val: 3.579 = 2.023 (pos) + 1.056 (neg) + 0.500 (reg) 6: obj val: 4.440 = 2.665 (pos) + 1.262 (neg) + 0.514 (reg) 7: obj val: 5.164 = 3.412 (pos) + 1.240 (neg) + 0.512 (reg) Pruning easy negatives Cache holds 1906 pos examples 4015 neg examples 1428 pos support vectors 2783 neg support vectors >>> Updating lamp detector <<< Cache holds 623 pos examples 3083 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..** optimization finished, #iter = 26 Objective value = -1.367696 nSV = 1197 1: obj val: 0.215 = 0.099 (pos) + 0.046 (neg) + 0.070 (reg) 2: obj val: 0.718 = 0.449 (pos) + 0.158 (neg) + 0.111 (reg) 3: obj val: 1.009 = 0.679 (pos) + 0.205 (neg) + 0.126 (reg) 4: obj val: 1.368 = 0.966 (pos) + 0.262 (neg) + 0.140 (reg) Pruning easy negatives Cache holds 623 pos examples 1445 neg examples 380 pos support vectors 750 neg support vectors hard neg epoch: 1/1 image: 501/795 hard neg epoch: 1/1 image: 502/795 hard neg epoch: 1/1 image: 503/795 hard neg epoch: 1/1 image: 504/795 hard neg epoch: 1/1 image: 505/795 hard neg epoch: 1/1 image: 506/795 hard neg epoch: 1/1 image: 507/795 hard neg epoch: 1/1 image: 508/795 hard neg epoch: 1/1 image: 509/795 hard neg epoch: 1/1 image: 510/795 hard neg epoch: 1/1 image: 511/795 hard neg epoch: 1/1 image: 512/795 hard neg epoch: 1/1 image: 513/795 hard neg epoch: 1/1 image: 514/795 hard neg epoch: 1/1 image: 515/795 hard neg epoch: 1/1 image: 516/795 hard neg epoch: 1/1 image: 517/795 hard neg epoch: 1/1 image: 518/795 hard neg epoch: 1/1 image: 519/795 hard neg epoch: 1/1 image: 520/795 >>> Updating box detector <<< Cache holds 1082 pos examples 12414 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .* optimization finished, #iter = 14 Objective value = -4.310906 nSV = 5314 1: obj val: 0.504 = 0.187 (pos) + 0.173 (neg) + 0.144 (reg) 2: obj val: 2.579 = 1.496 (pos) + 0.740 (neg) + 0.343 (reg) 3: obj val: 3.081 = 2.005 (pos) + 0.712 (neg) + 0.363 (reg) 4: obj val: 3.595 = 2.651 (pos) + 0.616 (neg) + 0.327 (reg) 5: obj val: 3.945 = 3.288 (pos) + 0.408 (neg) + 0.249 (reg) 6: obj val: 4.150 = 3.787 (pos) + 0.204 (neg) + 0.160 (reg) 7: obj val: 4.287 = 4.156 (pos) + 0.077 (neg) + 0.054 (reg) 8: obj val: 4.343 = 4.199 (pos) + 0.114 (neg) + 0.029 (reg) 9: obj val: 4.320 = 4.265 (pos) + 0.028 (neg) + 0.027 (reg) Pruning easy negatives Cache holds 1082 pos examples 12414 neg examples 1082 pos support vectors 1631 neg support vectors >>> Updating counter detector <<< Cache holds 913 pos examples 4031 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..* optimization finished, #iter = 22 Objective value = -2.622063 nSV = 2334 1: obj val: 0.172 = 0.047 (pos) + 0.032 (neg) + 0.092 (reg) 2: obj val: 0.783 = 0.314 (pos) + 0.254 (neg) + 0.215 (reg) 3: obj val: 1.207 = 0.576 (pos) + 0.330 (neg) + 0.301 (reg) 4: obj val: 1.726 = 0.993 (pos) + 0.390 (neg) + 0.343 (reg) 5: obj val: 2.208 = 1.392 (pos) + 0.496 (neg) + 0.320 (reg) 6: obj val: 2.624 = 1.802 (pos) + 0.500 (neg) + 0.322 (reg) Pruning easy negatives Cache holds 913 pos examples 2528 neg examples 720 pos support vectors 1592 neg support vectors >>> Updating sink detector <<< Cache holds 1292 pos examples 4419 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..** optimization finished, #iter = 27 Objective value = -3.408747 nSV = 2867 1: obj val: 0.379 = 0.150 (pos) + 0.101 (neg) + 0.128 (reg) 2: obj val: 1.268 = 0.715 (pos) + 0.351 (neg) + 0.202 (reg) 3: obj val: 1.769 = 1.089 (pos) + 0.464 (neg) + 0.217 (reg) 4: obj val: 2.351 = 1.496 (pos) + 0.592 (neg) + 0.263 (reg) 5: obj val: 2.828 = 1.901 (pos) + 0.655 (neg) + 0.273 (reg) 6: obj val: 3.409 = 2.410 (pos) + 0.717 (neg) + 0.283 (reg) Pruning easy negatives Cache holds 1292 pos examples 2867 neg examples 921 pos support vectors 1837 neg support vectors hard neg epoch: 1/1 image: 521/795 hard neg epoch: 1/1 image: 522/795 hard neg epoch: 1/1 image: 523/795 hard neg epoch: 1/1 image: 524/795 hard neg epoch: 1/1 image: 525/795 hard neg epoch: 1/1 image: 526/795 hard neg epoch: 1/1 image: 527/795 hard neg epoch: 1/1 image: 528/795 hard neg epoch: 1/1 image: 529/795 hard neg epoch: 1/1 image: 530/795 hard neg epoch: 1/1 image: 531/795 hard neg epoch: 1/1 image: 532/795 hard neg epoch: 1/1 image: 533/795 hard neg epoch: 1/1 image: 534/795 hard neg epoch: 1/1 image: 535/795 hard neg epoch: 1/1 image: 536/795 hard neg epoch: 1/1 image: 537/795 hard neg epoch: 1/1 image: 538/795 hard neg epoch: 1/1 image: 539/795 hard neg epoch: 1/1 image: 540/795 >>> Updating desk detector <<< Cache holds 7759 pos examples 9824 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..* optimization finished, #iter = 24 Objective value = -12.283759 nSV = 9994 1: obj val: 0.588 = 0.178 (pos) + 0.184 (neg) + 0.226 (reg) 2: obj val: 2.426 = 1.088 (pos) + 0.867 (neg) + 0.471 (reg) 3: obj val: 3.530 = 1.787 (pos) + 1.196 (neg) + 0.547 (reg) 4: obj val: 4.738 = 2.595 (pos) + 1.530 (neg) + 0.613 (reg) 5: obj val: 5.575 = 3.210 (pos) + 1.687 (neg) + 0.679 (reg) 6: obj val: 7.135 = 3.975 (pos) + 2.467 (neg) + 0.692 (reg) 7: obj val: 8.962 = 5.185 (pos) + 3.071 (neg) + 0.705 (reg) 8: obj val: 10.167 = 6.043 (pos) + 3.388 (neg) + 0.736 (reg) 9: obj val: 11.323 = 6.960 (pos) + 3.614 (neg) + 0.749 (reg) 10: obj val: 12.285 = 7.768 (pos) + 3.755 (neg) + 0.762 (reg) Pruning easy negatives Cache holds 7759 pos examples 8595 neg examples 3267 pos support vectors 6482 neg support vectors >>> Updating garbage_bin detector <<< Cache holds 466 pos examples 6550 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .* optimization finished, #iter = 15 Objective value = -1.858661 nSV = 2204 1: obj val: 0.324 = 0.125 (pos) + 0.087 (neg) + 0.111 (reg) 2: obj val: 1.108 = 0.634 (pos) + 0.265 (neg) + 0.209 (reg) 3: obj val: 1.451 = 0.986 (pos) + 0.273 (neg) + 0.193 (reg) 4: obj val: 1.752 = 1.466 (pos) + 0.166 (neg) + 0.119 (reg) 5: obj val: 1.859 = 1.801 (pos) + 0.039 (neg) + 0.019 (reg) 6: obj val: 1.862 = 1.826 (pos) + 0.021 (neg) + 0.015 (reg) Pruning easy negatives Cache holds 466 pos examples 6550 neg examples 466 pos support vectors 1307 neg support vectors hard neg epoch: 1/1 image: 541/795 hard neg epoch: 1/1 image: 542/795 hard neg epoch: 1/1 image: 543/795 hard neg epoch: 1/1 image: 544/795 hard neg epoch: 1/1 image: 545/795 hard neg epoch: 1/1 image: 546/795 hard neg epoch: 1/1 image: 547/795 hard neg epoch: 1/1 image: 548/795 hard neg epoch: 1/1 image: 549/795 hard neg epoch: 1/1 image: 550/795 hard neg epoch: 1/1 image: 551/795 hard neg epoch: 1/1 image: 552/795 hard neg epoch: 1/1 image: 553/795 hard neg epoch: 1/1 image: 554/795 hard neg epoch: 1/1 image: 555/795 hard neg epoch: 1/1 image: 556/795 hard neg epoch: 1/1 image: 557/795 hard neg epoch: 1/1 image: 558/795 hard neg epoch: 1/1 image: 559/795 hard neg epoch: 1/1 image: 560/795 >>> Updating night_stand detector <<< Cache holds 2389 pos examples 4963 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .*.* optimization finished, #iter = 21 Objective value = -4.320492 nSV = 3646 1: obj val: 0.275 = 0.104 (pos) + 0.047 (neg) + 0.125 (reg) 2: obj val: 1.100 = 0.513 (pos) + 0.345 (neg) + 0.243 (reg) 3: obj val: 1.816 = 0.982 (pos) + 0.523 (neg) + 0.311 (reg) 4: obj val: 2.496 = 1.437 (pos) + 0.699 (neg) + 0.360 (reg) 5: obj val: 3.411 = 2.088 (pos) + 0.956 (neg) + 0.367 (reg) 6: obj val: 4.321 = 2.754 (pos) + 1.167 (neg) + 0.400 (reg) Pruning easy negatives Cache holds 2389 pos examples 3390 neg examples 1176 pos support vectors 2384 neg support vectors >>> Updating table detector <<< Cache holds 14837 pos examples 12940 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..