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@@ -37,3 +37,7 @@ E2E800MFS_SL_TTAV3(1.0)_FP16_8GPU_50epochs_lr1e-3_bs10_seed42/pr_curves_tol_0.pn
 E2E800MFS_SL_TTAV3(1.0)_FP16_8GPU_50epochs_lr1e-3_bs10_seed42/pr_curves_tol_1.png filter=lfs diff=lfs merge=lfs -text
 E2E800MFS_SL_TTAV3(1.0)_FP16_8GPU_50epochs_lr1e-3_bs10_seed42/pr_curves_tol_2.png filter=lfs diff=lfs merge=lfs -text
 E2E800MFS_SL_TTAV3(1.0)_FP16_8GPU_50epochs_lr1e-3_bs10_seed42/pr_curves_tol_4.png filter=lfs diff=lfs merge=lfs -text
+E2E800GSM_SL_TTAV5(1.0)_FP16_2GPU_50epochs_lr1e-3_bs10_seed42/pr_curves_tol_0.png filter=lfs diff=lfs merge=lfs -text
+E2E800GSM_SL_TTAV5(1.0)_FP16_2GPU_50epochs_lr1e-3_bs10_seed42/pr_curves_tol_1.png filter=lfs diff=lfs merge=lfs -text
+E2E800GSM_SL_TTAV5(1.0)_FP16_2GPU_50epochs_lr1e-3_bs10_seed42/pr_curves_tol_2.png filter=lfs diff=lfs merge=lfs -text
+E2E800GSM_SL_TTAV5(1.0)_FP16_2GPU_50epochs_lr1e-3_bs10_seed42/pr_curves_tol_4.png filter=lfs diff=lfs merge=lfs -text

E2E800GSM_SL_TTAV5(1.0)_FP16_2GPU_50epochs_lr1e-3_bs10_seed42/E2E800GSM_SL_TTAV5(1.0)_FP16_2GPU_50epochs_lr1e-3_bs10_seed42_eval.txt

@@ -0,0 +1,53 @@
+Log file created at Thu May  7 15:00:31 2026
+ataset <<<<<<<<<<<<
+World size (GPUs): 2
+GPU name: NVIDIA A100-SXM4-40GB
+GPU memory: 42.29 GB
+Tolerances: [0, 1, 2, 4]
+Batch size: 10 | Workers: 8
+Test dataset size: 1193
+Saving predictions: ../logs/E2E800GSM_SL_TTAV5(1.0)_FP16_2GPU_50epochs_lr1e-3_bs10_seed42/pred-test.json
+=== Results on validation (w/o NMS) ===
+Error (frame-level): 1.81
+
+Exact frame            F1    TP    FP    FN
+------------------  -----  ----  ----  ----
+any                 51.41   565   567   501
+close_table_bounce  60.45   162   103   109
+close_table_serve   42.86    30    44    36
+close_table_shot    44.00    88   130    94
+far_table_bounce    59.42   175   131   108
+far_table_serve     35.09    20    27    47
+far_table_shot      35.80    75   147   122
+
+=== Results (w/o NMS) ===
+AP @ tol                0      1      2      4
+------------------  -----  -----  -----  -----
+close_table_bounce  57.10  71.40  73.85  74.68
+close_table_serve   39.60  59.77  62.53  63.17
+close_table_shot    36.62  62.16  65.83  67.19
+far_table_bounce    56.43  73.03  74.37  75.11
+far_table_serve     26.14  50.53  57.09  59.37
+far_table_shot      32.61  52.22  58.19  63.34
+mAP                 41.42  61.52  65.31  67.14
+Avg mAP (across tolerances): 58.85
+
+=== Results (w/ NMS) ===
+AP @ tol                0      1      2      4
+------------------  -----  -----  -----  -----
+close_table_bounce  48.69  74.18  79.01  79.99
+close_table_serve   28.43  64.72  69.67  73.16
+close_table_shot    22.98  66.90  72.13  74.15
+far_table_bounce    45.69  78.08  80.11  80.88
+far_table_serve     14.87  50.94  69.62  73.06
+far_table_shot      23.24  57.71  66.89  73.58
+mAP                 30.65  65.42  72.90  75.80
+Avg mAP (across tolerances): 61.19
+Model Complexity Summary:
+  MACs: 8.245e+10
+  GFLOPs: 164.90
+  Params: 12.62 M
+  Model Size: 48.14 MB
+  Avg Latency: 31.18 ms/clip
+  Throughput: 32.07 clips/s
+  Throughput: 3206.94 frames/s

E2E800GSM_SL_TTAV5(1.0)_FP16_2GPU_50epochs_lr1e-3_bs10_seed42/E2E800GSM_SL_TTAV5(1.0)_FP16_2GPU_50epochs_lr1e-3_bs10_seed42_train.txt

@@ -0,0 +1,1176 @@
+Log file created at Thu May  7 11:22:12 2026
+Logs and model checkpoints will be saved to: ../logs/E2E800GSM_SL_TTAV5(1.0)_FP16_2GPU_50epochs_lr1e-3_bs10_seed42
+Running on 2 GPU(s)
+Seed: 42
+CPUs available for DataLoader workers: 40
+num workers for DataLoader: 8
+Random seed set to: 42
+Number of classes: 6
+Training dataset size: 5000 clips
+Validation dataset size: 1250 clips
+Effective total batch size: 20
+Model initialized with configuration: {'base_model': 'regnety_008', 'temporal_shift_mode': 'gsm', 'num_frames_clip': 100, 'num_classes': 7, 'cbam': False, 'gru_layers': 1}
+Tolerance values for mAP evaluation: [0, 1, 2, 4]
+>>>>>>>>>>>>>>>Setup complete. Starting training...<<<<<<<<<<<<<
+--- Epoch 0/50 ---
+Training Loss: 0.4747
+Learning Rate after epoch 0: 0.00033964079862031674
+--- Epoch 1/50 ---
+Training Loss: 0.3673
+Learning Rate after epoch 1: 0.0006670954011389779
+--- Epoch 2/50 ---
+Training Loss: 0.3410
+Learning Rate after epoch 2: 0.0009901729617959414
+--- Epoch 3/50 ---
+Training Loss: 0.3471
+Learning Rate after epoch 3: 0.0009825034402290535
+--- Epoch 4/50 ---
+Training Loss: 0.3487
+Learning Rate after epoch 4: 0.0009727014797233674
+--- Epoch 5/50 ---
+Training Loss: 0.3181
+Learning Rate after epoch 5: 0.0009608108582139742
+--- Epoch 6/50 ---
+Training Loss: 0.3307
+Learning Rate after epoch 6: 0.0009468846821030194
+--- Epoch 7/50 ---
+Training Loss: 0.3221
+Learning Rate after epoch 7: 0.0009309851490736428
+--- Epoch 8/50 ---
+Training Loss: 0.3116
+Learning Rate after epoch 8: 0.000913183270300026
+--- Epoch 9/50 ---
+Training Loss: 0.3046
+Learning Rate after epoch 9: 0.0008935585532942426
+--- Epoch 10/50 ---
+Training Loss: 0.3046
+Learning Rate after epoch 10: 0.0008721986468064141
+Synchronizing results across GPUs...
+=== Results on validation (w/o NMS) ===
+Error (frame-level): 2.08
+
+Exact frame            F1    TP    FP    FN
+------------------  -----  ----  ----  ----
+any                 42.78   480   821   463
+close_table_bounce  48.40   106   103   123
+close_table_serve   30.70    33   122    27
+close_table_shot    41.19    90   172    85
+far_table_bounce    48.31   143   206   100
+far_table_serve     17.07     7    12    56
+far_table_shot      40.42    97   210    76
+
+AP Table:
+AP @ tol                0      1      2      4
+------------------  -----  -----  -----  -----
+close_table_bounce  47.99  67.24  68.83  69.41
+close_table_serve   20.13  41.63  44.97  45.10
+close_table_shot    33.95  60.36  63.26  63.80
+far_table_bounce    45.47  63.80  66.11  66.51
+far_table_serve     26.30  37.48  40.69  45.10
+far_table_shot      35.56  52.51  57.68  58.87
+mAP                 34.90  53.84  56.92  58.13
+Avg mAP (across tolerances): 50.95
+Best model saved with mAP: 56.2975
+--- Epoch 11/50 ---
+Training Loss: 0.3065
+Learning Rate after epoch 11: 0.0008491989493641099
+Synchronizing results across GPUs...
