init

fog1/exp_args.py

@@ -0,0 +1,31 @@
+class Args:
+    synth_path = '/data/shared/luojun/fog_intermediate/leftImg8bit/train/'
+    source_path = '/data/shared/luojun/cityscapes/'
+    target_type = 'acdc_fog'
+    target_path = '/data/shared/luojun/ACDC'
+    experiment_name = '/data/shared/luojun/runs/fog1'
+    stop_epoch = 0
+    debug = False
+    load = None
+    resume = None
+    epochs = 100
+    seed = 42
+    sim_weight = 0.0
+    model = 'resnet-50'
+    ssl = 'sim'
+    optimizer = 'sgd'
+    momentum = 0.9
+    wd = 0.0001
+    schedular = 'poly'
+    batch_size = 4
+    lr_head = 0.001
+    lr = 0.001
+    target_size = (512, 1024)
+    crop = 'both_random'
+    crop_size = (384, 768)
+    blur = False
+    cutout = False
+    jitter = 0.5
+    scale = 0.0
+    xs = False
+    workers = 4

fog1/log.txt

@@ -0,0 +1,660 @@
+Model pushed to 1 GPU(s), type NVIDIA GeForce RTX 3090.
+--- Training ---
+Epoch 0 train loss: 1.5708, acc: 0.7830
+--- Validation - Source ---
+ * Acc 0.870
+--- Validation - Target ---
+ * Acc 0.852
+mIoU improved from 0.0000 to 0.2886.
+mIoU improved from 0.0000 to 0.3399.
+--- Training ---
+Epoch 1 train loss: 0.9868, acc: 0.8561
+--- Validation - Source ---
+ * Acc 0.890
+--- Validation - Target ---
+ * Acc 0.864
+mIoU improved from 0.2886 to 0.3601.
+mIoU improved from 0.3399 to 0.4410.
+--- Training ---
+Epoch 2 train loss: 0.8692, acc: 0.8711
+--- Validation - Source ---
+ * Acc 0.900
+--- Validation - Target ---
+ * Acc 0.865
+mIoU improved from 0.3601 to 0.4074.
+mIoU improved from 0.4410 to 0.4838.
+--- Training ---
+Epoch 3 train loss: 0.7982, acc: 0.8811
+--- Validation - Source ---
+ * Acc 0.902
+--- Validation - Target ---
+ * Acc 0.869
+mIoU improved from 0.4074 to 0.4544.
+mIoU improved from 0.4838 to 0.5102.
+--- Training ---
+Epoch 4 train loss: 0.7464, acc: 0.8883
+--- Validation - Source ---
+ * Acc 0.909
+--- Validation - Target ---
+ * Acc 0.879
+mIoU improved from 0.4544 to 0.4730.
+mIoU improved from 0.5102 to 0.5273.
+--- Training ---
+Epoch 5 train loss: 0.7089, acc: 0.8939
+--- Validation - Source ---
+ * Acc 0.912
+--- Validation - Target ---
+ * Acc 0.882
+mIoU improved from 0.4730 to 0.4851.
+mIoU improved from 0.5273 to 0.5399.
+--- Training ---
+Epoch 6 train loss: 0.6833, acc: 0.8976
+--- Validation - Source ---
+ * Acc 0.914
+--- Validation - Target ---
+ * Acc 0.889
+mIoU improved from 0.4851 to 0.4852.
+mIoU improved from 0.5399 to 0.5526.
+--- Training ---
+Epoch 7 train loss: 0.6545, acc: 0.9012
+--- Validation - Source ---
+ * Acc 0.913
+--- Validation - Target ---
+ * Acc 0.880
+--- Training ---
+Epoch 8 train loss: 0.6365, acc: 0.9038
+--- Validation - Source ---
+ * Acc 0.916
+--- Validation - Target ---
+ * Acc 0.892
+mIoU improved from 0.4852 to 0.5107.
+mIoU improved from 0.5526 to 0.5657.
+--- Training ---
+Epoch 9 train loss: 0.6244, acc: 0.9058
+--- Validation - Source ---
+ * Acc 0.919
+--- Validation - Target ---
+ * Acc 0.898
+mIoU improved from 0.5107 to 0.5302.
+mIoU improved from 0.5657 to 0.5698.
+--- Training ---
+Epoch 10 train loss: 0.6036, acc: 0.9091
+--- Validation - Source ---
+ * Acc 0.919
+--- Validation - Target ---
+ * Acc 0.891
+mIoU improved from 0.5698 to 0.5851.
+--- Training ---
+Epoch 11 train loss: 0.5942, acc: 0.9100
+--- Validation - Source ---
+ * Acc 0.920
+--- Validation - Target ---
+ * Acc 0.889
+--- Training ---
+Epoch 12 train loss: 0.5781, acc: 0.9125
+--- Validation - Source ---
+ * Acc 0.921
+--- Validation - Target ---
+ * Acc 0.890
+mIoU improved from 0.5851 to 0.5887.
+--- Training ---
+Epoch 13 train loss: 0.5680, acc: 0.9139
+--- Validation - Source ---
+ * Acc 0.921
+--- Validation - Target ---
+ * Acc 0.894
+mIoU improved from 0.5302 to 0.5353.
+--- Training ---
+Epoch 14 train loss: 0.5574, acc: 0.9153
+--- Validation - Source ---
+ * Acc 0.922
+--- Validation - Target ---
+ * Acc 0.858
+mIoU improved from 0.5887 to 0.5992.
+--- Training ---
+Epoch 15 train loss: 0.5503, acc: 0.9164
+--- Validation - Source ---
+ * Acc 0.923
+--- Validation - Target ---
+ * Acc 0.885
+mIoU improved from 0.5353 to 0.5409.
+--- Training ---
+Epoch 16 train loss: 0.5427, acc: 0.9175
+--- Validation - Source ---
+ * Acc 0.924
+--- Validation - Target ---
+ * Acc 0.878
+mIoU improved from 0.5409 to 0.5454.
+mIoU improved from 0.5992 to 0.5993.
+--- Training ---
+Epoch 17 train loss: 0.5378, acc: 0.9181
+--- Validation - Source ---
+ * Acc 0.924
+--- Validation - Target ---
+ * Acc 0.858
+mIoU improved from 0.5993 to 0.6048.
+--- Training ---
+Epoch 18 train loss: 0.5284, acc: 0.9193
+--- Validation - Source ---
+ * Acc 0.926
+--- Validation - Target ---
+ * Acc 0.879
+mIoU improved from 0.6048 to 0.6103.
+--- Training ---
+Epoch 19 train loss: 0.5205, acc: 0.9203
+--- Validation - Source ---
+ * Acc 0.926
+--- Validation - Target ---
+ * Acc 0.874
+mIoU improved from 0.5454 to 0.5563.
+mIoU improved from 0.6103 to 0.6138.
+--- Training ---
+Epoch 20 train loss: 0.5168, acc: 0.9208
+--- Validation - Source ---
+ * Acc 0.927
+--- Validation - Target ---
+ * Acc 0.885
+mIoU improved from 0.5563 to 0.5589.
+mIoU improved from 0.6138 to 0.6208.
+--- Training ---
+Epoch 21 train loss: 0.5097, acc: 0.9221
+--- Validation - Source ---
+ * Acc 0.928
+--- Validation - Target ---
+ * Acc 0.860
+mIoU improved from 0.6208 to 0.6209.
+--- Training ---
+Epoch 22 train loss: 0.5055, acc: 0.9224
+--- Validation - Source ---
+ * Acc 0.929
+--- Validation - Target ---
+ * Acc 0.812
+mIoU improved from 0.6209 to 0.6298.
+--- Training ---
+Epoch 23 train loss: 0.4983, acc: 0.9239
+--- Validation - Source ---
+ * Acc 0.929
+--- Validation - Target ---
+ * Acc 0.881
+mIoU improved from 0.5589 to 0.5753.
+--- Training ---
+Epoch 24 train loss: 0.4954, acc: 0.9242
+--- Validation - Source ---
+ * Acc 0.928
+--- Validation - Target ---
+ * Acc 0.865
+--- Training ---
+Epoch 25 train loss: 0.4944, acc: 0.9243
+--- Validation - Source ---
+ * Acc 0.929
+--- Validation - Target ---
+ * Acc 0.865
+--- Training ---
+Epoch 26 train loss: 0.4898, acc: 0.9250
+--- Validation - Source ---
+ * Acc 0.929
+--- Validation - Target ---
+ * Acc 0.864
+--- Training ---
+Epoch 27 train loss: 0.4835, acc: 0.9258
+--- Validation - Source ---
+ * Acc 0.929
+--- Validation - Target ---
+ * Acc 0.869
+mIoU improved from 0.6298 to 0.6322.
+--- Training ---
+Epoch 28 train loss: 0.4783, acc: 0.9266
+--- Validation - Source ---
+ * Acc 0.930
+--- Validation - Target ---
+ * Acc 0.867
+--- Training ---
+Epoch 29 train loss: 0.4776, acc: 0.9266
+--- Validation - Source ---
+ * Acc 0.929
+--- Validation - Target ---
+ * Acc 0.876
+mIoU improved from 0.6322 to 0.6346.
+--- Training ---
+Epoch 30 train loss: 0.4724, acc: 0.9273
+--- Validation - Source ---
+ * Acc 0.931
+--- Validation - Target ---
+ * Acc 0.887
+--- Training ---
+Epoch 31 train loss: 0.4698, acc: 0.9280
+--- Validation - Source ---
+ * Acc 0.931
+--- Validation - Target ---
+ * Acc 0.901
+mIoU improved from 0.5753 to 0.5825.
+mIoU improved from 0.6346 to 0.6368.
+--- Training ---
+Epoch 32 train loss: 0.4679, acc: 0.9278
+--- Validation - Source ---
+ * Acc 0.931
+--- Validation - Target ---
+ * Acc 0.862
+mIoU improved from 0.6368 to 0.6374.
+--- Training ---
+Epoch 33 train loss: 0.4623, acc: 0.9289
+--- Validation - Source ---
+ * Acc 0.932
+--- Validation - Target ---
+ * Acc 0.898
+mIoU improved from 0.5825 to 0.5900.
+mIoU improved from 0.6374 to 0.6430.
+--- Training ---
+Epoch 34 train loss: 0.4597, acc: 0.9293
+--- Validation - Source ---
+ * Acc 0.931
+--- Validation - Target ---
+ * Acc 0.877
+--- Training ---
+Epoch 35 train loss: 0.4592, acc: 0.9294
+--- Validation - Source ---
+ * Acc 0.931
+--- Validation - Target ---
+ * Acc 0.852
+--- Training ---
+Epoch 36 train loss: 0.4566, acc: 0.9299
+--- Validation - Source ---
+ * Acc 0.931
+--- Validation - Target ---
+ * Acc 0.865
+--- Training ---
+Epoch 37 train loss: 0.4571, acc: 0.9297
+--- Validation - Source ---
+ * Acc 0.932
+--- Validation - Target ---
+ * Acc 0.878
+--- Training ---
+Epoch 38 train loss: 0.4511, acc: 0.9303
+--- Validation - Source ---
+ * Acc 0.932
+--- Validation - Target ---
+ * Acc 0.866
+mIoU improved from 0.6430 to 0.6442.
+--- Training ---
+Epoch 39 train loss: 0.4520, acc: 0.9303
+--- Validation - Source ---
+ * Acc 0.934
+--- Validation - Target ---
+ * Acc 0.876
+mIoU improved from 0.6442 to 0.6499.
+--- Training ---
+Epoch 40 train loss: 0.4472, acc: 0.9312
+--- Validation - Source ---
+ * Acc 0.932
+--- Validation - Target ---
+ * Acc 0.879
+--- Training ---
+Epoch 41 train loss: 0.4435, acc: 0.9317
+--- Validation - Source ---
+ * Acc 0.934
+--- Validation - Target ---
+ * Acc 0.880
+--- Training ---
+Epoch 42 train loss: 0.4437, acc: 0.9317
+--- Validation - Source ---
+ * Acc 0.934
+--- Validation - Target ---
+ * Acc 0.884
+--- Training ---
+Epoch 43 train loss: 0.4384, acc: 0.9323