** optimization finished, #iter = 24 Objective value = -16.728561 nSV = 13561 1: obj val: 0.567 = 0.194 (pos) + 0.191 (neg) + 0.182 (reg) 2: obj val: 3.566 = 1.687 (pos) + 1.389 (neg) + 0.490 (reg) 3: obj val: 5.559 = 2.942 (pos) + 1.993 (neg) + 0.625 (reg) 4: obj val: 7.028 = 3.976 (pos) + 2.382 (neg) + 0.669 (reg) 5: obj val: 8.337 = 4.934 (pos) + 2.679 (neg) + 0.724 (reg) 6: obj val: 10.044 = 6.016 (pos) + 3.243 (neg) + 0.785 (reg) 7: obj val: 11.798 = 7.116 (pos) + 3.863 (neg) + 0.818 (reg) 8: obj val: 13.089 = 8.024 (pos) + 4.235 (neg) + 0.830 (reg) 9: obj val: 14.575 = 9.085 (pos) + 4.630 (neg) + 0.860 (reg) 10: obj val: 15.786 = 9.835 (pos) + 5.037 (neg) + 0.914 (reg) 11: obj val: 16.731 = 10.656 (pos) + 5.143 (neg) + 0.931 (reg) Pruning easy negatives Cache holds 14837 pos examples 11680 neg examples 4434 pos support vectors 8810 neg support vectors hard neg epoch: 1/1 image: 561/795 hard neg epoch: 1/1 image: 562/795 hard neg epoch: 1/1 image: 563/795 hard neg epoch: 1/1 image: 564/795 hard neg epoch: 1/1 image: 565/795 hard neg epoch: 1/1 image: 566/795 hard neg epoch: 1/1 image: 567/795 hard neg epoch: 1/1 image: 568/795 hard neg epoch: 1/1 image: 569/795 hard neg epoch: 1/1 image: 570/795 hard neg epoch: 1/1 image: 571/795 hard neg epoch: 1/1 image: 572/795 hard neg epoch: 1/1 image: 573/795 hard neg epoch: 1/1 image: 574/795 hard neg epoch: 1/1 image: 575/795 hard neg epoch: 1/1 image: 576/795 hard neg epoch: 1/1 image: 577/795 hard neg epoch: 1/1 image: 578/795 hard neg epoch: 1/1 image: 579/795 hard neg epoch: 1/1 image: 580/795 >>> Updating monitor detector <<< Cache holds 93 pos examples 12467 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 * optimization finished, #iter = 7 Objective value = -0.375400 nSV = 1573 1: obj val: 0.189 = 0.079 (pos) + 0.035 (neg) + 0.074 (reg) 2: obj val: 0.371 = 0.351 (pos) + 0.010 (neg) + 0.010 (reg) 3: obj val: 0.376 = 0.366 (pos) + 0.003 (neg) + 0.007 (reg) 4: obj val: 0.380 = 0.369 (pos) + 0.005 (neg) + 0.006 (reg) Pruning easy negatives Cache holds 93 pos examples 12467 neg examples 93 pos support vectors 1068 neg support vectors hard neg epoch: 1/1 image: 581/795 hard neg epoch: 1/1 image: 582/795 hard neg epoch: 1/1 image: 583/795 hard neg epoch: 1/1 image: 584/795 hard neg epoch: 1/1 image: 585/795 hard neg epoch: 1/1 image: 586/795 hard neg epoch: 1/1 image: 587/795 hard neg epoch: 1/1 image: 588/795 hard neg epoch: 1/1 image: 589/795 hard neg epoch: 1/1 image: 590/795 hard neg epoch: 1/1 image: 591/795 hard neg epoch: 1/1 image: 592/795 hard neg epoch: 1/1 image: 593/795 hard neg epoch: 1/1 image: 594/795 hard neg epoch: 1/1 image: 595/795 hard neg epoch: 1/1 image: 596/795 hard neg epoch: 1/1 image: 597/795 hard neg epoch: 1/1 image: 598/795 hard neg epoch: 1/1 image: 599/795 hard neg epoch: 1/1 image: 600/795 >>> Updating pillow detector <<< Cache holds 2488 pos examples 7642 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ...* optimization finished, #iter = 32 Objective value = -8.831982 nSV = 7023 1: obj val: 0.268 = 0.104 (pos) + 0.083 (neg) + 0.080 (reg) 2: obj val: 1.533 = 0.751 (pos) + 0.613 (neg) + 0.169 (reg) 3: obj val: 2.687 = 1.219 (pos) + 1.188 (neg) + 0.280 (reg) 4: obj val: 4.073 = 1.989 (pos) + 1.757 (neg) + 0.327 (reg) 5: obj val: 5.230 = 2.809 (pos) + 2.058 (neg) + 0.363 (reg) 6: obj val: 6.378 = 3.724 (pos) + 2.278 (neg) + 0.375 (reg) 7: obj val: 7.600 = 4.726 (pos) + 2.501 (neg) + 0.373 (reg) 8: obj val: 8.833 = 6.035 (pos) + 2.447 (neg) + 0.352 (reg) Pruning easy negatives Cache holds 2488 pos examples 6517 neg examples 2294 pos support vectors 4635 neg support vectors >>> Updating sofa detector <<< Cache holds 9697 pos examples 5008 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..** optimization finished, #iter = 23 Objective value = -4.583294 nSV = 4018 1: obj val: 0.228 = 0.074 (pos) + 0.045 (neg) + 0.108 (reg) 2: obj val: 1.072 = 0.493 (pos) + 0.310 (neg) + 0.268 (reg) 3: obj val: 1.425 = 0.714 (pos) + 0.391 (neg) + 0.320 (reg) 4: obj val: 2.016 = 1.061 (pos) + 0.566 (neg) + 0.388 (reg) 5: obj val: 3.005 = 1.607 (pos) + 0.926 (neg) + 0.471 (reg) 6: obj val: 3.794 = 2.048 (pos) + 1.204 (neg) + 0.542 (reg) 7: obj val: 4.585 = 2.577 (pos) + 1.406 (neg) + 0.602 (reg) Pruning easy negatives Cache holds 9697 pos examples 3507 neg examples 1311 pos support vectors 2535 neg support vectors hard neg epoch: 1/1 image: 601/795 hard neg epoch: 1/1 image: 602/795 hard neg epoch: 1/1 image: 603/795 hard neg epoch: 1/1 image: 604/795 hard neg epoch: 1/1 image: 605/795 hard neg epoch: 1/1 image: 606/795 hard neg epoch: 1/1 image: 607/795 hard neg epoch: 1/1 image: 608/795 hard neg epoch: 1/1 image: 609/795 hard neg epoch: 1/1 image: 610/795 hard neg epoch: 1/1 image: 611/795 hard neg epoch: 1/1 image: 612/795 hard neg epoch: 1/1 image: 613/795 hard neg epoch: 1/1 image: 614/795 hard neg epoch: 1/1 image: 615/795 hard neg epoch: 1/1 image: 616/795 hard neg epoch: 1/1 image: 617/795 hard neg epoch: 1/1 image: 618/795 hard neg epoch: 1/1 image: 619/795 hard neg epoch: 1/1 image: 620/795 >>> Updating dresser detector <<< Cache holds 1906 pos examples 6057 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..* optimization finished, #iter = 25 Objective value = -6.002057 nSV = 5008 1: obj val: 0.322 = 0.081 (pos) + 0.124 (neg) + 0.118 (reg) 2: obj val: 1.134 = 0.432 (pos) + 0.404 (neg) + 0.298 (reg) 3: obj val: 1.864 = 0.849 (pos) + 0.623 (neg) + 0.392 (reg) 4: obj val: 2.743 = 1.401 (pos) + 0.851 (neg) + 0.491 (reg) 5: obj val: 3.579 = 2.023 (pos) + 1.056 (neg) + 0.500 (reg) 6: obj val: 4.440 = 2.665 (pos) + 1.262 (neg) + 0.514 (reg) 7: obj val: 5.164 = 3.412 (pos) + 1.240 (neg) + 0.512 (reg) 8: obj val: 6.003 = 4.133 (pos) + 1.392 (neg) + 0.478 (reg) Pruning easy negatives Cache holds 1906 pos examples 4797 neg examples 1615 pos support vectors 3293 neg support vectors >>> Updating tv detector <<< Cache holds 438 pos examples 4302 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..* optimization finished, #iter = 21 Objective value = -1.719859 nSV = 1570 1: obj val: 0.225 = 0.073 (pos) + 0.072 (neg) + 0.080 (reg) 2: obj val: 0.961 = 0.562 (pos) + 0.258 (neg) + 0.141 (reg) 3: obj val: 1.336 = 0.859 (pos) + 0.310 (neg) + 0.166 (reg) 4: obj val: 1.605 = 1.266 (pos) + 0.215 (neg) + 0.124 (reg) 5: obj val: 1.722 = 1.633 (pos) + 0.048 (neg) + 0.041 (reg) Pruning easy negatives Cache holds 438 pos examples 4207 neg examples 438 pos support vectors 724 neg support vectors hard neg epoch: 1/1 image: 621/795 hard neg epoch: 1/1 image: 622/795 hard neg epoch: 1/1 image: 623/795 hard neg epoch: 1/1 image: 624/795 hard neg epoch: 1/1 image: 625/795 hard neg epoch: 1/1 image: 626/795 hard neg epoch: 1/1 image: 627/795 hard neg epoch: 1/1 image: 628/795 hard neg epoch: 1/1 image: 629/795 hard neg epoch: 1/1 image: 630/795 hard neg epoch: 1/1 image: 631/795 hard neg epoch: 1/1 image: 632/795 hard neg epoch: 1/1 image: 633/795 hard neg epoch: 1/1 image: 634/795 hard neg epoch: 1/1 image: 635/795 hard neg epoch: 1/1 image: 636/795 hard neg epoch: 1/1 image: 637/795 hard neg epoch: 1/1 image: 638/795 hard neg epoch: 1/1 image: 639/795 hard neg epoch: 1/1 image: 640/795 >>> Updating chair detector <<< Cache holds 37041 pos examples 23061 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..* optimization finished, #iter = 25 Objective value = -34.770376 nSV = 27400 1: obj val: 0.719 = 0.213 (pos) + 0.281 (neg) + 0.226 (reg) 2: obj val: 5.225 = 2.163 (pos) + 2.501 (neg) + 0.561 (reg) 3: obj val: 8.808 = 3.950 (pos) + 4.092 (neg) + 0.766 (reg) 4: obj val: 10.293 = 4.737 (pos) + 4.766 (neg) + 0.790 (reg) 5: obj val: 12.088 = 5.942 (pos) + 5.320 (neg) + 0.826 (reg) 6: obj val: 14.550 = 7.213 (pos) + 6.395 (neg) + 0.942 (reg) 7: obj val: 20.083 = 10.346 (pos) + 8.679 (neg) + 1.058 (reg) 8: obj val: 23.072 = 12.153 (pos) + 9.826 (neg) + 1.092 (reg) 9: obj val: 25.030 = 13.591 (pos) + 10.374 (neg) + 1.065 (reg) 10: obj val: 26.631 = 14.496 (pos) + 11.064 (neg) + 1.071 (reg) 11: obj val: 28.102 = 15.594 (pos) + 11.431 (neg) + 1.077 (reg) 12: obj val: 29.824 = 16.811 (pos) + 11.925 (neg) + 1.088 (reg) 13: obj val: 31.406 = 17.908 (pos) + 12.385 (neg) + 1.113 (reg) 14: obj val: 33.146 = 19.158 (pos) + 12.881 (neg) + 1.107 (reg) 15: obj val: 34.774 = 20.162 (pos) + 13.476 (neg) + 1.135 (reg) Pruning easy negatives Cache holds 37041 pos examples 22062 neg examples 8994 pos support vectors 17984 neg support vectors hard neg epoch: 1/1 image: 641/795 hard neg epoch: 1/1 image: 642/795 hard neg epoch: 1/1 image: 643/795 hard neg epoch: 1/1 image: 644/795 hard neg epoch: 1/1 image: 645/795 hard neg epoch: 1/1 image: 646/795 hard neg epoch: 1/1 image: 647/795 hard neg epoch: 1/1 image: 648/795 hard neg epoch: 1/1 image: 649/795 hard neg epoch: 1/1 image: 650/795 hard neg epoch: 1/1 image: 651/795 hard neg epoch: 1/1 image: 652/795 hard neg epoch: 1/1 image: 653/795 hard neg epoch: 1/1 image: 654/795 hard neg epoch: 1/1 image: 655/795 hard neg epoch: 1/1 image: 656/795 hard neg epoch: 1/1 image: 657/795 hard neg epoch: 1/1 image: 658/795 hard neg epoch: 1/1 image: 659/795 hard neg epoch: 1/1 image: 660/795 >>> Updating bed detector <<< Cache holds 17820 pos examples 4551 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..