+=== Results on validation (w/o NMS) ===
+Error (frame-level): 1.77
+
+Exact frame            F1    TP    FP    FN
+------------------  -----  ----  ----  ----
+any                 46.32   472   623   471
+close_table_bounce  47.51   124   169   105
+close_table_serve   15.91     7    21    53
+close_table_shot    46.50   103   165    72
+far_table_bounce    51.37   131   136   112
+far_table_serve     45.22    26    26    37
+far_table_shot      41.11    74   113    99
+
+AP Table:
+AP @ tol                0      1      2      4
+------------------  -----  -----  -----  -----
+close_table_bounce  49.47  71.62  73.62  73.71
+close_table_serve   21.98  36.75  39.54  44.61
+close_table_shot    39.77  56.77  64.27  65.42
+far_table_bounce    47.20  68.22  72.05  72.87
+far_table_serve     41.17  60.45  61.79  65.71
+far_table_shot      37.85  50.33  53.54  54.89
+mAP                 39.57  57.36  60.80  62.87
+Avg mAP (across tolerances): 55.15
+Best model saved with mAP: 60.3424
+--- Epoch 12/50 ---
+Training Loss: 0.2895
+Learning Rate after epoch 12: 0.0008246621831993696
+Synchronizing results across GPUs...
+=== Results on validation (w/o NMS) ===
+Error (frame-level): 1.69
+
+Exact frame            F1    TP    FP    FN
+------------------  -----  ----  ----  ----
+any                 45.86   440   536   503
+close_table_bounce  48.26   125   164   104
+close_table_serve   19.75     8    13    52
+close_table_shot    37.69    62    92   113
+far_table_bounce    52.95   130   118   113
+far_table_serve     33.96    18    25    45
+far_table_shot      44.67    88   133    85
+
+AP Table:
+AP @ tol                0      1      2      4
+------------------  -----  -----  -----  -----
+close_table_bounce  48.45  69.81  73.88  74.23
+close_table_serve   24.25  38.13  46.61  53.74
+close_table_shot    34.49  52.52  56.47  57.23
+far_table_bounce    52.75  71.40  74.31  74.83
+far_table_serve     34.03  49.43  54.11  59.08
+far_table_shot      39.30  56.12  62.30  63.98
+mAP                 38.88  56.24  61.28  63.85
+Avg mAP (across tolerances): 55.06
+Best model saved with mAP: 60.4544
+--- Epoch 13/50 ---
+Training Loss: 0.3017
+Learning Rate after epoch 13: 0.0007986979354662755
+Synchronizing results across GPUs...
+=== Results on validation (w/o NMS) ===
+Error (frame-level): 1.69
+
+Exact frame            F1    TP    FP    FN
+------------------  -----  ----  ----  ----
+any                 46.84   460   561   483
+close_table_bounce  45.27    98   106   131
+close_table_serve   39.18    19    18    41
+close_table_shot    45.18    89   130    86
+far_table_bounce    53.88   132   115   111
+far_table_serve     40.00    27    45    36
+far_table_shot      44.34    92   150    81
+
+AP Table:
+AP @ tol                0      1      2      4
+------------------  -----  -----  -----  -----
+close_table_bounce  40.47  67.96  71.14  71.85
+close_table_serve   38.56  49.73  54.33  54.51
+close_table_shot    35.81  56.60  59.95  60.72
+far_table_bounce    53.28  71.36  73.04  74.00
+far_table_serve     37.04  53.83  55.33  59.35
+far_table_shot      42.44  58.47  62.01  63.61
+mAP                 41.27  59.66  62.63  64.00
+Avg mAP (across tolerances): 56.89
+Best model saved with mAP: 62.0993
+--- Epoch 14/50 ---
+Training Loss: 0.2953
+Learning Rate after epoch 14: 0.0007714221687981206
+Synchronizing results across GPUs...
+=== Results on validation (w/o NMS) ===
+Error (frame-level): 1.59
+
+Exact frame            F1    TP    FP    FN
+------------------  -----  ----  ----  ----
+any                 50.50   502   543   441
+close_table_bounce  52.70   127   126   102
+close_table_serve   52.63    30    24    30
+close_table_shot    45.03   102   176    73
+far_table_bounce    56.59   131    89   112
+far_table_serve     40.85    29    50    34
+far_table_shot      48.50    81    80    92
+
+AP Table:
+AP @ tol                0      1      2      4
+------------------  -----  -----  -----  -----
+close_table_bounce  50.03  69.90  71.36  71.48
+close_table_serve   45.13  60.13  61.90  64.32
+close_table_shot    40.71  63.54  69.10  69.93
+far_table_bounce    53.42  72.46  76.18  77.03
+far_table_serve     36.51  57.03  66.30  69.89
+far_table_shot      45.65  60.98  63.44  65.50
+mAP                 45.24  64.01  68.05  69.69
+Avg mAP (across tolerances): 61.75
+Best model saved with mAP: 67.2477
+--- Epoch 15/50 ---
+Training Loss: 0.2946
+Learning Rate after epoch 15: 0.0007429567033901387
+Synchronizing results across GPUs...
+=== Results on validation (w/o NMS) ===
+Error (frame-level): 1.75
+
+Exact frame            F1    TP    FP    FN
+------------------  -----  ----  ----  ----
+any                 44.87   442   585   501
+close_table_bounce  37.56    80   117   149
+close_table_serve   26.95    19    62    41
+close_table_shot    43.88    95   163    80
+far_table_bounce    57.98   138    95   105
+far_table_serve     44.74    34    55    29
+far_table_shot      43.27    74    95    99
+
+AP Table:
+AP @ tol                0      1      2      4
+------------------  -----  -----  -----  -----
+close_table_bounce  38.04  63.94  67.42  68.27
+close_table_serve   17.07  47.09  64.24  64.63
+close_table_shot    38.84  60.65  65.91  67.42
+far_table_bounce    56.81  69.59  71.72  72.40
+far_table_serve     45.41  63.69  67.91  69.86
+far_table_shot      44.29  63.38  65.64  66.69
+mAP                 40.08  61.39  67.14  68.21
+Avg mAP (across tolerances): 59.21
+--- Epoch 16/50 ---
+Training Loss: 0.2999
+Learning Rate after epoch 16: 0.0007134286729209378
+Synchronizing results across GPUs...
+=== Results on validation (w/o NMS) ===
+Error (frame-level): 1.79
+
+Exact frame            F1    TP    FP    FN
+------------------  -----  ----  ----  ----
+any                 44.55   439   589   504
+close_table_bounce  28.36    58   122   171
+close_table_serve   36.92    24    46    36
+close_table_shot    42.48   106   218    69
+far_table_bounce    57.03   140   108   103
+far_table_serve     40.34    24    32    39
+far_table_shot      44.58    72    78   101
+
+AP Table:
+AP @ tol                0      1      2      4
+------------------  -----  -----  -----  -----
+close_table_bounce  26.25  45.79  50.78  51.85
+close_table_serve   30.11  51.15  60.43  61.51
+close_table_shot    42.60  59.15  67.48  68.29
+far_table_bounce    56.12  70.67  72.15  72.46
+far_table_serve     38.27  54.49  58.39  59.44
+far_table_shot      45.91  59.47  61.18  61.90
+mAP                 39.88  56.79  61.73  62.57
+Avg mAP (across tolerances): 55.24
+--- Epoch 17/50 ---
+Training Loss: 0.3026
+Learning Rate after epoch 17: 0.000682969956742633
+Synchronizing results across GPUs...
+=== Results on validation (w/o NMS) ===
+Error (frame-level): 1.61
+
+Exact frame            F1    TP    FP    FN
+------------------  -----  ----  ----  ----
+any                 47.02   442   495   501
+close_table_bounce  40.42    77    75   152
+close_table_serve   39.66    23    33    37
+close_table_shot    43.14    77   105    98
+far_table_bounce    58.59   145   107    98
+far_table_serve     41.83    32    58    31
+far_table_shot      44.97    85   120    88
+
+AP Table:
+AP @ tol                0      1      2      4
+------------------  -----  -----  -----  -----
+close_table_bounce  40.21  61.47  63.59  64.40
+close_table_serve   32.75  52.23  57.51  57.59
+close_table_shot    38.43  60.61  67.64  69.43
+far_table_bounce    61.62  76.25  77.82  78.60
+far_table_serve     41.84  60.23  63.62  64.96
+far_table_shot      43.68  61.92  64.08  65.23
+mAP                 43.09  62.12  65.71  66.70
+Avg mAP (across tolerances): 59.41
+--- Epoch 18/50 ---
+Training Loss: 0.2914
+Learning Rate after epoch 18: 0.0006517165908756407
+Synchronizing results across GPUs...