+--- Validation - Source ---
+ * Acc 0.934
+--- Validation - Target ---
+ * Acc 0.880
+--- Training ---
+Epoch 44 train loss: 0.4372, acc: 0.9325
+--- Validation - Source ---
+ * Acc 0.934
+--- Validation - Target ---
+ * Acc 0.880
+--- Training ---
+Epoch 45 train loss: 0.4353, acc: 0.9329
+--- Validation - Source ---
+ * Acc 0.935
+--- Validation - Target ---
+ * Acc 0.850
+mIoU improved from 0.6499 to 0.6534.
+--- Training ---
+Epoch 46 train loss: 0.4370, acc: 0.9325
+--- Validation - Source ---
+ * Acc 0.935
+--- Validation - Target ---
+ * Acc 0.879
+--- Training ---
+Epoch 47 train loss: 0.4343, acc: 0.9329
+--- Validation - Source ---
+ * Acc 0.935
+--- Validation - Target ---
+ * Acc 0.839
+--- Training ---
+Epoch 48 train loss: 0.4305, acc: 0.9330
+--- Validation - Source ---
+ * Acc 0.935
+--- Validation - Target ---
+ * Acc 0.870
+mIoU improved from 0.6534 to 0.6534.
+--- Training ---
+Epoch 49 train loss: 0.4287, acc: 0.9338
+--- Validation - Source ---
+ * Acc 0.935
+--- Validation - Target ---
+ * Acc 0.819
+--- Training ---
+Epoch 50 train loss: 0.4279, acc: 0.9336
+--- Validation - Source ---
+ * Acc 0.935
+--- Validation - Target ---
+ * Acc 0.815
+mIoU improved from 0.6534 to 0.6552.
+--- Training ---
+Epoch 51 train loss: 0.4248, acc: 0.9343
+--- Validation - Source ---
+ * Acc 0.935
+--- Validation - Target ---
+ * Acc 0.878
+mIoU improved from 0.6552 to 0.6596.
+--- Training ---
+Epoch 52 train loss: 0.4237, acc: 0.9345
+--- Validation - Source ---
+ * Acc 0.936
+--- Validation - Target ---
+ * Acc 0.861
+--- Training ---
+Epoch 53 train loss: 0.4242, acc: 0.9343
+--- Validation - Source ---
+ * Acc 0.936
+--- Validation - Target ---
+ * Acc 0.863
+--- Training ---
+Epoch 54 train loss: 0.4212, acc: 0.9347
+--- Validation - Source ---
+ * Acc 0.935
+--- Validation - Target ---
+ * Acc 0.882
+--- Training ---
+Epoch 55 train loss: 0.4206, acc: 0.9351
+--- Validation - Source ---
+ * Acc 0.936
+--- Validation - Target ---
+ * Acc 0.878
+mIoU improved from 0.5900 to 0.5958.
+--- Training ---
+Epoch 56 train loss: 0.4209, acc: 0.9348
+--- Validation - Source ---
+ * Acc 0.935
+--- Validation - Target ---
+ * Acc 0.850
+--- Training ---
+Epoch 57 train loss: 0.4190, acc: 0.9347
+--- Validation - Source ---
+ * Acc 0.936
+--- Validation - Target ---
+ * Acc 0.858
+--- Training ---
+Epoch 58 train loss: 0.4178, acc: 0.9351
+--- Validation - Source ---
+ * Acc 0.936
+--- Validation - Target ---
+ * Acc 0.852
+mIoU improved from 0.6596 to 0.6597.
+--- Training ---
+Epoch 59 train loss: 0.4141, acc: 0.9356
+--- Validation - Source ---
+ * Acc 0.937
+--- Validation - Target ---
+ * Acc 0.851
+--- Training ---
+Epoch 60 train loss: 0.4132, acc: 0.9360
+--- Validation - Source ---
+ * Acc 0.935
+--- Validation - Target ---
+ * Acc 0.882
+--- Training ---
+Epoch 61 train loss: 0.4144, acc: 0.9357
+--- Validation - Source ---
+ * Acc 0.936
+--- Validation - Target ---
+ * Acc 0.854
+--- Training ---
+Epoch 62 train loss: 0.4131, acc: 0.9361
+--- Validation - Source ---
+ * Acc 0.937
+--- Validation - Target ---
+ * Acc 0.874
+mIoU improved from 0.6597 to 0.6626.
+--- Training ---
+Epoch 63 train loss: 0.4110, acc: 0.9362
+--- Validation - Source ---
+ * Acc 0.937
+--- Validation - Target ---
+ * Acc 0.871
+mIoU improved from 0.5958 to 0.6036.
+--- Training ---
+Epoch 64 train loss: 0.4110, acc: 0.9360
+--- Validation - Source ---
+ * Acc 0.937
+--- Validation - Target ---
+ * Acc 0.872
+mIoU improved from 0.6626 to 0.6665.
+--- Training ---
+Epoch 65 train loss: 0.4096, acc: 0.9364
+--- Validation - Source ---
+ * Acc 0.936
+--- Validation - Target ---
+ * Acc 0.842
+--- Training ---
+Epoch 66 train loss: 0.4083, acc: 0.9367
+--- Validation - Source ---
+ * Acc 0.936
+--- Validation - Target ---
+ * Acc 0.867
+--- Training ---
+Epoch 67 train loss: 0.4072, acc: 0.9370
+--- Validation - Source ---
+ * Acc 0.936
+--- Validation - Target ---
+ * Acc 0.877
+--- Training ---
+Epoch 68 train loss: 0.4064, acc: 0.9371
+--- Validation - Source ---
+ * Acc 0.937
+--- Validation - Target ---
+ * Acc 0.872
+mIoU improved from 0.6665 to 0.6690.
+--- Training ---
+Epoch 69 train loss: 0.4063, acc: 0.9370
+--- Validation - Source ---
+ * Acc 0.937
+--- Validation - Target ---
+ * Acc 0.885
+mIoU improved from 0.6036 to 0.6045.
+--- Training ---
+Epoch 70 train loss: 0.4055, acc: 0.9370
+--- Validation - Source ---
+ * Acc 0.938
+--- Validation - Target ---
+ * Acc 0.882
+mIoU improved from 0.6045 to 0.6057.
+--- Training ---
+Epoch 71 train loss: 0.4049, acc: 0.9371
+--- Validation - Source ---
+ * Acc 0.937
+--- Validation - Target ---
+ * Acc 0.871
+--- Training ---
+Epoch 72 train loss: 0.4023, acc: 0.9375
+--- Validation - Source ---
+ * Acc 0.936
+--- Validation - Target ---
+ * Acc 0.846
+--- Training ---
+Epoch 73 train loss: 0.4031, acc: 0.9373
+--- Validation - Source ---
+ * Acc 0.937
+--- Validation - Target ---
+ * Acc 0.858
+--- Training ---
+Epoch 74 train loss: 0.4023, acc: 0.9374
+--- Validation - Source ---
+ * Acc 0.937
+--- Validation - Target ---
+ * Acc 0.876
+--- Training ---
+Epoch 75 train loss: 0.4016, acc: 0.9375
+--- Validation - Source ---
+ * Acc 0.937
+--- Validation - Target ---
+ * Acc 0.868
+--- Training ---
+Epoch 76 train loss: 0.4039, acc: 0.9373
+--- Validation - Source ---
+ * Acc 0.936
+--- Validation - Target ---
+ * Acc 0.852
+--- Training ---
+Epoch 77 train loss: 0.3973, acc: 0.9382
+--- Validation - Source ---
+ * Acc 0.937
+--- Validation - Target ---
+ * Acc 0.855
+--- Training ---
+Epoch 78 train loss: 0.4002, acc: 0.9376
+--- Validation - Source ---
+ * Acc 0.937
+--- Validation - Target ---
+ * Acc 0.841
+--- Training ---
+Epoch 79 train loss: 0.4006, acc: 0.9375
+--- Validation - Source ---
+ * Acc 0.938
+--- Validation - Target ---
+ * Acc 0.871
+--- Training ---
+Epoch 80 train loss: 0.3991, acc: 0.9378
+--- Validation - Source ---
+ * Acc 0.937
+--- Validation - Target ---
+ * Acc 0.896
+--- Training ---
+Epoch 81 train loss: 0.3955, acc: 0.9385
+--- Validation - Source ---
+ * Acc 0.937
+--- Validation - Target ---
+ * Acc 0.837
+--- Training ---
+Epoch 82 train loss: 0.3987, acc: 0.9382
+--- Validation - Source ---
+ * Acc 0.938
+--- Validation - Target ---
+ * Acc 0.854
+--- Training ---
+Epoch 83 train loss: 0.3972, acc: 0.9384
+--- Validation - Source ---
+ * Acc 0.938
+--- Validation - Target ---
+ * Acc 0.810
+mIoU improved from 0.6690 to 0.6713.
+--- Training ---
+Epoch 84 train loss: 0.3971, acc: 0.9381
+--- Validation - Source ---
+ * Acc 0.938
+--- Validation - Target ---
+ * Acc 0.857
+--- Training ---
+Epoch 85 train loss: 0.3963, acc: 0.9384
+--- Validation - Source ---
+ * Acc 0.937
+--- Validation - Target ---
+ * Acc 0.879
+--- Training ---
+Epoch 86 train loss: 0.3954, acc: 0.9384
+--- Validation - Source ---
+ * Acc 0.938
+--- Validation - Target ---
+ * Acc 0.886
+--- Training ---
+Epoch 87 train loss: 0.3933, acc: 0.9386
+--- Validation - Source ---
+ * Acc 0.938
+--- Validation - Target ---
+ * Acc 0.866
+--- Training ---
+Epoch 88 train loss: 0.3931, acc: 0.9388
+--- Validation - Source ---
+ * Acc 0.938
+--- Validation - Target ---
+ * Acc 0.850
+--- Training ---
+Epoch 89 train loss: 0.3951, acc: 0.9387
+--- Validation - Source ---
+ * Acc 0.937
+--- Validation - Target ---
+ * Acc 0.841
+--- Training ---
+Epoch 90 train loss: 0.3931, acc: 0.9386
+--- Validation - Source ---
+ * Acc 0.939
+--- Validation - Target ---
+ * Acc 0.841
+--- Training ---
+Epoch 91 train loss: 0.3930, acc: 0.9388
+--- Validation - Source ---
+ * Acc 0.938
+--- Validation - Target ---
+ * Acc 0.866
+--- Training ---
+Epoch 92 train loss: 0.3940, acc: 0.9385
+--- Validation - Source ---
+ * Acc 0.937
+--- Validation - Target ---
+ * Acc 0.854
+--- Training ---
+Epoch 93 train loss: 0.3948, acc: 0.9387
+--- Validation - Source ---
+ * Acc 0.938
+--- Validation - Target ---
+ * Acc 0.874
+--- Training ---
+Epoch 94 train loss: 0.3910, acc: 0.9390
+--- Validation - Source ---
+ * Acc 0.939
+--- Validation - Target ---
+ * Acc 0.867
+mIoU improved from 0.6713 to 0.6715.
+--- Training ---
+Epoch 95 train loss: 0.3928, acc: 0.9388
+--- Validation - Source ---
+ * Acc 0.938
+--- Validation - Target ---
+ * Acc 0.855
+--- Training ---
+Epoch 96 train loss: 0.3907, acc: 0.9393
+--- Validation - Source ---
+ * Acc 0.937
+--- Validation - Target ---
+ * Acc 0.871
+--- Training ---
+Epoch 97 train loss: 0.3943, acc: 0.9385
+--- Validation - Source ---
+ * Acc 0.938
+--- Validation - Target ---
+ * Acc 0.846
+--- Training ---
+Epoch 98 train loss: 0.3939, acc: 0.9385
+--- Validation - Source ---
+ * Acc 0.938
+--- Validation - Target ---
+ * Acc 0.864
+--- Training ---
+Epoch 99 train loss: 0.3908, acc: 0.9390
+--- Validation - Source ---
+ * Acc 0.938
+--- Validation - Target ---
+ * Acc 0.865
+Training complete in 659m 20s
+Best mIoU target: 0.605690