* optimization finished, #iter = 21 Objective value = -3.787956 nSV = 3373 1: obj val: 0.227 = 0.077 (pos) + 0.055 (neg) + 0.094 (reg) 2: obj val: 0.802 = 0.341 (pos) + 0.237 (neg) + 0.225 (reg) 3: obj val: 1.187 = 0.570 (pos) + 0.333 (neg) + 0.284 (reg) 4: obj val: 2.028 = 1.009 (pos) + 0.644 (neg) + 0.376 (reg) 5: obj val: 2.735 = 1.405 (pos) + 0.890 (neg) + 0.440 (reg) 6: obj val: 3.789 = 1.919 (pos) + 1.347 (neg) + 0.524 (reg) Pruning easy negatives Cache holds 17820 pos examples 2891 neg examples 1063 pos support vectors 2178 neg support vectors >>> Updating box detector <<< Cache holds 1082 pos examples 14478 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .* optimization finished, #iter = 13 Objective value = -4.323588 nSV = 6715 1: obj val: 0.504 = 0.187 (pos) + 0.173 (neg) + 0.144 (reg) 2: obj val: 2.579 = 1.496 (pos) + 0.740 (neg) + 0.343 (reg) 3: obj val: 3.081 = 2.005 (pos) + 0.712 (neg) + 0.363 (reg) 4: obj val: 3.595 = 2.651 (pos) + 0.616 (neg) + 0.327 (reg) 5: obj val: 3.945 = 3.288 (pos) + 0.408 (neg) + 0.249 (reg) 6: obj val: 4.150 = 3.787 (pos) + 0.204 (neg) + 0.160 (reg) 7: obj val: 4.287 = 4.156 (pos) + 0.077 (neg) + 0.054 (reg) 8: obj val: 4.343 = 4.199 (pos) + 0.114 (neg) + 0.029 (reg) 9: obj val: 4.320 = 4.265 (pos) + 0.028 (neg) + 0.027 (reg) 10: obj val: 4.333 = 4.296 (pos) + 0.023 (neg) + 0.014 (reg) Pruning easy negatives Cache holds 1082 pos examples 14478 neg examples 1082 pos support vectors 2805 neg support vectors hard neg epoch: 1/1 image: 661/795 hard neg epoch: 1/1 image: 662/795 hard neg epoch: 1/1 image: 663/795 hard neg epoch: 1/1 image: 664/795 hard neg epoch: 1/1 image: 665/795 hard neg epoch: 1/1 image: 666/795 hard neg epoch: 1/1 image: 667/795 hard neg epoch: 1/1 image: 668/795 hard neg epoch: 1/1 image: 669/795 hard neg epoch: 1/1 image: 670/795 hard neg epoch: 1/1 image: 671/795 hard neg epoch: 1/1 image: 672/795 hard neg epoch: 1/1 image: 673/795 hard neg epoch: 1/1 image: 674/795 hard neg epoch: 1/1 image: 675/795 hard neg epoch: 1/1 image: 676/795 hard neg epoch: 1/1 image: 677/795 hard neg epoch: 1/1 image: 678/795 hard neg epoch: 1/1 image: 679/795 hard neg epoch: 1/1 image: 680/795 hard neg epoch: 1/1 image: 681/795 hard neg epoch: 1/1 image: 682/795 hard neg epoch: 1/1 image: 683/795 hard neg epoch: 1/1 image: 684/795 hard neg epoch: 1/1 image: 685/795 hard neg epoch: 1/1 image: 686/795 hard neg epoch: 1/1 image: 687/795 hard neg epoch: 1/1 image: 688/795 hard neg epoch: 1/1 image: 689/795 hard neg epoch: 1/1 image: 690/795 hard neg epoch: 1/1 image: 691/795 hard neg epoch: 1/1 image: 692/795 hard neg epoch: 1/1 image: 693/795 hard neg epoch: 1/1 image: 694/795 hard neg epoch: 1/1 image: 695/795 hard neg epoch: 1/1 image: 696/795 hard neg epoch: 1/1 image: 697/795 hard neg epoch: 1/1 image: 698/795 hard neg epoch: 1/1 image: 699/795 hard neg epoch: 1/1 image: 700/795 >>> Updating bookshelf detector <<< Cache holds 803 pos examples 3701 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..*.*** optimization finished, #iter = 36 Objective value = -2.122191 nSV = 1856 1: obj val: 0.163 = 0.057 (pos) + 0.022 (neg) + 0.085 (reg) 2: obj val: 0.724 = 0.378 (pos) + 0.180 (neg) + 0.166 (reg) 3: obj val: 1.255 = 0.738 (pos) + 0.294 (neg) + 0.223 (reg) 4: obj val: 1.804 = 1.154 (pos) + 0.411 (neg) + 0.239 (reg) 5: obj val: 2.123 = 1.474 (pos) + 0.406 (neg) + 0.243 (reg) Pruning easy negatives Cache holds 803 pos examples 2082 neg examples 589 pos support vectors 1186 neg support vectors >>> Updating pillow detector <<< Cache holds 2488 pos examples 8765 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..* optimization finished, #iter = 27 Objective value = -9.719479 nSV = 7743 1: obj val: 0.268 = 0.104 (pos) + 0.083 (neg) + 0.080 (reg) 2: obj val: 1.533 = 0.751 (pos) + 0.613 (neg) + 0.169 (reg) 3: obj val: 2.687 = 1.219 (pos) + 1.188 (neg) + 0.280 (reg) 4: obj val: 4.073 = 1.989 (pos) + 1.757 (neg) + 0.327 (reg) 5: obj val: 5.230 = 2.809 (pos) + 2.058 (neg) + 0.363 (reg) 6: obj val: 6.378 = 3.724 (pos) + 2.278 (neg) + 0.375 (reg) 7: obj val: 7.600 = 4.726 (pos) + 2.501 (neg) + 0.373 (reg) 8: obj val: 8.833 = 6.035 (pos) + 2.447 (neg) + 0.352 (reg) 9: obj val: 9.721 = 7.984 (pos) + 1.499 (neg) + 0.238 (reg) Pruning easy negatives Cache holds 2488 pos examples 8297 neg examples 2487 pos support vectors 5024 neg support vectors hard neg epoch: 1/1 image: 701/795 hard neg epoch: 1/1 image: 702/795 hard neg epoch: 1/1 image: 703/795 hard neg epoch: 1/1 image: 704/795 hard neg epoch: 1/1 image: 705/795 hard neg epoch: 1/1 image: 706/795 hard neg epoch: 1/1 image: 707/795 hard neg epoch: 1/1 image: 708/795 hard neg epoch: 1/1 image: 709/795 hard neg epoch: 1/1 image: 710/795 hard neg epoch: 1/1 image: 711/795 hard neg epoch: 1/1 image: 712/795 hard neg epoch: 1/1 image: 713/795 hard neg epoch: 1/1 image: 714/795 hard neg epoch: 1/1 image: 715/795 hard neg epoch: 1/1 image: 716/795 hard neg epoch: 1/1 image: 717/795 hard neg epoch: 1/1 image: 718/795 hard neg epoch: 1/1 image: 719/795 hard neg epoch: 1/1 image: 720/795 >>> Updating chair detector <<< Cache holds 37041 pos examples 25352 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..* optimization finished, #iter = 25 Objective value = -37.047335 nSV = 29126 1: obj val: 0.719 = 0.213 (pos) + 0.281 (neg) + 0.226 (reg) 2: obj val: 5.225 = 2.163 (pos) + 2.501 (neg) + 0.561 (reg) 3: obj val: 8.808 = 3.950 (pos) + 4.092 (neg) + 0.766 (reg) 4: obj val: 10.293 = 4.737 (pos) + 4.766 (neg) + 0.790 (reg) 5: obj val: 12.088 = 5.942 (pos) + 5.320 (neg) + 0.826 (reg) 6: obj val: 14.550 = 7.213 (pos) + 6.395 (neg) + 0.942 (reg) 7: obj val: 20.083 = 10.346 (pos) + 8.679 (neg) + 1.058 (reg) 8: obj val: 23.072 = 12.153 (pos) + 9.826 (neg) + 1.092 (reg) 9: obj val: 25.030 = 13.591 (pos) + 10.374 (neg) + 1.065 (reg) 10: obj val: 26.631 = 14.496 (pos) + 11.064 (neg) + 1.071 (reg) 11: obj val: 28.102 = 15.594 (pos) + 11.431 (neg) + 1.077 (reg) 12: obj val: 29.824 = 16.811 (pos) + 11.925 (neg) + 1.088 (reg) 13: obj val: 31.406 = 17.908 (pos) + 12.385 (neg) + 1.113 (reg) 14: obj val: 33.146 = 19.158 (pos) + 12.881 (neg) + 1.107 (reg) 15: obj val: 34.774 = 20.162 (pos) + 13.476 (neg) + 1.135 (reg) 16: obj val: 37.051 = 21.772 (pos) + 14.110 (neg) + 1.170 (reg) Pruning easy negatives Cache holds 37041 pos examples 23558 neg examples 9542 pos support vectors 19044 neg support vectors >>> Updating table detector <<< Cache holds 14837 pos examples 13749 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..** optimization finished, #iter = 25 Objective value = -17.613669 nSV = 14268 1: obj val: 0.567 = 0.194 (pos) + 0.191 (neg) + 0.182 (reg) 2: obj val: 3.566 = 1.687 (pos) + 1.389 (neg) + 0.490 (reg) 3: obj val: 5.559 = 2.942 (pos) + 1.993 (neg) + 0.625 (reg) 4: obj val: 7.028 = 3.976 (pos) + 2.382 (neg) + 0.669 (reg) 5: obj val: 8.337 = 4.934 (pos) + 2.679 (neg) + 0.724 (reg) 6: obj val: 10.044 = 6.016 (pos) + 3.243 (neg) + 0.785 (reg) 7: obj val: 11.798 = 7.116 (pos) + 3.863 (neg) + 0.818 (reg) 8: obj val: 13.089 = 8.024 (pos) + 4.235 (neg) + 0.830 (reg) 9: obj val: 14.575 = 9.085 (pos) + 4.630 (neg) + 0.860 (reg) 10: obj val: 15.786 = 9.835 (pos) + 5.037 (neg) + 0.914 (reg) 11: obj val: 16.731 = 10.656 (pos) + 5.143 (neg) + 0.931 (reg) 12: obj val: 17.616 = 11.315 (pos) + 5.316 (neg) + 0.985 (reg) Pruning easy negatives Cache holds 14837 pos examples 12474 neg examples 4648 pos support vectors 9420 neg support vectors hard neg epoch: 1/1 image: 721/795 hard neg epoch: 1/1 image: 722/795 hard neg epoch: 1/1 image: 723/795 hard neg epoch: 1/1 image: 724/795 hard neg epoch: 1/1 image: 725/795 hard neg epoch: 1/1 image: 726/795 hard neg epoch: 1/1 image: 727/795 hard neg epoch: 1/1 image: 728/795 hard neg epoch: 1/1 image: 729/795 hard neg epoch: 1/1 image: 730/795 hard neg epoch: 1/1 image: 731/795 hard neg epoch: 1/1 image: 732/795 hard neg epoch: 1/1 image: 733/795 hard neg epoch: 1/1 image: 734/795 hard neg epoch: 1/1 image: 735/795 hard neg epoch: 1/1 image: 736/795 hard neg epoch: 1/1 image: 737/795 hard neg epoch: 1/1 image: 738/795 hard neg epoch: 1/1 image: 739/795 hard neg epoch: 1/1 image: 740/795 hard neg epoch: 1/1 image: 741/795 hard neg epoch: 1/1 image: 742/795 hard neg epoch: 1/1 image: 743/795 hard neg epoch: 1/1 image: 744/795 hard neg epoch: 1/1 image: 745/795 hard neg epoch: 1/1 image: 746/795 hard neg epoch: 1/1 image: 747/795 hard neg epoch: 1/1 image: 748/795 hard neg epoch: 1/1 image: 749/795 hard neg epoch: 1/1 image: 750/795 hard neg epoch: 1/1 image: 751/795 hard neg epoch: 1/1 image: 752/795 hard neg epoch: 1/1 image: 753/795 hard neg epoch: 1/1 image: 754/795 hard neg epoch: 1/1 image: 755/795 hard neg epoch: 1/1 image: 756/795 hard neg epoch: 1/1 image: 757/795 hard neg epoch: 1/1 image: 758/795 hard neg epoch: 1/1 image: 759/795 hard neg epoch: 1/1 image: 760/795 >>> Updating desk detector <<< Cache holds 7759 pos examples 10602 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..