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dgan_slurm-10761248.out
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trytonp/compiler/gcc/13.2.0 load complete.
trytonp/python3/3.11.7 load complete.
Loading trytonp/python3/3.11.7
Loading requirement: trytonp/compiler/gcc/13.2.0
Defaulting to user installation because normal site-packages is not writeable
Requirement already satisfied: certifi==2024.12.14 in /users/kdm/juliuszl/.local/lib/python3.11/site-packages (from -r requirements.txt (line 1)) (2024.12.14)
Requirement already satisfied: charset-normalizer==3.4.0 in /users/kdm/juliuszl/.local/lib/python3.11/site-packages (from -r requirements.txt (line 2)) (3.4.0)
Requirement already satisfied: colorama==0.4.6 in /users/kdm/juliuszl/.local/lib/python3.11/site-packages (from -r requirements.txt (line 3)) (0.4.6)
Requirement already satisfied: contourpy==1.3.1 in /users/kdm/juliuszl/.local/lib/python3.11/site-packages (from -r requirements.txt (line 4)) (1.3.1)
Requirement already satisfied: cycler==0.12.1 in /apl/trytonp/python/3.11.7/lib/python3.11/site-packages (from -r requirements.txt (line 5)) (0.12.1)
Requirement already satisfied: filelock==3.16.1 in /users/kdm/juliuszl/.local/lib/python3.11/site-packages (from -r requirements.txt (line 6)) (3.16.1)
Requirement already satisfied: fonttools==4.55.3 in /users/kdm/juliuszl/.local/lib/python3.11/site-packages (from -r requirements.txt (line 7)) (4.55.3)
Requirement already satisfied: fsspec==2024.12.0 in /users/kdm/juliuszl/.local/lib/python3.11/site-packages (from -r requirements.txt (line 8)) (2024.12.0)
Requirement already satisfied: idna==3.10 in /users/kdm/juliuszl/.local/lib/python3.11/site-packages (from -r requirements.txt (line 9)) (3.10)
Requirement already satisfied: imbalanced-learn==0.13.0 in /users/kdm/juliuszl/.local/lib/python3.11/site-packages (from -r requirements.txt (line 10)) (0.13.0)
Requirement already satisfied: imblearn==0.0 in /users/kdm/juliuszl/.local/lib/python3.11/site-packages (from -r requirements.txt (line 11)) (0.0)
Requirement already satisfied: Jinja2==3.1.5 in /users/kdm/juliuszl/.local/lib/python3.11/site-packages (from -r requirements.txt (line 12)) (3.1.5)
Requirement already satisfied: joblib==1.4.2 in /apl/trytonp/python/3.11.7/lib/python3.11/site-packages (from -r requirements.txt (line 13)) (1.4.2)
Requirement already satisfied: kiwisolver==1.4.7 in /users/kdm/juliuszl/.local/lib/python3.11/site-packages (from -r requirements.txt (line 14)) (1.4.7)
Requirement already satisfied: MarkupSafe==3.0.2 in /users/kdm/juliuszl/.local/lib/python3.11/site-packages (from -r requirements.txt (line 15)) (3.0.2)
Requirement already satisfied: matplotlib==3.10.0 in /users/kdm/juliuszl/.local/lib/python3.11/site-packages (from -r requirements.txt (line 16)) (3.10.0)
Requirement already satisfied: mpmath==1.3.0 in /users/kdm/juliuszl/.local/lib/python3.11/site-packages (from -r requirements.txt (line 17)) (1.3.0)
Requirement already satisfied: networkx==3.4.2 in /users/kdm/juliuszl/.local/lib/python3.11/site-packages (from -r requirements.txt (line 18)) (3.4.2)
Requirement already satisfied: numpy==2.2.0 in /users/kdm/juliuszl/.local/lib/python3.11/site-packages (from -r requirements.txt (line 19)) (2.2.0)
Requirement already satisfied: opencv-python==4.10.0.84 in /users/kdm/juliuszl/.local/lib/python3.11/site-packages (from -r requirements.txt (line 20)) (4.10.0.84)
Requirement already satisfied: packaging==24.2 in /users/kdm/juliuszl/.local/lib/python3.11/site-packages (from -r requirements.txt (line 21)) (24.2)
Requirement already satisfied: pandas==2.2.3 in /users/kdm/juliuszl/.local/lib/python3.11/site-packages (from -r requirements.txt (line 22)) (2.2.3)
Requirement already satisfied: pillow==11.0.0 in /users/kdm/juliuszl/.local/lib/python3.11/site-packages (from -r requirements.txt (line 23)) (11.0.0)
Requirement already satisfied: psutil==6.1.1 in /users/kdm/juliuszl/.local/lib/python3.11/site-packages (from -r requirements.txt (line 24)) (6.1.1)
Requirement already satisfied: py-cpuinfo==9.0.0 in /users/kdm/juliuszl/.local/lib/python3.11/site-packages (from -r requirements.txt (line 25)) (9.0.0)
Requirement already satisfied: pyparsing==3.2.0 in /users/kdm/juliuszl/.local/lib/python3.11/site-packages (from -r requirements.txt (line 26)) (3.2.0)
Requirement already satisfied: python-dateutil==2.9.0.post0 in /apl/trytonp/python/3.11.7/lib/python3.11/site-packages (from -r requirements.txt (line 27)) (2.9.0.post0)
Requirement already satisfied: pytz==2024.2 in /users/kdm/juliuszl/.local/lib/python3.11/site-packages (from -r requirements.txt (line 28)) (2024.2)
Requirement already satisfied: PyYAML==6.0.2 in /users/kdm/juliuszl/.local/lib/python3.11/site-packages (from -r requirements.txt (line 29)) (6.0.2)
Requirement already satisfied: requests==2.32.3 in /users/kdm/juliuszl/.local/lib/python3.11/site-packages (from -r requirements.txt (line 30)) (2.32.3)
Requirement already satisfied: scikit-learn==1.6.0 in /users/kdm/juliuszl/.local/lib/python3.11/site-packages (from -r requirements.txt (line 31)) (1.6.0)
Requirement already satisfied: scipy==1.14.1 in /users/kdm/juliuszl/.local/lib/python3.11/site-packages (from -r requirements.txt (line 32)) (1.14.1)
Requirement already satisfied: seaborn==0.13.2 in /users/kdm/juliuszl/.local/lib/python3.11/site-packages (from -r requirements.txt (line 33)) (0.13.2)
Requirement already satisfied: six==1.17.0 in /users/kdm/juliuszl/.local/lib/python3.11/site-packages (from -r requirements.txt (line 34)) (1.17.0)
Requirement already satisfied: sklearn-compat==0.1.3 in /users/kdm/juliuszl/.local/lib/python3.11/site-packages (from -r requirements.txt (line 35)) (0.1.3)
Requirement already satisfied: sympy==1.13.1 in /users/kdm/juliuszl/.local/lib/python3.11/site-packages (from -r requirements.txt (line 36)) (1.13.1)
Requirement already satisfied: threadpoolctl==3.5.0 in /apl/trytonp/python/3.11.7/lib/python3.11/site-packages (from -r requirements.txt (line 37)) (3.5.0)
Requirement already satisfied: torch==2.5.1 in /users/kdm/juliuszl/.local/lib/python3.11/site-packages (from -r requirements.txt (line 38)) (2.5.1)
Requirement already satisfied: torchvision==0.20.1 in /users/kdm/juliuszl/.local/lib/python3.11/site-packages (from -r requirements.txt (line 39)) (0.20.1)
Requirement already satisfied: tqdm==4.67.1 in /users/kdm/juliuszl/.local/lib/python3.11/site-packages (from -r requirements.txt (line 40)) (4.67.1)
Requirement already satisfied: typing_extensions==4.12.2 in /users/kdm/juliuszl/.local/lib/python3.11/site-packages (from -r requirements.txt (line 41)) (4.12.2)
Requirement already satisfied: tzdata==2024.2 in /users/kdm/juliuszl/.local/lib/python3.11/site-packages (from -r requirements.txt (line 42)) (2024.2)
Requirement already satisfied: ultralytics==8.3.52 in /users/kdm/juliuszl/.local/lib/python3.11/site-packages (from -r requirements.txt (line 43)) (8.3.52)
Requirement already satisfied: ultralytics-thop==2.0.13 in /users/kdm/juliuszl/.local/lib/python3.11/site-packages (from -r requirements.txt (line 44)) (2.0.13)
Requirement already satisfied: urllib3==2.2.3 in /users/kdm/juliuszl/.local/lib/python3.11/site-packages (from -r requirements.txt (line 45)) (2.2.3)
Requirement already satisfied: nvidia-cuda-nvrtc-cu12==12.4.127 in /users/kdm/juliuszl/.local/lib/python3.11/site-packages (from torch==2.5.1->-r requirements.txt (line 38)) (12.4.127)
Requirement already satisfied: nvidia-cuda-runtime-cu12==12.4.127 in /users/kdm/juliuszl/.local/lib/python3.11/site-packages (from torch==2.5.1->-r requirements.txt (line 38)) (12.4.127)
Requirement already satisfied: nvidia-cuda-cupti-cu12==12.4.127 in /users/kdm/juliuszl/.local/lib/python3.11/site-packages (from torch==2.5.1->-r requirements.txt (line 38)) (12.4.127)