fog1/logs/best_class_iou.txt

@@ -0,0 +1,52 @@
+---------------------
+Epoch 94
+classes           IoU
+---------------------
+road          : 0.972
+sidewalk      : 0.791
+building      : 0.885
+wall          : 0.449
+fence         : 0.484
+pole          : 0.414
+traffic light : 0.441
+traffic sign  : 0.581
+vegetation    : 0.893
+terrain       : 0.561
+sky           : 0.925
+person        : 0.685
+rider         : 0.422
+car           : 0.909
+truck         : 0.731
+bus           : 0.796
+train         : 0.700
+motorcycle    : 0.478
+bicycle       : 0.643
+---------------------
+Score Average : 0.672
+---------------------
+---------------------
+Epoch 94
+classes           IoU
+---------------------
+road          : 0.929
+sidewalk      : 0.763
+building      : 0.700
+wall          : 0.420
+fence         : 0.350
+pole          : 0.283
+traffic light : 0.503
+traffic sign  : 0.481
+vegetation    : 0.782
+terrain       : 0.427
+sky           : 0.794
+person        : 0.486
+rider         : 0.570
+car           : 0.772
+truck         : 0.540
+bus           : 0.694
+train         : 0.608
+motorcycle    : 0.653
+bicycle       : 0.424
+---------------------
+Score Average : 0.588
+---------------------

fog1/logs/best_target_class_iou.txt

@@ -0,0 +1,52 @@
+---------------------
+Epoch 70
+classes           IoU
+---------------------
+road          : 0.972
+sidewalk      : 0.787
+building      : 0.882
+wall          : 0.406
+fence         : 0.482
+pole          : 0.421
+traffic light : 0.432
+traffic sign  : 0.573
+vegetation    : 0.892
+terrain       : 0.563
+sky           : 0.925
+person        : 0.681
+rider         : 0.425
+car           : 0.908
+truck         : 0.720
+bus           : 0.776
+train         : 0.657
+motorcycle    : 0.480
+bicycle       : 0.640
+---------------------
+Score Average : 0.664
+---------------------
+---------------------
+Epoch 70
+classes           IoU
+---------------------
+road          : 0.917
+sidewalk      : 0.753
+building      : 0.743
+wall          : 0.433
+fence         : 0.352
+pole          : 0.304
+traffic light : 0.506
+traffic sign  : 0.472
+vegetation    : 0.804
+terrain       : 0.382
+sky           : 0.845
+person        : 0.469
+rider         : 0.579
+car           : 0.787
+truck         : 0.533
+bus           : 0.780
+train         : 0.793
+motorcycle    : 0.611
+bicycle       : 0.446
+---------------------
+Score Average : 0.606
+---------------------

fog1/logs/class_iou.txt

@@ -0,0 +1,52 @@
+---------------------
+Epoch 99
+classes           IoU
+---------------------
+road          : 0.972
+sidewalk      : 0.788
+building      : 0.885
+wall          : 0.464
+fence         : 0.484
+pole          : 0.425
+traffic light : 0.445
+traffic sign  : 0.586
+vegetation    : 0.893
+terrain       : 0.560
+sky           : 0.925
+person        : 0.685
+rider         : 0.427
+car           : 0.909
+truck         : 0.714
+bus           : 0.773
+train         : 0.649
+motorcycle    : 0.499
+bicycle       : 0.649
+---------------------
+Score Average : 0.670
+---------------------
+---------------------
+Epoch 99
+classes           IoU
+---------------------
+road          : 0.909
+sidewalk      : 0.753
+building      : 0.731
+wall          : 0.422
+fence         : 0.334
+pole          : 0.316
+traffic light : 0.502
+traffic sign  : 0.453
+vegetation    : 0.770
+terrain       : 0.379
+sky           : 0.795
+person        : 0.480
+rider         : 0.589
+car           : 0.781
+truck         : 0.508
+bus           : 0.785
+train         : 0.677
+motorcycle    : 0.640
+bicycle       : 0.496
+---------------------
+Score Average : 0.596
+---------------------

