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mt/tools/elbow_structure.txt
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=== Results for ae_elbow_results_subter_LeNet_dim_32_kfold.pkl ===
dimension:
32
ae_results:
fold_0:
train:
time:
47.35341715812683
indices:
[ 6547 6096 17322 ... 14590 6764 6219]
labels_exp_based:
[1 1 1 ... 1 1 1]
labels_manual_based:
[1 1 1 ... 1 1 1]
semi_targets:
[1 1 1 ... 1 1 1]
file_ids:
[8 5 0 ... 1 9 1]
frame_ids:
[1260 569 2387 ... 3064 205 1096]
scores:
[0.06785126 0.13130851 0.10918648 ... 0.04708466 0.03133186 0.05559417]
loss:
0.07233340218663216
file_names:
0:
1_loop_closure_illuminated_2023-01-23.npy
1:
1_loop_closure_illuminated_two_LiDARs_2023-01-23.npy
2:
2_human_static_illuminated_2023-01-23-001.npy
3:
2_human_static_no_illumination_2023-01-23-001.npy
4:
2_human_walking_illuminated_2023-01-23-001.npy
5:
2_human_walking_no_illumination_2023-01-23-001.npy
6:
2_static_artifacts_illuminated_2023-01-23-001.npy
7:
2_static_artifacts_no_illumination_2023-01-23-001.npy
8:
2_static_no_artifacts_illuminated_2023-01-23-001.npy
9:
2_static_no_artifacts_no_illumination_2023-01-23-001.npy
10:
3_smoke_artifacts_human_static_2023-01-23-001.npy
11:
3_smoke_human_walking_2023-01-23.npy
12:
3_smoke_no_artifacts_2023-01-23.npy
13:
3_smoke_robot_stationary_static_excess_smoke_2023-01-23.npy
test:
time:
3.2727890014648438
indices:
[ 0 1 2 ... 5883 5884 5885]
labels_exp_based:
[ 1 1 1 ... -1 1 -1]
labels_manual_based:
[ 1 1 1 ... -1 1 -1]
semi_targets:
[ 1 1 1 ... -1 1 -1]
file_ids:
[ 0 1 3 ... 11 0 12]
frame_ids:
[3373 2260 81 ... 405 1342 335]
scores:
[0.28987885 0.06485476 0.03065375 ... 0.26596928 0.03807792 0.46061364]
loss:
0.06829473586833995
file_names:
0:
1_loop_closure_illuminated_2023-01-23.npy
1:
1_loop_closure_illuminated_two_LiDARs_2023-01-23.npy
2:
2_human_static_illuminated_2023-01-23-001.npy
3:
2_human_static_no_illumination_2023-01-23-001.npy
4:
2_human_walking_illuminated_2023-01-23-001.npy
5:
2_human_walking_no_illumination_2023-01-23-001.npy
6:
2_static_artifacts_illuminated_2023-01-23-001.npy
7:
2_static_artifacts_no_illumination_2023-01-23-001.npy
8:
2_static_no_artifacts_illuminated_2023-01-23-001.npy
9:
2_static_no_artifacts_no_illumination_2023-01-23-001.npy
10:
3_smoke_artifacts_human_static_2023-01-23-001.npy
11:
3_smoke_human_walking_2023-01-23.npy
12:
3_smoke_no_artifacts_2023-01-23.npy
13:
3_smoke_robot_stationary_static_excess_smoke_2023-01-23.npy
fold_1:
train:
time:
46.584895849227905
indices:
[14909 2898 15177 ... 3185 2297 2518]
labels_exp_based:
[ 1 1 1 ... 1 -1 1]
labels_manual_based:
[ 1 1 1 ... 1 -1 1]
semi_targets:
[ 1 1 1 ... 1 -1 1]
file_ids:
[ 5 6 1 ... 7 13 4]
frame_ids:
[ 936 606 3193 ... 989 86 844]
scores:
[0.10743871 0.17937626 0.3385203 ... 0.02518196 0.3909377 0.02823789]
loss:
0.06587159360448519
file_names:
0:
1_loop_closure_illuminated_2023-01-23.npy
1:
1_loop_closure_illuminated_two_LiDARs_2023-01-23.npy
2:
2_human_static_illuminated_2023-01-23-001.npy
3:
2_human_static_no_illumination_2023-01-23-001.npy
4:
2_human_walking_illuminated_2023-01-23-001.npy
5:
2_human_walking_no_illumination_2023-01-23-001.npy
6:
2_static_artifacts_illuminated_2023-01-23-001.npy
7:
2_static_artifacts_no_illumination_2023-01-23-001.npy
8:
2_static_no_artifacts_illuminated_2023-01-23-001.npy
9:
2_static_no_artifacts_no_illumination_2023-01-23-001.npy
10:
3_smoke_artifacts_human_static_2023-01-23-001.npy
11:
3_smoke_human_walking_2023-01-23.npy
12:
3_smoke_no_artifacts_2023-01-23.npy
13:
3_smoke_robot_stationary_static_excess_smoke_2023-01-23.npy
test:
time:
3.254101037979126
indices:
[ 5886 5887 5888 ... 11769 11770 11771]
labels_exp_based:
[ 1 1 -1 ... 1 1 1]
labels_manual_based:
[1 1 0 ... 1 1 1]
semi_targets:
[1 1 0 ... 1 1 1]
file_ids:
[ 0 1 12 ... 0 1 7]
frame_ids:
[2943 4 179 ... 348 663 423]
scores:
[0.02836892 0.03712069 0.13963991 ... 0.07210366 0.02482101 0.07186633]
loss:
0.059809695119443146
file_names:
0:
1_loop_closure_illuminated_2023-01-23.npy
1:
1_loop_closure_illuminated_two_LiDARs_2023-01-23.npy
2:
2_human_static_illuminated_2023-01-23-001.npy
3:
2_human_static_no_illumination_2023-01-23-001.npy
4:
2_human_walking_illuminated_2023-01-23-001.npy
5:
2_human_walking_no_illumination_2023-01-23-001.npy
6:
2_static_artifacts_illuminated_2023-01-23-001.npy
7:
2_static_artifacts_no_illumination_2023-01-23-001.npy
8:
2_static_no_artifacts_illuminated_2023-01-23-001.npy
9:
2_static_no_artifacts_no_illumination_2023-01-23-001.npy
10:
3_smoke_artifacts_human_static_2023-01-23-001.npy
11:
3_smoke_human_walking_2023-01-23.npy
12:
3_smoke_no_artifacts_2023-01-23.npy
13:
3_smoke_robot_stationary_static_excess_smoke_2023-01-23.npy
fold_2:
train:
time:
47.0039427280426
indices:
[ 4709 10566 1669 ... 4887 6760 1348]
labels_exp_based:
[1 1 1 ... 1 1 1]
labels_manual_based:
[1 1 1 ... 1 1 1]
semi_targets:
[1 1 1 ... 1 1 1]
file_ids:
[0 6 1 ... 8 5 0]
frame_ids:
[1701 990 2584 ... 1036 610 449]
scores:
[0.07715754 0.07710524 0.11718763 ... 0.03398419 0.07341428 0.03260035]
loss:
0.06793700895375676
file_names:
0:
1_loop_closure_illuminated_2023-01-23.npy
1:
1_loop_closure_illuminated_two_LiDARs_2023-01-23.npy
2:
2_human_static_illuminated_2023-01-23-001.npy
3:
2_human_static_no_illumination_2023-01-23-001.npy
4:
2_human_walking_illuminated_2023-01-23-001.npy
5:
2_human_walking_no_illumination_2023-01-23-001.npy
6:
2_static_artifacts_illuminated_2023-01-23-001.npy
7:
2_static_artifacts_no_illumination_2023-01-23-001.npy
8:
2_static_no_artifacts_illuminated_2023-01-23-001.npy
9:
2_static_no_artifacts_no_illumination_2023-01-23-001.npy
10:
3_smoke_artifacts_human_static_2023-01-23-001.npy
11:
3_smoke_human_walking_2023-01-23.npy
12:
3_smoke_no_artifacts_2023-01-23.npy
13:
3_smoke_robot_stationary_static_excess_smoke_2023-01-23.npy
test:
time:
3.3094074726104736
indices:
[11772 11773 11774 ... 17655 17656 17657]
labels_exp_based:
[1 1 1 ... 1 1 1]
labels_manual_based:
[1 1 1 ... 1 1 1]
semi_targets:
[1 1 1 ... 1 1 1]
file_ids:
[7 8 0 ... 4 5 0]
frame_ids:
[ 98 1000 873 ... 674 541 2732]
scores:
[0.033662 0.03786198 0.04839528 ... 0.07525856 0.07365932 0.0603102 ]
loss:
0.06470830592772235
file_names:
0:
1_loop_closure_illuminated_2023-01-23.npy
1:
1_loop_closure_illuminated_two_LiDARs_2023-01-23.npy
2:
2_human_static_illuminated_2023-01-23-001.npy
3:
2_human_static_no_illumination_2023-01-23-001.npy
4:
2_human_walking_illuminated_2023-01-23-001.npy
5:
2_human_walking_no_illumination_2023-01-23-001.npy
6:
2_static_artifacts_illuminated_2023-01-23-001.npy
7:
2_static_artifacts_no_illumination_2023-01-23-001.npy
8:
2_static_no_artifacts_illuminated_2023-01-23-001.npy
9:
2_static_no_artifacts_no_illumination_2023-01-23-001.npy
10:
3_smoke_artifacts_human_static_2023-01-23-001.npy
11:
3_smoke_human_walking_2023-01-23.npy
12:
3_smoke_no_artifacts_2023-01-23.npy
13:
3_smoke_robot_stationary_static_excess_smoke_2023-01-23.npy
k_fold:
True
k_fold_num:
3
=== Results for ae_elbow_results_subter_LeNet_dim_64_kfold.pkl ===
dimension:
64
ae_results:
fold_0:
train:
time:
47.33047151565552
indices:
[11876 12634 14187 ... 13309 8275 16184]
labels_exp_based:
[ 1 -1 1 ... 1 1 1]
labels_manual_based:
[1 0 1 ... 1 1 1]
semi_targets:
[1 0 1 ... 1 1 1]
file_ids:
[ 4 12 8 ... 0 7 4]
frame_ids:
[ 545 63 1159 ... 441 992 700]
scores:
[0.13897061 0.08483056 0.07720029 ... 0.02398726 0.02211376 0.05582099]
loss:
0.05624731986059083
file_names:
0:
1_loop_closure_illuminated_2023-01-23.npy
1:
1_loop_closure_illuminated_two_LiDARs_2023-01-23.npy
2:
2_human_static_illuminated_2023-01-23-001.npy
3:
2_human_static_no_illumination_2023-01-23-001.npy
4:
2_human_walking_illuminated_2023-01-23-001.npy
5:
2_human_walking_no_illumination_2023-01-23-001.npy
6:
2_static_artifacts_illuminated_2023-01-23-001.npy
7:
2_static_artifacts_no_illumination_2023-01-23-001.npy
8:
2_static_no_artifacts_illuminated_2023-01-23-001.npy
9:
2_static_no_artifacts_no_illumination_2023-01-23-001.npy
10:
3_smoke_artifacts_human_static_2023-01-23-001.npy
11:
3_smoke_human_walking_2023-01-23.npy
12:
3_smoke_no_artifacts_2023-01-23.npy
13:
3_smoke_robot_stationary_static_excess_smoke_2023-01-23.npy
test:
time:
3.393460512161255
indices:
[ 0 1 2 ... 5883 5884 5885]
labels_exp_based:
[ 1 1 1 ... -1 1 -1]
labels_manual_based:
[ 1 1 1 ... -1 1 -1]
semi_targets:
[ 1 1 1 ... -1 1 -1]
file_ids:
[ 0 1 3 ... 11 0 12]
frame_ids:
[3373 2260 81 ... 405 1342 335]
scores:
[0.19174853 0.04987323 0.0225831 ... 0.19634478 0.03153864 0.39142317]
loss:
0.05257830946989681
file_names:
0:
1_loop_closure_illuminated_2023-01-23.npy
1:
1_loop_closure_illuminated_two_LiDARs_2023-01-23.npy
2:
2_human_static_illuminated_2023-01-23-001.npy
3:
2_human_static_no_illumination_2023-01-23-001.npy
4:
2_human_walking_illuminated_2023-01-23-001.npy
5:
2_human_walking_no_illumination_2023-01-23-001.npy
6:
2_static_artifacts_illuminated_2023-01-23-001.npy
7:
2_static_artifacts_no_illumination_2023-01-23-001.npy
8:
2_static_no_artifacts_illuminated_2023-01-23-001.npy
9:
2_static_no_artifacts_no_illumination_2023-01-23-001.npy
10:
3_smoke_artifacts_human_static_2023-01-23-001.npy
11:
3_smoke_human_walking_2023-01-23.npy
12:
3_smoke_no_artifacts_2023-01-23.npy
13:
3_smoke_robot_stationary_static_excess_smoke_2023-01-23.npy
fold_1:
train:
time:
47.514824867248535
indices:
[13393 1405 12413 ... 14812 397 14801]
labels_exp_based:
[ 1 -1 1 ... -1 1 1]
labels_manual_based:
[ 1 0 1 ... -1 1 1]
semi_targets:
[ 1 0 1 ... -1 1 1]
file_ids:
[ 3 10 8 ... 10 9 7]
frame_ids:
[1059 161 236 ... 368 480 145]
scores:
[0.08272791 0.17799513 0.07856707 ... 0.16969317 0.09914576 0.04465985]
loss:
0.08280573851532406
file_names:
0:
1_loop_closure_illuminated_2023-01-23.npy
1:
1_loop_closure_illuminated_two_LiDARs_2023-01-23.npy
2:
2_human_static_illuminated_2023-01-23-001.npy
3:
2_human_static_no_illumination_2023-01-23-001.npy
4:
2_human_walking_illuminated_2023-01-23-001.npy
5:
2_human_walking_no_illumination_2023-01-23-001.npy
6:
2_static_artifacts_illuminated_2023-01-23-001.npy
7:
2_static_artifacts_no_illumination_2023-01-23-001.npy
8:
2_static_no_artifacts_illuminated_2023-01-23-001.npy
9:
2_static_no_artifacts_no_illumination_2023-01-23-001.npy
10:
3_smoke_artifacts_human_static_2023-01-23-001.npy
11:
3_smoke_human_walking_2023-01-23.npy
12:
3_smoke_no_artifacts_2023-01-23.npy
13:
3_smoke_robot_stationary_static_excess_smoke_2023-01-23.npy
test:
time:
3.303018808364868
indices:
[ 5886 5887 5888 ... 11769 11770 11771]
labels_exp_based:
[ 1 1 -1 ... 1 1 1]
labels_manual_based:
[1 1 0 ... 1 1 1]
semi_targets:
[1 1 0 ... 1 1 1]
file_ids:
[ 0 1 12 ... 0 1 7]
frame_ids:
[2943 4 179 ... 348 663 423]
scores:
[0.03737867 0.05766786 0.15279752 ... 0.07271019 0.04369381 0.10203677]
loss:
0.07809325761121252
file_names:
0:
1_loop_closure_illuminated_2023-01-23.npy
1:
1_loop_closure_illuminated_two_LiDARs_2023-01-23.npy
2:
2_human_static_illuminated_2023-01-23-001.npy
3:
2_human_static_no_illumination_2023-01-23-001.npy
4:
2_human_walking_illuminated_2023-01-23-001.npy