+=== Results on validation (w/o NMS) ===
+Error (frame-level): 1.50
+
+Exact frame            F1    TP    FP    FN
+------------------  -----  ----  ----  ----
+any                 51.97   502   487   441
+close_table_bounce  53.06   117    95   112
+close_table_serve   44.23    23    21    37
+close_table_shot    51.00   102   123    73
+far_table_bounce    59.80   151   111    92
+far_table_serve     33.87    21    40    42
+far_table_shot      46.93    84   101    89
+
+AP Table:
+AP @ tol                0      1      2      4
+------------------  -----  -----  -----  -----
+close_table_bounce  53.01  72.31  73.84  74.17
+close_table_serve   46.92  66.22  70.75  71.78
+close_table_shot    47.20  68.80  74.88  75.34
+far_table_bounce    60.42  75.71  77.20  77.80
+far_table_serve     34.06  46.43  48.48  49.58
+far_table_shot      46.69  63.44  67.04  68.64
+mAP                 48.05  65.48  68.70  69.55
+Avg mAP (across tolerances): 62.95
+Best model saved with mAP: 67.9110
+--- Epoch 19/50 ---
+Training Loss: 0.2875
+Learning Rate after epoch 19: 0.0006198081604387936
+Synchronizing results across GPUs...
+=== Results on validation (w/o NMS) ===
+Error (frame-level): 1.37
+
+Exact frame            F1    TP    FP    FN
+------------------  -----  ----  ----  ----
+any                 48.69   400   300   543
+close_table_bounce  44.50    85    68   144
+close_table_serve   46.28    28    33    32
+close_table_shot    44.00    66    59   109
+far_table_bounce    57.63   119    51   124
+far_table_serve     44.44    24    21    39
+far_table_shot      45.77    73    73   100
+
+AP Table:
+AP @ tol                0      1      2      4
+------------------  -----  -----  -----  -----
+close_table_bounce  47.29  66.32  68.15  68.46
+close_table_serve   41.61  63.50  69.79  71.51
+close_table_shot    42.56  65.20  70.19  70.99
+far_table_bounce    60.55  74.52  75.11  75.70
+far_table_serve     40.23  57.20  59.37  63.62
+far_table_shot      45.13  58.28  59.61  60.48
+mAP                 46.23  64.17  67.04  68.46
+Avg mAP (across tolerances): 61.47
+--- Epoch 20/50 ---
+Training Loss: 0.2935
+Learning Rate after epoch 20: 0.0005873871762283117
+Synchronizing results across GPUs...
+=== Results on validation (w/o NMS) ===
+Error (frame-level): 1.66
+
+Exact frame            F1    TP    FP    FN
+------------------  -----  ----  ----  ----
+any                 53.21   580   657   363
+close_table_bounce  51.70   137   164    92
+close_table_serve   50.00    37    51    23
+close_table_shot    48.36   103   148    72
+far_table_bounce    60.42   171   152    72
+far_table_serve     44.62    29    38    34
+far_table_shot      50.53    96   111    77
+
+AP Table:
+AP @ tol                0      1      2      4
+------------------  -----  -----  -----  -----
+close_table_bounce  55.05  74.33  76.08  76.20
+close_table_serve   50.28  73.31  73.74  73.83
+close_table_shot    41.66  65.57  72.37  73.85
+far_table_bounce    62.51  79.07  80.67  81.27
+far_table_serve     46.46  64.17  66.52  68.81
+far_table_shot      52.09  66.38  68.64  69.88
+mAP                 51.34  70.47  73.00  73.97
+Avg mAP (across tolerances): 67.20
+Best model saved with mAP: 72.4829
+--- Epoch 21/50 ---
+Training Loss: 0.2796
+Learning Rate after epoch 21: 0.0005545984382299944
+Synchronizing results across GPUs...
+=== Results on validation (w/o NMS) ===
+Error (frame-level): 1.55
+
+Exact frame            F1    TP    FP    FN
+------------------  -----  ----  ----  ----
+any                 51.27   503   516   440
+close_table_bounce  54.79   120    89   109
+close_table_serve   38.18    21    29    39
+close_table_shot    46.09   106   179    69
+far_table_bounce    65.01   157    83    86
+far_table_serve     35.62    26    57    37
+far_table_shot      42.46    69    83   104
+
+AP Table:
+AP @ tol                0      1      2      4
+------------------  -----  -----  -----  -----
+close_table_bounce  57.03  73.96  74.66  74.94
+close_table_serve   34.60  49.16  51.94  52.07
+close_table_shot    40.86  63.93  69.72  72.40
+far_table_bounce    65.90  76.55  77.21  77.93
+far_table_serve     35.06  55.10  63.10  66.02
+far_table_shot      40.29  61.97  65.81  66.61
+mAP                 45.62  63.44  67.07  68.33
+Avg mAP (across tolerances): 61.12
+--- Epoch 22/50 ---
+Training Loss: 0.2864
+Learning Rate after epoch 22: 0.0005215883889073281
+Synchronizing results across GPUs...
+=== Results on validation (w/o NMS) ===
+Error (frame-level): 1.73
+
+Exact frame            F1    TP    FP    FN
+------------------  -----  ----  ----  ----
+any                 50.81   549   669   394
+close_table_bounce  49.32   126   156   103
+close_table_serve   46.55    27    29    33
+close_table_shot    41.58    79   126    96
+far_table_bounce    61.28   167   135    76
+far_table_serve     45.80    30    38    33
+far_table_shot      45.19   108   197    65
+
+AP Table:
+AP @ tol                0      1      2      4
+------------------  -----  -----  -----  -----
+close_table_bounce  49.88  69.16  70.41  70.69
+close_table_serve   38.04  54.47  59.97  60.84
+close_table_shot    34.34  62.26  66.48  68.15
+far_table_bounce    62.79  78.23  80.82  81.51
+far_table_serve     38.33  57.52  62.25  65.40
+far_table_shot      48.92  68.05  71.48  72.51
+mAP                 45.38  64.95  68.57  69.85
+Avg mAP (across tolerances): 62.19
+--- Epoch 23/50 ---
+Training Loss: 0.2711
+Learning Rate after epoch 23: 0.0004885044591538977
+Synchronizing results across GPUs...
+=== Results on validation (w/o NMS) ===
+Error (frame-level): 1.56
+
+Exact frame            F1    TP    FP    FN
+------------------  -----  ----  ----  ----
+any                 54.94   584   599   359
+close_table_bounce  52.55   134   147    95
+close_table_serve   54.81    37    38    23
+close_table_shot    49.38    99   127    76
+far_table_bounce    62.62   165   119    78
+far_table_serve     49.25    33    38    30
+far_table_shot      50.12   105   141    68
+
+AP Table:
+AP @ tol                0      1      2      4
+------------------  -----  -----  -----  -----
+close_table_bounce  53.00  72.13  74.06  74.57
+close_table_serve   51.83  67.26  70.79  71.38
+close_table_shot    45.32  66.57  74.24  75.09
+far_table_bounce    64.72  80.95  81.71  81.84
+far_table_serve     46.81  65.49  68.93  71.54
+far_table_shot      50.86  67.84  70.93  71.64
+mAP                 52.09  70.04  73.45  74.34
+Avg mAP (across tolerances): 67.48
+Best model saved with mAP: 72.6094
+--- Epoch 24/50 ---
+Training Loss: 0.2933
+Learning Rate after epoch 24: 0.0004554944098312313
+Synchronizing results across GPUs...
+=== Results on validation (w/o NMS) ===
+Error (frame-level): 1.56
+
+Exact frame            F1    TP    FP    FN
+------------------  -----  ----  ----  ----
+any                 55.12   589   605   354
+close_table_bounce  52.17   126   128   103
+close_table_serve   57.81    37    31    23
+close_table_shot    53.72   119   149    56
+far_table_bounce    63.51   154    88    89
+far_table_serve     46.81    33    45    30
+far_table_shot      49.89   114   170    59
+
+AP Table:
+AP @ tol                0      1      2      4
+------------------  -----  -----  -----  -----
+close_table_bounce  50.58  68.24  70.28  70.71
+close_table_serve   46.66  62.08  66.92  69.62
+close_table_shot    52.54  69.71  74.43  74.99
+far_table_bounce    61.41  80.06  80.88  81.14
+far_table_serve     40.32  67.96  70.14  72.33
+far_table_shot      51.92  66.70  70.68  71.54
+mAP                 50.57  69.12  72.22  73.39
+Avg mAP (across tolerances): 66.33
+--- Epoch 25/50 ---
+Training Loss: 0.2831
+Learning Rate after epoch 25: 0.0004227056718329134
+Synchronizing results across GPUs...