fog1/logs/log_epoch.csv

@@ -0,0 +1,101 @@
+epoch, train loss, train source loss, train synth loss, train sim loss, val loss source, train acc, train acc synth, val acc source, test target acc, miou, miou target, learning rate, scale 
+0, 1.57081, 0.76520, 0.80561, 0.00000, 0.43447, 0.78301, 0.77152, 0.87044, 0.85164, 0.33995, 0.28862, 0.00100
+1, 0.98682, 0.47310, 0.51373, 0.00000, 0.35686, 0.85609, 0.84458, 0.89019, 0.86376, 0.44100, 0.36011, 0.00099
+2, 0.86924, 0.41446, 0.45478, 0.00000, 0.31700, 0.87114, 0.85976, 0.90009, 0.86514, 0.48378, 0.40741, 0.00098
+3, 0.79816, 0.37915, 0.41902, 0.00000, 0.31680, 0.88106, 0.86950, 0.90172, 0.86852, 0.51020, 0.45443, 0.00097
+4, 0.74635, 0.35348, 0.39288, 0.00000, 0.28324, 0.88834, 0.87658, 0.90935, 0.87924, 0.52732, 0.47296, 0.00096
+5, 0.70886, 0.33510, 0.37376, 0.00000, 0.27457, 0.89387, 0.88269, 0.91170, 0.88185, 0.53993, 0.48507, 0.00095
+6, 0.68332, 0.32217, 0.36116, 0.00000, 0.26796, 0.89761, 0.88625, 0.91374, 0.88925, 0.55260, 0.48524, 0.00095
+7, 0.65451, 0.30848, 0.34602, 0.00000, 0.27047, 0.90125, 0.89002, 0.91329, 0.87980, 0.54783, 0.47526, 0.00094
+8, 0.63653, 0.29962, 0.33691, 0.00000, 0.25889, 0.90383, 0.89296, 0.91558, 0.89192, 0.56571, 0.51070, 0.00093
+9, 0.62441, 0.29400, 0.33041, 0.00000, 0.25112, 0.90583, 0.89490, 0.91851, 0.89771, 0.56978, 0.53018, 0.00092
+10, 0.60358, 0.28289, 0.32068, 0.00000, 0.24742, 0.90910, 0.89789, 0.91899, 0.89055, 0.58513, 0.52735, 0.00091
+11, 0.59416, 0.27880, 0.31536, 0.00000, 0.24357, 0.90997, 0.89919, 0.92005, 0.88873, 0.58110, 0.52075, 0.00090
+12, 0.57811, 0.27102, 0.30709, 0.00000, 0.24347, 0.91249, 0.90145, 0.92073, 0.88990, 0.58874, 0.51953, 0.00089
+13, 0.56799, 0.26614, 0.30185, 0.00000, 0.24199, 0.91391, 0.90313, 0.92076, 0.89397, 0.58213, 0.53532, 0.00088
+14, 0.55743, 0.26206, 0.29537, 0.00000, 0.23566, 0.91528, 0.90510, 0.92242, 0.85800, 0.59920, 0.52846, 0.00087
+15, 0.55032, 0.25788, 0.29244, 0.00000, 0.23677, 0.91638, 0.90586, 0.92257, 0.88542, 0.59087, 0.54088, 0.00086
+16, 0.54275, 0.25404, 0.28871, 0.00000, 0.23057, 0.91754, 0.90701, 0.92399, 0.87760, 0.59927, 0.54535, 0.00085
+17, 0.53784, 0.25260, 0.28524, 0.00000, 0.23183, 0.91806, 0.90839, 0.92365, 0.85759, 0.60484, 0.53773, 0.00085
+18, 0.52840, 0.24729, 0.28111, 0.00000, 0.22479, 0.91930, 0.90913, 0.92588, 0.87924, 0.61030, 0.54459, 0.00084
+19, 0.52047, 0.24405, 0.27642, 0.00000, 0.22502, 0.92034, 0.91055, 0.92562, 0.87442, 0.61384, 0.55625, 0.00083
+20, 0.51685, 0.24237, 0.27447, 0.00000, 0.21908, 0.92083, 0.91123, 0.92742, 0.88468, 0.62075, 0.55886, 0.00082
+21, 0.50972, 0.23874, 0.27098, 0.00000, 0.21879, 0.92214, 0.91222, 0.92759, 0.85971, 0.62091, 0.55122, 0.00081
+22, 0.50547, 0.23627, 0.26920, 0.00000, 0.21583, 0.92245, 0.91256, 0.92866, 0.81247, 0.62984, 0.53822, 0.00080
+23, 0.49826, 0.23314, 0.26513, 0.00000, 0.21420, 0.92389, 0.91422, 0.92877, 0.88132, 0.62743, 0.57528, 0.00079
+24, 0.49537, 0.23187, 0.26351, 0.00000, 0.21857, 0.92421, 0.91444, 0.92753, 0.86545, 0.62238, 0.55666, 0.00078
+25, 0.49441, 0.23114, 0.26327, 0.00000, 0.21470, 0.92429, 0.91457, 0.92920, 0.86470, 0.62822, 0.55113, 0.00077
+26, 0.48975, 0.22904, 0.26071, 0.00000, 0.21407, 0.92500, 0.91540, 0.92936, 0.86428, 0.62677, 0.54297, 0.00076
+27, 0.48348, 0.22590, 0.25758, 0.00000, 0.21264, 0.92581, 0.91611, 0.92947, 0.86930, 0.63216, 0.55862, 0.00075
+28, 0.47828, 0.22348, 0.25480, 0.00000, 0.21250, 0.92662, 0.91703, 0.92967, 0.86662, 0.62891, 0.54995, 0.00074
+29, 0.47763, 0.22333, 0.25430, 0.00000, 0.21292, 0.92658, 0.91707, 0.92930, 0.87616, 0.63465, 0.55819, 0.00073
+30, 0.47237, 0.22077, 0.25160, 0.00000, 0.20629, 0.92734, 0.91796, 0.93127, 0.88678, 0.63341, 0.57375, 0.00073
+31, 0.46981, 0.21888, 0.25093, 0.00000, 0.20922, 0.92797, 0.91836, 0.93068, 0.90057, 0.63680, 0.58249, 0.00072
+32, 0.46794, 0.21926, 0.24868, 0.00000, 0.20764, 0.92783, 0.91874, 0.93132, 0.86151, 0.63737, 0.56400, 0.00071
+33, 0.46227, 0.21569, 0.24658, 0.00000, 0.20515, 0.92893, 0.91968, 0.93170, 0.89832, 0.64300, 0.59004, 0.00070
+34, 0.45971, 0.21494, 0.24477, 0.00000, 0.20756, 0.92931, 0.92039, 0.93112, 0.87741, 0.63592, 0.56097, 0.00069
+35, 0.45924, 0.21386, 0.24538, 0.00000, 0.20646, 0.92941, 0.92019, 0.93148, 0.85210, 0.63809, 0.56056, 0.00068
+36, 0.45661, 0.21293, 0.24368, 0.00000, 0.20727, 0.92987, 0.92042, 0.93117, 0.86511, 0.63650, 0.55132, 0.00067
+37, 0.45709, 0.21374, 0.24336, 0.00000, 0.20385, 0.92973, 0.92054, 0.93246, 0.87773, 0.64156, 0.56738, 0.00066
+38, 0.45113, 0.21068, 0.24045, 0.00000, 0.20330, 0.93028, 0.92138, 0.93223, 0.86605, 0.64424, 0.56824, 0.00065
+39, 0.45204, 0.21099, 0.24104, 0.00000, 0.19956, 0.93029, 0.92102, 0.93369, 0.87646, 0.64989, 0.57565, 0.00064
+40, 0.44719, 0.20850, 0.23869, 0.00000, 0.20334, 0.93118, 0.92175, 0.93228, 0.87854, 0.64830, 0.58435, 0.00063
+41, 0.44350, 0.20646, 0.23705, 0.00000, 0.20054, 0.93165, 0.92230, 0.93388, 0.88007, 0.64673, 0.56933, 0.00062
+42, 0.44370, 0.20673, 0.23698, 0.00000, 0.19723, 0.93167, 0.92232, 0.93435, 0.88410, 0.64959, 0.58732, 0.00061
+43, 0.43841, 0.20469, 0.23372, 0.00000, 0.19701, 0.93225, 0.92345, 0.93432, 0.88037, 0.64747, 0.58647, 0.00060
+44, 0.43725, 0.20365, 0.23359, 0.00000, 0.19843, 0.93249, 0.92335, 0.93393, 0.88026, 0.64965, 0.57035, 0.00059
+45, 0.43527, 0.20272, 0.23255, 0.00000, 0.19608, 0.93292, 0.92385, 0.93481, 0.84969, 0.65335, 0.57132, 0.00058
+46, 0.43698, 0.20392, 0.23306, 0.00000, 0.19663, 0.93248, 0.92354, 0.93455, 0.87862, 0.65301, 0.57554, 0.00057
+47, 0.43430, 0.20236, 0.23194, 0.00000, 0.19650, 0.93285, 0.92384, 0.93479, 0.83932, 0.65269, 0.55875, 0.00056
+48, 0.43050, 0.20132, 0.22917, 0.00000, 0.19493, 0.93303, 0.92477, 0.93495, 0.86985, 0.65339, 0.58316, 0.00056
+49, 0.42867, 0.19955, 0.22912, 0.00000, 0.19629, 0.93381, 0.92480, 0.93480, 0.81871, 0.65326, 0.54302, 0.00055
+50, 0.42789, 0.20009, 0.22779, 0.00000, 0.19627, 0.93356, 0.92526, 0.93485, 0.81460, 0.65520, 0.53478, 0.00054
+51, 0.42476, 0.19799, 0.22677, 0.00000, 0.19373, 0.93434, 0.92569, 0.93544, 0.87804, 0.65964, 0.58559, 0.00053
+52, 0.42369, 0.19758, 0.22610, 0.00000, 0.19423, 0.93455, 0.92561, 0.93568, 0.86141, 0.65773, 0.56902, 0.00052
+53, 0.42421, 0.19807, 0.22614, 0.00000, 0.19420, 0.93427, 0.92565, 0.93551, 0.86337, 0.65344, 0.57982, 0.00051
+54, 0.42119, 0.19639, 0.22480, 0.00000, 0.19423, 0.93474, 0.92614, 0.93520, 0.88153, 0.65312, 0.58173, 0.00050
+55, 0.42058, 0.19567, 0.22490, 0.00000, 0.19317, 0.93505, 0.92604, 0.93603, 0.87843, 0.65428, 0.59582, 0.00049
+56, 0.42086, 0.19629, 0.22457, 0.00000, 0.19398, 0.93476, 0.92605, 0.93531, 0.85001, 0.65367, 0.57542, 0.00048
+57, 0.41896, 0.19599, 0.22296, 0.00000, 0.19542, 0.93474, 0.92657, 0.93578, 0.85824, 0.65503, 0.56625, 0.00047
+58, 0.41779, 0.19501, 0.22278, 0.00000, 0.19136, 0.93513, 0.92661, 0.93605, 0.85218, 0.65967, 0.56544, 0.00046
+59, 0.41411, 0.19338, 0.22073, 0.00000, 0.19058, 0.93556, 0.92718, 0.93655, 0.85071, 0.65850, 0.56667, 0.00045
+60, 0.41319, 0.19266, 0.22053, 0.00000, 0.19481, 0.93603, 0.92728, 0.93517, 0.88204, 0.65850, 0.59013, 0.00044
+61, 0.41441, 0.19309, 0.22132, 0.00000, 0.19268, 0.93573, 0.92713, 0.93634, 0.85445, 0.65504, 0.57515, 0.00043
+62, 0.41306, 0.19240, 0.22065, 0.00000, 0.18932, 0.93609, 0.92734, 0.93719, 0.87420, 0.66264, 0.59029, 0.00042
+63, 0.41098, 0.19145, 0.21953, 0.00000, 0.19024, 0.93621, 0.92763, 0.93665, 0.87086, 0.66018, 0.60357, 0.00041
+64, 0.41101, 0.19218, 0.21884, 0.00000, 0.18925, 0.93605, 0.92785, 0.93722, 0.87162, 0.66649, 0.59520, 0.00040
+65, 0.40957, 0.19100, 0.21857, 0.00000, 0.19440, 0.93637, 0.92781, 0.93550, 0.84212, 0.65483, 0.55688, 0.00039
+66, 0.40831, 0.19045, 0.21786, 0.00000, 0.19063, 0.93666, 0.92805, 0.93631, 0.86683, 0.66198, 0.59066, 0.00038
+67, 0.40722, 0.18964, 0.21758, 0.00000, 0.19397, 0.93695, 0.92826, 0.93552, 0.87700, 0.65796, 0.56774, 0.00037
+68, 0.40637, 0.18916, 0.21720, 0.00000, 0.18796, 0.93712, 0.92850, 0.93743, 0.87244, 0.66902, 0.58153, 0.00036
+69, 0.40630, 0.18944, 0.21686, 0.00000, 0.18794, 0.93703, 0.92856, 0.93731, 0.88521, 0.66771, 0.60445, 0.00035
+70, 0.40550, 0.18922, 0.21627, 0.00000, 0.18742, 0.93696, 0.92870, 0.93771, 0.88209, 0.66434, 0.60569, 0.00034
+71, 0.40487, 0.18868, 0.21620, 0.00000, 0.18976, 0.93706, 0.92858, 0.93676, 0.87113, 0.66082, 0.58660, 0.00033
+72, 0.40227, 0.18740, 0.21486, 0.00000, 0.19129, 0.93754, 0.92901, 0.93614, 0.84626, 0.66083, 0.57427, 0.00032
+73, 0.40307, 0.18798, 0.21509, 0.00000, 0.18969, 0.93732, 0.92893, 0.93677, 0.85757, 0.66106, 0.59342, 0.00031
+74, 0.40225, 0.18776, 0.21449, 0.00000, 0.18845, 0.93737, 0.92922, 0.93720, 0.87591, 0.66129, 0.59735, 0.00030
+75, 0.40160, 0.18753, 0.21407, 0.00000, 0.18816, 0.93745, 0.92942, 0.93746, 0.86804, 0.66450, 0.59170, 0.00029
+76, 0.40391, 0.18833, 0.21558, 0.00000, 0.19089, 0.93726, 0.92880, 0.93619, 0.85240, 0.66038, 0.56960, 0.00028
+77, 0.39729, 0.18542, 0.21187, 0.00000, 0.18913, 0.93816, 0.92992, 0.93689, 0.85529, 0.66337, 0.56523, 0.00027
+78, 0.40017, 0.18665, 0.21352, 0.00000, 0.18998, 0.93764, 0.92935, 0.93698, 0.84125, 0.66174, 0.56809, 0.00026
+79, 0.40055, 0.18721, 0.21335, 0.00000, 0.18670, 0.93751, 0.92946, 0.93754, 0.87127, 0.66855, 0.59614, 0.00025
+80, 0.39911, 0.18670, 0.21241, 0.00000, 0.18685, 0.93782, 0.92986, 0.93747, 0.89623, 0.66459, 0.59809, 0.00023
+81, 0.39546, 0.18392, 0.21154, 0.00000, 0.18942, 0.93848, 0.93007, 0.93719, 0.83692, 0.66321, 0.56267, 0.00022
+82, 0.39873, 0.18598, 0.21275, 0.00000, 0.18617, 0.93816, 0.92991, 0.93806, 0.85449, 0.66848, 0.58528, 0.00021
+83, 0.39720, 0.18474, 0.21246, 0.00000, 0.18586, 0.93836, 0.92971, 0.93828, 0.80973, 0.67127, 0.56841, 0.00020
+84, 0.39708, 0.18550, 0.21158, 0.00000, 0.18688, 0.93812, 0.93004, 0.93800, 0.85718, 0.66284, 0.58662, 0.00019
+85, 0.39628, 0.18496, 0.21132, 0.00000, 0.18940, 0.93841, 0.93024, 0.93737, 0.87861, 0.66173, 0.58302, 0.00018
+86, 0.39544, 0.18415, 0.21129, 0.00000, 0.18714, 0.93839, 0.93003, 0.93779, 0.88636, 0.66477, 0.59475, 0.00017
+87, 0.39332, 0.18380, 0.20952, 0.00000, 0.18569, 0.93860, 0.93068, 0.93840, 0.86643, 0.66794, 0.58798, 0.00016
+88, 0.39308, 0.18323, 0.20985, 0.00000, 0.18711, 0.93877, 0.93049, 0.93778, 0.84998, 0.66869, 0.57309, 0.00015
+89, 0.39511, 0.18387, 0.21125, 0.00000, 0.18824, 0.93874, 0.93029, 0.93730, 0.84115, 0.66511, 0.57431, 0.00014
+90, 0.39306, 0.18381, 0.20925, 0.00000, 0.18584, 0.93861, 0.93064, 0.93858, 0.84106, 0.67074, 0.58712, 0.00013
+91, 0.39304, 0.18326, 0.20978, 0.00000, 0.18708, 0.93882, 0.93061, 0.93765, 0.86647, 0.66825, 0.59050, 0.00011
+92, 0.39402, 0.18366, 0.21035, 0.00000, 0.18853, 0.93855, 0.93032, 0.93739, 0.85421, 0.66098, 0.57073, 0.00010
+93, 0.39477, 0.18378, 0.21098, 0.00000, 0.18619, 0.93867, 0.93025, 0.93801, 0.87426, 0.67032, 0.59115, 0.00009
+94, 0.39100, 0.18217, 0.20883, 0.00000, 0.18392, 0.93903, 0.93090, 0.93891, 0.86660, 0.67153, 0.58828, 0.00008
+95, 0.39282, 0.18308, 0.20974, 0.00000, 0.18519, 0.93875, 0.93063, 0.93841, 0.85476, 0.67010, 0.58006, 0.00007
+96, 0.39068, 0.18128, 0.20940, 0.00000, 0.18745, 0.93933, 0.93087, 0.93736, 0.87076, 0.66638, 0.58882, 0.00006
+97, 0.39432, 0.18407, 0.21024, 0.00000, 0.18672, 0.93849, 0.93052, 0.93762, 0.84610, 0.66227, 0.57317, 0.00004
+98, 0.39387, 0.18383, 0.21004, 0.00000, 0.18585, 0.93847, 0.93032, 0.93796, 0.86410, 0.66829, 0.59327, 0.00003
+99, 0.39080, 0.18241, 0.20839, 0.00000, 0.18510, 0.93904, 0.93105, 0.93846, 0.86463, 0.67011, 0.59564, 0.00002