Requirement already satisfied: nvidia-cudnn-cu12==9.1.0.70 in /users/kdm/juliuszl/.local/lib/python3.11/site-packages (from torch==2.5.1->-r requirements.txt (line 38)) (9.1.0.70)
Requirement already satisfied: nvidia-cublas-cu12==12.4.5.8 in /users/kdm/juliuszl/.local/lib/python3.11/site-packages (from torch==2.5.1->-r requirements.txt (line 38)) (12.4.5.8)
Requirement already satisfied: nvidia-cufft-cu12==11.2.1.3 in /users/kdm/juliuszl/.local/lib/python3.11/site-packages (from torch==2.5.1->-r requirements.txt (line 38)) (11.2.1.3)
Requirement already satisfied: nvidia-curand-cu12==10.3.5.147 in /users/kdm/juliuszl/.local/lib/python3.11/site-packages (from torch==2.5.1->-r requirements.txt (line 38)) (10.3.5.147)
Requirement already satisfied: nvidia-cusolver-cu12==11.6.1.9 in /users/kdm/juliuszl/.local/lib/python3.11/site-packages (from torch==2.5.1->-r requirements.txt (line 38)) (11.6.1.9)
Requirement already satisfied: nvidia-cusparse-cu12==12.3.1.170 in /users/kdm/juliuszl/.local/lib/python3.11/site-packages (from torch==2.5.1->-r requirements.txt (line 38)) (12.3.1.170)
Requirement already satisfied: nvidia-nccl-cu12==2.21.5 in /users/kdm/juliuszl/.local/lib/python3.11/site-packages (from torch==2.5.1->-r requirements.txt (line 38)) (2.21.5)
Requirement already satisfied: nvidia-nvtx-cu12==12.4.127 in /users/kdm/juliuszl/.local/lib/python3.11/site-packages (from torch==2.5.1->-r requirements.txt (line 38)) (12.4.127)
Requirement already satisfied: nvidia-nvjitlink-cu12==12.4.127 in /users/kdm/juliuszl/.local/lib/python3.11/site-packages (from torch==2.5.1->-r requirements.txt (line 38)) (12.4.127)
Requirement already satisfied: triton==3.1.0 in /users/kdm/juliuszl/.local/lib/python3.11/site-packages (from torch==2.5.1->-r requirements.txt (line 38)) (3.1.0)
[notice] A new release of pip is available: 23.2.1 -> 24.3.1
[notice] To update, run: pip3 install --upgrade pip
Size of image: (128, 128, 3)
Batch size: 64
Number of epochs: 100
Latent dimension: 100
Learning rate: 0.0002
Beta: 0.5
==========DGAN==========
{'N': 500, 'B': 500, 'P': 500, 'W': 500, 'X': 500, 'C': 500, 'M': 500, 'E': 500, 'G': 500, 'L': 500, 'D': 500, 'I': 500, 'Z': 500, 'O': 500, 'Y': 500, 'R': 500, 'T': 500, 'V': 500, 'U': 500, 'S': 500, 'K': 500, 'J': 500, 'Q': 500, 'H': 500, 'F': 500}
N: 500, <balancers.dgan.DGAN object at 0x1506157d69d0>
./maritime-flags-dataset/imbalanced_flags/images/N
Epoch [1/100] Batch 0/8 Loss D: 1.5093, Loss G: 6.1895
Epoch [2/100] Batch 0/8 Loss D: 0.2823, Loss G: 14.7428
Epoch [3/100] Batch 0/8 Loss D: 0.2901, Loss G: 17.3113
Epoch [4/100] Batch 0/8 Loss D: 0.0622, Loss G: 15.1793
Epoch [5/100] Batch 0/8 Loss D: 0.0658, Loss G: 15.9886
Epoch [6/100] Batch 0/8 Loss D: 0.0726, Loss G: 16.1348
Epoch [7/100] Batch 0/8 Loss D: 0.0854, Loss G: 16.0278
Epoch [8/100] Batch 0/8 Loss D: 0.1831, Loss G: 14.0913
Epoch [9/100] Batch 0/8 Loss D: 0.0819, Loss G: 5.2307
Epoch [10/100] Batch 0/8 Loss D: 0.0524, Loss G: 10.6942
Epoch [11/100] Batch 0/8 Loss D: 0.0763, Loss G: 3.8495
Epoch [12/100] Batch 0/8 Loss D: 0.4605, Loss G: 14.3385
Epoch [13/100] Batch 0/8 Loss D: 0.6652, Loss G: 14.3320
Epoch [14/100] Batch 0/8 Loss D: 0.4593, Loss G: 9.2958
Epoch [15/100] Batch 0/8 Loss D: 0.0501, Loss G: 8.8590
Epoch [16/100] Batch 0/8 Loss D: 0.0423, Loss G: 7.6568
Epoch [17/100] Batch 0/8 Loss D: 0.1253, Loss G: 9.2241
Epoch [18/100] Batch 0/8 Loss D: 0.1131, Loss G: 5.7137
Epoch [19/100] Batch 0/8 Loss D: 0.0969, Loss G: 6.9744
Epoch [20/100] Batch 0/8 Loss D: 0.0855, Loss G: 6.1981
Epoch [21/100] Batch 0/8 Loss D: 0.0859, Loss G: 5.6811
Epoch [22/100] Batch 0/8 Loss D: 0.0330, Loss G: 6.7203
Epoch [23/100] Batch 0/8 Loss D: 0.0721, Loss G: 5.7698
Epoch [24/100] Batch 0/8 Loss D: 0.0850, Loss G: 6.4002
Epoch [25/100] Batch 0/8 Loss D: 0.0486, Loss G: 6.2058
Epoch [26/100] Batch 0/8 Loss D: 0.0423, Loss G: 5.9276
Epoch [27/100] Batch 0/8 Loss D: 0.0447, Loss G: 5.6147
Epoch [28/100] Batch 0/8 Loss D: 0.0776, Loss G: 6.5249
Epoch [29/100] Batch 0/8 Loss D: 0.1613, Loss G: 4.5065
Epoch [30/100] Batch 0/8 Loss D: 0.1013, Loss G: 4.2636
Epoch [31/100] Batch 0/8 Loss D: 0.1680, Loss G: 4.0423
Epoch [32/100] Batch 0/8 Loss D: 0.6840, Loss G: 8.7396
Epoch [33/100] Batch 0/8 Loss D: 0.5652, Loss G: 5.5293
Epoch [34/100] Batch 0/8 Loss D: 0.1968, Loss G: 3.7447
Epoch [35/100] Batch 0/8 Loss D: 0.7411, Loss G: 2.6915
Epoch [36/100] Batch 0/8 Loss D: 0.4125, Loss G: 4.2742
Epoch [37/100] Batch 0/8 Loss D: 0.7445, Loss G: 4.7423
Epoch [38/100] Batch 0/8 Loss D: 0.2952, Loss G: 4.5472
Epoch [39/100] Batch 0/8 Loss D: 0.7384, Loss G: 2.4139
Epoch [40/100] Batch 0/8 Loss D: 0.5991, Loss G: 2.2986
Epoch [41/100] Batch 0/8 Loss D: 0.6641, Loss G: 1.3989
Epoch [42/100] Batch 0/8 Loss D: 0.3803, Loss G: 2.2727
Epoch [43/100] Batch 0/8 Loss D: 0.3104, Loss G: 3.7160
Epoch [44/100] Batch 0/8 Loss D: 0.5785, Loss G: 2.5433
Epoch [45/100] Batch 0/8 Loss D: 0.6085, Loss G: 4.6292
Epoch [46/100] Batch 0/8 Loss D: 0.5507, Loss G: 3.3948
Epoch [47/100] Batch 0/8 Loss D: 0.5019, Loss G: 3.7520
Epoch [48/100] Batch 0/8 Loss D: 0.5415, Loss G: 1.9596
Epoch [49/100] Batch 0/8 Loss D: 0.5101, Loss G: 6.3453
Epoch [50/100] Batch 0/8 Loss D: 0.4635, Loss G: 2.8727
Epoch [51/100] Batch 0/8 Loss D: 0.2631, Loss G: 5.0141
Epoch [52/100] Batch 0/8 Loss D: 0.4638, Loss G: 3.0941
Epoch [53/100] Batch 0/8 Loss D: 1.1638, Loss G: 1.2778
Epoch [54/100] Batch 0/8 Loss D: 0.3587, Loss G: 3.7972
Epoch [55/100] Batch 0/8 Loss D: 0.9139, Loss G: 5.3541
Epoch [56/100] Batch 0/8 Loss D: 0.2378, Loss G: 3.9853
Epoch [57/100] Batch 0/8 Loss D: 0.6899, Loss G: 8.5860
Epoch [58/100] Batch 0/8 Loss D: 3.5657, Loss G: 0.5959
Epoch [59/100] Batch 0/8 Loss D: 0.3174, Loss G: 3.0856
Epoch [60/100] Batch 0/8 Loss D: 0.7060, Loss G: 6.0682
Epoch [61/100] Batch 0/8 Loss D: 0.3283, Loss G: 2.0814
Epoch [62/100] Batch 0/8 Loss D: 0.3491, Loss G: 2.0227
Epoch [63/100] Batch 0/8 Loss D: 1.6664, Loss G: 9.8867
Epoch [64/100] Batch 0/8 Loss D: 1.2088, Loss G: 4.2726
Epoch [65/100] Batch 0/8 Loss D: 0.3272, Loss G: 3.1054
Epoch [66/100] Batch 0/8 Loss D: 0.6932, Loss G: 0.6881
Epoch [67/100] Batch 0/8 Loss D: 0.7877, Loss G: 3.9200
Epoch [68/100] Batch 0/8 Loss D: 0.2811, Loss G: 3.4456
Epoch [69/100] Batch 0/8 Loss D: 0.2085, Loss G: 3.1409
Epoch [70/100] Batch 0/8 Loss D: 0.6925, Loss G: 7.8475
Epoch [71/100] Batch 0/8 Loss D: 0.3460, Loss G: 3.0772
Epoch [72/100] Batch 0/8 Loss D: 0.3603, Loss G: 4.6829
Epoch [73/100] Batch 0/8 Loss D: 0.2990, Loss G: 3.2617
Epoch [74/100] Batch 0/8 Loss D: 0.1624, Loss G: 4.3926
Epoch [75/100] Batch 0/8 Loss D: 0.3761, Loss G: 5.1607
Epoch [76/100] Batch 0/8 Loss D: 0.2692, Loss G: 3.6064
Epoch [77/100] Batch 0/8 Loss D: 0.2075, Loss G: 3.5574
Epoch [78/100] Batch 0/8 Loss D: 0.1704, Loss G: 3.5942
Epoch [79/100] Batch 0/8 Loss D: 0.1817, Loss G: 5.3518
Epoch [80/100] Batch 0/8 Loss D: 0.3147, Loss G: 6.5469
Epoch [81/100] Batch 0/8 Loss D: 0.1757, Loss G: 5.7287
Epoch [82/100] Batch 0/8 Loss D: 2.6441, Loss G: 3.2221
Epoch [83/100] Batch 0/8 Loss D: 0.5160, Loss G: 3.2134
Epoch [84/100] Batch 0/8 Loss D: 0.4257, Loss G: 2.5002
Epoch [85/100] Batch 0/8 Loss D: 0.4191, Loss G: 4.8863
Epoch [86/100] Batch 0/8 Loss D: 0.1996, Loss G: 4.0703
Epoch [87/100] Batch 0/8 Loss D: 0.1716, Loss G: 4.5060
Epoch [88/100] Batch 0/8 Loss D: 0.1002, Loss G: 3.8726
Epoch [89/100] Batch 0/8 Loss D: 1.9613, Loss G: 0.3651
Epoch [90/100] Batch 0/8 Loss D: 0.5311, Loss G: 4.1853
Epoch [91/100] Batch 0/8 Loss D: 0.2819, Loss G: 4.4541
Epoch [92/100] Batch 0/8 Loss D: 0.2219, Loss G: 3.6545
Epoch [93/100] Batch 0/8 Loss D: 0.1967, Loss G: 4.4754
Epoch [94/100] Batch 0/8 Loss D: 0.1263, Loss G: 4.6168