+=== Results on validation (w/o NMS) ===
+Error (frame-level): 1.42
+
+Exact frame            F1    TP    FP    FN
+------------------  -----  ----  ----  ----
+any                 54.93   535   470   408
+close_table_bounce  53.59   123   107   106
+close_table_serve   51.33    29    24    31
+close_table_shot    49.60    94   110    81
+far_table_bounce    64.71   165   102    78
+far_table_serve     38.71    24    37    39
+far_table_shot      52.89    96    94    77
+
+AP Table:
+AP @ tol                0      1      2      4
+------------------  -----  -----  -----  -----
+close_table_bounce  54.22  73.51  75.48  75.70
+close_table_serve   44.93  66.03  69.50  71.65
+close_table_shot    43.83  68.01  73.91  75.19
+far_table_bounce    61.80  80.15  82.05  82.18
+far_table_serve     44.23  66.84  72.70  76.23
+far_table_shot      53.72  73.36  75.97  76.72
+mAP                 50.45  71.32  74.94  76.28
+Avg mAP (across tolerances): 68.25
+Best model saved with mAP: 74.1764
+--- Epoch 26/50 ---
+Training Loss: 0.2701
+Learning Rate after epoch 26: 0.000390284687622433
+Synchronizing results across GPUs...
+=== Results on validation (w/o NMS) ===
+Error (frame-level): 1.43
+
+Exact frame            F1    TP    FP    FN
+------------------  -----  ----  ----  ----
+any                 55.82   556   493   387
+close_table_bounce  55.03   134   124    95
+close_table_serve   51.28    30    27    30
+close_table_shot    48.60    87    96    88
+far_table_bounce    62.00   164   122    79
+far_table_serve     49.23    32    35    31
+far_table_shot      53.37    99    99    74
+
+AP Table:
+AP @ tol                0      1      2      4
+------------------  -----  -----  -----  -----
+close_table_bounce  55.92  74.27  75.85  76.45
+close_table_serve   48.30  65.59  71.89  73.38
+close_table_shot    44.69  67.65  72.82  74.48
+far_table_bounce    60.42  80.38  82.28  82.72
+far_table_serve     47.16  68.44  74.06  76.55
+far_table_shot      54.47  72.97  76.05  77.06
+mAP                 51.83  71.55  75.49  76.77
+Avg mAP (across tolerances): 68.91
+Best model saved with mAP: 74.6055
+--- Epoch 27/50 ---
+Training Loss: 0.2759
+Learning Rate after epoch 27: 0.0003583762571855871
+Synchronizing results across GPUs...
+=== Results on validation (w/o NMS) ===
+Error (frame-level): 1.39
+
+Exact frame            F1    TP    FP    FN
+------------------  -----  ----  ----  ----
+any                 55.65   537   450   406
+close_table_bounce  57.49   142   123    87
+close_table_serve   55.36    31    21    29
+close_table_shot    51.74   104   123    71
+far_table_bounce    63.67   156    91    87
+far_table_serve     35.51    19    25    44
+far_table_shot      49.85    81    71    92
+
+AP Table:
+AP @ tol                0      1      2      4
+------------------  -----  -----  -----  -----
+close_table_bounce  57.59  73.89  75.78  76.03
+close_table_serve   45.44  62.61  69.04  69.33
+close_table_shot    48.88  68.97  74.40  75.93
+far_table_bounce    63.25  81.67  82.58  82.73
+far_table_serve     37.34  55.40  59.28  60.70
+far_table_shot      49.17  65.05  66.57  67.40
+mAP                 50.28  67.93  71.27  72.02
+Avg mAP (across tolerances): 65.38
+--- Epoch 28/50 ---
+Training Loss: 0.2775
+Learning Rate after epoch 28: 0.0003271228913185948
+Synchronizing results across GPUs...
+=== Results on validation (w/o NMS) ===
+Error (frame-level): 1.41
+
+Exact frame            F1    TP    FP    FN
+------------------  -----  ----  ----  ----
+any                 54.91   528   452   415
+close_table_bounce  54.59   119    88   110
+close_table_serve   40.37    22    27    38
+close_table_shot    45.95    88   120    87
+far_table_bounce    66.92   175   105    68
+far_table_serve     42.52    27    37    36
+far_table_shot      53.33    92    80    81
+
+AP Table:
+AP @ tol                0      1      2      4
+------------------  -----  -----  -----  -----
+close_table_bounce  56.47  75.48  77.01  77.62
+close_table_serve   35.32  56.88  60.92  63.12
+close_table_shot    38.09  66.52  73.48  76.46
+far_table_bounce    65.68  82.63  83.67  84.00
+far_table_serve     43.35  61.35  64.34  67.30
+far_table_shot      53.49  70.67  73.06  74.22
+mAP                 48.73  68.92  72.08  73.79
+Avg mAP (across tolerances): 65.88
+--- Epoch 29/50 ---
+Training Loss: 0.2717
+Learning Rate after epoch 29: 0.00029666417514028967
+Synchronizing results across GPUs...
+=== Results on validation (w/o NMS) ===
+Error (frame-level): 1.28
+
+Exact frame            F1    TP    FP    FN
+------------------  -----  ----  ----  ----
+any                 54.76   480   330   463
+close_table_bounce  54.50   112    70   117
+close_table_serve   52.43    27    16    33
+close_table_shot    45.03    77    90    98
+far_table_bounce    66.38   155    69    88
+far_table_serve     46.00    23    14    40
+far_table_shot      49.70    82    75    91
+
+AP Table:
+AP @ tol                0      1      2      4
+------------------  -----  -----  -----  -----
+close_table_bounce  56.49  73.61  75.44  75.60
+close_table_serve   43.78  70.81  74.43  78.22
+close_table_shot    39.37  69.36  75.98  77.70
+far_table_bounce    65.78  82.88  83.71  84.08
+far_table_serve     45.72  71.16  74.92  75.38
+far_table_shot      52.99  69.33  71.84  73.47
+mAP                 50.69  72.86  76.05  77.41
+Avg mAP (across tolerances): 69.25
+Best model saved with mAP: 75.4390
+--- Epoch 30/50 ---
+Training Loss: 0.2788
+Learning Rate after epoch 30: 0.00026713614467108925
+Synchronizing results across GPUs...
+=== Results on validation (w/o NMS) ===
+Error (frame-level): 1.50
+
+Exact frame            F1    TP    FP    FN
+------------------  -----  ----  ----  ----
+any                 56.10   586   560   357
+close_table_bounce  55.89   140   132    89
+close_table_serve   52.99    31    26    29
+close_table_shot    48.06    99   138    76
+far_table_bounce    63.69   171   123    72
+far_table_serve     46.02    26    24    37
+far_table_shot      52.32   107   129    66
+
+AP Table:
+AP @ tol                0      1      2      4
+------------------  -----  -----  -----  -----
+close_table_bounce  55.88  74.86  77.07  77.07
+close_table_serve   46.71  72.34  75.00  75.55
+close_table_shot    45.01  71.27  77.70  78.70
+far_table_bounce    64.17  83.63  84.93  85.21
+far_table_serve     40.88  68.43  72.34  74.10
+far_table_shot      54.90  73.36  77.22  78.73
+mAP                 51.26  73.98  77.38  78.23
+Avg mAP (across tolerances): 70.21
+Best model saved with mAP: 76.5285
+--- Epoch 31/50 ---
+Training Loss: 0.2809
+Learning Rate after epoch 31: 0.00023867067926310848
+Synchronizing results across GPUs...
+=== Results on validation (w/o NMS) ===
+Error (frame-level): 1.32
+
+Exact frame            F1    TP    FP    FN
+------------------  -----  ----  ----  ----
+any                 53.42   465   333   478
+close_table_bounce  53.08   112    81   117
+close_table_serve   45.61    26    28    34
+close_table_shot    45.56    77    86    98
+far_table_bounce    65.18   146    59    97
+far_table_serve     43.56    22    16    41
+far_table_shot      47.80    76    69    97
+
+AP Table:
+AP @ tol                0      1      2      4
+------------------  -----  -----  -----  -----
+close_table_bounce  54.88  75.00  77.38  77.58
+close_table_serve   43.08  62.94  69.00  70.17
+close_table_shot    43.16  69.32  76.28  77.75
+far_table_bounce    65.82  81.89  82.37  82.49
+far_table_serve     41.06  57.84  61.80  63.93
+far_table_shot      47.47  67.71  71.64  73.06
+mAP                 49.24  69.12  73.08  74.16
+Avg mAP (across tolerances): 66.40
+--- Epoch 32/50 ---
+Training Loss: 0.2728
+Learning Rate after epoch 32: 0.0002113949125949544
+Synchronizing results across GPUs...