* optimization finished, #iter = 21 Objective value = -13.164543 nSV = 10747 1: obj val: 0.588 = 0.178 (pos) + 0.184 (neg) + 0.226 (reg) 2: obj val: 2.426 = 1.088 (pos) + 0.867 (neg) + 0.471 (reg) 3: obj val: 3.530 = 1.787 (pos) + 1.196 (neg) + 0.547 (reg) 4: obj val: 4.738 = 2.595 (pos) + 1.530 (neg) + 0.613 (reg) 5: obj val: 5.575 = 3.210 (pos) + 1.687 (neg) + 0.679 (reg) 6: obj val: 7.135 = 3.975 (pos) + 2.467 (neg) + 0.692 (reg) 7: obj val: 8.962 = 5.185 (pos) + 3.071 (neg) + 0.705 (reg) 8: obj val: 10.167 = 6.043 (pos) + 3.388 (neg) + 0.736 (reg) 9: obj val: 11.323 = 6.960 (pos) + 3.614 (neg) + 0.749 (reg) 10: obj val: 12.285 = 7.768 (pos) + 3.755 (neg) + 0.762 (reg) 11: obj val: 13.168 = 8.600 (pos) + 3.779 (neg) + 0.788 (reg) Pruning easy negatives Cache holds 7759 pos examples 9265 neg examples 3519 pos support vectors 6846 neg support vectors hard neg epoch: 1/1 image: 761/795 hard neg epoch: 1/1 image: 762/795 hard neg epoch: 1/1 image: 763/795 hard neg epoch: 1/1 image: 764/795 hard neg epoch: 1/1 image: 765/795 hard neg epoch: 1/1 image: 766/795 hard neg epoch: 1/1 image: 767/795 hard neg epoch: 1/1 image: 768/795 hard neg epoch: 1/1 image: 769/795 hard neg epoch: 1/1 image: 770/795 hard neg epoch: 1/1 image: 771/795 hard neg epoch: 1/1 image: 772/795 hard neg epoch: 1/1 image: 773/795 hard neg epoch: 1/1 image: 774/795 hard neg epoch: 1/1 image: 775/795 hard neg epoch: 1/1 image: 776/795 hard neg epoch: 1/1 image: 777/795 hard neg epoch: 1/1 image: 778/795 hard neg epoch: 1/1 image: 779/795 hard neg epoch: 1/1 image: 780/795 >>> Updating chair detector <<< Cache holds 37041 pos examples 25872 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..* optimization finished, #iter = 27 Objective value = -38.830353 nSV = 30489 1: obj val: 0.719 = 0.213 (pos) + 0.281 (neg) + 0.226 (reg) 2: obj val: 5.225 = 2.163 (pos) + 2.501 (neg) + 0.561 (reg) 3: obj val: 8.808 = 3.950 (pos) + 4.092 (neg) + 0.766 (reg) 4: obj val: 10.293 = 4.737 (pos) + 4.766 (neg) + 0.790 (reg) 5: obj val: 12.088 = 5.942 (pos) + 5.320 (neg) + 0.826 (reg) 6: obj val: 14.550 = 7.213 (pos) + 6.395 (neg) + 0.942 (reg) 7: obj val: 20.083 = 10.346 (pos) + 8.679 (neg) + 1.058 (reg) 8: obj val: 23.072 = 12.153 (pos) + 9.826 (neg) + 1.092 (reg) 9: obj val: 25.030 = 13.591 (pos) + 10.374 (neg) + 1.065 (reg) 10: obj val: 26.631 = 14.496 (pos) + 11.064 (neg) + 1.071 (reg) 11: obj val: 28.102 = 15.594 (pos) + 11.431 (neg) + 1.077 (reg) 12: obj val: 29.824 = 16.811 (pos) + 11.925 (neg) + 1.088 (reg) 13: obj val: 31.406 = 17.908 (pos) + 12.385 (neg) + 1.113 (reg) 14: obj val: 33.146 = 19.158 (pos) + 12.881 (neg) + 1.107 (reg) 15: obj val: 34.774 = 20.162 (pos) + 13.476 (neg) + 1.135 (reg) 16: obj val: 37.051 = 21.772 (pos) + 14.110 (neg) + 1.170 (reg) 17: obj val: 38.837 = 23.128 (pos) + 14.515 (neg) + 1.194 (reg) Pruning easy negatives Cache holds 37041 pos examples 24542 neg examples 10150 pos support vectors 19722 neg support vectors >>> Updating pillow detector <<< Cache holds 2488 pos examples 10357 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..** optimization finished, #iter = 29 Objective value = -9.874467 nSV = 8062 1: obj val: 0.268 = 0.104 (pos) + 0.083 (neg) + 0.080 (reg) 2: obj val: 1.533 = 0.751 (pos) + 0.613 (neg) + 0.169 (reg) 3: obj val: 2.687 = 1.219 (pos) + 1.188 (neg) + 0.280 (reg) 4: obj val: 4.073 = 1.989 (pos) + 1.757 (neg) + 0.327 (reg) 5: obj val: 5.230 = 2.809 (pos) + 2.058 (neg) + 0.363 (reg) 6: obj val: 6.378 = 3.724 (pos) + 2.278 (neg) + 0.375 (reg) 7: obj val: 7.600 = 4.726 (pos) + 2.501 (neg) + 0.373 (reg) 8: obj val: 8.833 = 6.035 (pos) + 2.447 (neg) + 0.352 (reg) 9: obj val: 9.721 = 7.984 (pos) + 1.499 (neg) + 0.238 (reg) 10: obj val: 9.877 = 9.218 (pos) + 0.573 (neg) + 0.087 (reg) Pruning easy negatives Cache holds 2488 pos examples 10280 neg examples 2488 pos support vectors 5184 neg support vectors hard neg epoch: 1/1 image: 781/795 hard neg epoch: 1/1 image: 782/795 hard neg epoch: 1/1 image: 783/795 hard neg epoch: 1/1 image: 784/795 hard neg epoch: 1/1 image: 785/795 hard neg epoch: 1/1 image: 786/795 hard neg epoch: 1/1 image: 787/795 hard neg epoch: 1/1 image: 788/795 hard neg epoch: 1/1 image: 789/795 hard neg epoch: 1/1 image: 790/795 hard neg epoch: 1/1 image: 791/795 hard neg epoch: 1/1 image: 792/795 hard neg epoch: 1/1 image: 793/795 hard neg epoch: 1/1 image: 794/795 hard neg epoch: 1/1 image: 795/795 >>> Updating bathtub detector <<< Cache holds 501 pos examples 2194 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .*. optimization finished, #iter = 20 Objective value = -0.949569 nSV = 906 1: obj val: 0.214 = 0.101 (pos) + 0.041 (neg) + 0.072 (reg) 2: obj val: 0.409 = 0.227 (pos) + 0.075 (neg) + 0.107 (reg) 3: obj val: 0.522 = 0.325 (pos) + 0.071 (neg) + 0.127 (reg) 4: obj val: 0.727 = 0.470 (pos) + 0.106 (neg) + 0.151 (reg) 5: obj val: 0.950 = 0.632 (pos) + 0.145 (neg) + 0.173 (reg) Pruning easy negatives Cache holds 501 pos examples 1136 neg examples 280 pos support vectors 561 neg support vectors >>> Updating bed detector <<< Cache holds 17820 pos examples 3297 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..* optimization finished, #iter = 25 Objective value = -4.016916 nSV = 3541 1: obj val: 0.227 = 0.077 (pos) + 0.055 (neg) + 0.094 (reg) 2: obj val: 0.802 = 0.341 (pos) + 0.237 (neg) + 0.225 (reg) 3: obj val: 1.187 = 0.570 (pos) + 0.333 (neg) + 0.284 (reg) 4: obj val: 2.028 = 1.009 (pos) + 0.644 (neg) + 0.376 (reg) 5: obj val: 2.735 = 1.405 (pos) + 0.890 (neg) + 0.440 (reg) 6: obj val: 3.789 = 1.919 (pos) + 1.347 (neg) + 0.524 (reg) 7: obj val: 4.018 = 2.082 (pos) + 1.393 (neg) + 0.543 (reg) Pruning easy negatives Cache holds 17820 pos examples 2950 neg examples 1169 pos support vectors 2222 neg support vectors >>> Updating bookshelf detector <<< Cache holds 803 pos examples 2104 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..*.* optimization finished, #iter = 33 Objective value = -2.128221 nSV = 1858 1: obj val: 0.163 = 0.057 (pos) + 0.022 (neg) + 0.085 (reg) 2: obj val: 0.724 = 0.378 (pos) + 0.180 (neg) + 0.166 (reg) 3: obj val: 1.255 = 0.738 (pos) + 0.294 (neg) + 0.223 (reg) 4: obj val: 1.804 = 1.154 (pos) + 0.411 (neg) + 0.239 (reg) 5: obj val: 2.123 = 1.474 (pos) + 0.406 (neg) + 0.243 (reg) 6: obj val: 2.129 = 1.491 (pos) + 0.393 (neg) + 0.245 (reg) Pruning easy negatives Cache holds 803 pos examples 2016 neg examples 595 pos support vectors 1121 neg support vectors >>> Updating box detector <<< Cache holds 1082 pos examples 15455 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .** optimization finished, #iter = 13 Objective value = -4.326194 nSV = 7413 1: obj val: 0.504 = 0.187 (pos) + 0.173 (neg) + 0.144 (reg) 2: obj val: 2.579 = 1.496 (pos) + 0.740 (neg) + 0.343 (reg) 3: obj val: 3.081 = 2.005 (pos) + 0.712 (neg) + 0.363 (reg) 4: obj val: 3.595 = 2.651 (pos) + 0.616 (neg) + 0.327 (reg) 5: obj val: 3.945 = 3.288 (pos) + 0.408 (neg) + 0.249 (reg) 6: obj val: 4.150 = 3.787 (pos) + 0.204 (neg) + 0.160 (reg) 7: obj val: 4.287 = 4.156 (pos) + 0.077 (neg) + 0.054 (reg) 8: obj val: 4.343 = 4.199 (pos) + 0.114 (neg) + 0.029 (reg) 9: obj val: 4.320 = 4.265 (pos) + 0.028 (neg) + 0.027 (reg) 10: obj val: 4.333 = 4.296 (pos) + 0.023 (neg) + 0.014 (reg) 11: obj val: 4.345 = 4.330 (pos) + 0.003 (neg) + 0.012 (reg) Pruning easy negatives Cache holds 1082 pos examples 15455 neg examples 1082 pos support vectors 500 neg support vectors >>> Updating chair detector <<< Cache holds 37041 pos examples 25213 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..