Epoch [95/100] Batch 0/8 Loss D: 0.1685, Loss G: 4.9654
Epoch [96/100] Batch 0/8 Loss D: 0.1762, Loss G: 5.0701
Epoch [97/100] Batch 0/8 Loss D: 0.4351, Loss G: 4.1966
Epoch [98/100] Batch 0/8 Loss D: 0.2764, Loss G: 3.3976
Epoch [99/100] Batch 0/8 Loss D: 0.1313, Loss G: 4.3473
Epoch [100/100] Batch 0/8 Loss D: 0.2774, Loss G: 5.8057
B: 500, <balancers.dgan.DGAN object at 0x15060919f4d0>
./maritime-flags-dataset/imbalanced_flags/images/B
Epoch [1/100] Batch 0/8 Loss D: 1.4039, Loss G: 7.0498
Epoch [2/100] Batch 0/8 Loss D: 0.0838, Loss G: 12.7878
Epoch [3/100] Batch 0/8 Loss D: 0.1117, Loss G: 20.7355
Epoch [4/100] Batch 0/8 Loss D: 0.2127, Loss G: 18.9723
Epoch [5/100] Batch 0/8 Loss D: 0.0688, Loss G: 18.2826
Epoch [6/100] Batch 0/8 Loss D: 0.0793, Loss G: 19.4686
Epoch [7/100] Batch 0/8 Loss D: 0.0871, Loss G: 19.8444
Epoch [8/100] Batch 0/8 Loss D: 0.4252, Loss G: 19.4560
Epoch [9/100] Batch 0/8 Loss D: 1.6166, Loss G: 18.8978
Epoch [10/100] Batch 0/8 Loss D: 0.0220, Loss G: 15.6697
Epoch [11/100] Batch 0/8 Loss D: 0.0435, Loss G: 13.9195
Epoch [12/100] Batch 0/8 Loss D: 0.0189, Loss G: 8.5702
Epoch [13/100] Batch 0/8 Loss D: 0.1466, Loss G: 11.7033
Epoch [14/100] Batch 0/8 Loss D: 0.0871, Loss G: 9.9450
Epoch [15/100] Batch 0/8 Loss D: 0.0661, Loss G: 6.1290
Epoch [16/100] Batch 0/8 Loss D: 0.0663, Loss G: 5.8366
Epoch [17/100] Batch 0/8 Loss D: 0.0990, Loss G: 14.4897
Epoch [18/100] Batch 0/8 Loss D: 0.0587, Loss G: 6.0400
Epoch [19/100] Batch 0/8 Loss D: 0.0582, Loss G: 7.2551
Epoch [20/100] Batch 0/8 Loss D: 0.0373, Loss G: 11.6941
Epoch [21/100] Batch 0/8 Loss D: 0.0191, Loss G: 11.9493
Epoch [22/100] Batch 0/8 Loss D: 0.0081, Loss G: 11.4473
Epoch [23/100] Batch 0/8 Loss D: 0.0845, Loss G: 9.0335
Epoch [24/100] Batch 0/8 Loss D: 0.2055, Loss G: 11.6563
Epoch [25/100] Batch 0/8 Loss D: 0.2280, Loss G: 5.7200
Epoch [26/100] Batch 0/8 Loss D: 1.8910, Loss G: 1.6144
Epoch [27/100] Batch 0/8 Loss D: 0.3113, Loss G: 4.9159
Epoch [28/100] Batch 0/8 Loss D: 1.0009, Loss G: 5.9021
Epoch [29/100] Batch 0/8 Loss D: 1.2466, Loss G: 5.7296
Epoch [30/100] Batch 0/8 Loss D: 0.7758, Loss G: 3.0646
Epoch [31/100] Batch 0/8 Loss D: 0.3771, Loss G: 2.8021
Epoch [32/100] Batch 0/8 Loss D: 1.1080, Loss G: 1.1284
Epoch [33/100] Batch 0/8 Loss D: 0.4225, Loss G: 3.0166
Epoch [34/100] Batch 0/8 Loss D: 0.9528, Loss G: 3.7812
Epoch [35/100] Batch 0/8 Loss D: 0.7190, Loss G: 4.1045
Epoch [36/100] Batch 0/8 Loss D: 0.5486, Loss G: 3.5098
Epoch [37/100] Batch 0/8 Loss D: 1.0421, Loss G: 0.9108
Epoch [38/100] Batch 0/8 Loss D: 0.3083, Loss G: 2.7174
Epoch [39/100] Batch 0/8 Loss D: 0.7478, Loss G: 6.0385
Epoch [40/100] Batch 0/8 Loss D: 0.7685, Loss G: 3.9168
Epoch [41/100] Batch 0/8 Loss D: 0.5631, Loss G: 3.7524
Epoch [42/100] Batch 0/8 Loss D: 0.9582, Loss G: 3.8345
Epoch [43/100] Batch 0/8 Loss D: 0.5795, Loss G: 2.4287
Epoch [44/100] Batch 0/8 Loss D: 0.2006, Loss G: 4.3646
Epoch [45/100] Batch 0/8 Loss D: 0.4232, Loss G: 3.4621
Epoch [46/100] Batch 0/8 Loss D: 0.6952, Loss G: 5.9557
Epoch [47/100] Batch 0/8 Loss D: 0.3747, Loss G: 4.1825
Epoch [48/100] Batch 0/8 Loss D: 0.3904, Loss G: 6.2924
Epoch [49/100] Batch 0/8 Loss D: 7.2593, Loss G: 5.5745
Epoch [50/100] Batch 0/8 Loss D: 0.3473, Loss G: 2.9717
Epoch [51/100] Batch 0/8 Loss D: 0.2738, Loss G: 3.4218
Epoch [52/100] Batch 0/8 Loss D: 0.2951, Loss G: 2.4899
Epoch [53/100] Batch 0/8 Loss D: 4.4519, Loss G: 4.3384
Epoch [54/100] Batch 0/8 Loss D: 0.2438, Loss G: 3.6682
Epoch [55/100] Batch 0/8 Loss D: 1.6199, Loss G: 7.9647
Epoch [56/100] Batch 0/8 Loss D: 0.2951, Loss G: 3.7654
Epoch [57/100] Batch 0/8 Loss D: 0.3070, Loss G: 3.1447
Epoch [58/100] Batch 0/8 Loss D: 0.1822, Loss G: 4.5930
Epoch [59/100] Batch 0/8 Loss D: 0.0881, Loss G: 5.0966
Epoch [60/100] Batch 0/8 Loss D: 0.1579, Loss G: 4.6021
Epoch [61/100] Batch 0/8 Loss D: 0.0511, Loss G: 5.1607
Epoch [62/100] Batch 0/8 Loss D: 0.7121, Loss G: 2.4324
Epoch [63/100] Batch 0/8 Loss D: 0.2800, Loss G: 3.4550
Epoch [64/100] Batch 0/8 Loss D: 1.0500, Loss G: 4.6444
Epoch [65/100] Batch 0/8 Loss D: 2.9416, Loss G: 5.0180
Epoch [66/100] Batch 0/8 Loss D: 0.2770, Loss G: 3.9419
Epoch [67/100] Batch 0/8 Loss D: 0.3979, Loss G: 3.8506
Epoch [68/100] Batch 0/8 Loss D: 0.3547, Loss G: 2.5639
Epoch [69/100] Batch 0/8 Loss D: 1.2433, Loss G: 2.7405
Epoch [70/100] Batch 0/8 Loss D: 0.2780, Loss G: 3.0809
Epoch [71/100] Batch 0/8 Loss D: 0.2371, Loss G: 3.5271
Epoch [72/100] Batch 0/8 Loss D: 0.1427, Loss G: 4.2545
Epoch [73/100] Batch 0/8 Loss D: 0.2520, Loss G: 4.6941
Epoch [74/100] Batch 0/8 Loss D: 0.1004, Loss G: 3.9205
Epoch [75/100] Batch 0/8 Loss D: 0.5183, Loss G: 4.3868
Epoch [76/100] Batch 0/8 Loss D: 0.2729, Loss G: 5.6638
Epoch [77/100] Batch 0/8 Loss D: 1.2348, Loss G: 7.0338
Epoch [78/100] Batch 0/8 Loss D: 0.3573, Loss G: 4.5102
Epoch [79/100] Batch 0/8 Loss D: 0.0298, Loss G: 5.7772
Epoch [80/100] Batch 0/8 Loss D: 0.1087, Loss G: 6.3114
Epoch [81/100] Batch 0/8 Loss D: 0.2645, Loss G: 5.2087
Epoch [82/100] Batch 0/8 Loss D: 0.5662, Loss G: 2.7646
Epoch [83/100] Batch 0/8 Loss D: 0.8131, Loss G: 7.3806
Epoch [84/100] Batch 0/8 Loss D: 0.5217, Loss G: 5.7432
Epoch [85/100] Batch 0/8 Loss D: 0.3239, Loss G: 2.9611
Epoch [86/100] Batch 0/8 Loss D: 0.2436, Loss G: 3.0766
Epoch [87/100] Batch 0/8 Loss D: 0.7073, Loss G: 2.3870
Epoch [88/100] Batch 0/8 Loss D: 0.3515, Loss G: 3.1040
Epoch [89/100] Batch 0/8 Loss D: 0.3900, Loss G: 2.6974
Epoch [90/100] Batch 0/8 Loss D: 0.1531, Loss G: 2.9265
Epoch [91/100] Batch 0/8 Loss D: 0.1444, Loss G: 4.8397
Epoch [92/100] Batch 0/8 Loss D: 0.3715, Loss G: 4.5231
Epoch [93/100] Batch 0/8 Loss D: 0.1456, Loss G: 3.9593
Epoch [94/100] Batch 0/8 Loss D: 0.4750, Loss G: 5.6312
Epoch [95/100] Batch 0/8 Loss D: 0.1977, Loss G: 4.7353
Epoch [96/100] Batch 0/8 Loss D: 0.4743, Loss G: 6.9044
Epoch [97/100] Batch 0/8 Loss D: 0.2456, Loss G: 3.5289
Epoch [98/100] Batch 0/8 Loss D: 0.3303, Loss G: 5.1813
Epoch [99/100] Batch 0/8 Loss D: 3.0645, Loss G: 5.7862
Epoch [100/100] Batch 0/8 Loss D: 0.4974, Loss G: 4.0637
P: 500, <balancers.dgan.DGAN object at 0x1506091b6e50>
./maritime-flags-dataset/imbalanced_flags/images/P
Epoch [1/100] Batch 0/8 Loss D: 1.5660, Loss G: 7.4845
Epoch [2/100] Batch 0/8 Loss D: 0.1421, Loss G: 15.4894
Epoch [3/100] Batch 0/8 Loss D: 0.3014, Loss G: 22.7017
Epoch [4/100] Batch 0/8 Loss D: 0.4918, Loss G: 20.4471
Epoch [5/100] Batch 0/8 Loss D: 0.0428, Loss G: 13.5044
Epoch [6/100] Batch 0/8 Loss D: 0.3682, Loss G: 5.7461
Epoch [7/100] Batch 0/8 Loss D: 0.3612, Loss G: 3.7605
Epoch [8/100] Batch 0/8 Loss D: 1.7628, Loss G: 6.7152
Epoch [9/100] Batch 0/8 Loss D: 2.0938, Loss G: 8.9454
Epoch [10/100] Batch 0/8 Loss D: 0.2929, Loss G: 4.2049
Epoch [11/100] Batch 0/8 Loss D: 0.3448, Loss G: 4.2920
Epoch [12/100] Batch 0/8 Loss D: 0.2298, Loss G: 3.3564
Epoch [13/100] Batch 0/8 Loss D: 0.1412, Loss G: 2.9265
Epoch [14/100] Batch 0/8 Loss D: 1.2890, Loss G: 10.0000
Epoch [15/100] Batch 0/8 Loss D: 0.7259, Loss G: 7.8262
Epoch [16/100] Batch 0/8 Loss D: 0.0888, Loss G: 4.0459
Epoch [17/100] Batch 0/8 Loss D: 0.0765, Loss G: 5.0257
Epoch [18/100] Batch 0/8 Loss D: 0.0667, Loss G: 4.1969
Epoch [19/100] Batch 0/8 Loss D: 0.0531, Loss G: 6.6691
Epoch [20/100] Batch 0/8 Loss D: 0.0590, Loss G: 7.0931
Epoch [21/100] Batch 0/8 Loss D: 0.0865, Loss G: 4.1847
Epoch [22/100] Batch 0/8 Loss D: 2.2956, Loss G: 11.6038
Epoch [23/100] Batch 0/8 Loss D: 0.0366, Loss G: 5.1889
Epoch [24/100] Batch 0/8 Loss D: 0.0422, Loss G: 3.8474
Epoch [25/100] Batch 0/8 Loss D: 0.1986, Loss G: 10.7146
Epoch [26/100] Batch 0/8 Loss D: 0.1314, Loss G: 7.6903
Epoch [27/100] Batch 0/8 Loss D: 0.2113, Loss G: 3.5040
Epoch [28/100] Batch 0/8 Loss D: 1.1894, Loss G: 5.8790