+=== Results on validation (w/o NMS) ===
+Error (frame-level): 1.42
+
+Exact frame            F1    TP    FP    FN
+------------------  -----  ----  ----  ----
+any                 54.72   530   464   413
+close_table_bounce  51.25   113    99   116
+close_table_serve   48.74    29    30    31
+close_table_shot    48.28    91   111    84
+far_table_bounce    68.01   169    85    74
+far_table_serve     43.75    28    37    35
+far_table_shot      50.67    95   107    78
+
+AP Table:
+AP @ tol                0      1      2      4
+------------------  -----  -----  -----  -----
+close_table_bounce  52.54  72.47  75.23  75.50
+close_table_serve   42.30  70.94  73.18  74.51
+close_table_shot    44.65  68.42  73.86  75.54
+far_table_bounce    66.18  83.57  84.80  84.85
+far_table_serve     37.86  64.48  68.43  69.76
+far_table_shot      50.28  67.67  71.06  72.81
+mAP                 48.97  71.26  74.43  75.49
+Avg mAP (across tolerances): 67.54
+--- Epoch 33/50 ---
+Training Loss: 0.2750
+Learning Rate after epoch 33: 0.00018543066486186076
+Synchronizing results across GPUs...
+=== Results on validation (w/o NMS) ===
+Error (frame-level): 1.36
+
+Exact frame            F1    TP    FP    FN
+------------------  -----  ----  ----  ----
+any                 54.84   507   399   436
+close_table_bounce  56.51   128    96   101
+close_table_serve   43.64    24    26    36
+close_table_shot    46.29    81    94    94
+far_table_bounce    64.38   150    73    93
+far_table_serve     42.99    23    21    40
+far_table_shot      52.34    95    95    78
+
+AP Table:
+AP @ tol                0      1      2      4
+------------------  -----  -----  -----  -----
+close_table_bounce  57.72  76.79  79.56  79.78
+close_table_serve   41.44  66.65  68.89  69.40
+close_table_shot    42.00  69.74  75.64  77.94
+far_table_bounce    64.82  83.56  84.34  84.47
+far_table_serve     42.61  65.35  68.82  69.52
+far_table_shot      50.41  70.60  74.31  75.22
+mAP                 49.83  72.12  75.26  76.06
+Avg mAP (across tolerances): 68.32
+--- Epoch 34/50 ---
+Training Loss: 0.2679
+Learning Rate after epoch 34: 0.0001608938986971212
+Synchronizing results across GPUs...
+=== Results on validation (w/o NMS) ===
+Error (frame-level): 1.43
+
+Exact frame            F1    TP    FP    FN
+------------------  -----  ----  ----  ----
+any                 52.33   483   420   460
+close_table_bounce  52.56   118   102   111
+close_table_serve   51.33    29    24    31
+close_table_shot    40.57    71   104   104
+far_table_bounce    63.09   147    76    96
+far_table_serve     44.07    26    29    37
+far_table_shot      49.71    87    90    86
+
+AP Table:
+AP @ tol                0      1      2      4
+------------------  -----  -----  -----  -----
+close_table_bounce  54.95  73.57  76.59  76.65
+close_table_serve   46.06  67.75  72.22  73.07
+close_table_shot    39.85  69.57  78.00  79.93
+far_table_bounce    62.72  83.52  84.39  84.57
+far_table_serve     41.35  63.80  69.64  71.62
+far_table_shot      52.51  71.97  75.43  76.75
+mAP                 49.57  71.70  76.04  77.10
+Avg mAP (across tolerances): 68.60
+--- Epoch 35/50 ---
+Training Loss: 0.2627
+Learning Rate after epoch 35: 0.00013789420125481764
+Synchronizing results across GPUs...
+=== Results on validation (w/o NMS) ===
+Error (frame-level): 1.36
+
+Exact frame            F1    TP    FP    FN
+------------------  -----  ----  ----  ----
+any                 52.36   461   357   482
+close_table_bounce  54.68   111    66   118
+close_table_serve   43.48    25    30    35
+close_table_shot    40.46    70   101   105
+far_table_bounce    65.18   146    59    97
+far_table_serve     37.74    20    23    43
+far_table_shot      48.82    83    84    90
+
+AP Table:
+AP @ tol                0      1      2      4
+------------------  -----  -----  -----  -----
+close_table_bounce  56.67  74.05  76.56  76.57
+close_table_serve   41.54  63.95  71.51  73.08
+close_table_shot    40.42  68.02  74.80  77.66
+far_table_bounce    64.73  83.47  84.25  84.48
+far_table_serve     38.73  63.69  68.03  69.87
+far_table_shot      48.78  70.28  73.52  74.41
+mAP                 48.48  70.58  74.78  76.01
+Avg mAP (across tolerances): 67.46
+--- Epoch 36/50 ---
+Training Loss: 0.2778
+Learning Rate after epoch 36: 0.00011653429476698978
+Synchronizing results across GPUs...
+=== Results on validation (w/o NMS) ===
+Error (frame-level): 1.30
+
+Exact frame            F1    TP    FP    FN
+------------------  -----  ----  ----  ----
+any                 53.83   467   325   476
+close_table_bounce  52.96   112    82   117
+close_table_serve   51.49    26    15    34
+close_table_shot    45.27    79    95    96
+far_table_bounce    66.52   150    58    93
+far_table_serve     41.24    20    14    43
+far_table_shot      48.41    76    65    97
+
+AP Table:
+AP @ tol                0      1      2      4
+------------------  -----  -----  -----  -----
+close_table_bounce  53.43  73.66  76.46  76.58
+close_table_serve   49.60  70.74  73.85  74.06
+close_table_shot    40.69  69.74  76.20  78.45
+far_table_bounce    65.50  83.27  83.83  84.02
+far_table_serve     42.27  63.53  67.19  68.63
+far_table_shot      46.94  74.01  76.85  78.11
+mAP                 49.74  72.49  75.73  76.64
+Avg mAP (across tolerances): 68.65
+--- Epoch 37/50 ---
+Training Loss: 0.2657
+Learning Rate after epoch 37: 9.690957776120681e-05
+Synchronizing results across GPUs...
+=== Results on validation (w/o NMS) ===
+Error (frame-level): 1.35
+
+Exact frame            F1    TP    FP    FN
+------------------  -----  ----  ----  ----
+any                 54.19   492   381   451
+close_table_bounce  54.12   115    81   114
+close_table_serve   50.00    30    30    30
+close_table_shot    44.57    80   104    95
+far_table_bounce    65.94   152    66    91
+far_table_serve     41.82    23    24    40
+far_table_shot      51.03    87    81    86
+
+AP Table:
+AP @ tol                0      1      2      4
+------------------  -----  -----  -----  -----
+close_table_bounce  56.57  75.46  77.76  77.78
+close_table_serve   42.01  66.31  70.25  70.25
+close_table_shot    41.73  70.35  76.54  78.90
+far_table_bounce    66.06  83.65  84.33  84.44
+far_table_serve     42.45  66.14  70.89  72.15
+far_table_shot      48.73  73.72  76.49  78.00
+mAP                 49.59  72.61  76.04  76.92
+Avg mAP (across tolerances): 68.79
+--- Epoch 38/50 ---
+Training Loss: 0.2577
+Learning Rate after epoch 38: 7.910769898758985e-05
+Synchronizing results across GPUs...
+=== Results on validation (w/o NMS) ===
+Error (frame-level): 1.29
+
+Exact frame            F1    TP    FP    FN
+------------------  -----  ----  ----  ----
+any                 54.73   483   339   460
+close_table_bounce  54.81   111    65   118
+close_table_serve   47.06    28    31    32
+close_table_shot    42.33    69    82   106
+far_table_bounce    67.94   160    68    83
+far_table_serve     42.59    23    22    40
+far_table_shot      52.38    88    75    85
+
+AP Table:
+AP @ tol                0      1      2      4
+------------------  -----  -----  -----  -----
+close_table_bounce  55.84  75.01  77.62  77.84
+close_table_serve   41.94  65.07  71.09  72.02
+close_table_shot    42.36  70.64  76.85  79.15
+far_table_bounce    67.41  83.83  84.40  84.52
+far_table_serve     39.54  64.91  70.06  71.41
+far_table_shot      52.24  75.42  78.60  79.83
+mAP                 49.89  72.48  76.44  77.46
+Avg mAP (across tolerances): 69.07
+--- Epoch 39/50 ---
+Training Loss: 0.2604
+Learning Rate after epoch 39: 6.320816595821423e-05
+Synchronizing results across GPUs...