5:
2_human_walking_no_illumination_2023-01-23-001.npy
6:
2_static_artifacts_illuminated_2023-01-23-001.npy
7:
2_static_artifacts_no_illumination_2023-01-23-001.npy
8:
2_static_no_artifacts_illuminated_2023-01-23-001.npy
9:
2_static_no_artifacts_no_illumination_2023-01-23-001.npy
10:
3_smoke_artifacts_human_static_2023-01-23-001.npy
11:
3_smoke_human_walking_2023-01-23.npy
12:
3_smoke_no_artifacts_2023-01-23.npy
13:
3_smoke_robot_stationary_static_excess_smoke_2023-01-23.npy
fold_2:
train:
time:
49.39735269546509
indices:
[6159 8197 617 ... 5118 8505 8730]
labels_exp_based:
[1 1 1 ... 1 1 1]
labels_manual_based:
[1 1 1 ... 1 1 1]
semi_targets:
[1 1 1 ... 1 1 1]
file_ids:
[1 1 0 ... 6 5 0]
frame_ids:
[ 113 169 48 ... 741 231 2666]
scores:
[0.0654774 0.06249695 0.06091163 ... 0.01456711 0.0128163 0.0202495 ]
loss:
0.03804728595746888
file_names:
0:
1_loop_closure_illuminated_2023-01-23.npy
1:
1_loop_closure_illuminated_two_LiDARs_2023-01-23.npy
2:
2_human_static_illuminated_2023-01-23-001.npy
3:
2_human_static_no_illumination_2023-01-23-001.npy
4:
2_human_walking_illuminated_2023-01-23-001.npy
5:
2_human_walking_no_illumination_2023-01-23-001.npy
6:
2_static_artifacts_illuminated_2023-01-23-001.npy
7:
2_static_artifacts_no_illumination_2023-01-23-001.npy
8:
2_static_no_artifacts_illuminated_2023-01-23-001.npy
9:
2_static_no_artifacts_no_illumination_2023-01-23-001.npy
10:
3_smoke_artifacts_human_static_2023-01-23-001.npy
11:
3_smoke_human_walking_2023-01-23.npy
12:
3_smoke_no_artifacts_2023-01-23.npy
13:
3_smoke_robot_stationary_static_excess_smoke_2023-01-23.npy
test:
time:
3.464538812637329
indices:
[11772 11773 11774 ... 17655 17656 17657]
labels_exp_based:
[1 1 1 ... 1 1 1]
labels_manual_based:
[1 1 1 ... 1 1 1]
semi_targets:
[1 1 1 ... 1 1 1]
file_ids:
[7 8 0 ... 4 5 0]
frame_ids:
[ 98 1000 873 ... 674 541 2732]
scores:
[0.01374984 0.01219883 0.01543648 ... 0.01943305 0.01877283 0.02498569]
loss:
0.03719014423372953
file_names:
0:
1_loop_closure_illuminated_2023-01-23.npy
1:
1_loop_closure_illuminated_two_LiDARs_2023-01-23.npy
2:
2_human_static_illuminated_2023-01-23-001.npy
3:
2_human_static_no_illumination_2023-01-23-001.npy
4:
2_human_walking_illuminated_2023-01-23-001.npy
5:
2_human_walking_no_illumination_2023-01-23-001.npy
6:
2_static_artifacts_illuminated_2023-01-23-001.npy
7:
2_static_artifacts_no_illumination_2023-01-23-001.npy
8:
2_static_no_artifacts_illuminated_2023-01-23-001.npy
9:
2_static_no_artifacts_no_illumination_2023-01-23-001.npy
10:
3_smoke_artifacts_human_static_2023-01-23-001.npy
11:
3_smoke_human_walking_2023-01-23.npy
12:
3_smoke_no_artifacts_2023-01-23.npy
13:
3_smoke_robot_stationary_static_excess_smoke_2023-01-23.npy
k_fold:
True
k_fold_num:
3