Epoch [29/100] Batch 0/8 Loss D: 0.3739, Loss G: 4.4770
Epoch [30/100] Batch 0/8 Loss D: 0.5141, Loss G: 6.7576
Epoch [31/100] Batch 0/8 Loss D: 0.6209, Loss G: 2.2889
Epoch [32/100] Batch 0/8 Loss D: 0.5162, Loss G: 2.2026
Epoch [33/100] Batch 0/8 Loss D: 0.3484, Loss G: 1.7568
Epoch [34/100] Batch 0/8 Loss D: 0.6711, Loss G: 5.9415
Epoch [35/100] Batch 0/8 Loss D: 0.4693, Loss G: 7.1658
Epoch [36/100] Batch 0/8 Loss D: 1.4783, Loss G: 8.6633
Epoch [37/100] Batch 0/8 Loss D: 0.1827, Loss G: 3.5107
Epoch [38/100] Batch 0/8 Loss D: 0.6387, Loss G: 1.2364
Epoch [39/100] Batch 0/8 Loss D: 0.3055, Loss G: 3.0319
Epoch [40/100] Batch 0/8 Loss D: 0.3985, Loss G: 3.9303
Epoch [41/100] Batch 0/8 Loss D: 0.3782, Loss G: 3.8911
Epoch [42/100] Batch 0/8 Loss D: 0.8254, Loss G: 2.1347
Epoch [43/100] Batch 0/8 Loss D: 0.3693, Loss G: 3.2338
Epoch [44/100] Batch 0/8 Loss D: 0.2747, Loss G: 4.0949
Epoch [45/100] Batch 0/8 Loss D: 0.1848, Loss G: 3.4754
Epoch [46/100] Batch 0/8 Loss D: 0.1228, Loss G: 4.0536
Epoch [47/100] Batch 0/8 Loss D: 2.5151, Loss G: 1.9527
Epoch [48/100] Batch 0/8 Loss D: 0.6318, Loss G: 2.3421
Epoch [49/100] Batch 0/8 Loss D: 0.9025, Loss G: 6.8153
Epoch [50/100] Batch 0/8 Loss D: 0.4357, Loss G: 2.7051
Epoch [51/100] Batch 0/8 Loss D: 0.0876, Loss G: 4.1512
Epoch [52/100] Batch 0/8 Loss D: 0.1100, Loss G: 4.8170
Epoch [53/100] Batch 0/8 Loss D: 0.7027, Loss G: 9.7678
Epoch [54/100] Batch 0/8 Loss D: 0.5046, Loss G: 8.4683
Epoch [55/100] Batch 0/8 Loss D: 0.2123, Loss G: 9.0794
Epoch [56/100] Batch 0/8 Loss D: 1.4219, Loss G: 14.0087
Epoch [57/100] Batch 0/8 Loss D: 0.3674, Loss G: 2.2908
Epoch [58/100] Batch 0/8 Loss D: 0.2369, Loss G: 3.6014
Epoch [59/100] Batch 0/8 Loss D: 0.3019, Loss G: 1.5759
Epoch [60/100] Batch 0/8 Loss D: 0.3371, Loss G: 4.2666
Epoch [61/100] Batch 0/8 Loss D: 0.5466, Loss G: 2.6503
Epoch [62/100] Batch 0/8 Loss D: 0.1352, Loss G: 4.6002
Epoch [63/100] Batch 0/8 Loss D: 0.2896, Loss G: 3.1024
Epoch [64/100] Batch 0/8 Loss D: 1.8809, Loss G: 2.5608
Epoch [65/100] Batch 0/8 Loss D: 0.3273, Loss G: 3.3979
Epoch [66/100] Batch 0/8 Loss D: 0.3189, Loss G: 1.9809
Epoch [67/100] Batch 0/8 Loss D: 0.6914, Loss G: 4.6620
Epoch [68/100] Batch 0/8 Loss D: 0.2264, Loss G: 4.2171
Epoch [69/100] Batch 0/8 Loss D: 0.5809, Loss G: 3.8465
Epoch [70/100] Batch 0/8 Loss D: 0.3925, Loss G: 6.2354
Epoch [71/100] Batch 0/8 Loss D: 0.6517, Loss G: 6.3795
Epoch [72/100] Batch 0/8 Loss D: 0.6633, Loss G: 2.4913
Epoch [73/100] Batch 0/8 Loss D: 0.2839, Loss G: 5.7967
Epoch [74/100] Batch 0/8 Loss D: 0.1408, Loss G: 4.3191
Epoch [75/100] Batch 0/8 Loss D: 1.5347, Loss G: 2.8303
Epoch [76/100] Batch 0/8 Loss D: 1.1331, Loss G: 5.4388
Epoch [77/100] Batch 0/8 Loss D: 0.1975, Loss G: 3.6358
Epoch [78/100] Batch 0/8 Loss D: 0.6285, Loss G: 2.8535
Epoch [79/100] Batch 0/8 Loss D: 2.3252, Loss G: 3.8471
Epoch [80/100] Batch 0/8 Loss D: 0.4903, Loss G: 5.3861
Epoch [81/100] Batch 0/8 Loss D: 0.3089, Loss G: 4.6382
Epoch [82/100] Batch 0/8 Loss D: 0.1608, Loss G: 3.5148
Epoch [83/100] Batch 0/8 Loss D: 0.4778, Loss G: 2.6610
Epoch [84/100] Batch 0/8 Loss D: 0.3787, Loss G: 6.0117
Epoch [85/100] Batch 0/8 Loss D: 0.1400, Loss G: 4.3417
Epoch [86/100] Batch 0/8 Loss D: 0.3214, Loss G: 3.5192
Epoch [87/100] Batch 0/8 Loss D: 0.6458, Loss G: 4.9279
Epoch [88/100] Batch 0/8 Loss D: 0.4320, Loss G: 3.2904
Epoch [89/100] Batch 0/8 Loss D: 0.2592, Loss G: 3.4043
Epoch [90/100] Batch 0/8 Loss D: 0.3830, Loss G: 2.4962
Epoch [91/100] Batch 0/8 Loss D: 0.3205, Loss G: 3.2662
Epoch [92/100] Batch 0/8 Loss D: 0.6231, Loss G: 4.2813
Epoch [93/100] Batch 0/8 Loss D: 0.2518, Loss G: 2.5168
Epoch [94/100] Batch 0/8 Loss D: 0.7630, Loss G: 4.3346
Epoch [95/100] Batch 0/8 Loss D: 0.3390, Loss G: 4.5809
Epoch [96/100] Batch 0/8 Loss D: 0.2708, Loss G: 3.0257
Epoch [97/100] Batch 0/8 Loss D: 0.2455, Loss G: 4.0047
Epoch [98/100] Batch 0/8 Loss D: 0.9533, Loss G: 1.2300
Epoch [99/100] Batch 0/8 Loss D: 0.6120, Loss G: 4.2504
Epoch [100/100] Batch 0/8 Loss D: 0.3044, Loss G: 2.8258
W: 500, <balancers.dgan.DGAN object at 0x150600b53210>
./maritime-flags-dataset/imbalanced_flags/images/W
Epoch [1/100] Batch 0/8 Loss D: 1.3788, Loss G: 4.7776
Epoch [2/100] Batch 0/8 Loss D: 1.2484, Loss G: 21.4160
Epoch [3/100] Batch 0/8 Loss D: 0.0330, Loss G: 20.3019
Epoch [4/100] Batch 0/8 Loss D: 0.0073, Loss G: 20.1595
Epoch [5/100] Batch 0/8 Loss D: 0.1297, Loss G: 10.2575
Epoch [6/100] Batch 0/8 Loss D: 0.2146, Loss G: 16.7597
Epoch [7/100] Batch 0/8 Loss D: 0.0700, Loss G: 7.9940
Epoch [8/100] Batch 0/8 Loss D: 0.0850, Loss G: 7.9996
Epoch [9/100] Batch 0/8 Loss D: 0.0450, Loss G: 7.1085
Epoch [10/100] Batch 0/8 Loss D: 0.5728, Loss G: 13.6561
Epoch [11/100] Batch 0/8 Loss D: 0.0613, Loss G: 4.8849
Epoch [12/100] Batch 0/8 Loss D: 1.2070, Loss G: 12.1525
Epoch [13/100] Batch 0/8 Loss D: 0.1401, Loss G: 5.4884
Epoch [14/100] Batch 0/8 Loss D: 0.2394, Loss G: 12.5220
Epoch [15/100] Batch 0/8 Loss D: 0.5832, Loss G: 13.7456
Epoch [16/100] Batch 0/8 Loss D: 2.9135, Loss G: 11.8917
Epoch [17/100] Batch 0/8 Loss D: 0.1531, Loss G: 3.5710
Epoch [18/100] Batch 0/8 Loss D: 0.3120, Loss G: 9.5659
Epoch [19/100] Batch 0/8 Loss D: 0.0661, Loss G: 4.4818
Epoch [20/100] Batch 0/8 Loss D: 0.0212, Loss G: 6.3796
Epoch [21/100] Batch 0/8 Loss D: 0.2270, Loss G: 5.0156
Epoch [22/100] Batch 0/8 Loss D: 0.0420, Loss G: 11.2488
Epoch [23/100] Batch 0/8 Loss D: 0.0240, Loss G: 15.6458
Epoch [24/100] Batch 0/8 Loss D: 0.0016, Loss G: 9.6825
Epoch [25/100] Batch 0/8 Loss D: 0.0118, Loss G: 6.9265
Epoch [26/100] Batch 0/8 Loss D: 0.0286, Loss G: 6.1026
Epoch [27/100] Batch 0/8 Loss D: 0.0057, Loss G: 7.0361
Epoch [28/100] Batch 0/8 Loss D: 0.0706, Loss G: 9.3542
Epoch [29/100] Batch 0/8 Loss D: 0.0273, Loss G: 11.5878
Epoch [30/100] Batch 0/8 Loss D: 0.2231, Loss G: 13.0052
Epoch [31/100] Batch 0/8 Loss D: 0.6554, Loss G: 4.2436
Epoch [32/100] Batch 0/8 Loss D: 1.4166, Loss G: 10.4634
Epoch [33/100] Batch 0/8 Loss D: 0.0863, Loss G: 3.4322
Epoch [34/100] Batch 0/8 Loss D: 0.3829, Loss G: 4.8832
Epoch [35/100] Batch 0/8 Loss D: 0.3075, Loss G: 9.2574
Epoch [36/100] Batch 0/8 Loss D: 0.0259, Loss G: 9.3785
Epoch [37/100] Batch 0/8 Loss D: 1.2572, Loss G: 7.6355
Epoch [38/100] Batch 0/8 Loss D: 0.3520, Loss G: 6.4047
Epoch [39/100] Batch 0/8 Loss D: 0.1906, Loss G: 3.9987
Epoch [40/100] Batch 0/8 Loss D: 0.0834, Loss G: 3.7316
Epoch [41/100] Batch 0/8 Loss D: 1.3489, Loss G: 4.6694
Epoch [42/100] Batch 0/8 Loss D: 0.4956, Loss G: 5.9518
Epoch [43/100] Batch 0/8 Loss D: 0.2335, Loss G: 4.1897
Epoch [44/100] Batch 0/8 Loss D: 0.4481, Loss G: 2.8925
Epoch [45/100] Batch 0/8 Loss D: 0.2222, Loss G: 4.0728
Epoch [46/100] Batch 0/8 Loss D: 0.2247, Loss G: 4.8648
Epoch [47/100] Batch 0/8 Loss D: 0.2005, Loss G: 4.5686
Epoch [48/100] Batch 0/8 Loss D: 0.6455, Loss G: 3.4867
Epoch [49/100] Batch 0/8 Loss D: 0.3646, Loss G: 2.4332
Epoch [50/100] Batch 0/8 Loss D: 0.6804, Loss G: 1.2141
Epoch [51/100] Batch 0/8 Loss D: 0.2874, Loss G: 4.8192
Epoch [52/100] Batch 0/8 Loss D: 1.4663, Loss G: 9.2187
Epoch [53/100] Batch 0/8 Loss D: 0.3520, Loss G: 4.0521
Epoch [54/100] Batch 0/8 Loss D: 0.2947, Loss G: 2.2844
Epoch [55/100] Batch 0/8 Loss D: 0.4048, Loss G: 3.2412
Epoch [56/100] Batch 0/8 Loss D: 0.2417, Loss G: 3.4091
Epoch [57/100] Batch 0/8 Loss D: 2.3700, Loss G: 5.7921
Epoch [58/100] Batch 0/8 Loss D: 1.4724, Loss G: 8.1284
Epoch [59/100] Batch 0/8 Loss D: 0.2906, Loss G: 3.2923
Epoch [60/100] Batch 0/8 Loss D: 0.4217, Loss G: 5.5846
Epoch [61/100] Batch 0/8 Loss D: 0.2029, Loss G: 4.4553
Epoch [62/100] Batch 0/8 Loss D: 0.2835, Loss G: 6.2398
Epoch [63/100] Batch 0/8 Loss D: 0.5232, Loss G: 0.7801
Epoch [64/100] Batch 0/8 Loss D: 0.7013, Loss G: 2.8318