+=== Results on validation (w/o NMS) ===
+Error (frame-level): 1.34
+
+Exact frame            F1    TP    FP    FN
+------------------  -----  ----  ----  ----
+any                 53.87   484   370   459
+close_table_bounce  54.59   116    80   113
+close_table_serve   49.15    29    29    31
+close_table_shot    42.53    74    99   101
+far_table_bounce    66.81   154    64    89
+far_table_serve     41.82    23    24    40
+far_table_shot      49.55    83    79    90
+
+AP Table:
+AP @ tol                0      1      2      4
+------------------  -----  -----  -----  -----
+close_table_bounce  54.95  74.33  77.08  77.39
+close_table_serve   43.99  65.70  70.79  71.41
+close_table_shot    39.96  69.29  76.53  79.32
+far_table_bounce    64.81  83.79  84.38  84.59
+far_table_serve     40.51  63.19  66.67  67.91
+far_table_shot      50.04  75.10  78.92  80.29
+mAP                 49.05  71.90  75.73  76.82
+Avg mAP (across tolerances): 68.37
+--- Epoch 40/50 ---
+Training Loss: 0.2780
+Learning Rate after epoch 40: 4.928198984725883e-05
+Synchronizing results across GPUs...
+=== Results on validation (w/o NMS) ===
+Error (frame-level): 1.31
+
+Exact frame            F1    TP    FP    FN
+------------------  -----  ----  ----  ----
+any                 54.29   481   348   462
+close_table_bounce  55.77   116    71   113
+close_table_serve   45.61    26    28    34
+close_table_shot    42.26    71    90   104
+far_table_bounce    67.23   158    69    85
+far_table_serve     38.10    20    22    43
+far_table_shot      51.36    85    73    88
+
+AP Table:
+AP @ tol                0      1      2      4
+------------------  -----  -----  -----  -----
+close_table_bounce  57.11  75.64  77.99  78.27
+close_table_serve   42.18  66.35  71.26  72.09
+close_table_shot    40.72  70.90  77.52  79.65
+far_table_bounce    65.63  83.18  83.74  83.93
+far_table_serve     38.21  60.78  64.32  65.89
+far_table_shot      49.57  74.46  77.75  79.00
+mAP                 48.90  71.88  75.43  76.47
+Avg mAP (across tolerances): 68.17
+--- Epoch 41/50 ---
+Training Loss: 0.2676
+Learning Rate after epoch 41: 3.739136833786606e-05
+Synchronizing results across GPUs...
+=== Results on validation (w/o NMS) ===
+Error (frame-level): 1.33
+
+Exact frame            F1    TP    FP    FN
+------------------  -----  ----  ----  ----
+any                 54.76   495   370   448
+close_table_bounce  55.48   119    81   110
+close_table_serve   42.86    24    28    36
+close_table_shot    44.25    77    96    98
+far_table_bounce    67.53   157    65    86
+far_table_serve     42.86    24    25    39
+far_table_shot      52.05    89    80    84
+
+AP Table:
+AP @ tol                0      1      2      4
+------------------  -----  -----  -----  -----
+close_table_bounce  56.99  75.66  78.22  78.41
+close_table_serve   42.06  69.02  72.53  73.00
+close_table_shot    43.43  71.25  77.18  78.78
+far_table_bounce    65.26  83.92  84.56  84.67
+far_table_serve     39.66  65.01  67.20  67.94
+far_table_shot      50.26  74.60  77.42  79.77
+mAP                 49.61  73.25  76.19  77.10
+Avg mAP (across tolerances): 69.03
+--- Epoch 42/50 ---
+Training Loss: 0.2555
+Learning Rate after epoch 42: 2.7589407832189477e-05
+Synchronizing results across GPUs...
+=== Results on validation (w/o NMS) ===
+Error (frame-level): 1.34
+
+Exact frame            F1    TP    FP    FN
+------------------  -----  ----  ----  ----
+any                 53.87   484   370   459
+close_table_bounce  54.76   118    84   111
+close_table_serve   42.86    24    28    36
+close_table_shot    41.89    71    93   104
+far_table_bounce    67.95   159    66    84
+far_table_serve     40.37    22    24    41
+far_table_shot      50.30    85    80    88
+
+AP Table:
+AP @ tol                0      1      2      4
+------------------  -----  -----  -----  -----
+close_table_bounce  55.12  74.97  77.70  77.94
+close_table_serve   38.85  65.59  70.84  71.20
+close_table_shot    41.52  71.12  77.15  79.16
+far_table_bounce    65.36  83.64  84.19  84.32
+far_table_serve     40.26  65.28  67.22  68.20
+far_table_shot      50.24  75.10  78.43  79.92
+mAP                 48.56  72.62  75.92  76.79
+Avg mAP (across tolerances): 68.47
+--- Epoch 43/50 ---
+Training Loss: 0.2795
+Learning Rate after epoch 43: 1.991988626530892e-05
+Synchronizing results across GPUs...
+=== Results on validation (w/o NMS) ===
+Error (frame-level): 1.33
+
+Exact frame            F1    TP    FP    FN
+------------------  -----  ----  ----  ----
+any                 54.42   489   365   454
+close_table_bounce  54.72   116    79   113
+close_table_serve   40.00    22    28    38
+close_table_shot    43.10    75    98   100
+far_table_bounce    67.79   161    71    82
+far_table_serve     43.40    23    20    40
+far_table_shot      52.10    87    74    86
+
+AP Table:
+AP @ tol                0      1      2      4
+------------------  -----  -----  -----  -----
+close_table_bounce  55.65  74.66  77.50  77.64
+close_table_serve   39.55  63.80  71.08  72.07
+close_table_shot    41.28  71.18  77.60  79.96
+far_table_bounce    65.70  83.51  84.05  84.18
+far_table_serve     41.31  64.71  66.91  67.87
+far_table_shot      49.73  74.07  77.10  78.56
+mAP                 48.87  71.99  75.71  76.71
+Avg mAP (across tolerances): 68.32
+--- Epoch 44/50 ---
+Training Loss: 0.2491
+Learning Rate after epoch 44: 1.4417057582347129e-05
+Synchronizing results across GPUs...
+=== Results on validation (w/o NMS) ===
+Error (frame-level): 1.32
+
+Exact frame            F1    TP    FP    FN
+------------------  -----  ----  ----  ----
+any                 54.36   483   351   460
+close_table_bounce  54.25   115    80   114
+close_table_serve   46.96    27    28    33
+close_table_shot    42.86    72    89   103
+far_table_bounce    67.53   156    63    87
+far_table_serve     40.37    22    24    41
+far_table_shot      51.96    86    72    87
+
+AP Table:
+AP @ tol                0      1      2      4
+------------------  -----  -----  -----  -----
+close_table_bounce  56.18  74.76  77.44  77.63
+close_table_serve   41.18  66.79  72.75  73.83
+close_table_shot    42.08  71.90  78.30  80.21
+far_table_bounce    65.87  83.30  83.83  83.96
+far_table_serve     39.57  64.96  67.58  68.41
+far_table_shot      49.03  74.06  77.14  79.08
+mAP                 48.98  72.63  76.17  77.19
+Avg mAP (across tolerances): 68.74
+--- Epoch 45/50 ---
+Training Loss: 0.2558
+Learning Rate after epoch 45: 1.1105498752034408e-05
+Synchronizing results across GPUs...
+=== Results on validation (w/o NMS) ===
+Error (frame-level): 1.32
+
+Exact frame            F1    TP    FP    FN
+------------------  -----  ----  ----  ----
+any                 53.92   478   352   465
+close_table_bounce  53.43   109    70   120
+close_table_serve   43.24    24    27    36
+close_table_shot    42.48    72    92   103
+far_table_bounce    67.67   158    66    85
+far_table_serve     43.64    24    23    39
+far_table_shot      50.89    86    79    87
+
+AP Table:
+AP @ tol                0      1      2      4
+------------------  -----  -----  -----  -----
+close_table_bounce  55.45  74.06  76.67  76.83
+close_table_serve   40.35  64.90  71.99  73.30
+close_table_shot    40.58  71.21  78.17  80.58
+far_table_bounce    66.21  83.93  84.48  84.62
+far_table_serve     40.79  66.22  68.02  68.99
+far_table_shot      49.70  74.46  77.88  79.38
+mAP                 48.85  72.46  76.20  77.28
+Avg mAP (across tolerances): 68.70
+--- Epoch 46/50 ---
+Training Loss: 0.2624
+Learning Rate after epoch 46: 1e-05
+Synchronizing results across GPUs...
