=== 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