Epoch [65/100] Batch 0/8 Loss D: 0.3916, Loss G: 3.0310
Epoch [66/100] Batch 0/8 Loss D: 1.1135, Loss G: 3.2836
Epoch [67/100] Batch 0/8 Loss D: 0.9076, Loss G: 2.5061
Epoch [68/100] Batch 0/8 Loss D: 2.3961, Loss G: 2.6119
Epoch [69/100] Batch 0/8 Loss D: 0.4574, Loss G: 5.0930
Epoch [70/100] Batch 0/8 Loss D: 0.6543, Loss G: 6.3657
Epoch [71/100] Batch 0/8 Loss D: 0.2188, Loss G: 3.2459
Epoch [72/100] Batch 0/8 Loss D: 0.1375, Loss G: 2.9405
Epoch [73/100] Batch 0/8 Loss D: 0.5617, Loss G: 3.0180
Epoch [74/100] Batch 0/8 Loss D: 0.4612, Loss G: 4.5222
Epoch [75/100] Batch 0/8 Loss D: 0.2008, Loss G: 4.2139
Epoch [76/100] Batch 0/8 Loss D: 0.3193, Loss G: 7.9394
Epoch [77/100] Batch 0/8 Loss D: 0.5438, Loss G: 5.6175
Epoch [78/100] Batch 0/8 Loss D: 0.3556, Loss G: 4.7371
Epoch [79/100] Batch 0/8 Loss D: 0.1498, Loss G: 4.3441
Epoch [80/100] Batch 0/8 Loss D: 0.1399, Loss G: 3.8725
Epoch [81/100] Batch 0/8 Loss D: 0.2324, Loss G: 2.7399
Epoch [82/100] Batch 0/8 Loss D: 0.3621, Loss G: 3.5484
Epoch [83/100] Batch 0/8 Loss D: 0.4212, Loss G: 6.1203
Epoch [84/100] Batch 0/8 Loss D: 0.2164, Loss G: 4.3698
Epoch [85/100] Batch 0/8 Loss D: 0.3145, Loss G: 6.0242
Epoch [86/100] Batch 0/8 Loss D: 0.3136, Loss G: 4.1049
Epoch [87/100] Batch 0/8 Loss D: 0.2101, Loss G: 3.3963
Epoch [88/100] Batch 0/8 Loss D: 0.8819, Loss G: 4.9892
Epoch [89/100] Batch 0/8 Loss D: 0.3550, Loss G: 4.0695
Epoch [90/100] Batch 0/8 Loss D: 0.1462, Loss G: 5.3700
Epoch [91/100] Batch 0/8 Loss D: 0.1780, Loss G: 4.2657
Epoch [92/100] Batch 0/8 Loss D: 0.4824, Loss G: 3.0895
Epoch [93/100] Batch 0/8 Loss D: 0.2870, Loss G: 3.9637
Epoch [94/100] Batch 0/8 Loss D: 0.2668, Loss G: 3.4238
Epoch [95/100] Batch 0/8 Loss D: 1.4025, Loss G: 4.4342
Epoch [96/100] Batch 0/8 Loss D: 0.2419, Loss G: 3.9818
Epoch [97/100] Batch 0/8 Loss D: 0.1746, Loss G: 3.7040
Epoch [98/100] Batch 0/8 Loss D: 0.1499, Loss G: 3.4343
Epoch [99/100] Batch 0/8 Loss D: 0.1263, Loss G: 4.9732
Epoch [100/100] Batch 0/8 Loss D: 0.1264, Loss G: 4.9420
X: 500, <balancers.dgan.DGAN object at 0x150600b67b90>
./maritime-flags-dataset/imbalanced_flags/images/X
Epoch [1/100] Batch 0/8 Loss D: 1.4483, Loss G: 5.3516
Epoch [2/100] Batch 0/8 Loss D: 0.0773, Loss G: 18.4557
Epoch [3/100] Batch 0/8 Loss D: 0.0905, Loss G: 11.2954
Epoch [4/100] Batch 0/8 Loss D: 0.2880, Loss G: 24.7161
Epoch [5/100] Batch 0/8 Loss D: 0.0107, Loss G: 11.3785
Epoch [6/100] Batch 0/8 Loss D: 0.0230, Loss G: 7.7510
Epoch [7/100] Batch 0/8 Loss D: 0.0609, Loss G: 9.7579
Epoch [8/100] Batch 0/8 Loss D: 0.2629, Loss G: 3.4719
Epoch [9/100] Batch 0/8 Loss D: 0.7087, Loss G: 9.3679
Epoch [10/100] Batch 0/8 Loss D: 0.7815, Loss G: 10.1406
Epoch [11/100] Batch 0/8 Loss D: 0.0901, Loss G: 3.1102
Epoch [12/100] Batch 0/8 Loss D: 0.1779, Loss G: 5.8735
Epoch [13/100] Batch 0/8 Loss D: 0.1512, Loss G: 3.1501
Epoch [14/100] Batch 0/8 Loss D: 0.2311, Loss G: 5.0697
Epoch [15/100] Batch 0/8 Loss D: 0.1535, Loss G: 5.3353
Epoch [16/100] Batch 0/8 Loss D: 0.1482, Loss G: 3.8599
Epoch [17/100] Batch 0/8 Loss D: 0.2039, Loss G: 6.4004
Epoch [18/100] Batch 0/8 Loss D: 1.5302, Loss G: 18.4604
Epoch [19/100] Batch 0/8 Loss D: 0.0817, Loss G: 4.5514
Epoch [20/100] Batch 0/8 Loss D: 1.9463, Loss G: 8.4314
Epoch [21/100] Batch 0/8 Loss D: 0.1416, Loss G: 4.2045
Epoch [22/100] Batch 0/8 Loss D: 0.8168, Loss G: 5.6129
Epoch [23/100] Batch 0/8 Loss D: 0.6632, Loss G: 7.1944
Epoch [24/100] Batch 0/8 Loss D: 0.3717, Loss G: 2.6295
Epoch [25/100] Batch 0/8 Loss D: 1.8064, Loss G: 8.6768
Epoch [26/100] Batch 0/8 Loss D: 0.4136, Loss G: 2.9026
Epoch [27/100] Batch 0/8 Loss D: 0.4716, Loss G: 2.1806
Epoch [28/100] Batch 0/8 Loss D: 0.4600, Loss G: 2.3835
Epoch [29/100] Batch 0/8 Loss D: 0.3077, Loss G: 2.4918
Epoch [30/100] Batch 0/8 Loss D: 0.7158, Loss G: 2.1838
Epoch [31/100] Batch 0/8 Loss D: 0.4862, Loss G: 3.2083
Epoch [32/100] Batch 0/8 Loss D: 0.5252, Loss G: 3.3572
Epoch [33/100] Batch 0/8 Loss D: 0.7065, Loss G: 1.4457
Epoch [34/100] Batch 0/8 Loss D: 0.7138, Loss G: 4.6641
Epoch [35/100] Batch 0/8 Loss D: 0.8040, Loss G: 1.8651
Epoch [36/100] Batch 0/8 Loss D: 0.5725, Loss G: 4.2226
Epoch [37/100] Batch 0/8 Loss D: 0.2594, Loss G: 3.3124
Epoch [38/100] Batch 0/8 Loss D: 0.6614, Loss G: 2.7153
Epoch [39/100] Batch 0/8 Loss D: 0.7927, Loss G: 2.5106
Epoch [40/100] Batch 0/8 Loss D: 0.4072, Loss G: 2.8659
Epoch [41/100] Batch 0/8 Loss D: 0.8092, Loss G: 7.9752
Epoch [42/100] Batch 0/8 Loss D: 0.6536, Loss G: 3.4339
Epoch [43/100] Batch 0/8 Loss D: 0.6287, Loss G: 3.6354
Epoch [44/100] Batch 0/8 Loss D: 0.5929, Loss G: 5.8868
Epoch [45/100] Batch 0/8 Loss D: 0.3842, Loss G: 3.8451
Epoch [46/100] Batch 0/8 Loss D: 0.4777, Loss G: 2.5338
Epoch [47/100] Batch 0/8 Loss D: 0.4331, Loss G: 3.9637
Epoch [48/100] Batch 0/8 Loss D: 1.7236, Loss G: 1.8238
Epoch [49/100] Batch 0/8 Loss D: 0.4189, Loss G: 2.8963
Epoch [50/100] Batch 0/8 Loss D: 0.2324, Loss G: 4.2607
Epoch [51/100] Batch 0/8 Loss D: 0.7668, Loss G: 3.8820
Epoch [52/100] Batch 0/8 Loss D: 0.6655, Loss G: 1.8933
Epoch [53/100] Batch 0/8 Loss D: 0.3196, Loss G: 3.3234
Epoch [54/100] Batch 0/8 Loss D: 0.3994, Loss G: 2.1121
Epoch [55/100] Batch 0/8 Loss D: 0.4434, Loss G: 4.4344
Epoch [56/100] Batch 0/8 Loss D: 1.5838, Loss G: 6.0854
Epoch [57/100] Batch 0/8 Loss D: 0.3717, Loss G: 3.0978
Epoch [58/100] Batch 0/8 Loss D: 0.3165, Loss G: 3.1515
Epoch [59/100] Batch 0/8 Loss D: 0.4403, Loss G: 3.8620
Epoch [60/100] Batch 0/8 Loss D: 0.2711, Loss G: 4.7791
Epoch [61/100] Batch 0/8 Loss D: 0.4257, Loss G: 6.1275
Epoch [62/100] Batch 0/8 Loss D: 0.1809, Loss G: 4.2989
Epoch [63/100] Batch 0/8 Loss D: 0.2495, Loss G: 2.6805
Epoch [64/100] Batch 0/8 Loss D: 0.2022, Loss G: 2.9116
Epoch [65/100] Batch 0/8 Loss D: 0.5873, Loss G: 3.0673
Epoch [66/100] Batch 0/8 Loss D: 0.4805, Loss G: 2.3576
Epoch [67/100] Batch 0/8 Loss D: 1.0635, Loss G: 4.8845
Epoch [68/100] Batch 0/8 Loss D: 0.3979, Loss G: 3.3032
Epoch [69/100] Batch 0/8 Loss D: 0.4955, Loss G: 4.8902
Epoch [70/100] Batch 0/8 Loss D: 0.2834, Loss G: 4.0578
Epoch [71/100] Batch 0/8 Loss D: 0.2478, Loss G: 3.1812
Epoch [72/100] Batch 0/8 Loss D: 0.2781, Loss G: 2.0587
Epoch [73/100] Batch 0/8 Loss D: 0.7914, Loss G: 6.1003
Epoch [74/100] Batch 0/8 Loss D: 0.3877, Loss G: 2.6882
Epoch [75/100] Batch 0/8 Loss D: 0.2672, Loss G: 4.9680
Epoch [76/100] Batch 0/8 Loss D: 1.1590, Loss G: 6.2167
Epoch [77/100] Batch 0/8 Loss D: 0.5878, Loss G: 2.1139
Epoch [78/100] Batch 0/8 Loss D: 0.3032, Loss G: 2.6939
Epoch [79/100] Batch 0/8 Loss D: 0.4442, Loss G: 2.9420
Epoch [80/100] Batch 0/8 Loss D: 0.3314, Loss G: 2.6511
Epoch [81/100] Batch 0/8 Loss D: 0.1934, Loss G: 3.2638
Epoch [82/100] Batch 0/8 Loss D: 0.1775, Loss G: 4.0252
Epoch [83/100] Batch 0/8 Loss D: 0.1265, Loss G: 4.1114
Epoch [84/100] Batch 0/8 Loss D: 0.1693, Loss G: 3.1378
Epoch [85/100] Batch 0/8 Loss D: 0.1851, Loss G: 3.4135
Epoch [86/100] Batch 0/8 Loss D: 0.3771, Loss G: 7.5873
Epoch [87/100] Batch 0/8 Loss D: 0.9896, Loss G: 4.3775
Epoch [88/100] Batch 0/8 Loss D: 0.3872, Loss G: 3.6666
Epoch [89/100] Batch 0/8 Loss D: 0.2673, Loss G: 4.5263
Epoch [90/100] Batch 0/8 Loss D: 0.1813, Loss G: 3.8761
Epoch [91/100] Batch 0/8 Loss D: 0.2041, Loss G: 2.9357
Epoch [92/100] Batch 0/8 Loss D: 0.0914, Loss G: 3.7688
Epoch [93/100] Batch 0/8 Loss D: 0.1453, Loss G: 3.1971
Epoch [94/100] Batch 0/8 Loss D: 0.1097, Loss G: 4.7309
Epoch [95/100] Batch 0/8 Loss D: 0.1431, Loss G: 4.1867
Epoch [96/100] Batch 0/8 Loss D: 0.2815, Loss G: 5.9365
Epoch [97/100] Batch 0/8 Loss D: 0.2546, Loss G: 3.5129
Epoch [98/100] Batch 0/8 Loss D: 0.1011, Loss G: 4.4462
Epoch [99/100] Batch 0/8 Loss D: 0.1051, Loss G: 4.7230
Epoch [100/100] Batch 0/8 Loss D: 1.1413, Loss G: 10.0837
C: 500, <balancers.dgan.DGAN object at 0x150600b90590>