+=== Results on validation (w/o NMS) ===
+Error (frame-level): 1.33
+
+Exact frame            F1    TP    FP    FN
+------------------  -----  ----  ----  ----
+any                 53.84   477   352   466
+close_table_bounce  54.01   111    71   118
+close_table_serve   44.64    25    27    35
+close_table_shot    41.42    70    93   105
+far_table_bounce    67.38   157    66    86
+far_table_serve     40.74    22    23    41
+far_table_shot      51.63    87    77    86
+
+AP Table:
+AP @ tol                0      1      2      4
+------------------  -----  -----  -----  -----
+close_table_bounce  55.21  74.79  77.36  77.61
+close_table_serve   40.65  64.37  71.26  72.45
+close_table_shot    39.77  71.19  78.45  80.78
+far_table_bounce    65.85  84.04  84.70  84.81
+far_table_serve     41.40  66.61  68.58  68.97
+far_table_shot      49.39  75.22  78.88  80.61
+mAP                 48.71  72.70  76.54  77.54
+Avg mAP (across tolerances): 68.87
+--- Epoch 47/50 ---
+Training Loss: 0.2656
+Learning Rate after epoch 47: 1.1105395081578534e-05
+Synchronizing results across GPUs...
+=== Results on validation (w/o NMS) ===
+Error (frame-level): 1.32
+
+Exact frame            F1    TP    FP    FN
+------------------  -----  ----  ----  ----
+any                 53.77   474   346   469
+close_table_bounce  54.46   113    73   116
+close_table_serve   44.44    24    24    36
+close_table_shot    41.30    70    94   105
+far_table_bounce    67.25   155    63    88
+far_table_serve     42.72    22    18    41
+far_table_shot      50.45    85    79    88
+
+AP Table:
+AP @ tol                0      1      2      4
+------------------  -----  -----  -----  -----
+close_table_bounce  56.27  74.84  77.42  77.59
+close_table_serve   41.42  65.73  72.21  73.29
+close_table_shot    40.16  71.23  78.36  80.74
+far_table_bounce    65.94  83.73  84.30  84.43
+far_table_serve     41.81  65.66  67.63  68.39
+far_table_shot      48.95  74.51  78.12  79.72
+mAP                 49.09  72.62  76.34  77.36
+Avg mAP (across tolerances): 68.85
+--- Epoch 48/50 ---
+Training Loss: 0.2595
+Learning Rate after epoch 48: 1.4416643363541067e-05
+Synchronizing results across GPUs...
+=== Results on validation (w/o NMS) ===
+Error (frame-level): 1.33
+
+Exact frame            F1    TP    FP    FN
+------------------  -----  ----  ----  ----
+any                 54.07   482   358   461
+close_table_bounce  53.55   113    80   116
+close_table_serve   45.05    25    26    35
+close_table_shot    43.73    75    93   100
+far_table_bounce    67.38   157    66    86
+far_table_serve     42.99    23    21    40
+far_table_shot      50.30    84    77    89
+
+AP Table:
+AP @ tol                0      1      2      4
+------------------  -----  -----  -----  -----
+close_table_bounce  55.13  75.12  77.75  77.94
+close_table_serve   42.11  67.78  74.54  75.61
+close_table_shot    40.80  71.59  78.69  81.14
+far_table_bounce    65.80  83.98  84.60  84.71
+far_table_serve     41.99  66.70  68.67  69.19
+far_table_shot      49.57  75.08  78.82  80.56
+mAP                 49.23  73.38  77.18  78.19
+Avg mAP (across tolerances): 69.49
+--- Epoch 49/50 ---
+Training Loss: 0.2543
+Learning Rate after epoch 49: 1.9918956007242582e-05
+Synchronizing results across GPUs...
+=== Results on validation (w/o NMS) ===
+Error (frame-level): 1.30
+
+Exact frame            F1    TP    FP    FN
+------------------  -----  ----  ----  ----
+any                 54.28   476   335   467
+close_table_bounce  54.90   112    67   117
+close_table_serve   41.82    23    27    37
+close_table_shot    44.25    75    89   100
+far_table_bounce    66.81   155    66    88
+far_table_serve     41.51    22    21    41
+far_table_shot      51.38    84    70    89
+
+AP Table:
+AP @ tol                0      1      2      4
+------------------  -----  -----  -----  -----
+close_table_bounce  55.52  74.88  77.49  77.62
+close_table_serve   41.59  66.20  72.14  72.88
+close_table_shot    42.72  71.98  78.06  80.23
+far_table_bounce    65.97  83.65  84.19  84.29
+far_table_serve     40.43  65.63  67.86  68.86
+far_table_shot      50.24  75.20  78.37  79.70
+mAP                 49.41  72.92  76.35  77.26
+Avg mAP (across tolerances): 68.99

E2E800GSM_SL_TTAV5(1.0)_FP16_2GPU_50epochs_lr1e-3_bs10_seed42/best_model.pth

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E2E800GSM_SL_TTAV5(1.0)_FP16_2GPU_50epochs_lr1e-3_bs10_seed42/model_config.json

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+    "base_model": "regnety_008",
+    "temporal_shift_mode": "gsm",
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+    "num_classes": 7,
+    "cbam": false,
+    "gru_layers": 1
+}

E2E800GSM_SL_TTAV5(1.0)_FP16_2GPU_50epochs_lr1e-3_bs10_seed42/pred-test.json.json

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"frame": 3991, "score": 0.9892578125}, {"label": "close_table_bounce", "frame": 3997, "score": 0.5726318359375}, {"label": "far_table_serve", "frame": 4410, "score": 0.938720703125}, {"label": "far_table_bounce", "frame": 4412, "score": 0.7783203125}, {"label": "far_table_bounce", "frame": 4413, "score": 0.962158203125}, {"label": "close_table_bounce", "frame": 4424, "score": 0.9033203125}, {"label": "close_table_shot", "frame": 4428, "score": 0.5009765625}, {"label": "close_table_shot", "frame": 4430, "score": 0.699462890625}, {"label": "close_table_shot", "frame": 4431, "score": 0.612548828125}, {"label": "far_table_bounce", "frame": 4446, "score": 0.983154296875}, {"label": "far_table_shot", "frame": 4452, "score": 0.853759765625}, {"label": "far_table_shot", "frame": 4453, "score": 0.790283203125}, {"label": "far_table_shot", "frame": 4454, "score": 0.54541015625}, {"label": "close_table_bounce", "frame": 4470, "score": 0.865234375}, {"label": "close_table_bounce", "frame": 4471, 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0.970947265625}, {"label": "far_table_shot", "frame": 5547, "score": 0.757568359375}, {"label": "far_table_serve", "frame": 5977, "score": 0.59033203125}, {"label": "far_table_bounce", "frame": 5980, "score": 0.757080078125}, {"label": "far_table_bounce", "frame": 5981, "score": 0.7587890625}, {"label": "close_table_bounce", "frame": 5995, "score": 0.837158203125}, {"label": "close_table_bounce", "frame": 6007, "score": 0.56494140625}, {"label": "close_table_shot", "frame": 6013, "score": 0.682861328125}, {"label": "far_table_serve", "frame": 6438, "score": 0.4925537109375}, {"label": "far_table_bounce", "frame": 6439, "score": 0.928955078125}, {"label": "far_table_bounce", "frame": 6440, "score": 0.88818359375}, {"label": "close_table_bounce", "frame": 6452, "score": 0.84033203125}, {"label": "close_table_shot", "frame": 6455, "score": 0.70556640625}, {"label": "close_table_shot", "frame": 6456, "score": 0.929931640625}, {"label": "far_table_bounce", "frame": 6469, "score": 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E2E800GSM_SL_TTAV5(1.0)_FP16_2GPU_50epochs_lr1e-3_bs10_seed42/pred-test.json.recall.json.gz