* optimization finished, #iter = 27 Objective value = -39.303829 nSV = 30854 1: obj val: 0.719 = 0.213 (pos) + 0.281 (neg) + 0.226 (reg) 2: obj val: 5.225 = 2.163 (pos) + 2.501 (neg) + 0.561 (reg) 3: obj val: 8.808 = 3.950 (pos) + 4.092 (neg) + 0.766 (reg) 4: obj val: 10.293 = 4.737 (pos) + 4.766 (neg) + 0.790 (reg) 5: obj val: 12.088 = 5.942 (pos) + 5.320 (neg) + 0.826 (reg) 6: obj val: 14.550 = 7.213 (pos) + 6.395 (neg) + 0.942 (reg) 7: obj val: 20.083 = 10.346 (pos) + 8.679 (neg) + 1.058 (reg) 8: obj val: 23.072 = 12.153 (pos) + 9.826 (neg) + 1.092 (reg) 9: obj val: 25.030 = 13.591 (pos) + 10.374 (neg) + 1.065 (reg) 10: obj val: 26.631 = 14.496 (pos) + 11.064 (neg) + 1.071 (reg) 11: obj val: 28.102 = 15.594 (pos) + 11.431 (neg) + 1.077 (reg) 12: obj val: 29.824 = 16.811 (pos) + 11.925 (neg) + 1.088 (reg) 13: obj val: 31.406 = 17.908 (pos) + 12.385 (neg) + 1.113 (reg) 14: obj val: 33.146 = 19.158 (pos) + 12.881 (neg) + 1.107 (reg) 15: obj val: 34.774 = 20.162 (pos) + 13.476 (neg) + 1.135 (reg) 16: obj val: 37.051 = 21.772 (pos) + 14.110 (neg) + 1.170 (reg) 17: obj val: 38.837 = 23.128 (pos) + 14.515 (neg) + 1.194 (reg) 18: obj val: 39.308 = 23.187 (pos) + 14.918 (neg) + 1.202 (reg) Pruning easy negatives Cache holds 37041 pos examples 24953 neg examples 10080 pos support vectors 20467 neg support vectors >>> Updating counter detector <<< Cache holds 913 pos examples 3094 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..* optimization finished, #iter = 27 Objective value = -2.718174 nSV = 2385 1: obj val: 0.172 = 0.047 (pos) + 0.032 (neg) + 0.092 (reg) 2: obj val: 0.783 = 0.314 (pos) + 0.254 (neg) + 0.215 (reg) 3: obj val: 1.207 = 0.576 (pos) + 0.330 (neg) + 0.301 (reg) 4: obj val: 1.726 = 0.993 (pos) + 0.390 (neg) + 0.343 (reg) 5: obj val: 2.208 = 1.392 (pos) + 0.496 (neg) + 0.320 (reg) 6: obj val: 2.624 = 1.802 (pos) + 0.500 (neg) + 0.322 (reg) 7: obj val: 2.719 = 1.948 (pos) + 0.456 (neg) + 0.315 (reg) Pruning easy negatives Cache holds 913 pos examples 2647 neg examples 753 pos support vectors 1582 neg support vectors >>> Updating desk detector <<< Cache holds 7759 pos examples 9644 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..* optimization finished, #iter = 23 Objective value = -13.332930 nSV = 10857 1: obj val: 0.588 = 0.178 (pos) + 0.184 (neg) + 0.226 (reg) 2: obj val: 2.426 = 1.088 (pos) + 0.867 (neg) + 0.471 (reg) 3: obj val: 3.530 = 1.787 (pos) + 1.196 (neg) + 0.547 (reg) 4: obj val: 4.738 = 2.595 (pos) + 1.530 (neg) + 0.613 (reg) 5: obj val: 5.575 = 3.210 (pos) + 1.687 (neg) + 0.679 (reg) 6: obj val: 7.135 = 3.975 (pos) + 2.467 (neg) + 0.692 (reg) 7: obj val: 8.962 = 5.185 (pos) + 3.071 (neg) + 0.705 (reg) 8: obj val: 10.167 = 6.043 (pos) + 3.388 (neg) + 0.736 (reg) 9: obj val: 11.323 = 6.960 (pos) + 3.614 (neg) + 0.749 (reg) 10: obj val: 12.285 = 7.768 (pos) + 3.755 (neg) + 0.762 (reg) 11: obj val: 13.168 = 8.600 (pos) + 3.779 (neg) + 0.788 (reg) 12: obj val: 13.335 = 8.697 (pos) + 3.848 (neg) + 0.790 (reg) Pruning easy negatives Cache holds 7759 pos examples 9394 neg examples 3525 pos support vectors 7080 neg support vectors >>> Updating door detector <<< Cache holds 61 pos examples 959 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..* optimization finished, #iter = 26 Objective value = -0.179411 nSV = 205 1: obj val: 0.069 = 0.048 (pos) + 0.003 (neg) + 0.019 (reg) 2: obj val: 0.110 = 0.080 (pos) + 0.005 (neg) + 0.025 (reg) 3: obj val: 0.134 = 0.097 (pos) + 0.006 (neg) + 0.031 (reg) 4: obj val: 0.171 = 0.121 (pos) + 0.012 (neg) + 0.038 (reg) 5: obj val: 0.180 = 0.128 (pos) + 0.011 (neg) + 0.041 (reg) Pruning easy negatives Cache holds 61 pos examples 700 neg examples 53 pos support vectors 108 neg support vectors >>> Updating dresser detector <<< Cache holds 1906 pos examples 5920 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..**. optimization finished, #iter = 30 Objective value = -6.421823 nSV = 5311 1: obj val: 0.322 = 0.081 (pos) + 0.124 (neg) + 0.118 (reg) 2: obj val: 1.134 = 0.432 (pos) + 0.404 (neg) + 0.298 (reg) 3: obj val: 1.864 = 0.849 (pos) + 0.623 (neg) + 0.392 (reg) 4: obj val: 2.743 = 1.401 (pos) + 0.851 (neg) + 0.491 (reg) 5: obj val: 3.579 = 2.023 (pos) + 1.056 (neg) + 0.500 (reg) 6: obj val: 4.440 = 2.665 (pos) + 1.262 (neg) + 0.514 (reg) 7: obj val: 5.164 = 3.412 (pos) + 1.240 (neg) + 0.512 (reg) 8: obj val: 6.003 = 4.133 (pos) + 1.392 (neg) + 0.478 (reg) 9: obj val: 6.423 = 4.685 (pos) + 1.297 (neg) + 0.441 (reg) Pruning easy negatives Cache holds 1906 pos examples 5131 neg examples 1722 pos support vectors 3355 neg support vectors >>> Updating garbage_bin detector <<< Cache holds 466 pos examples 7546 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .* optimization finished, #iter = 12 Objective value = -1.862803 nSV = 2786 1: obj val: 0.324 = 0.125 (pos) + 0.087 (neg) + 0.111 (reg) 2: obj val: 1.108 = 0.634 (pos) + 0.265 (neg) + 0.209 (reg) 3: obj val: 1.451 = 0.986 (pos) + 0.273 (neg) + 0.193 (reg) 4: obj val: 1.752 = 1.466 (pos) + 0.166 (neg) + 0.119 (reg) 5: obj val: 1.859 = 1.801 (pos) + 0.039 (neg) + 0.019 (reg) 6: obj val: 1.862 = 1.826 (pos) + 0.021 (neg) + 0.015 (reg) 7: obj val: 1.869 = 1.843 (pos) + 0.015 (neg) + 0.011 (reg) Pruning easy negatives Cache holds 466 pos examples 7546 neg examples 466 pos support vectors 1537 neg support vectors >>> Updating lamp detector <<< Cache holds 623 pos examples 2404 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..* optimization finished, #iter = 22 Objective value = -1.850330 nSV = 1562 1: obj val: 0.215 = 0.099 (pos) + 0.046 (neg) + 0.070 (reg) 2: obj val: 0.718 = 0.449 (pos) + 0.158 (neg) + 0.111 (reg) 3: obj val: 1.009 = 0.679 (pos) + 0.205 (neg) + 0.126 (reg) 4: obj val: 1.368 = 0.966 (pos) + 0.262 (neg) + 0.140 (reg) 5: obj val: 1.851 = 1.262 (pos) + 0.465 (neg) + 0.124 (reg) Pruning easy negatives Cache holds 623 pos examples 1719 neg examples 492 pos support vectors 975 neg support vectors >>> Updating monitor detector <<< Cache holds 93 pos examples 12707 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 * optimization finished, #iter = 8 Objective value = -0.375579 nSV = 1627 1: obj val: 0.189 = 0.079 (pos) + 0.035 (neg) + 0.074 (reg) 2: obj val: 0.371 = 0.351 (pos) + 0.010 (neg) + 0.010 (reg) 3: obj val: 0.376 = 0.366 (pos) + 0.003 (neg) + 0.007 (reg) 4: obj val: 0.380 = 0.369 (pos) + 0.005 (neg) + 0.006 (reg) 5: obj val: 0.380 = 0.369 (pos) + 0.005 (neg) + 0.006 (reg) Pruning easy negatives Cache holds 93 pos examples 12707 neg examples 93 pos support vectors 1073 neg support vectors >>> Updating night_stand detector <<< Cache holds 2389 pos examples 5023 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .* optimization finished, #iter = 19 Objective value = -5.006865 nSV = 4215 1: obj val: 0.275 = 0.104 (pos) + 0.047 (neg) + 0.125 (reg) 2: obj val: 1.100 = 0.513 (pos) + 0.345 (neg) + 0.243 (reg) 3: obj val: 1.816 = 0.982 (pos) + 0.523 (neg) + 0.311 (reg) 4: obj val: 2.496 = 1.437 (pos) + 0.699 (neg) + 0.360 (reg) 5: obj val: 3.411 = 2.088 (pos) + 0.956 (neg) + 0.367 (reg) 6: obj val: 4.321 = 2.754 (pos) + 1.167 (neg) + 0.400 (reg) 7: obj val: 5.008 = 3.285 (pos) + 1.310 (neg) + 0.413 (reg) Pruning easy negatives Cache holds 2389 pos examples 3931 neg examples 1344 pos support vectors 2799 neg support vectors >>> Updating pillow detector <<< Cache holds 2488 pos examples 10462 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..