./maritime-flags-dataset/imbalanced_flags/images/C
Epoch [1/100] Batch 0/8 Loss D: 1.4304, Loss G: 7.7207
Epoch [2/100] Batch 0/8 Loss D: 0.1856, Loss G: 10.6119
Epoch [3/100] Batch 0/8 Loss D: 0.1021, Loss G: 16.0324
Epoch [4/100] Batch 0/8 Loss D: 0.0222, Loss G: 13.0512
Epoch [5/100] Batch 0/8 Loss D: 4.5136, Loss G: 21.9664
Epoch [6/100] Batch 0/8 Loss D: 4.0079, Loss G: 19.5444
Epoch [7/100] Batch 0/8 Loss D: 0.3243, Loss G: 6.2674
Epoch [8/100] Batch 0/8 Loss D: 0.1288, Loss G: 9.0737
Epoch [9/100] Batch 0/8 Loss D: 0.2722, Loss G: 5.8176
Epoch [10/100] Batch 0/8 Loss D: 2.2238, Loss G: 11.3754
Epoch [11/100] Batch 0/8 Loss D: 0.0938, Loss G: 4.7223
Epoch [12/100] Batch 0/8 Loss D: 0.1175, Loss G: 7.8784
Epoch [13/100] Batch 0/8 Loss D: 0.0625, Loss G: 6.1750
Epoch [14/100] Batch 0/8 Loss D: 0.3238, Loss G: 13.1232
Epoch [15/100] Batch 0/8 Loss D: 0.0130, Loss G: 8.3398
Epoch [16/100] Batch 0/8 Loss D: 4.4448, Loss G: 14.2924
Epoch [17/100] Batch 0/8 Loss D: 0.2433, Loss G: 7.9114
Epoch [18/100] Batch 0/8 Loss D: 0.1384, Loss G: 4.5178
Epoch [19/100] Batch 0/8 Loss D: 0.5777, Loss G: 5.8332
Epoch [20/100] Batch 0/8 Loss D: 0.7552, Loss G: 19.8389
Epoch [21/100] Batch 0/8 Loss D: 0.6747, Loss G: 6.5827
Epoch [22/100] Batch 0/8 Loss D: 0.2719, Loss G: 6.2879
Epoch [23/100] Batch 0/8 Loss D: 0.2635, Loss G: 5.6260
Epoch [24/100] Batch 0/8 Loss D: 0.2992, Loss G: 4.3593
Epoch [25/100] Batch 0/8 Loss D: 0.4414, Loss G: 2.6404
Epoch [26/100] Batch 0/8 Loss D: 0.8209, Loss G: 2.8692
Epoch [27/100] Batch 0/8 Loss D: 0.9436, Loss G: 3.0390
Epoch [28/100] Batch 0/8 Loss D: 0.6847, Loss G: 1.1882
Epoch [29/100] Batch 0/8 Loss D: 0.7187, Loss G: 3.3276
Epoch [30/100] Batch 0/8 Loss D: 0.5299, Loss G: 3.0787
Epoch [31/100] Batch 0/8 Loss D: 0.7226, Loss G: 6.1431
Epoch [32/100] Batch 0/8 Loss D: 0.6627, Loss G: 5.1317
Epoch [33/100] Batch 0/8 Loss D: 0.5030, Loss G: 2.4850
Epoch [34/100] Batch 0/8 Loss D: 0.5951, Loss G: 2.6008
Epoch [35/100] Batch 0/8 Loss D: 0.3661, Loss G: 3.7530
Epoch [36/100] Batch 0/8 Loss D: 0.2794, Loss G: 3.6722
Epoch [37/100] Batch 0/8 Loss D: 0.4153, Loss G: 3.7083
Epoch [38/100] Batch 0/8 Loss D: 0.2910, Loss G: 3.8349
Epoch [39/100] Batch 0/8 Loss D: 0.3003, Loss G: 4.9643
Epoch [40/100] Batch 0/8 Loss D: 0.3916, Loss G: 3.3838
Epoch [41/100] Batch 0/8 Loss D: 0.3469, Loss G: 3.9919
Epoch [42/100] Batch 0/8 Loss D: 0.3998, Loss G: 4.8425
Epoch [43/100] Batch 0/8 Loss D: 1.2506, Loss G: 7.2517
Epoch [44/100] Batch 0/8 Loss D: 1.1982, Loss G: 2.0365
Epoch [45/100] Batch 0/8 Loss D: 0.4222, Loss G: 2.7680
Epoch [46/100] Batch 0/8 Loss D: 0.2661, Loss G: 3.8025
Epoch [47/100] Batch 0/8 Loss D: 0.2745, Loss G: 2.8573
Epoch [48/100] Batch 0/8 Loss D: 0.2695, Loss G: 3.9255
Epoch [49/100] Batch 0/8 Loss D: 0.7419, Loss G: 5.0604
Epoch [50/100] Batch 0/8 Loss D: 0.5243, Loss G: 4.6423
Epoch [51/100] Batch 0/8 Loss D: 0.7758, Loss G: 3.0756
Epoch [52/100] Batch 0/8 Loss D: 0.2908, Loss G: 4.0501
Epoch [53/100] Batch 0/8 Loss D: 0.6183, Loss G: 3.1581
Epoch [54/100] Batch 0/8 Loss D: 0.5212, Loss G: 3.2123
Epoch [55/100] Batch 0/8 Loss D: 0.2910, Loss G: 4.6609
Epoch [56/100] Batch 0/8 Loss D: 0.5334, Loss G: 2.0853
Epoch [57/100] Batch 0/8 Loss D: 0.4265, Loss G: 5.1285
Epoch [58/100] Batch 0/8 Loss D: 0.2943, Loss G: 5.1539
Epoch [59/100] Batch 0/8 Loss D: 0.9228, Loss G: 1.6269
Epoch [60/100] Batch 0/8 Loss D: 0.6052, Loss G: 4.4682
Epoch [61/100] Batch 0/8 Loss D: 0.4693, Loss G: 5.4339
Epoch [62/100] Batch 0/8 Loss D: 0.2449, Loss G: 4.0944
Epoch [63/100] Batch 0/8 Loss D: 1.4000, Loss G: 5.7712
Epoch [64/100] Batch 0/8 Loss D: 0.3205, Loss G: 3.2947
Epoch [65/100] Batch 0/8 Loss D: 0.3505, Loss G: 3.2361
Epoch [66/100] Batch 0/8 Loss D: 0.2648, Loss G: 2.6937
Epoch [67/100] Batch 0/8 Loss D: 1.0412, Loss G: 3.7851
Epoch [68/100] Batch 0/8 Loss D: 0.3392, Loss G: 4.3312
Epoch [69/100] Batch 0/8 Loss D: 0.2295, Loss G: 4.0897
Epoch [70/100] Batch 0/8 Loss D: 0.4007, Loss G: 2.0632
Epoch [71/100] Batch 0/8 Loss D: 0.5602, Loss G: 8.0859
Epoch [72/100] Batch 0/8 Loss D: 0.6579, Loss G: 2.4192
Epoch [73/100] Batch 0/8 Loss D: 0.5753, Loss G: 3.1294
Epoch [74/100] Batch 0/8 Loss D: 0.2828, Loss G: 3.4793
Epoch [75/100] Batch 0/8 Loss D: 0.6426, Loss G: 1.9077
Epoch [76/100] Batch 0/8 Loss D: 0.2619, Loss G: 2.9580
Epoch [77/100] Batch 0/8 Loss D: 0.3824, Loss G: 6.0970
Epoch [78/100] Batch 0/8 Loss D: 0.2917, Loss G: 5.7497
Epoch [79/100] Batch 0/8 Loss D: 0.2149, Loss G: 4.0556
Epoch [80/100] Batch 0/8 Loss D: 0.3041, Loss G: 4.1886
Epoch [81/100] Batch 0/8 Loss D: 0.4694, Loss G: 8.0190
Epoch [82/100] Batch 0/8 Loss D: 0.2517, Loss G: 4.7161
Epoch [83/100] Batch 0/8 Loss D: 0.2926, Loss G: 4.0467
Epoch [84/100] Batch 0/8 Loss D: 0.1953, Loss G: 4.0172
Epoch [85/100] Batch 0/8 Loss D: 0.3176, Loss G: 6.8352
Epoch [86/100] Batch 0/8 Loss D: 0.3012, Loss G: 5.8924
Epoch [87/100] Batch 0/8 Loss D: 0.2228, Loss G: 4.4345
Epoch [88/100] Batch 0/8 Loss D: 0.1491, Loss G: 3.6202
Epoch [89/100] Batch 0/8 Loss D: 0.1658, Loss G: 4.7070
Epoch [90/100] Batch 0/8 Loss D: 0.1400, Loss G: 4.9231
Epoch [91/100] Batch 0/8 Loss D: 0.0981, Loss G: 5.2575
Epoch [92/100] Batch 0/8 Loss D: 0.0853, Loss G: 5.2813
Epoch [93/100] Batch 0/8 Loss D: 0.0530, Loss G: 5.7731
Epoch [94/100] Batch 0/8 Loss D: 0.0491, Loss G: 6.1694
Epoch [95/100] Batch 0/8 Loss D: 0.1198, Loss G: 6.9129
Epoch [96/100] Batch 0/8 Loss D: 0.0535, Loss G: 7.9263
Epoch [97/100] Batch 0/8 Loss D: 0.0146, Loss G: 7.9302
Epoch [98/100] Batch 0/8 Loss D: 0.0163, Loss G: 6.5062
Epoch [99/100] Batch 0/8 Loss D: 0.0231, Loss G: 6.9827
Epoch [100/100] Batch 0/8 Loss D: 0.0450, Loss G: 6.7620
M: 500, <balancers.dgan.DGAN object at 0x150600ba8ed0>
./maritime-flags-dataset/imbalanced_flags/images/M
Epoch [1/100] Batch 0/8 Loss D: 1.3460, Loss G: 5.5952
Epoch [2/100] Batch 0/8 Loss D: 0.2436, Loss G: 14.4125
Epoch [3/100] Batch 0/8 Loss D: 0.0787, Loss G: 20.1109
Epoch [4/100] Batch 0/8 Loss D: 1.9024, Loss G: 22.8529
Epoch [5/100] Batch 0/8 Loss D: 0.5364, Loss G: 9.6688
Epoch [6/100] Batch 0/8 Loss D: 0.4360, Loss G: 8.3620
Epoch [7/100] Batch 0/8 Loss D: 0.0803, Loss G: 9.2494
Epoch [8/100] Batch 0/8 Loss D: 0.1246, Loss G: 4.8254
Epoch [9/100] Batch 0/8 Loss D: 0.3129, Loss G: 5.9641
Epoch [10/100] Batch 0/8 Loss D: 0.4113, Loss G: 5.1689
Epoch [11/100] Batch 0/8 Loss D: 0.0526, Loss G: 5.9256
Epoch [12/100] Batch 0/8 Loss D: 1.7664, Loss G: 11.4765
Epoch [13/100] Batch 0/8 Loss D: 0.5286, Loss G: 9.3970
Epoch [14/100] Batch 0/8 Loss D: 0.4963, Loss G: 4.8171
Epoch [15/100] Batch 0/8 Loss D: 1.2559, Loss G: 13.1910
Epoch [16/100] Batch 0/8 Loss D: 0.3636, Loss G: 3.9765
Epoch [17/100] Batch 0/8 Loss D: 0.2181, Loss G: 4.0108
Epoch [18/100] Batch 0/8 Loss D: 0.2043, Loss G: 7.1310
Epoch [19/100] Batch 0/8 Loss D: 0.1128, Loss G: 4.4759
Epoch [20/100] Batch 0/8 Loss D: 0.7084, Loss G: 13.2141
Epoch [21/100] Batch 0/8 Loss D: 0.0763, Loss G: 4.9939
Epoch [22/100] Batch 0/8 Loss D: 0.0062, Loss G: 7.2601
Epoch [23/100] Batch 0/8 Loss D: 2.4153, Loss G: 16.1435
Epoch [24/100] Batch 0/8 Loss D: 0.4802, Loss G: 3.9511
Epoch [25/100] Batch 0/8 Loss D: 0.2912, Loss G: 3.4299
Epoch [26/100] Batch 0/8 Loss D: 0.6665, Loss G: 5.1467
Epoch [27/100] Batch 0/8 Loss D: 0.5325, Loss G: 1.7446
Epoch [28/100] Batch 0/8 Loss D: 0.7770, Loss G: 2.5111
Epoch [29/100] Batch 0/8 Loss D: 1.0833, Loss G: 8.2263
Epoch [30/100] Batch 0/8 Loss D: 0.2883, Loss G: 3.8254
Epoch [31/100] Batch 0/8 Loss D: 1.5856, Loss G: 5.5297
Epoch [32/100] Batch 0/8 Loss D: 0.2534, Loss G: 3.2800
Epoch [33/100] Batch 0/8 Loss D: 3.5554, Loss G: 5.1281
Epoch [34/100] Batch 0/8 Loss D: 0.7969, Loss G: 1.6377
Epoch [35/100] Batch 0/8 Loss D: 0.5896, Loss G: 4.0979