fog1/weights/best_weights.pth.tar

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ca0d8b34fe18b566e5d54bf6fc04deda8007dff0bbb4a104a7467395999ac97c
+size 159407526

fog1/weights/best_weights_target.pth.tar

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f7ad8016fc5edb7e9991940c60d873c95d1518c3f3e0a3c34ccf8bcb2da3574e
+size 159410194

fog1/weights/checkpoint.pth.tar

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6aa11576cf9283786ab841668fb7cf40514d82b921f3e6cf28bd8721037ce6a2
+size 318638251

fog2/exp_args.py

@@ -0,0 +1,31 @@
+class Args:
+    synth_path = '/data/shared/luojun/fog_intermediate/leftImg8bit/train/'
+    source_path = '/data/shared/luojun/fog_target'
+    target_type = 'acdc_fog'
+    target_path = '/data/shared/luojun/ACDC'
+    experiment_name = '/data/shared/luojun/runs/fog2'
+    stop_epoch = 65
+    debug = False
+    load = '/data/shared/luojun/runs/fog1/weights/checkpoint.pth.tar'
+    resume = None
+    epochs = 100
+    seed = 42
+    sim_weight = 0.0
+    model = 'resnet-50'
+    ssl = 'sim'
+    optimizer = 'sgd'
+    momentum = 0.9
+    wd = 0.0001
+    schedular = 'poly'
+    batch_size = 4
+    lr_head = 0.001
+    lr = 0.001
+    target_size = (512, 1024)
+    crop = 'both_random'
+    crop_size = (384, 768)
+    blur = False
+    cutout = False
+    jitter = 0.5
+    scale = 0.0
+    xs = False
+    workers = 4