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+version https://git-lfs.github.com/spec/v1
+oid sha256:dfc6116e761b43bfe3b58439fff81892ab3d45378b5f5cce6571e57c2b29d736
+size 110252

E2E800GSM_SL_TTAV5(1.0)_FP16_2GPU_50epochs_lr1e-3_bs10_seed42/run_script_job28765.sh

@@ -0,0 +1,145 @@
+#!/bin/bash
+#SBATCH --partition=dgx
+#SBATCH --mem=140G
+#SBATCH --time=0
+#SBATCH --gres=gpu:2
+#SBATCH --job-name=Aug_sl
+#SBATCH --cpus-per-task=40
+#SBATCH --exclude=hpc-dgx-b-2
+
+# MODEL_CONFIG="models/configs/e2e_configs/e2e_gsm.json"
+MODEL_CONFIG="models/configs/e2e_configs/e2e_reg800_gsm.json"
+# MODEL_CONFIG="models/configs/e2e_configs/e2e_reg800_mfs[1,2,3].json"
+# MODEL_CONFIG="models/configs/e2e_configs/e2e_res50_mfs[1,2,3].json"
+# MODEL_CONFIG="models/configs/e2e_configs/e2e_hagsm_[1,2,3]_at2.json"
+# MODEL_CONFIG="models/configs/astrm_configs/astrm_gsm.json"
+# MODEL_CONFIG="models/configs/astrm_configs/astrm_800_gsm.json"
+# MODEL_CONFIG="models/configs/vit_configs/vit_small_msgsm_[1,3,5].json"
+# MODEL_CONFIG="models/configs/vit_configs/vit_small.json"
+# MODEL_CONFIG="models/configs/vit_configs/vit_tiny.json"
+# MODEL_CONFIG="models/configs/vit_configs/vit_tiny_msgsm_[1,3,5].json"
+# MODEL_CONFIG="models/configs/tdeed_configs/tdeed_gsf.json"
+
+set -e
+
+python -c "import torch; print(torch.version.cuda)"
+nvidia-smi
+
+export NCCL_P2P_DISABLE=1
+export HOST_NODE_ADDR=$(scontrol show hostnames "$SLURM_JOB_NODELIST" | head -n1)
+export MASTER_ADDR=$(scontrol show hostnames "$SLURM_JOB_NODELIST" | head -n1)
+
+MODEL_CHOICE="E2E"
+BATCH_SIZE=10
+NUM_WORKERS=8
+NUM_GPUS=2
+
+# ── Dataset paths ──────────────────────────────────────────────────────────────
+HOME_DATA="/home/remote/s224705071/github/data"
+
+# DATASET="tennis"
+# SRC_FRAMES="$HOME_DATA/tennis/frames"
+# SRC_LABELS="$HOME_DATA/tennis"
+# DATASET_NAME="Tennis"
+
+# DATASET="fs_comp"
+# SRC_FRAMES="$HOME_DATA/fs_comp/frames"
+# SRC_LABELS="$HOME_DATA/fs_comp"
+# DATASET_NAME="FSComp"
+
+# DATASET="fs_perf"
+# SRC_FRAMES="$HOME_DATA/fs_comp/frames"
+# SRC_LABELS="$HOME_DATA/fs_perf"
+# DATASET_NAME="FSPerf"
+
+DATASET="tta_event_v5"
+SRC_FRAMES="$HOME_DATA/tta_event/frames"
+SRC_LABELS="$HOME_DATA/tta_event_v5"
+DATASET_NAME="TTAV5"
+
+
+# ── Stage-in to scratch ────────────────────────────────────────────────────────
+SCRATCH="/raid/$SLURM_JOB_ID/dataset"
+mkdir -p "$SCRATCH/frames" "$SCRATCH/labels"
+
+echo "======================================"
+echo "Staging dataset: $DATASET to $SCRATCH"
+echo "======================================"
+
+echo "Starting all transfers in parallel..."
+STAGE_START=$SECONDS
+
+# Frames — split subdirs across 32 parallel rsync processes
+ls "$SRC_FRAMES" | xargs -P 32 -I {} bash -c \
+    'mkdir -p "$2/{}" && rsync -ah "$1/{}/" "$2/{}/"' \
+    _ "$SRC_FRAMES" "$SCRATCH/frames" &
+PID_FRAMES=$!
+
+rsync -ah --include="*.json" --include="*.txt" --exclude="*" "$SRC_LABELS/" "$SCRATCH/labels/" &
+PID_LABELS=$!
+
+wait $PID_FRAMES $PID_LABELS
+
+STAGE_TIME=$((SECONDS - STAGE_START))
+echo "======================================"
+echo "Staging complete in $(printf '%02d:%02d' $((STAGE_TIME/60)) $((STAGE_TIME%60)))"
+echo "======================================"
+
+# ── Point training to scratch ──────────────────────────────────────────────────
+FRAMES_DIR="$SCRATCH/frames"
+LABELS_DIR="$SCRATCH/labels"
+
+# ── Training loop ──────────────────────────────────────────────────────────────
+for PERCENT_USE in 1.0
+do
+    for SEED in 42 2026 1
+    do
+        LOG_NAME="E2E800GSM_SL_${DATASET_NAME}(${PERCENT_USE})_FP16_${NUM_GPUS}GPU_50epochs_lr1e-3_bs${BATCH_SIZE}_seed${SEED}"
+        OUT_DIR="/home/remote/s224705071/github/SSL_PES/logs/$LOG_NAME"
+        mkdir -p "$OUT_DIR"
+        cp "$0" "$OUT_DIR/run_script_job${SLURM_JOB_ID}.sh"
+
+        export MASTER_PORT=$((10000 + RANDOM % 50000))
+
+        echo "======================================"
+        echo "Running percent: $PERCENT_USE | seed: $SEED"
+        echo "LOG_NAME: $LOG_NAME"
+        echo "======================================"
+
+        torchrun --nproc_per_node=$NUM_GPUS --nnodes=1 \
+            --node_rank=0 \
+            --master_addr=$MASTER_ADDR \
+            --master_port=$MASTER_PORT \
+            sl_train.py \
+            --percent_use $PERCENT_USE \
+            --seed $SEED \
+            --learning_rate 1e-3 \
+            --batch_size $BATCH_SIZE \
+            --num_workers $NUM_WORKERS \
+            --start_val_epoch 10 \
+            --clip_len 100 \
+            --dilate_len 0 \
+            --frames_dir $FRAMES_DIR \
+            --labels_dir $LABELS_DIR \
+            --model_choice $MODEL_CHOICE \
+            --num_epochs 50 \
+            --crop_dim 224 \
+            --usefp16 \
+            --model_config_file $MODEL_CONFIG \
+            --output_dir $OUT_DIR \
+            --logger_name $LOG_NAME
+
+        torchrun --nproc_per_node=$NUM_GPUS --nnodes=1 \
+            --node_rank=0 \
+            --master_addr=$MASTER_ADDR \
+            --master_port=$MASTER_PORT \
+            test.py \
+            --output_dir $OUT_DIR \
+            --logger_name $LOG_NAME \
+            --frames_dir $FRAMES_DIR \
+            --labels_dir $LABELS_DIR \
+            --model_choice $MODEL_CHOICE \
+            --num_workers $NUM_WORKERS \
+            --save
+    done
+done

E2E800GSM_SL_TTAV5(1.0)_FP16_2GPU_50epochs_lr1e-3_bs10_seed42/train_config.json

@@ -0,0 +1,47 @@
+{
+    "frames_dir": "/raid/28765/dataset/frames",
+    "labels_dir": "/raid/28765/dataset/labels",
+    "model_config_file": "models/configs/e2e_configs/e2e_reg800_gsm.json",
+    "model_choice": "E2E",
+    "device": "cuda",
+    "logger_name": "E2E800GSM_SL_TTAV5(1.0)_FP16_2GPU_50epochs_lr1e-3_bs10_seed42",
+    "resume_path": "",
+    "usefp16": true,
+    "linear_eval_epochs": 5,
+    "start_val_epoch": 10,
+    "val_interval": 5,
+    "supervise_warmup_epochs": 5,
+    "ema_decay": 0.9995,
+    "batch_size": 10,
+    "push_loss_weight": 0.0,
+    "tma_augment": false,
+    "proj_head_align": false,
+    "num_workers": 8,
+    "num_epochs": 50,
+    "warm_up_epochs": 3,
+    "learning_rate": 0.001,
+    "weight_decay": 0.0001,
+    "optimizer": "adamw",
+    "lr_scheduler": "cosine",
+    "tolerances": [
+        0,
+        1,
+        2,
+        4
+    ],
+    "clip_len": 100,
+    "overlapped_number": 0,
+    "crop_dim": 224,
+    "fg_weight": 5.0,
+    "percent_use": 1.0,
+    "shots_per_class": null,
+    "mixup": true,
+    "dilate_len": 0,
+    "fg_upsample": null,
+    "modality": "rgb",
+    "unsup_train": false,
+    "resume": "",
+    "output_dir": "/home/remote/s224705071/github/SSL_PES/logs/E2E800GSM_SL_TTAV5(1.0)_FP16_2GPU_50epochs_lr1e-3_bs10_seed42",
+    "gpu": "0",
+    "seed": 42
+}