Epoch [36/100] Batch 0/8 Loss D: 0.4181, Loss G: 3.4900
Epoch [37/100] Batch 0/8 Loss D: 0.1804, Loss G: 4.1907
Epoch [38/100] Batch 0/8 Loss D: 0.7649, Loss G: 1.3461
Epoch [39/100] Batch 0/8 Loss D: 0.3101, Loss G: 3.3706
Epoch [40/100] Batch 0/8 Loss D: 0.3189, Loss G: 3.1648
Epoch [41/100] Batch 0/8 Loss D: 0.2852, Loss G: 3.4757
Epoch [42/100] Batch 0/8 Loss D: 0.1817, Loss G: 3.8041
Epoch [43/100] Batch 0/8 Loss D: 0.1320, Loss G: 4.8757
Epoch [44/100] Batch 0/8 Loss D: 0.2058, Loss G: 6.1194
Epoch [45/100] Batch 0/8 Loss D: 0.1921, Loss G: 4.6762
Epoch [46/100] Batch 0/8 Loss D: 0.3126, Loss G: 4.0096
Epoch [47/100] Batch 0/8 Loss D: 0.3994, Loss G: 4.6068
Epoch [48/100] Batch 0/8 Loss D: 0.3872, Loss G: 3.1544
Epoch [49/100] Batch 0/8 Loss D: 0.1519, Loss G: 3.9715
Epoch [50/100] Batch 0/8 Loss D: 0.1565, Loss G: 4.3320
Epoch [51/100] Batch 0/8 Loss D: 0.1663, Loss G: 4.5012
Epoch [52/100] Batch 0/8 Loss D: 0.4066, Loss G: 8.6026
Epoch [53/100] Batch 0/8 Loss D: 0.2686, Loss G: 4.3488
Epoch [54/100] Batch 0/8 Loss D: 0.1992, Loss G: 4.8391
Epoch [55/100] Batch 0/8 Loss D: 0.2870, Loss G: 5.1591
Epoch [56/100] Batch 0/8 Loss D: 0.1585, Loss G: 3.7920
Epoch [57/100] Batch 0/8 Loss D: 0.1942, Loss G: 5.3412
Epoch [58/100] Batch 0/8 Loss D: 0.2352, Loss G: 6.1765
Epoch [59/100] Batch 0/8 Loss D: 0.0594, Loss G: 5.7780
Epoch [60/100] Batch 0/8 Loss D: 0.4651, Loss G: 5.2379
Epoch [61/100] Batch 0/8 Loss D: 0.4231, Loss G: 6.9605
Epoch [62/100] Batch 0/8 Loss D: 0.1562, Loss G: 4.5115
Epoch [63/100] Batch 0/8 Loss D: 0.1882, Loss G: 3.2665
Epoch [64/100] Batch 0/8 Loss D: 0.4283, Loss G: 8.3985
Epoch [65/100] Batch 0/8 Loss D: 0.6486, Loss G: 1.2013
Epoch [66/100] Batch 0/8 Loss D: 3.6514, Loss G: 2.6981
Epoch [67/100] Batch 0/8 Loss D: 0.4175, Loss G: 4.3133
Epoch [68/100] Batch 0/8 Loss D: 0.3560, Loss G: 2.1657
Epoch [69/100] Batch 0/8 Loss D: 0.4756, Loss G: 6.2979
Epoch [70/100] Batch 0/8 Loss D: 2.2464, Loss G: 0.6215
Epoch [71/100] Batch 0/8 Loss D: 0.4843, Loss G: 2.4993
Epoch [72/100] Batch 0/8 Loss D: 0.3688, Loss G: 2.5980
Epoch [73/100] Batch 0/8 Loss D: 0.2062, Loss G: 3.4140
Epoch [74/100] Batch 0/8 Loss D: 0.3124, Loss G: 3.1450
Epoch [75/100] Batch 0/8 Loss D: 0.4893, Loss G: 5.8360
Epoch [76/100] Batch 0/8 Loss D: 0.2982, Loss G: 5.0220
Epoch [77/100] Batch 0/8 Loss D: 0.5226, Loss G: 7.2042
Epoch [78/100] Batch 0/8 Loss D: 0.2316, Loss G: 3.9235
Epoch [79/100] Batch 0/8 Loss D: 0.2588, Loss G: 3.8620
Epoch [80/100] Batch 0/8 Loss D: 0.2054, Loss G: 5.1375
Epoch [81/100] Batch 0/8 Loss D: 1.7235, Loss G: 0.2341
Epoch [82/100] Batch 0/8 Loss D: 0.5787, Loss G: 4.3026
Epoch [83/100] Batch 0/8 Loss D: 0.3111, Loss G: 3.7676
Epoch [84/100] Batch 0/8 Loss D: 0.1830, Loss G: 3.8748
Epoch [85/100] Batch 0/8 Loss D: 1.1528, Loss G: 6.9636
Epoch [86/100] Batch 0/8 Loss D: 0.2766, Loss G: 2.7144
Epoch [87/100] Batch 0/8 Loss D: 0.2298, Loss G: 5.0010
Epoch [88/100] Batch 0/8 Loss D: 0.1782, Loss G: 3.2644
Epoch [89/100] Batch 0/8 Loss D: 0.5638, Loss G: 7.5637
Epoch [90/100] Batch 0/8 Loss D: 0.5989, Loss G: 4.5065
Epoch [91/100] Batch 0/8 Loss D: 0.3347, Loss G: 2.7630
Epoch [92/100] Batch 0/8 Loss D: 0.1572, Loss G: 4.0917
Epoch [93/100] Batch 0/8 Loss D: 0.1685, Loss G: 4.2080
Epoch [94/100] Batch 0/8 Loss D: 0.1934, Loss G: 5.4850
Epoch [95/100] Batch 0/8 Loss D: 0.2326, Loss G: 6.9937
Epoch [96/100] Batch 0/8 Loss D: 0.4369, Loss G: 2.6622
Epoch [97/100] Batch 0/8 Loss D: 1.6852, Loss G: 7.0520
Epoch [98/100] Batch 0/8 Loss D: 0.3872, Loss G: 4.6852
Epoch [99/100] Batch 0/8 Loss D: 0.1846, Loss G: 4.8118
Epoch [100/100] Batch 0/8 Loss D: 0.2298, Loss G: 5.0969
E: 500, <balancers.dgan.DGAN object at 0x150600bbd6d0>
./maritime-flags-dataset/imbalanced_flags/images/E
Epoch [1/100] Batch 0/8 Loss D: 1.3382, Loss G: 4.3595
Epoch [2/100] Batch 0/8 Loss D: 8.1614, Loss G: 16.5936
Epoch [3/100] Batch 0/8 Loss D: 0.0296, Loss G: 12.2893
Epoch [4/100] Batch 0/8 Loss D: 0.0114, Loss G: 8.9077
Epoch [5/100] Batch 0/8 Loss D: 0.3932, Loss G: 20.8188
Epoch [6/100] Batch 0/8 Loss D: 10.1607, Loss G: 17.8018
Epoch [7/100] Batch 0/8 Loss D: 0.0111, Loss G: 5.7018
Epoch [8/100] Batch 0/8 Loss D: 0.0068, Loss G: 12.6317
Epoch [9/100] Batch 0/8 Loss D: 0.0719, Loss G: 17.4712
Epoch [10/100] Batch 0/8 Loss D: 0.0078, Loss G: 5.6830
Epoch [11/100] Batch 0/8 Loss D: 0.0039, Loss G: 9.6131
Epoch [12/100] Batch 0/8 Loss D: 0.0220, Loss G: 9.8048
Epoch [13/100] Batch 0/8 Loss D: 0.0180, Loss G: 6.2239
Epoch [14/100] Batch 0/8 Loss D: 0.0207, Loss G: 10.8813
Epoch [15/100] Batch 0/8 Loss D: 0.0084, Loss G: 12.0619
Epoch [16/100] Batch 0/8 Loss D: 0.0807, Loss G: 11.0907
Epoch [17/100] Batch 0/8 Loss D: 0.0516, Loss G: 10.6010
Epoch [18/100] Batch 0/8 Loss D: 0.0111, Loss G: 13.8518
Epoch [19/100] Batch 0/8 Loss D: 0.0107, Loss G: 9.8453
Epoch [20/100] Batch 0/8 Loss D: 0.0519, Loss G: 10.4114
Epoch [21/100] Batch 0/8 Loss D: 0.0114, Loss G: 11.5686
Epoch [22/100] Batch 0/8 Loss D: 0.0124, Loss G: 6.7678
Epoch [23/100] Batch 0/8 Loss D: 0.0096, Loss G: 10.0132
Epoch [24/100] Batch 0/8 Loss D: 0.0714, Loss G: 3.9028
Epoch [25/100] Batch 0/8 Loss D: 1.3757, Loss G: 14.0583
Epoch [26/100] Batch 0/8 Loss D: 0.0502, Loss G: 4.1667
Epoch [27/100] Batch 0/8 Loss D: 0.0180, Loss G: 10.3666
Epoch [28/100] Batch 0/8 Loss D: 0.0645, Loss G: 14.5337
Epoch [29/100] Batch 0/8 Loss D: 0.0080, Loss G: 7.7280
Epoch [30/100] Batch 0/8 Loss D: 0.0213, Loss G: 10.4037
Epoch [31/100] Batch 0/8 Loss D: 0.0186, Loss G: 6.9223
Epoch [32/100] Batch 0/8 Loss D: 0.0266, Loss G: 11.4233
Epoch [33/100] Batch 0/8 Loss D: 0.0229, Loss G: 4.5451
Epoch [34/100] Batch 0/8 Loss D: 0.0716, Loss G: 7.2696
Epoch [35/100] Batch 0/8 Loss D: 0.0155, Loss G: 7.4541
Epoch [36/100] Batch 0/8 Loss D: 0.0115, Loss G: 9.3848
Epoch [37/100] Batch 0/8 Loss D: 0.0437, Loss G: 15.1607
Epoch [38/100] Batch 0/8 Loss D: 0.0043, Loss G: 9.8156
Epoch [39/100] Batch 0/8 Loss D: 0.0268, Loss G: 14.2255
Epoch [40/100] Batch 0/8 Loss D: 5.1490, Loss G: 20.5896
Epoch [41/100] Batch 0/8 Loss D: 0.0655, Loss G: 3.9219
Epoch [42/100] Batch 0/8 Loss D: 0.3169, Loss G: 7.9120
Epoch [43/100] Batch 0/8 Loss D: 4.7756, Loss G: 16.1700
Epoch [44/100] Batch 0/8 Loss D: 0.0641, Loss G: 4.2148
Epoch [45/100] Batch 0/8 Loss D: 0.0843, Loss G: 4.0149
Epoch [46/100] Batch 0/8 Loss D: 0.1879, Loss G: 5.0336
Epoch [47/100] Batch 0/8 Loss D: 0.0693, Loss G: 5.7781
Epoch [48/100] Batch 0/8 Loss D: 0.0408, Loss G: 6.6859
Epoch [49/100] Batch 0/8 Loss D: 0.0368, Loss G: 6.1345
Epoch [50/100] Batch 0/8 Loss D: 0.0501, Loss G: 5.5554
Epoch [51/100] Batch 0/8 Loss D: 0.0326, Loss G: 5.2807
Epoch [52/100] Batch 0/8 Loss D: 0.0263, Loss G: 5.4879
Epoch [53/100] Batch 0/8 Loss D: 0.0604, Loss G: 5.2396
Epoch [54/100] Batch 0/8 Loss D: 0.0472, Loss G: 5.5180
Epoch [55/100] Batch 0/8 Loss D: 0.0521, Loss G: 5.2000
Epoch [56/100] Batch 0/8 Loss D: 0.0414, Loss G: 4.9415
Epoch [57/100] Batch 0/8 Loss D: 0.0440, Loss G: 6.0768
Epoch [58/100] Batch 0/8 Loss D: 0.0535, Loss G: 5.2174
Epoch [59/100] Batch 0/8 Loss D: 0.0514, Loss G: 5.0805
Epoch [60/100] Batch 0/8 Loss D: 0.0920, Loss G: 4.6792
Epoch [61/100] Batch 0/8 Loss D: 0.0376, Loss G: 6.3097
Epoch [62/100] Batch 0/8 Loss D: 0.0202, Loss G: 4.4259
Epoch [63/100] Batch 0/8 Loss D: 0.6640, Loss G: 11.9015
Epoch [64/100] Batch 0/8 Loss D: 0.1363, Loss G: 7.5222
Epoch [65/100] Batch 0/8 Loss D: 0.1938, Loss G: 5.3538
Epoch [66/100] Batch 0/8 Loss D: 0.0893, Loss G: 5.3457
Epoch [67/100] Batch 0/8 Loss D: 0.0871, Loss G: 5.3762
Epoch [68/100] Batch 0/8 Loss D: 0.0781, Loss G: 5.7845
Epoch [69/100] Batch 0/8 Loss D: 0.3083, Loss G: 4.8431
Epoch [70/100] Batch 0/8 Loss D: 0.2222, Loss G: 4.7197
Epoch [71/100] Batch 0/8 Loss D: 0.1968, Loss G: 5.2152