fog2/log.txt

@@ -0,0 +1,619 @@
+Model pushed to 1 GPU(s), type NVIDIA GeForce RTX 3090.
+Loaded pretrained model from /data/shared/luojun/runs/fog1/weights/checkpoint.pth.tar
+--- Training ---
+Epoch 0 train loss: 0.4786, acc: 0.9139
+--- Validation - Source ---
+ * Acc 0.938
+--- Validation - Target ---
+ * Acc 0.895
+mIoU improved from 0.0000 to 0.5927.
+mIoU improved from 0.0000 to 0.6691.
+--- Training ---
+Epoch 1 train loss: 0.4760, acc: 0.9147
+--- Validation - Source ---
+ * Acc 0.937
+--- Validation - Target ---
+ * Acc 0.874
+--- Training ---
+Epoch 2 train loss: 0.4691, acc: 0.9160
+--- Validation - Source ---
+ * Acc 0.934
+--- Validation - Target ---
+ * Acc 0.862
+--- Training ---
+Epoch 3 train loss: 0.4635, acc: 0.9171
+--- Validation - Source ---
+ * Acc 0.937
+--- Validation - Target ---
+ * Acc 0.858
+--- Training ---
+Epoch 4 train loss: 0.4582, acc: 0.9180
+--- Validation - Source ---
+ * Acc 0.937
+--- Validation - Target ---
+ * Acc 0.891
+mIoU improved from 0.5927 to 0.6145.
+--- Training ---
+Epoch 5 train loss: 0.4572, acc: 0.9185
+--- Validation - Source ---
+ * Acc 0.938
+--- Validation - Target ---
+ * Acc 0.879
+--- Training ---
+Epoch 6 train loss: 0.4530, acc: 0.9191
+--- Validation - Source ---
+ * Acc 0.937
+--- Validation - Target ---
+ * Acc 0.833
+--- Training ---
+Epoch 7 train loss: 0.4528, acc: 0.9193
+--- Validation - Source ---
+ * Acc 0.937
+--- Validation - Target ---
+ * Acc 0.861
+--- Training ---
+Epoch 8 train loss: 0.4497, acc: 0.9192
+--- Validation - Source ---
+ * Acc 0.936
+--- Validation - Target ---
+ * Acc 0.892
+--- Training ---
+Epoch 9 train loss: 0.4507, acc: 0.9196
+--- Validation - Source ---
+ * Acc 0.938
+--- Validation - Target ---
+ * Acc 0.882
+--- Training ---
+Epoch 10 train loss: 0.4455, acc: 0.9204
+--- Validation - Source ---
+ * Acc 0.937
+--- Validation - Target ---
+ * Acc 0.862
+mIoU improved from 0.6691 to 0.6714.
+--- Training ---
+Epoch 11 train loss: 0.4461, acc: 0.9201
+--- Validation - Source ---
+ * Acc 0.938
+--- Validation - Target ---
+ * Acc 0.871
+--- Training ---
+Epoch 12 train loss: 0.4407, acc: 0.9217
+--- Validation - Source ---
+ * Acc 0.937
+--- Validation - Target ---
+ * Acc 0.866
+--- Training ---
+Epoch 13 train loss: 0.4387, acc: 0.9220
+--- Validation - Source ---
+ * Acc 0.938
+--- Validation - Target ---
+ * Acc 0.869
+--- Training ---
+Epoch 14 train loss: 0.4366, acc: 0.9222
+--- Validation - Source ---
+ * Acc 0.938
+--- Validation - Target ---
+ * Acc 0.841
+mIoU improved from 0.6714 to 0.6719.
+--- Training ---
+Epoch 15 train loss: 0.4340, acc: 0.9224
+--- Validation - Source ---
+ * Acc 0.938
+--- Validation - Target ---
+ * Acc 0.878
+--- Training ---
+Epoch 16 train loss: 0.4347, acc: 0.9226
+--- Validation - Source ---
+ * Acc 0.938
+--- Validation - Target ---
+ * Acc 0.849
+--- Training ---
+Epoch 17 train loss: 0.4340, acc: 0.9224
+--- Validation - Source ---
+ * Acc 0.938
+--- Validation - Target ---
+ * Acc 0.841
+--- Training ---
+Epoch 18 train loss: 0.4317, acc: 0.9229
+--- Validation - Source ---
+ * Acc 0.939
+--- Validation - Target ---
+ * Acc 0.878
+--- Training ---
+Epoch 19 train loss: 0.4283, acc: 0.9235
+--- Validation - Source ---
+ * Acc 0.938
+--- Validation - Target ---
+ * Acc 0.869
+--- Training ---
+Epoch 20 train loss: 0.4271, acc: 0.9239
+--- Validation - Source ---
+ * Acc 0.939
+--- Validation - Target ---
+ * Acc 0.865
+mIoU improved from 0.6719 to 0.6721.
+--- Training ---
+Epoch 21 train loss: 0.4244, acc: 0.9242
+--- Validation - Source ---
+ * Acc 0.939
+--- Validation - Target ---
+ * Acc 0.860
+--- Training ---
+Epoch 22 train loss: 0.4234, acc: 0.9244
+--- Validation - Source ---
+ * Acc 0.939
+--- Validation - Target ---
+ * Acc 0.831
+mIoU improved from 0.6721 to 0.6749.
+--- Training ---
+Epoch 23 train loss: 0.4234, acc: 0.9245
+--- Validation - Source ---
+ * Acc 0.939
+--- Validation - Target ---
+ * Acc 0.874
+mIoU improved from 0.6749 to 0.6756.
+--- Training ---
+Epoch 24 train loss: 0.4215, acc: 0.9246
+--- Validation - Source ---
+ * Acc 0.939
+--- Validation - Target ---
+ * Acc 0.869
+--- Training ---
+Epoch 25 train loss: 0.4219, acc: 0.9245
+--- Validation - Source ---
+ * Acc 0.939
+--- Validation - Target ---
+ * Acc 0.850
+--- Training ---
+Epoch 26 train loss: 0.4211, acc: 0.9251
+--- Validation - Source ---
+ * Acc 0.938
+--- Validation - Target ---
+ * Acc 0.870
+--- Training ---
+Epoch 27 train loss: 0.4190, acc: 0.9251
+--- Validation - Source ---
+ * Acc 0.938
+--- Validation - Target ---
+ * Acc 0.877
+--- Training ---
+Epoch 28 train loss: 0.4166, acc: 0.9256
+--- Validation - Source ---
+ * Acc 0.939
+--- Validation - Target ---
+ * Acc 0.866
+--- Training ---
+Epoch 29 train loss: 0.4156, acc: 0.9258
+--- Validation - Source ---
+ * Acc 0.939
+--- Validation - Target ---
+ * Acc 0.872
+--- Training ---
+Epoch 30 train loss: 0.4153, acc: 0.9258
+--- Validation - Source ---
+ * Acc 0.939
+--- Validation - Target ---
+ * Acc 0.880
+--- Training ---
+Epoch 31 train loss: 0.4122, acc: 0.9264
+--- Validation - Source ---
+ * Acc 0.939
+--- Validation - Target ---
+ * Acc 0.903
+mIoU improved from 0.6756 to 0.6759.
+--- Training ---
+Epoch 32 train loss: 0.4147, acc: 0.9258
+--- Validation - Source ---
+ * Acc 0.939
+--- Validation - Target ---
+ * Acc 0.864
+--- Training ---
+Epoch 33 train loss: 0.4116, acc: 0.9265
+--- Validation - Source ---
+ * Acc 0.939
+--- Validation - Target ---
+ * Acc 0.885
+mIoU improved from 0.6759 to 0.6778.
+--- Training ---
+Epoch 34 train loss: 0.4088, acc: 0.9271
+--- Validation - Source ---
+ * Acc 0.939
+--- Validation - Target ---
+ * Acc 0.863
+--- Training ---
+Epoch 35 train loss: 0.4105, acc: 0.9269
+--- Validation - Source ---
+ * Acc 0.940
+--- Validation - Target ---
+ * Acc 0.856
+--- Training ---
+Epoch 36 train loss: 0.4092, acc: 0.9268
+--- Validation - Source ---
+ * Acc 0.940
+--- Validation - Target ---
+ * Acc 0.859
+--- Training ---
+Epoch 37 train loss: 0.4102, acc: 0.9267
+--- Validation - Source ---
+ * Acc 0.939
+--- Validation - Target ---
+ * Acc 0.870
+--- Training ---
+Epoch 38 train loss: 0.4080, acc: 0.9270
+--- Validation - Source ---
+ * Acc 0.939
+--- Validation - Target ---
+ * Acc 0.861
+--- Training ---
+Epoch 39 train loss: 0.4074, acc: 0.9269
+--- Validation - Source ---
+ * Acc 0.940
+--- Validation - Target ---
+ * Acc 0.872
+--- Training ---
+Epoch 40 train loss: 0.4050, acc: 0.9277
+--- Validation - Source ---
+ * Acc 0.940
+--- Validation - Target ---
+ * Acc 0.871
+--- Training ---
+Epoch 41 train loss: 0.4039, acc: 0.9279
+--- Validation - Source ---
+ * Acc 0.940
+--- Validation - Target ---
+ * Acc 0.854
+--- Training ---
+Epoch 42 train loss: 0.4051, acc: 0.9276
+--- Validation - Source ---
+ * Acc 0.940
+--- Validation - Target ---
+ * Acc 0.872
+--- Training ---
+Epoch 43 train loss: 0.4016, acc: 0.9284
+--- Validation - Source ---
+ * Acc 0.940
+--- Validation - Target ---
+ * Acc 0.860
+--- Training ---
+Epoch 44 train loss: 0.4005, acc: 0.9285
+--- Validation - Source ---
+ * Acc 0.940
+--- Validation - Target ---
+ * Acc 0.858
+--- Training ---
+Epoch 45 train loss: 0.3998, acc: 0.9287
+--- Validation - Source ---
+ * Acc 0.941
+--- Validation - Target ---
+ * Acc 0.866
+mIoU improved from 0.6778 to 0.6778.
+--- Training ---
+Epoch 46 train loss: 0.4018, acc: 0.9284
+--- Validation - Source ---
+ * Acc 0.940
+--- Validation - Target ---
+ * Acc 0.859
+--- Training ---
+Epoch 47 train loss: 0.3982, acc: 0.9289
+--- Validation - Source ---
+ * Acc 0.940
+--- Validation - Target ---
+ * Acc 0.837
+--- Training ---
+Epoch 48 train loss: 0.3975, acc: 0.9289
+--- Validation - Source ---
+ * Acc 0.941
+--- Validation - Target ---
+ * Acc 0.860
+--- Training ---
+Epoch 49 train loss: 0.3959, acc: 0.9293
+--- Validation - Source ---
+ * Acc 0.940
+--- Validation - Target ---
+ * Acc 0.865
+--- Training ---
+Epoch 50 train loss: 0.3966, acc: 0.9291
+--- Validation - Source ---
+ * Acc 0.941
+--- Validation - Target ---
+ * Acc 0.857
+--- Training ---
+Epoch 51 train loss: 0.3951, acc: 0.9295
+--- Validation - Source ---
+ * Acc 0.940
+--- Validation - Target ---
+ * Acc 0.866
+--- Training ---
+Epoch 52 train loss: 0.3950, acc: 0.9295
+--- Validation - Source ---
+ * Acc 0.940
+--- Validation - Target ---
+ * Acc 0.858
+--- Training ---
+Epoch 53 train loss: 0.3948, acc: 0.9294
+--- Validation - Source ---
+ * Acc 0.940
+--- Validation - Target ---
+ * Acc 0.873
+--- Training ---
+Epoch 54 train loss: 0.3937, acc: 0.9297
+--- Validation - Source ---
+ * Acc 0.940
+--- Validation - Target ---
+ * Acc 0.879
+--- Training ---
+Epoch 55 train loss: 0.3927, acc: 0.9301
+--- Validation - Source ---
+ * Acc 0.940
+--- Validation - Target ---
+ * Acc 0.875
+--- Training ---
+Epoch 56 train loss: 0.3932, acc: 0.9297
+--- Validation - Source ---
+ * Acc 0.940
+--- Validation - Target ---
+ * Acc 0.860
+--- Training ---
+Epoch 57 train loss: 0.3913, acc: 0.9304
+--- Validation - Source ---
+ * Acc 0.940
+--- Validation - Target ---
+ * Acc 0.881
+--- Training ---
+Epoch 58 train loss: 0.3915, acc: 0.9302
+--- Validation - Source ---
+ * Acc 0.941
+--- Validation - Target ---
+ * Acc 0.874
+--- Training ---
+Epoch 59 train loss: 0.3879, acc: 0.9310
+--- Validation - Source ---
+ * Acc 0.940
+--- Validation - Target ---
+ * Acc 0.855
+--- Training ---
+Epoch 60 train loss: 0.3885, acc: 0.9307
+--- Validation - Source ---
+ * Acc 0.940
+--- Validation - Target ---
+ * Acc 0.884
+--- Training ---
+Epoch 61 train loss: 0.3896, acc: 0.9306
+--- Validation - Source ---
+ * Acc 0.940
+--- Validation - Target ---
+ * Acc 0.866
+--- Training ---
+Epoch 62 train loss: 0.3881, acc: 0.9312
+--- Validation - Source ---
+ * Acc 0.941
+--- Validation - Target ---
+ * Acc 0.874
+mIoU improved from 0.6778 to 0.6800.
+--- Training ---
+Epoch 63 train loss: 0.3879, acc: 0.9307
+--- Validation - Source ---
+ * Acc 0.941
+--- Validation - Target ---
+ * Acc 0.877
+--- Training ---
+Epoch 64 train loss: 0.3874, acc: 0.9308
+--- Validation - Source ---
+ * Acc 0.941
+--- Validation - Target ---
+ * Acc 0.880
+--- Training ---
+Epoch 65 train loss: 0.3873, acc: 0.9311
+--- Validation - Source ---
+ * Acc 0.940
+--- Validation - Target ---
+ * Acc 0.877
+--- Training ---
+Epoch 66 train loss: 0.3861, acc: 0.9311
+--- Validation - Source ---
+ * Acc 0.941
+--- Validation - Target ---
+ * Acc 0.876
+--- Training ---
+Epoch 67 train loss: 0.3864, acc: 0.9312
+--- Validation - Source ---
+ * Acc 0.940
+--- Validation - Target ---
+ * Acc 0.878
+--- Training ---
+Epoch 68 train loss: 0.3847, acc: 0.9316
+--- Validation - Source ---
+ * Acc 0.941
+--- Validation - Target ---
+ * Acc 0.874
+mIoU improved from 0.6800 to 0.6821.
+--- Training ---
+Epoch 69 train loss: 0.3850, acc: 0.9315
+--- Validation - Source ---
+ * Acc 0.941
+--- Validation - Target ---
+ * Acc 0.871
+mIoU improved from 0.6821 to 0.6829.
+--- Training ---
+Epoch 70 train loss: 0.3844, acc: 0.9314
+--- Validation - Source ---
+ * Acc 0.941
+--- Validation - Target ---
+ * Acc 0.868
+--- Training ---
+Epoch 71 train loss: 0.3832, acc: 0.9319
+--- Validation - Source ---
+ * Acc 0.941
+--- Validation - Target ---
+ * Acc 0.868
+--- Training ---
+Epoch 72 train loss: 0.3821, acc: 0.9318
+--- Validation - Source ---
+ * Acc 0.941
+--- Validation - Target ---
+ * Acc 0.864
+--- Training ---
+Epoch 73 train loss: 0.3838, acc: 0.9313
+--- Validation - Source ---
+ * Acc 0.941
+--- Validation - Target ---
+ * Acc 0.860
+--- Training ---
+Epoch 74 train loss: 0.3825, acc: 0.9317
+--- Validation - Source ---
+ * Acc 0.941
+--- Validation - Target ---
+ * Acc 0.874
+--- Training ---
+Epoch 75 train loss: 0.3832, acc: 0.9317
+--- Validation - Source ---
+ * Acc 0.941
+--- Validation - Target ---
+ * Acc 0.868
+--- Training ---
+Epoch 76 train loss: 0.3834, acc: 0.9319
+--- Validation - Source ---
+ * Acc 0.941
+--- Validation - Target ---
+ * Acc 0.878
+--- Training ---
+Epoch 77 train loss: 0.3803, acc: 0.9321
+--- Validation - Source ---
+ * Acc 0.941
+--- Validation - Target ---
+ * Acc 0.874
+--- Training ---
+Epoch 78 train loss: 0.3812, acc: 0.9321
+--- Validation - Source ---
+ * Acc 0.941
+--- Validation - Target ---
+ * Acc 0.864
+--- Training ---
+Epoch 79 train loss: 0.3818, acc: 0.9319
+--- Validation - Source ---
+ * Acc 0.941
+--- Validation - Target ---
+ * Acc 0.871
+--- Training ---
+Epoch 80 train loss: 0.3806, acc: 0.9322
+--- Validation - Source ---
+ * Acc 0.941
+--- Validation - Target ---
+ * Acc 0.879
+--- Training ---
+Epoch 81 train loss: 0.3791, acc: 0.9326
+--- Validation - Source ---
+ * Acc 0.941
+--- Validation - Target ---
+ * Acc 0.863
+--- Training ---
+Epoch 82 train loss: 0.3809, acc: 0.9324
+--- Validation - Source ---
+ * Acc 0.941
+--- Validation - Target ---
+ * Acc 0.866
+--- Training ---
+Epoch 83 train loss: 0.3795, acc: 0.9326
+--- Validation - Source ---
+ * Acc 0.941
+--- Validation - Target ---
+ * Acc 0.832
+mIoU improved from 0.6829 to 0.6834.
+--- Training ---
+Epoch 84 train loss: 0.3809, acc: 0.9320
+--- Validation - Source ---
+ * Acc 0.941
+--- Validation - Target ---
+ * Acc 0.864
+--- Training ---
+Epoch 85 train loss: 0.3793, acc: 0.9326
+--- Validation - Source ---
+ * Acc 0.941
+--- Validation - Target ---
+ * Acc 0.879
+--- Training ---
+Epoch 86 train loss: 0.3804, acc: 0.9321
+--- Validation - Source ---
+ * Acc 0.941
+--- Validation - Target ---
+ * Acc 0.888
+--- Training ---
+Epoch 87 train loss: 0.3774, acc: 0.9326
+--- Validation - Source ---
+ * Acc 0.942
+--- Validation - Target ---
+ * Acc 0.864
+--- Training ---
+Epoch 88 train loss: 0.3770, acc: 0.9329
+--- Validation - Source ---
+ * Acc 0.941
+--- Validation - Target ---
+ * Acc 0.875
+--- Training ---
+Epoch 89 train loss: 0.3786, acc: 0.9326
+--- Validation - Source ---
+ * Acc 0.941
+--- Validation - Target ---
+ * Acc 0.859
+--- Training ---
+Epoch 90 train loss: 0.3773, acc: 0.9327
+--- Validation - Source ---
+ * Acc 0.941
+--- Validation - Target ---
+ * Acc 0.855
+--- Training ---
+Epoch 91 train loss: 0.3780, acc: 0.9327
+--- Validation - Source ---
+ * Acc 0.941
+--- Validation - Target ---
+ * Acc 0.862
+--- Training ---
+Epoch 92 train loss: 0.3765, acc: 0.9330
+--- Validation - Source ---
+ * Acc 0.941
+--- Validation - Target ---
+ * Acc 0.856
+--- Training ---
+Epoch 93 train loss: 0.3781, acc: 0.9329
+--- Validation - Source ---
+ * Acc 0.941
+--- Validation - Target ---
+ * Acc 0.870
+--- Training ---
+Epoch 94 train loss: 0.3768, acc: 0.9330
+--- Validation - Source ---
+ * Acc 0.942
+--- Validation - Target ---
+ * Acc 0.864
+--- Training ---
+Epoch 95 train loss: 0.3781, acc: 0.9325
+--- Validation - Source ---
+ * Acc 0.942
+--- Validation - Target ---
+ * Acc 0.859
+--- Training ---
+Epoch 96 train loss: 0.3763, acc: 0.9332
+--- Validation - Source ---
+ * Acc 0.941
+--- Validation - Target ---
+ * Acc 0.863
+--- Training ---
+Epoch 97 train loss: 0.3791, acc: 0.9326
+--- Validation - Source ---
+ * Acc 0.941
+--- Validation - Target ---
+ * Acc 0.859
+--- Training ---
+Epoch 98 train loss: 0.3781, acc: 0.9326
+--- Validation - Source ---
+ * Acc 0.941
+--- Validation - Target ---
+ * Acc 0.869
+--- Training ---
+Epoch 99 train loss: 0.3770, acc: 0.9329
+--- Validation - Source ---
+ * Acc 0.942
+--- Validation - Target ---
+ * Acc 0.870
+Training complete in 318m 11s
+Best mIoU target: 0.614531