** optimization finished, #iter = 29 Objective value = -9.884604 nSV = 8151 1: obj val: 0.268 = 0.104 (pos) + 0.083 (neg) + 0.080 (reg) 2: obj val: 1.533 = 0.751 (pos) + 0.613 (neg) + 0.169 (reg) 3: obj val: 2.687 = 1.219 (pos) + 1.188 (neg) + 0.280 (reg) 4: obj val: 4.073 = 1.989 (pos) + 1.757 (neg) + 0.327 (reg) 5: obj val: 5.230 = 2.809 (pos) + 2.058 (neg) + 0.363 (reg) 6: obj val: 6.378 = 3.724 (pos) + 2.278 (neg) + 0.375 (reg) 7: obj val: 7.600 = 4.726 (pos) + 2.501 (neg) + 0.373 (reg) 8: obj val: 8.833 = 6.035 (pos) + 2.447 (neg) + 0.352 (reg) 9: obj val: 9.721 = 7.984 (pos) + 1.499 (neg) + 0.238 (reg) 10: obj val: 9.877 = 9.218 (pos) + 0.573 (neg) + 0.087 (reg) 11: obj val: 9.888 = 9.273 (pos) + 0.537 (neg) + 0.077 (reg) Pruning easy negatives Cache holds 2488 pos examples 10455 neg examples 2488 pos support vectors 5241 neg support vectors >>> Updating sink detector <<< Cache holds 1292 pos examples 3257 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..** optimization finished, #iter = 26 Objective value = -3.519925 nSV = 2955 1: obj val: 0.379 = 0.150 (pos) + 0.101 (neg) + 0.128 (reg) 2: obj val: 1.268 = 0.715 (pos) + 0.351 (neg) + 0.202 (reg) 3: obj val: 1.769 = 1.089 (pos) + 0.464 (neg) + 0.217 (reg) 4: obj val: 2.351 = 1.496 (pos) + 0.592 (neg) + 0.263 (reg) 5: obj val: 2.828 = 1.901 (pos) + 0.655 (neg) + 0.273 (reg) 6: obj val: 3.409 = 2.410 (pos) + 0.717 (neg) + 0.283 (reg) 7: obj val: 3.520 = 2.541 (pos) + 0.692 (neg) + 0.287 (reg) Pruning easy negatives Cache holds 1292 pos examples 2927 neg examples 953 pos support vectors 1860 neg support vectors >>> Updating sofa detector <<< Cache holds 9697 pos examples 5206 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..* optimization finished, #iter = 24 Objective value = -5.454198 nSV = 4729 1: obj val: 0.228 = 0.074 (pos) + 0.045 (neg) + 0.108 (reg) 2: obj val: 1.072 = 0.493 (pos) + 0.310 (neg) + 0.268 (reg) 3: obj val: 1.425 = 0.714 (pos) + 0.391 (neg) + 0.320 (reg) 4: obj val: 2.016 = 1.061 (pos) + 0.566 (neg) + 0.388 (reg) 5: obj val: 3.005 = 1.607 (pos) + 0.926 (neg) + 0.471 (reg) 6: obj val: 3.794 = 2.048 (pos) + 1.204 (neg) + 0.542 (reg) 7: obj val: 4.585 = 2.577 (pos) + 1.406 (neg) + 0.602 (reg) 8: obj val: 5.455 = 3.081 (pos) + 1.718 (neg) + 0.656 (reg) Pruning easy negatives Cache holds 9697 pos examples 4086 neg examples 1524 pos support vectors 3052 neg support vectors >>> Updating table detector <<< Cache holds 14837 pos examples 14084 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..* optimization finished, #iter = 25 Objective value = -18.471320 nSV = 14920 1: obj val: 0.567 = 0.194 (pos) + 0.191 (neg) + 0.182 (reg) 2: obj val: 3.566 = 1.687 (pos) + 1.389 (neg) + 0.490 (reg) 3: obj val: 5.559 = 2.942 (pos) + 1.993 (neg) + 0.625 (reg) 4: obj val: 7.028 = 3.976 (pos) + 2.382 (neg) + 0.669 (reg) 5: obj val: 8.337 = 4.934 (pos) + 2.679 (neg) + 0.724 (reg) 6: obj val: 10.044 = 6.016 (pos) + 3.243 (neg) + 0.785 (reg) 7: obj val: 11.798 = 7.116 (pos) + 3.863 (neg) + 0.818 (reg) 8: obj val: 13.089 = 8.024 (pos) + 4.235 (neg) + 0.830 (reg) 9: obj val: 14.575 = 9.085 (pos) + 4.630 (neg) + 0.860 (reg) 10: obj val: 15.786 = 9.835 (pos) + 5.037 (neg) + 0.914 (reg) 11: obj val: 16.731 = 10.656 (pos) + 5.143 (neg) + 0.931 (reg) 12: obj val: 17.616 = 11.315 (pos) + 5.316 (neg) + 0.985 (reg) 13: obj val: 18.474 = 12.023 (pos) + 5.468 (neg) + 0.983 (reg) Pruning easy negatives Cache holds 14837 pos examples 12867 neg examples 4911 pos support vectors 9608 neg support vectors >>> Updating tv detector <<< Cache holds 438 pos examples 4446 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 .*.* optimization finished, #iter = 22 Objective value = -1.729361 nSV = 1629 1: obj val: 0.225 = 0.073 (pos) + 0.072 (neg) + 0.080 (reg) 2: obj val: 0.961 = 0.562 (pos) + 0.258 (neg) + 0.141 (reg) 3: obj val: 1.336 = 0.859 (pos) + 0.310 (neg) + 0.166 (reg) 4: obj val: 1.605 = 1.266 (pos) + 0.215 (neg) + 0.124 (reg) 5: obj val: 1.722 = 1.633 (pos) + 0.048 (neg) + 0.041 (reg) 6: obj val: 1.730 = 1.660 (pos) + 0.039 (neg) + 0.032 (reg) Pruning easy negatives Cache holds 438 pos examples 4446 neg examples 438 pos support vectors 942 neg support vectors >>> Updating toilet detector <<< Cache holds 1856 pos examples 2481 neg examples liblinear opts: -w1 2.00000 -c 0.00100 -s 3 -B 10.00000 ..* optimization finished, #iter = 23 Objective value = -1.876329 nSV = 1715 1: obj val: 0.266 = 0.107 (pos) + 0.070 (neg) + 0.089 (reg) 2: obj val: 0.644 = 0.299 (pos) + 0.176 (neg) + 0.169 (reg) 3: obj val: 1.093 = 0.599 (pos) + 0.269 (neg) + 0.225 (reg) 4: obj val: 1.614 = 0.931 (pos) + 0.414 (neg) + 0.268 (reg) 5: obj val: 1.877 = 1.102 (pos) + 0.466 (neg) + 0.310 (reg) Pruning easy negatives Cache holds 1856 pos examples 1703 neg examples 535 pos support vectors 1155 neg support vectors feat_opts = svm_C: 1.0000e-03 bias_mult: 10 pos_loss_weight: 2 layer: 5 checkpoint: 100 max_hard_epochs: 1 retrain_limit: 2000 evict_thresh: -1.2000 hard_thresh: -1.0001 neg_ovr_thresh: 0.1000 pos_ovr_thresh: 0.3000 addboxsize: 1 onlygtbox: 0 combinefea: 0 normfea: 0 pos_include_po: 1 pos_include_gt: 0 rb_dis: 1 box_reg: 1 proposal_dir: '/n/fs/modelnet/deepDetect/proposal/RPN_multi_dpcv10.35top150_5000_fix/' fullbox: 1 feat_norm_mean: 15.8389 conf = feaName: 'dss_100_breg120_RPN_multi_dpcv10.35top150_5000_fix_bs3_boxregiter_10000' SUNrgbd_toolbox: './external/SUNRGBDtoolbox/' dataRoot: '/n/fs/sun3d/data/' feat_root: '/n/fs/modelnet/deepDetect/feature/' feat_cachedir: '/n/fs/modelnet/deepDetect/feature//dss_100_breg120_RPN_multi_dpcv10.35top150_5000_fix_bs3_boxregiter_10000/' sizemodel_dir: './sizedistrubution/sizedata_full/' cache_dir: '../cache/dss_100_breg120_RPN_multi_dpcv10.35top150_5000_fix_bs3_boxregiter_10000/' 1/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0001 2/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0002 3/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0009 4/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0014 5/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0015 6/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0016 7/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0017 8/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0018 9/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0021 10/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0028 11/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0029 12/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0030 13/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0031 14/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0032 15/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0033 16/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0034 17/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0035 18/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0036 19/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0037 20/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0038 21/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0039 22/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0040 23/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0041 24/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0042 25/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0043 26/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0046 27/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0047 28/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0056 29/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0057 30/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0059 31/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0060 32/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0061 33/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0062 34/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0063 35/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0076 36/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0077 37/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0078 38/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0079 39/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0084 40/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0085 41/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0086 42/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0087 43/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0088 44/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0089 45/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0090 46/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0091 47/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0117 