Epoch [72/100] Batch 0/8 Loss D: 0.3584, Loss G: 5.3123
Epoch [73/100] Batch 0/8 Loss D: 0.5987, Loss G: 5.2024
Epoch [74/100] Batch 0/8 Loss D: 0.4735, Loss G: 5.5249
Epoch [75/100] Batch 0/8 Loss D: 0.3887, Loss G: 5.1572
Epoch [76/100] Batch 0/8 Loss D: 0.7329, Loss G: 1.2745
Epoch [77/100] Batch 0/8 Loss D: 0.7480, Loss G: 2.9582
Epoch [78/100] Batch 0/8 Loss D: 0.7273, Loss G: 4.5426
Epoch [79/100] Batch 0/8 Loss D: 0.4125, Loss G: 3.3121
Epoch [80/100] Batch 0/8 Loss D: 0.4749, Loss G: 4.0608
Epoch [81/100] Batch 0/8 Loss D: 0.9358, Loss G: 1.2661
Epoch [82/100] Batch 0/8 Loss D: 0.3515, Loss G: 3.0486
Epoch [83/100] Batch 0/8 Loss D: 0.5720, Loss G: 2.4748
Epoch [84/100] Batch 0/8 Loss D: 1.2986, Loss G: 3.6925
Epoch [85/100] Batch 0/8 Loss D: 1.0319, Loss G: 6.0997
Epoch [86/100] Batch 0/8 Loss D: 0.5110, Loss G: 4.3398
Epoch [87/100] Batch 0/8 Loss D: 0.6004, Loss G: 4.4431
Epoch [88/100] Batch 0/8 Loss D: 0.3277, Loss G: 4.9671
Epoch [89/100] Batch 0/8 Loss D: 0.3525, Loss G: 2.1527
Epoch [90/100] Batch 0/8 Loss D: 0.4691, Loss G: 2.2183
Epoch [91/100] Batch 0/8 Loss D: 0.4964, Loss G: 4.3678
Epoch [92/100] Batch 0/8 Loss D: 0.7542, Loss G: 2.4930
Epoch [93/100] Batch 0/8 Loss D: 0.3642, Loss G: 3.9046
Epoch [94/100] Batch 0/8 Loss D: 1.5658, Loss G: 1.6306
Epoch [95/100] Batch 0/8 Loss D: 1.2401, Loss G: 8.2990
Epoch [96/100] Batch 0/8 Loss D: 0.5593, Loss G: 4.4461
Epoch [97/100] Batch 0/8 Loss D: 0.1812, Loss G: 3.8346
Epoch [98/100] Batch 0/8 Loss D: 0.7128, Loss G: 3.7043
Epoch [99/100] Batch 0/8 Loss D: 0.2969, Loss G: 3.7558
Epoch [100/100] Batch 0/8 Loss D: 0.2866, Loss G: 3.3944
G: 500, <balancers.dgan.DGAN object at 0x150600bd6090>
./maritime-flags-dataset/imbalanced_flags/images/G
Epoch [1/100] Batch 0/8 Loss D: 1.4271, Loss G: 8.6844
Epoch [2/100] Batch 0/8 Loss D: 0.4140, Loss G: 17.9557
Epoch [3/100] Batch 0/8 Loss D: 0.3360, Loss G: 17.4567
Epoch [4/100] Batch 0/8 Loss D: 0.2491, Loss G: 19.2995
Epoch [5/100] Batch 0/8 Loss D: 0.1923, Loss G: 19.7266
Epoch [6/100] Batch 0/8 Loss D: 0.0098, Loss G: 19.1678
Epoch [7/100] Batch 0/8 Loss D: 4.6069, Loss G: 14.3968
Epoch [8/100] Batch 0/8 Loss D: 0.0373, Loss G: 6.7176
Epoch [9/100] Batch 0/8 Loss D: 0.0017, Loss G: 8.9684
Epoch [10/100] Batch 0/8 Loss D: 0.5202, Loss G: 18.8777
Epoch [11/100] Batch 0/8 Loss D: 3.0903, Loss G: 13.9248
Epoch [12/100] Batch 0/8 Loss D: 0.0073, Loss G: 12.8782
Epoch [13/100] Batch 0/8 Loss D: 0.1287, Loss G: 15.4858
Epoch [14/100] Batch 0/8 Loss D: 0.0299, Loss G: 10.3297
Epoch [15/100] Batch 0/8 Loss D: 1.4124, Loss G: 18.7770
Epoch [16/100] Batch 0/8 Loss D: 0.0115, Loss G: 7.3020
Epoch [17/100] Batch 0/8 Loss D: 0.5833, Loss G: 16.0316
Epoch [18/100] Batch 0/8 Loss D: 0.0057, Loss G: 7.7528
Epoch [19/100] Batch 0/8 Loss D: 0.0072, Loss G: 7.1432
Epoch [20/100] Batch 0/8 Loss D: 0.0115, Loss G: 12.8836
Epoch [21/100] Batch 0/8 Loss D: 0.0096, Loss G: 5.5947
Epoch [22/100] Batch 0/8 Loss D: 0.0225, Loss G: 11.8450
Epoch [23/100] Batch 0/8 Loss D: 0.0109, Loss G: 8.6066
Epoch [24/100] Batch 0/8 Loss D: 0.0076, Loss G: 7.0013
Epoch [25/100] Batch 0/8 Loss D: 0.0236, Loss G: 9.3397
Epoch [26/100] Batch 0/8 Loss D: 0.0108, Loss G: 6.1571
Epoch [27/100] Batch 0/8 Loss D: 0.0671, Loss G: 3.3354
Epoch [28/100] Batch 0/8 Loss D: 0.1447, Loss G: 6.3409
Epoch [29/100] Batch 0/8 Loss D: 0.0610, Loss G: 9.7555
Epoch [30/100] Batch 0/8 Loss D: 0.0729, Loss G: 4.4334
Epoch [31/100] Batch 0/8 Loss D: 0.0086, Loss G: 6.3095
Epoch [32/100] Batch 0/8 Loss D: 0.0172, Loss G: 13.7644
Epoch [33/100] Batch 0/8 Loss D: 0.0116, Loss G: 5.3138
Epoch [34/100] Batch 0/8 Loss D: 0.0282, Loss G: 11.0102
Epoch [35/100] Batch 0/8 Loss D: 0.0160, Loss G: 11.9537
Epoch [36/100] Batch 0/8 Loss D: 0.0509, Loss G: 4.0670
Epoch [37/100] Batch 0/8 Loss D: 0.0104, Loss G: 9.2765
Epoch [38/100] Batch 0/8 Loss D: 0.0149, Loss G: 4.7278
Epoch [39/100] Batch 0/8 Loss D: 0.0061, Loss G: 7.6942
Epoch [40/100] Batch 0/8 Loss D: 0.0170, Loss G: 8.8313
Epoch [41/100] Batch 0/8 Loss D: 0.2547, Loss G: 11.9767
Epoch [42/100] Batch 0/8 Loss D: 0.0055, Loss G: 10.8322
Epoch [43/100] Batch 0/8 Loss D: 0.0174, Loss G: 5.3913
Epoch [44/100] Batch 0/8 Loss D: 0.0518, Loss G: 8.8661
Epoch [45/100] Batch 0/8 Loss D: 0.0781, Loss G: 4.4138
Epoch [46/100] Batch 0/8 Loss D: 0.0133, Loss G: 9.7538
Epoch [47/100] Batch 0/8 Loss D: 0.1350, Loss G: 5.3698
Epoch [48/100] Batch 0/8 Loss D: 0.0974, Loss G: 4.3424
Epoch [49/100] Batch 0/8 Loss D: 0.1970, Loss G: 9.1463
Epoch [50/100] Batch 0/8 Loss D: 0.0239, Loss G: 8.1812
Epoch [51/100] Batch 0/8 Loss D: 0.0829, Loss G: 4.6735
Epoch [52/100] Batch 0/8 Loss D: 0.0509, Loss G: 5.1306
Epoch [53/100] Batch 0/8 Loss D: 0.7823, Loss G: 15.9904
Epoch [54/100] Batch 0/8 Loss D: 0.0669, Loss G: 4.5510
Epoch [55/100] Batch 0/8 Loss D: 0.0162, Loss G: 8.8412
Epoch [56/100] Batch 0/8 Loss D: 0.0200, Loss G: 9.8306
Epoch [57/100] Batch 0/8 Loss D: 0.2245, Loss G: 9.9458
Epoch [58/100] Batch 0/8 Loss D: 0.0350, Loss G: 8.9982
Epoch [59/100] Batch 0/8 Loss D: 0.0181, Loss G: 6.7495
Epoch [60/100] Batch 0/8 Loss D: 0.0169, Loss G: 5.3895
Epoch [61/100] Batch 0/8 Loss D: 0.1922, Loss G: 6.4874
Epoch [62/100] Batch 0/8 Loss D: 0.0614, Loss G: 4.5652
Epoch [63/100] Batch 0/8 Loss D: 0.1086, Loss G: 6.4904
Epoch [64/100] Batch 0/8 Loss D: 0.1083, Loss G: 5.2634
Epoch [65/100] Batch 0/8 Loss D: 0.3195, Loss G: 6.0493
Epoch [66/100] Batch 0/8 Loss D: 0.4018, Loss G: 7.9527
Epoch [67/100] Batch 0/8 Loss D: 0.6457, Loss G: 11.2555
Epoch [68/100] Batch 0/8 Loss D: 0.8665, Loss G: 8.4440
Epoch [69/100] Batch 0/8 Loss D: 0.1207, Loss G: 4.1618
Epoch [70/100] Batch 0/8 Loss D: 0.3436, Loss G: 9.2743
Epoch [71/100] Batch 0/8 Loss D: 0.3433, Loss G: 10.1103
Epoch [72/100] Batch 0/8 Loss D: 2.5010, Loss G: 10.8974
Epoch [73/100] Batch 0/8 Loss D: 1.3200, Loss G: 7.3577
Epoch [74/100] Batch 0/8 Loss D: 0.1355, Loss G: 4.9559
Epoch [75/100] Batch 0/8 Loss D: 0.0975, Loss G: 5.7111
Epoch [76/100] Batch 0/8 Loss D: 0.1631, Loss G: 6.0838
Epoch [77/100] Batch 0/8 Loss D: 0.1723, Loss G: 5.4535
Epoch [78/100] Batch 0/8 Loss D: 0.0616, Loss G: 5.5522
Epoch [79/100] Batch 0/8 Loss D: 0.9273, Loss G: 6.1380
Epoch [80/100] Batch 0/8 Loss D: 0.2845, Loss G: 4.8898
Epoch [81/100] Batch 0/8 Loss D: 0.2273, Loss G: 5.3269
Epoch [82/100] Batch 0/8 Loss D: 0.1431, Loss G: 4.0872
Epoch [83/100] Batch 0/8 Loss D: 0.3932, Loss G: 4.5786
Epoch [84/100] Batch 0/8 Loss D: 0.1484, Loss G: 3.9112
Epoch [85/100] Batch 0/8 Loss D: 0.1280, Loss G: 4.6072
Epoch [86/100] Batch 0/8 Loss D: 0.0375, Loss G: 2.9407
Epoch [87/100] Batch 0/8 Loss D: 0.0814, Loss G: 5.1828
Epoch [88/100] Batch 0/8 Loss D: 0.0484, Loss G: 5.5140
Epoch [89/100] Batch 0/8 Loss D: 0.0393, Loss G: 5.5298
Epoch [90/100] Batch 0/8 Loss D: 0.0304, Loss G: 6.9845
Epoch [91/100] Batch 0/8 Loss D: 0.6918, Loss G: 6.8472
Epoch [92/100] Batch 0/8 Loss D: 0.0338, Loss G: 6.3743
Epoch [93/100] Batch 0/8 Loss D: 0.1304, Loss G: 6.0352
Epoch [94/100] Batch 0/8 Loss D: 0.1281, Loss G: 6.2168
Epoch [95/100] Batch 0/8 Loss D: 0.0599, Loss G: 6.1865
Epoch [96/100] Batch 0/8 Loss D: 0.0631, Loss G: 5.4778
Epoch [97/100] Batch 0/8 Loss D: 0.0319, Loss G: 5.8741
Epoch [98/100] Batch 0/8 Loss D: 0.0318, Loss G: 4.3192
Epoch [99/100] Batch 0/8 Loss D: 0.0522, Loss G: 5.8471
Epoch [100/100] Batch 0/8 Loss D: 0.0223, Loss G: 5.4081
L: 500, <balancers.dgan.DGAN object at 0x150600bea9d0>
./maritime-flags-dataset/imbalanced_flags/images/L
Epoch [1/100] Batch 0/8 Loss D: 1.4949, Loss G: 7.3187
Epoch [2/100] Batch 0/8 Loss D: 0.1519, Loss G: 12.4051
Epoch [3/100] Batch 0/8 Loss D: 0.0069, Loss G: 6.0782
Epoch [4/100] Batch 0/8 Loss D: 7.6204, Loss G: 19.4028
Epoch [5/100] Batch 0/8 Loss D: 5.9472, Loss G: 19.6129