fog2/logs/best_class_iou.txt

@@ -0,0 +1,52 @@
+---------------------
+Epoch 83
+classes           IoU
+---------------------
+road          : 0.975
+sidewalk      : 0.802
+building      : 0.889
+wall          : 0.487
+fence         : 0.488
+pole          : 0.452
+traffic light : 0.472
+traffic sign  : 0.612
+vegetation    : 0.894
+terrain       : 0.550
+sky           : 0.932
+person        : 0.698
+rider         : 0.459
+car           : 0.914
+truck         : 0.713
+bus           : 0.795
+train         : 0.707
+motorcycle    : 0.497
+bicycle       : 0.648
+---------------------
+Score Average : 0.683
+---------------------
+---------------------
+Epoch 83
+classes           IoU
+---------------------
+road          : 0.917
+sidewalk      : 0.773
+building      : 0.687
+wall          : 0.432
+fence         : 0.346
+pole          : 0.293
+traffic light : 0.529
+traffic sign  : 0.478
+vegetation    : 0.715
+terrain       : 0.443
+sky           : 0.679
+person        : 0.506
+rider         : 0.417
+car           : 0.756
+truck         : 0.636
+bus           : 0.739
+train         : 0.639
+motorcycle    : 0.601
+bicycle       : 0.408
+---------------------
+Score Average : 0.579
+---------------------

fog2/logs/best_target_class_iou.txt

@@ -0,0 +1,52 @@
+---------------------
+Epoch 4
+classes           IoU
+---------------------
+road          : 0.972
+sidewalk      : 0.791
+building      : 0.882
+wall          : 0.409
+fence         : 0.484
+pole          : 0.427
+traffic light : 0.440
+traffic sign  : 0.585
+vegetation    : 0.888
+terrain       : 0.558
+sky           : 0.919
+person        : 0.680
+rider         : 0.420
+car           : 0.907
+truck         : 0.705
+bus           : 0.796
+train         : 0.703
+motorcycle    : 0.485
+bicycle       : 0.645
+---------------------
+Score Average : 0.668
+---------------------
+---------------------
+Epoch 4
+classes           IoU
+---------------------
+road          : 0.931
+sidewalk      : 0.765
+building      : 0.749
+wall          : 0.442
+fence         : 0.361
+pole          : 0.327
+traffic light : 0.517
+traffic sign  : 0.475
+vegetation    : 0.817
+terrain       : 0.379
+sky           : 0.869
+person        : 0.485
+rider         : 0.590
+car           : 0.793
+truck         : 0.608
+bus           : 0.761
+train         : 0.685
+motorcycle    : 0.648
+bicycle       : 0.476
+---------------------
+Score Average : 0.615
+---------------------

fog2/logs/class_iou.txt

@@ -0,0 +1,52 @@
+---------------------
+Epoch 99
+classes           IoU
+---------------------
+road          : 0.975
+sidewalk      : 0.805
+building      : 0.889
+wall          : 0.476
+fence         : 0.492
+pole          : 0.453
+traffic light : 0.474
+traffic sign  : 0.613
+vegetation    : 0.895
+terrain       : 0.562
+sky           : 0.931
+person        : 0.698
+rider         : 0.459
+car           : 0.914
+truck         : 0.702
+bus           : 0.790
+train         : 0.690
+motorcycle    : 0.503
+bicycle       : 0.653
+---------------------
+Score Average : 0.683
+---------------------
+---------------------
+Epoch 99
+classes           IoU
+---------------------
+road          : 0.935
+sidewalk      : 0.766
+building      : 0.739
+wall          : 0.439
+fence         : 0.337
+pole          : 0.317
+traffic light : 0.535
+traffic sign  : 0.471
+vegetation    : 0.763
+terrain       : 0.404
+sky           : 0.798
+person        : 0.507
+rider         : 0.464
+car           : 0.789
+truck         : 0.662
+bus           : 0.750
+train         : 0.735
+motorcycle    : 0.612
+bicycle       : 0.412
+---------------------
+Score Average : 0.602
+---------------------