48/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0118 49/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0119 50/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0125 51/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0126 52/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0127 53/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0128 54/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0129 55/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0131 56/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0132 57/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0133 58/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0134 59/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0137 60/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0153 61/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0154 62/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0155 63/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0167 64/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0168 65/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0169 66/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0171 67/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0172 68/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0173 69/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0174 70/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0175 71/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0176 72/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0180 73/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0181 74/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0182 75/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0183 76/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0184 77/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0185 78/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0186 79/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0187 80/654 testing on image : SUNRGBD/kv1/NYUdata/NYU0188 81/654 testing on image : 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SUNRGBD/kv1/NYUdata/NYU1423 641/654 testing on image : SUNRGBD/kv1/NYUdata/NYU1424 642/654 testing on image : SUNRGBD/kv1/NYUdata/NYU1430 643/654 testing on image : SUNRGBD/kv1/NYUdata/NYU1431 644/654 testing on image : SUNRGBD/kv1/NYUdata/NYU1432 645/654 testing on image : SUNRGBD/kv1/NYUdata/NYU1433 646/654 testing on image : SUNRGBD/kv1/NYUdata/NYU1441 647/654 testing on image : SUNRGBD/kv1/NYUdata/NYU1442 648/654 testing on image : SUNRGBD/kv1/NYUdata/NYU1443 649/654 testing on image : SUNRGBD/kv1/NYUdata/NYU1444 650/654 testing on image : SUNRGBD/kv1/NYUdata/NYU1445 651/654 testing on image : SUNRGBD/kv1/NYUdata/NYU1446 652/654 testing on image : SUNRGBD/kv1/NYUdata/NYU1447 653/654 testing on image : SUNRGBD/kv1/NYUdata/NYU1448 654/654 testing on image : SUNRGBD/kv1/NYUdata/NYU1449 {Error using load Unable to read file './external/SUNRGBDtoolbox/SUNRGBDMeta.mat': no such file or directory. Error in runall (line 61) load(fullfile(cnn3d_model.conf.SUNrgbd_toolbox,'SUNRGBDMeta.mat')); } 61 load(fullfile(cnn3d_model.conf.SUNrgbd_toolbox,'SUNRGBDMeta.mat')); ls ./external/SUNRGBDtoolbox/ demo.m draw getSequenceName.m jsonlab mBB Metadata readData readframeSUNRGBD_2d3d.m readframeSUNRGBD.m traintestSUNRGBD utils dbquit dbquit runall([opt.feaName 'iter_' num2str(opt.iter)],[],opt.includegt,1,1,opt.box_reg,opt.proposal_dir,NYUonly); {Undefined variable "opt" or function "opt.feaName". } dss_marvin_script(3,100,1,0,[],10000,3,3,100,0.25,5000,30,1,120,0,'RPN_multi_dpcv10.35top150_5000_fix',1,[],0,0,0,0) {Error using dss_marvin_script Too many input arguments. } dss_marvin_script(3,100,1,0,[],10000,3,3,100,0.25,5000,30,1,120,0,'RPN_multi_dpcv10.35top150_5000_fix',1,[],0,0,0,0) {Error using dss_marvin_script Too many input arguments. } dss_marvin_script(3,100,1,0,[],10000,3,3,100,0.25,5000,30,1,120,0,'RPN_multi_ddss_marvin_script(3,100,1,[],10000,3,3,100,0.25,5000,30,1,120,0,'RPN_multi_dpcv10.35top150_5000_fix',1,[],0,0,0,0)pcv10.35top150_5000_fix',1,[],0,0,0,0) dss_marvin_script(3,100,1,0,[],10000,3,3,100,0.25,5000,30,1,120,0,'RPN_multi_ddss_marvin_script(3,100,1,[],10000,3,3,100,0.25,5000,30,1,120,0,'RPN_multi_dpcv10.35top150_5000_fix',1,[],0,0,0,0)pcv10.35top150_5000_fix',1,[],0,0,0,0) | {Error: Unexpected MATLAB expression. } dss_marvin_script(3,100,1,[],10000,3,3,100,0.25,5000,30,1,120,0,'RPN_multi_dpcv10.35top150_5000_fix',1,[],0,0,0,0) return: /n/fs/modelnet/deepDetect/proposal/RPN_multi_dpcv10.35top150_5000_fix//boxes_NYU_po_train_diff_nb2000_fb.list return: /n/fs/modelnet/deepDetect/proposal/RPN_multi_dpcv10.35top150_5000_fix//boxes_NYU_po_test_nb2000_fb.list ans = 1 return: /n/fs/modelnet/deepDetect/proposal/RPN_multi_dpcv10.35top150_5000_fix//boxes_NYU_po_nb2000_fb.list [Warning: Directory already exists.] [> In dss_marvin_script at 178] [Warning: Directory already exists.] [> In dss_marvin_script at 182] [Warning: Directory already exists.] [> In dss_marvin_script at 183] [Warning: Directory already exists.] [> In dss_marvin_script at 184] [Warning: Directory already exists.] [> In dss_marvin_script at 185] architecturefile = /n/fs/modelnet/deepDetect/code/marvin/DSS/define_3d/DSSopt_boxreg.json [Warning: Directory already exists.] [> In dss_marvin_script at 194] [Warning: Directory already exists.] [> In dss_marvin_script at 195] [Warning: Directory already exists.] [> In dss_marvin_script at 196] trainscriptstring = #!/usr/bin/env sh export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cudnn/v3/lib64: trancnnCmd = cd /n/fs/modelnet/deepDetect/code/marvin/ .//n/fs/modelnet/deepDetect/code/marvin/DSS/define_3d/dss_100_breg120_RPN_multi_dpcv10.35top150_5000_fix_bs3_boxreg/train.sh loading ... /n/fs/modelnet/deepDetect/proposal/RPN_multi_dpcv10.35top150_5000_fix//boxes_NYU_po_nb2000_fb.mat loading ... /home/shurans/deepDetectLocal/feature//dss_100_breg120_RPN_multi_dpcv10.35top150_5000_fix_bs3_boxregiter_10000//po/fc5.tensor loading ... /home/shurans/deepDetectLocal/feature//dss_100_breg120_RPN_multi_dpcv10.35top150_5000_fix_bs3_boxregiter_10000//po/fc6.tensor loading ... /home/shurans/deepDetectLocal/feature//dss_100_breg120_RPN_multi_dpcv10.35top150_5000_fix_bs3_boxregiter_10000//po/box_pred.tensor skip: /n/fs/modelnet/deepDetect/feature/dss_100_breg120_RPN_multi_dpcv10.35top150_5000_fix_bs3_boxregiter_10000/po/SUNRGBD/kv1/NYUdata/NYU0001.mat skip: /n/fs/modelnet/deepDetect/feature/dss_100_breg120_RPN_multi_dpcv10.35top150_5000_fix_bs3_boxregiter_10000/po/SUNRGBD/kv1/NYUdata/NYU0002.mat skip: /n/fs/modelnet/deepDetect/feature/dss_100_breg120_RPN_multi_dpcv10.35top150_5000_fix_bs3_boxregiter_10000/po/SUNRGBD/kv1/NYUdata/NYU0009.mat skip: 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/n/fs/modelnet/deepDetect/feature/dss_100_breg120_RPN_multi_dpcv10.35top150_5000_fix_bs3_boxregiter_10000/po/SUNRGBD/kv1/NYUdata/NYU1435.mat skip: /n/fs/modelnet/deepDetect/feature/dss_100_breg120_RPN_multi_dpcv10.35top150_5000_fix_bs3_boxregiter_10000/po/SUNRGBD/kv1/NYUdata/NYU1436.mat skip: /n/fs/modelnet/deepDetect/feature/dss_100_breg120_RPN_multi_dpcv10.35top150_5000_fix_bs3_boxregiter_10000/po/SUNRGBD/kv1/NYUdata/NYU1437.mat skip: /n/fs/modelnet/deepDetect/feature/dss_100_breg120_RPN_multi_dpcv10.35top150_5000_fix_bs3_boxregiter_10000/po/SUNRGBD/kv1/NYUdata/NYU1438.mat skip: /n/fs/modelnet/deepDetect/feature/dss_100_breg120_RPN_multi_dpcv10.35top150_5000_fix_bs3_boxregiter_10000/po/SUNRGBD/kv1/NYUdata/NYU1439.mat skip: /n/fs/modelnet/deepDetect/feature/dss_100_breg120_RPN_multi_dpcv10.35top150_5000_fix_bs3_boxregiter_10000/po/SUNRGBD/kv1/NYUdata/NYU1440.mat classifyAcc =0.920816 ../cache/dss_100_breg120_RPN_multi_dpcv10.35top150_5000_fix_bs3_boxregiter_10000/ [Warning: Directory already exists.] [> In runall at 12 In dss_marvin_script at 255] average norm = 15.839 feat_opts = svm_C: 1.0000e-03 bias_mult: 10 pos_loss_weight: 2 layer: 5 checkpoint: 100 max_hard_epochs: 1 retrain_limit: 2000 evict_thresh: -1.2000 hard_thresh: -1.0001 neg_ovr_thresh: 0.1000 pos_ovr_thresh: 0.3000 addboxsize: 1 onlygtbox: 0 combinefea: 0 normfea: 0 pos_include_po: 1 pos_include_gt: 0 rb_dis: 1 box_reg: 1 proposal_dir: '/n/fs/modelnet/deepDetect/proposal/RPN_multi_dpcv10.35top150_5000_fix/' fullbox: 1 feat_norm_mean: 15.8389 conf = feaName: 'dss_100_breg120_RPN_multi_dpcv10.35top150_5000_fix_bs3_boxregiter_10000' SUNrgbd_toolbox: './external/SUNRGBDtoolbox/' dataRoot: '/n/fs/sun3d/data/' feat_root: '/n/fs/modelnet/deepDetect/feature/' feat_cachedir: '/n/fs/modelnet/deepDetect/feature//dss_100_breg120_RPN_multi_dpcv10.35top150_5000_fix_bs3_boxregiter_10000/' sizemodel_dir: './sizedistrubution/sizedata_full/' cache_dir: '../cache/dss_100_breg120_RPN_multi_dpcv10.35top150_5000_fix_bs3_boxregiter_10000/' bathtub:0.531698 bed:0.793305 bookshelf:0.147896 box:0.002368 chair:0.589479 counter:0.171086 desk:0.253369 door:0.000082 dresser:0.304685 garbage_bin:0.119344 lamp:0.210506 monitor:0.012465 night_stand:0.412033 pillow:0.158578 sink:0.565913 sofa:0.584125 table:0.462223 tv:0.080908 toilet:0.644941 0.531698 0.793305 0.147896 0.002368 0.589479 0.171086 0.253369 0.000082 0.304685 0.119344 0.210506 0.012465 0.412033 0.158578 0.565913 0.584125 0.462223 0.080908 0.644941 mAP :0.318158 {Undefined function or variable 'rootfolder'. Error in visulization (line 4) rootfolderWeb =fullfile(rootfolder,'web',[foldername suffix],'/'); Error in runall (line 83) visulization(SUNRGBDMeta,cnn3d_model,cnn3d_model.conf.cache_dir(length('./cache/')+1:end),imdbtest,suffix); Error in dss_marvin_script (line 255) runall([opt.feaName 'iter_' num2str(opt.iter)],[],opt.includegt,1,1,opt.box_reg,opt.proposal_dir,NYUonly); } 4 rootfolderWeb =fullfile(rootfolder,'web',[foldername suffix],'/'); dbstack > In visulization at 4 In runall at 83 In dss_marvin_script at 255 dbstack > In visulization at 4 In runall at 83 In dss_marvin_script at 255 dbup In workspace belonging to runall at 83 visulization(SUNRGBDMeta,cnn3d_model,cnn3d_model.conf.cache_dir(length('./cache/')+1:end),imdbtest,suffix); {Undefined function or variable 'rootfolder'. Error in visulization (line 4) rootfolderWeb =fullfile(cnn3d_model.webfolder,'web',[foldername suffix],'/'); } 4 rootfolderWeb =fullfile(cnn3d_model.webfolder,'web',[foldername suffix],'/'); dbquit dbquit visulization(SUNRGBDMeta,cnn3d_model,cnn3d_model.conf.cache_dir(length('./cache/')+1:end),imdbtest,suffix); {Undefined function or variable 'SUNRGBDMeta'. } dss_marvin_script(3,100,1,[],10000,3,3,100,0.25,5000,30,1,120,0,'RPN_multi_dpcv10.35top150_5000_fix',1,[],0,0,0,0) return: /n/fs/modelnet/deepDetect/proposal/RPN_multi_dpcv10.35top150_5000_fix//boxes_NYU_po_train_diff_nb2000_fb.list return: /n/fs/modelnet/deepDetect/proposal/RPN_multi_dpcv10.35top150_5000_fix//boxes_NYU_po_test_nb2000_fb.list ans = 1 return: /n/fs/modelnet/deepDetect/proposal/RPN_multi_dpcv10.35top150_5000_fix//boxes_NYU_po_nb2000_fb.list [Warning: Directory already exists.] [> In dss_marvin_script at 178] [Warning: Directory already exists.] [> In dss_marvin_script at 182] [Warning: Directory already exists.] [> In dss_marvin_script at 183] [Warning: Directory already exists.] [> In dss_marvin_script at 184] [Warning: Directory already exists.] [> In dss_marvin_script at 185] architecturefile = /n/fs/modelnet/deepDetect/code/marvin/DSS/define_3d/DSSopt_boxreg.json [Warning: Directory already exists.] [> In dss_marvin_script at 194] [Warning: Directory already exists.] [> In dss_marvin_script at 195] [Warning: Directory already exists.] [> In dss_marvin_script at 196] trainscriptstring = #!/usr/bin/env sh export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cudnn/v3/lib64: trancnnCmd = cd /n/fs/modelnet/deepDetect/code/marvin/ .//n/fs/modelnet/deepDetect/code/marvin/DSS/define_3d/dss_100_breg120_RPN_multi_dpcv10.35top150_5000_fix_bs3_boxreg/train.sh loading ... /n/fs/modelnet/deepDetect/proposal/RPN_multi_dpcv10.35top150_5000_fix//boxes_NYU_po_nb2000_fb.mat loading ... /home/shurans/deepDetectLocal/feature//dss_100_breg120_RPN_multi_dpcv10.35top150_5000_fix_bs3_boxregiter_10000//po/fc5.tensor loading ... /home/shurans/deepDetectLocal/feature//dss_100_breg120_RPN_multi_dpcv10.35top150_5000_fix_bs3_boxregiter_10000//po/fc6.tensor loading ... /home/shurans/deepDetectLocal/feature//dss_100_breg120_RPN_multi_dpcv10.35top150_5000_fix_bs3_boxregiter_10000//po/box_pred.tensor skip: /n/fs/modelnet/deepDetect/feature/dss_100_breg120_RPN_multi_dpcv10.35top150_5000_fix_bs3_boxregiter_10000/po/SUNRGBD/kv1/NYUdata/NYU0001.mat skip: /n/fs/modelnet/deepDetect/feature/dss_100_breg120_RPN_multi_dpcv10.35top150_5000_fix_bs3_boxregiter_10000/po/SUNRGBD/kv1/NYUdata/NYU0002.mat skip: /n/fs/modelnet/deepDetect/feature/dss_100_breg120_RPN_multi_dpcv10.35top150_5000_fix_bs3_boxregiter_10000/po/SUNRGBD/kv1/NYUdata/NYU0009.mat skip: /n/fs/modelnet/deepDetect/feature/dss_100_breg120_RPN_multi_dpcv10.35top150_5000_fix_bs3_boxregiter_10000/po/SUNRGBD/kv1/NYUdata/NYU0014.mat skip: 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/n/fs/modelnet/deepDetect/feature/dss_100_breg120_RPN_multi_dpcv10.35top150_5000_fix_bs3_boxregiter_10000/po/SUNRGBD/kv1/NYUdata/NYU1436.mat skip: /n/fs/modelnet/deepDetect/feature/dss_100_breg120_RPN_multi_dpcv10.35top150_5000_fix_bs3_boxregiter_10000/po/SUNRGBD/kv1/NYUdata/NYU1437.mat skip: /n/fs/modelnet/deepDetect/feature/dss_100_breg120_RPN_multi_dpcv10.35top150_5000_fix_bs3_boxregiter_10000/po/SUNRGBD/kv1/NYUdata/NYU1438.mat skip: /n/fs/modelnet/deepDetect/feature/dss_100_breg120_RPN_multi_dpcv10.35top150_5000_fix_bs3_boxregiter_10000/po/SUNRGBD/kv1/NYUdata/NYU1439.mat skip: /n/fs/modelnet/deepDetect/feature/dss_100_breg120_RPN_multi_dpcv10.35top150_5000_fix_bs3_boxregiter_10000/po/SUNRGBD/kv1/NYUdata/NYU1440.mat classifyAcc =0.920816 ../cache/dss_100_breg120_RPN_multi_dpcv10.35top150_5000_fix_bs3_boxregiter_10000/ [Warning: Directory already exists.] [> In runall at 12 In dss_marvin_script at 255] average norm = 15.839 feat_opts = svm_C: 1.0000e-03 bias_mult: 10 pos_loss_weight: 2 layer: 5 checkpoint: 100 max_hard_epochs: 1 retrain_limit: 2000 evict_thresh: -1.2000 hard_thresh: -1.0001 neg_ovr_thresh: 0.1000 pos_ovr_thresh: 0.3000 addboxsize: 1 onlygtbox: 0 combinefea: 0 normfea: 0 pos_include_po: 1 pos_include_gt: 0 rb_dis: 1 box_reg: 1 proposal_dir: '/n/fs/modelnet/deepDetect/proposal/RPN_multi_dpcv10.35top150_5000_fix/' fullbox: 1 feat_norm_mean: 15.8389 conf = feaName: 'dss_100_breg120_RPN_multi_dpcv10.35top150_5000_fix_bs3_boxregiter_10000' SUNrgbd_toolbox: './external/SUNRGBDtoolbox/' dataRoot: '/n/fs/sun3d/data/' feat_root: '/n/fs/modelnet/deepDetect/feature/' feat_cachedir: '/n/fs/modelnet/deepDetect/feature//dss_100_breg120_RPN_multi_dpcv10.35top150_5000_fix_bs3_boxregiter_10000/' sizemodel_dir: './sizedistrubution/sizedata_full/' cache_dir: '../cache/dss_100_breg120_RPN_multi_dpcv10.35top150_5000_fix_bs3_boxregiter_10000/' 0.531698 0.793305 0.147896 0.002368 0.589479 0.171086 0.253369 0.000082 0.304685 0.119344 0.210506 0.012465 0.412033 0.158578 0.565913 0.584125 0.462223 0.080908 0.644941 mAP :0.318158 ../../web/dss_100_breg120_RPN_multi_dpcv10.35top150_5000_fix_bs3_boxregiter_10000/_breg_rmbadsize_breg/ �O �O �O �O �O �O �O �O �O �O �O �O �O �O �O �O �O �O �O{Undefined function 'ptsInTightBB' for input arguments of type 'struct'. Error in vis_applyBbMaskTightBB (line 9) isInBb = ptsInTightBB(points,tightBB); Error in visulization (line 52) imageMaskImag = vis_applyBbMaskTightBB(rgb,points,data,all_boxes(boxid),gtBB,[0,1,0]); Error in runall (line 83) visulization(SUNRGBDMeta,cnn3d_model,cnn3d_model.conf.cache_dir(length('./cache/')+1:end),imdbtest,suffix); Error in dss_marvin_script (line 255) runall([opt.feaName 'iter_' num2str(opt.iter)],[],opt.includegt,1,1,opt.box_reg,opt.proposal_dir,NYUonly); } 9 isInBb = ptsInTightBB(points,tightBB); dbstack > In vis_applyBbMaskTightBB at 9 In visulization at 52 In runall at 83 In dss_marvin_script at 255 dbup In workspace belonging to visulization at 52 dbup In workspace belonging to runall at 83 visulization(SUNRGBDMeta,cnn3d_model,cnn3d_model.conf.cache_dir(length('./cache/')+1:end),imdbtest,suffix); ../../web/dss_100_breg120_RPN_multi_dpcv10.35top150_5000_fix_bs3_boxregiter_10000/_breg_rmbadsize_breg/ [Warning: Directory already exists.] [> In visulization at 6 In vis_applyBbMaskTightBB at 9 In visulization at 52 In runall at 83 In dss_marvin_script at 255] dbquit exit