fog2/logs/log_epoch.csv

@@ -0,0 +1,101 @@
+epoch, train loss, train source loss, train synth loss, train sim loss, val loss source, train acc, train acc synth, val acc source, test target acc, miou, miou target, learning rate, scale 
+0, 0.47860, 0.26535, 0.21325, 0.00000, 0.18577, 0.91389, 0.92962, 0.93804, 0.89485, 0.66914, 0.59275, 0.00100
+1, 0.47600, 0.26278, 0.21322, 0.00000, 0.18962, 0.91469, 0.92976, 0.93690, 0.87361, 0.65824, 0.58534, 0.00099
+2, 0.46914, 0.25802, 0.21112, 0.00000, 0.19855, 0.91601, 0.93019, 0.93387, 0.86212, 0.65918, 0.57476, 0.00098
+3, 0.46348, 0.25399, 0.20949, 0.00000, 0.18837, 0.91714, 0.93057, 0.93716, 0.85770, 0.66612, 0.58429, 0.00097
+4, 0.45820, 0.25092, 0.20728, 0.00000, 0.18779, 0.91799, 0.93142, 0.93743, 0.89139, 0.66808, 0.61453, 0.00096
+5, 0.45717, 0.24933, 0.20783, 0.00000, 0.18758, 0.91846, 0.93127, 0.93776, 0.87855, 0.66381, 0.59846, 0.00095
+6, 0.45298, 0.24680, 0.20617, 0.00000, 0.19091, 0.91908, 0.93169, 0.93679, 0.83322, 0.66304, 0.57809, 0.00095
+7, 0.45279, 0.24676, 0.20603, 0.00000, 0.19042, 0.91930, 0.93156, 0.93694, 0.86092, 0.65965, 0.56162, 0.00094
+8, 0.44968, 0.24519, 0.20450, 0.00000, 0.19087, 0.91922, 0.93214, 0.93600, 0.89198, 0.66090, 0.59506, 0.00093
+9, 0.45072, 0.24539, 0.20533, 0.00000, 0.18684, 0.91957, 0.93191, 0.93786, 0.88175, 0.66562, 0.59654, 0.00092
+10, 0.44549, 0.24277, 0.20272, 0.00000, 0.18821, 0.92036, 0.93263, 0.93713, 0.86189, 0.67141, 0.59039, 0.00091
+11, 0.44609, 0.24359, 0.20250, 0.00000, 0.18608, 0.92010, 0.93279, 0.93807, 0.87082, 0.67109, 0.59183, 0.00090
+12, 0.44072, 0.23873, 0.20199, 0.00000, 0.18815, 0.92172, 0.93285, 0.93729, 0.86558, 0.66642, 0.57659, 0.00089
+13, 0.43872, 0.23787, 0.20085, 0.00000, 0.18561, 0.92195, 0.93328, 0.93812, 0.86947, 0.66966, 0.59792, 0.00088
+14, 0.43662, 0.23699, 0.19962, 0.00000, 0.18694, 0.92217, 0.93360, 0.93780, 0.84101, 0.67187, 0.58277, 0.00087
+15, 0.43396, 0.23585, 0.19811, 0.00000, 0.18705, 0.92237, 0.93401, 0.93774, 0.87798, 0.66948, 0.60338, 0.00086
+16, 0.43472, 0.23530, 0.19943, 0.00000, 0.18728, 0.92259, 0.93359, 0.93752, 0.84936, 0.66290, 0.57747, 0.00085
+17, 0.43405, 0.23533, 0.19872, 0.00000, 0.18761, 0.92237, 0.93388, 0.93760, 0.84073, 0.66023, 0.57101, 0.00085
+18, 0.43167, 0.23351, 0.19816, 0.00000, 0.18458, 0.92294, 0.93394, 0.93872, 0.87831, 0.66862, 0.59824, 0.00084
+19, 0.42833, 0.23233, 0.19600, 0.00000, 0.18612, 0.92351, 0.93470, 0.93850, 0.86918, 0.67185, 0.59875, 0.00083
+20, 0.42707, 0.23034, 0.19673, 0.00000, 0.18545, 0.92389, 0.93460, 0.93866, 0.86547, 0.67208, 0.59176, 0.00082
+21, 0.42445, 0.22959, 0.19485, 0.00000, 0.18368, 0.92416, 0.93511, 0.93899, 0.85953, 0.67192, 0.59047, 0.00081
+22, 0.42344, 0.22852, 0.19492, 0.00000, 0.18422, 0.92436, 0.93486, 0.93911, 0.83118, 0.67486, 0.58514, 0.00080
+23, 0.42344, 0.22903, 0.19440, 0.00000, 0.18311, 0.92445, 0.93524, 0.93916, 0.87359, 0.67559, 0.60616, 0.00079
+24, 0.42154, 0.22765, 0.19389, 0.00000, 0.18413, 0.92461, 0.93530, 0.93902, 0.86913, 0.67451, 0.60064, 0.00078
+25, 0.42188, 0.22779, 0.19409, 0.00000, 0.18588, 0.92454, 0.93528, 0.93864, 0.85013, 0.67096, 0.58027, 0.00077
+26, 0.42110, 0.22721, 0.19389, 0.00000, 0.18747, 0.92507, 0.93538, 0.93808, 0.86996, 0.66909, 0.58182, 0.00076
+27, 0.41899, 0.22587, 0.19313, 0.00000, 0.18643, 0.92514, 0.93546, 0.93849, 0.87732, 0.67491, 0.58339, 0.00075
+28, 0.41664, 0.22496, 0.19168, 0.00000, 0.18407, 0.92557, 0.93610, 0.93911, 0.86571, 0.67354, 0.57878, 0.00074
+29, 0.41564, 0.22442, 0.19121, 0.00000, 0.18345, 0.92581, 0.93606, 0.93893, 0.87249, 0.67514, 0.58757, 0.00073
+30, 0.41535, 0.22438, 0.19097, 0.00000, 0.18257, 0.92584, 0.93611, 0.93938, 0.87991, 0.67150, 0.60438, 0.00073
+31, 0.41221, 0.22149, 0.19072, 0.00000, 0.18306, 0.92640, 0.93618, 0.93925, 0.90273, 0.67586, 0.60745, 0.00072
+32, 0.41469, 0.22428, 0.19041, 0.00000, 0.18390, 0.92577, 0.93626, 0.93937, 0.86409, 0.66868, 0.59158, 0.00071
+33, 0.41164, 0.22194, 0.18970, 0.00000, 0.18262, 0.92650, 0.93666, 0.93937, 0.88495, 0.67780, 0.60477, 0.00070
+34, 0.40884, 0.21999, 0.18885, 0.00000, 0.18455, 0.92715, 0.93684, 0.93879, 0.86336, 0.67512, 0.58531, 0.00069
+35, 0.41045, 0.22080, 0.18965, 0.00000, 0.18328, 0.92690, 0.93653, 0.93951, 0.85643, 0.67643, 0.58311, 0.00068
+36, 0.40918, 0.22080, 0.18838, 0.00000, 0.18175, 0.92682, 0.93689, 0.93999, 0.85854, 0.67598, 0.58295, 0.00067
+37, 0.41023, 0.22077, 0.18946, 0.00000, 0.18308, 0.92672, 0.93670, 0.93936, 0.86956, 0.67319, 0.58064, 0.00066
+38, 0.40801, 0.22006, 0.18795, 0.00000, 0.18304, 0.92703, 0.93706, 0.93929, 0.86098, 0.67400, 0.59185, 0.00065
+39, 0.40743, 0.21968, 0.18775, 0.00000, 0.18155, 0.92686, 0.93705, 0.94009, 0.87171, 0.67684, 0.58948, 0.00064
+40, 0.40498, 0.21812, 0.18686, 0.00000, 0.18250, 0.92771, 0.93738, 0.93958, 0.87080, 0.67551, 0.59924, 0.00063
+41, 0.40395, 0.21682, 0.18712, 0.00000, 0.18447, 0.92793, 0.93725, 0.93977, 0.85394, 0.66982, 0.58330, 0.00062
+42, 0.40509, 0.21814, 0.18695, 0.00000, 0.18008, 0.92755, 0.93742, 0.94028, 0.87158, 0.67585, 0.59278, 0.00061
+43, 0.40156, 0.21641, 0.18515, 0.00000, 0.18048, 0.92840, 0.93795, 0.94030, 0.86039, 0.67172, 0.59328, 0.00060
+44, 0.40054, 0.21522, 0.18532, 0.00000, 0.18139, 0.92852, 0.93800, 0.93991, 0.85819, 0.67444, 0.58120, 0.00059
+45, 0.39984, 0.21489, 0.18495, 0.00000, 0.18018, 0.92865, 0.93793, 0.94051, 0.86551, 0.67783, 0.58537, 0.00058
+46, 0.40178, 0.21542, 0.18636, 0.00000, 0.18205, 0.92844, 0.93762, 0.93991, 0.85886, 0.67596, 0.57054, 0.00057
+47, 0.39825, 0.21347, 0.18478, 0.00000, 0.18105, 0.92891, 0.93790, 0.94001, 0.83657, 0.67489, 0.56313, 0.00056
+48, 0.39753, 0.21353, 0.18400, 0.00000, 0.17989, 0.92889, 0.93817, 0.94054, 0.86035, 0.67501, 0.59909, 0.00056
+49, 0.39587, 0.21233, 0.18354, 0.00000, 0.18147, 0.92932, 0.93837, 0.94013, 0.86478, 0.67342, 0.59433, 0.00055
+50, 0.39657, 0.21328, 0.18328, 0.00000, 0.18105, 0.92915, 0.93853, 0.94050, 0.85730, 0.67389, 0.57656, 0.00054
+51, 0.39506, 0.21177, 0.18329, 0.00000, 0.18121, 0.92951, 0.93848, 0.94019, 0.86620, 0.67514, 0.59081, 0.00053
+52, 0.39498, 0.21205, 0.18293, 0.00000, 0.18183, 0.92949, 0.93852, 0.94001, 0.85769, 0.67190, 0.59065, 0.00052
+53, 0.39484, 0.21217, 0.18267, 0.00000, 0.18026, 0.92942, 0.93864, 0.94046, 0.87286, 0.67558, 0.60169, 0.00051
+54, 0.39368, 0.21095, 0.18273, 0.00000, 0.18165, 0.92974, 0.93872, 0.94013, 0.87913, 0.66953, 0.60060, 0.00050
+55, 0.39273, 0.21009, 0.18264, 0.00000, 0.18230, 0.93007, 0.93864, 0.94013, 0.87498, 0.66900, 0.59977, 0.00049
+56, 0.39321, 0.21084, 0.18238, 0.00000, 0.18102, 0.92972, 0.93865, 0.94006, 0.86043, 0.67442, 0.59464, 0.00048
+57, 0.39127, 0.20902, 0.18225, 0.00000, 0.18293, 0.93037, 0.93869, 0.94038, 0.88069, 0.67413, 0.59622, 0.00047
+58, 0.39148, 0.20986, 0.18162, 0.00000, 0.17944, 0.93016, 0.93899, 0.94059, 0.87413, 0.67600, 0.60259, 0.00046
+59, 0.38792, 0.20736, 0.18056, 0.00000, 0.18068, 0.93099, 0.93928, 0.94024, 0.85492, 0.67455, 0.57992, 0.00045
+60, 0.38850, 0.20796, 0.18054, 0.00000, 0.18135, 0.93065, 0.93933, 0.94035, 0.88353, 0.67543, 0.60865, 0.00044
+61, 0.38960, 0.20825, 0.18135, 0.00000, 0.18388, 0.93059, 0.93907, 0.93970, 0.86642, 0.66897, 0.59318, 0.00043
+62, 0.38809, 0.20677, 0.18132, 0.00000, 0.17926, 0.93119, 0.93907, 0.94109, 0.87365, 0.68002, 0.60406, 0.00042
+63, 0.38790, 0.20767, 0.18023, 0.00000, 0.18038, 0.93068, 0.93940, 0.94059, 0.87699, 0.67581, 0.60985, 0.00041
+64, 0.38744, 0.20713, 0.18030, 0.00000, 0.17935, 0.93075, 0.93938, 0.94097, 0.88003, 0.67998, 0.59846, 0.00040
+65, 0.38727, 0.20715, 0.18011, 0.00000, 0.18257, 0.93106, 0.93935, 0.94036, 0.87738, 0.67453, 0.59581, 0.00039
+66, 0.38606, 0.20681, 0.17925, 0.00000, 0.18012, 0.93110, 0.93957, 0.94057, 0.87626, 0.67956, 0.60791, 0.00038
+67, 0.38636, 0.20648, 0.17989, 0.00000, 0.18224, 0.93121, 0.93940, 0.94016, 0.87790, 0.67647, 0.58523, 0.00037
+68, 0.38474, 0.20518, 0.17956, 0.00000, 0.17936, 0.93163, 0.93955, 0.94102, 0.87402, 0.68207, 0.60430, 0.00036
+69, 0.38501, 0.20531, 0.17970, 0.00000, 0.17834, 0.93154, 0.93953, 0.94120, 0.87139, 0.68292, 0.60774, 0.00035
+70, 0.38438, 0.20559, 0.17879, 0.00000, 0.17961, 0.93135, 0.93977, 0.94118, 0.86768, 0.67500, 0.59822, 0.00034
+71, 0.38320, 0.20405, 0.17916, 0.00000, 0.18011, 0.93193, 0.93968, 0.94069, 0.86822, 0.67688, 0.58747, 0.00033
+72, 0.38207, 0.20432, 0.17775, 0.00000, 0.17995, 0.93180, 0.94002, 0.94071, 0.86368, 0.67688, 0.58444, 0.00032
+73, 0.38376, 0.20493, 0.17884, 0.00000, 0.17908, 0.93135, 0.93969, 0.94096, 0.85978, 0.67754, 0.60385, 0.00031
+74, 0.38251, 0.20423, 0.17828, 0.00000, 0.17882, 0.93170, 0.94006, 0.94101, 0.87405, 0.67625, 0.60557, 0.00030
+75, 0.38324, 0.20459, 0.17865, 0.00000, 0.17967, 0.93167, 0.93997, 0.94096, 0.86792, 0.67584, 0.59835, 0.00029
+76, 0.38342, 0.20457, 0.17885, 0.00000, 0.17979, 0.93185, 0.93969, 0.94062, 0.87802, 0.67491, 0.58739, 0.00028
+77, 0.38033, 0.20308, 0.17725, 0.00000, 0.17961, 0.93214, 0.94034, 0.94076, 0.87386, 0.67722, 0.57902, 0.00027
+78, 0.38123, 0.20320, 0.17804, 0.00000, 0.17994, 0.93212, 0.93984, 0.94082, 0.86430, 0.67714, 0.57384, 0.00026
+79, 0.38178, 0.20380, 0.17798, 0.00000, 0.17851, 0.93194, 0.94012, 0.94109, 0.87057, 0.67676, 0.60354, 0.00025
+80, 0.38059, 0.20277, 0.17782, 0.00000, 0.17901, 0.93223, 0.94016, 0.94080, 0.87881, 0.67489, 0.60263, 0.00023
+81, 0.37907, 0.20206, 0.17701, 0.00000, 0.18040, 0.93255, 0.94036, 0.94102, 0.86264, 0.67672, 0.57829, 0.00022
+82, 0.38092, 0.20285, 0.17807, 0.00000, 0.17867, 0.93240, 0.94011, 0.94105, 0.86576, 0.67962, 0.59706, 0.00021
+83, 0.37948, 0.20210, 0.17738, 0.00000, 0.17795, 0.93255, 0.94018, 0.94147, 0.83180, 0.68341, 0.57852, 0.00020
+84, 0.38087, 0.20382, 0.17705, 0.00000, 0.17904, 0.93195, 0.94038, 0.94122, 0.86398, 0.67784, 0.58942, 0.00019
+85, 0.37926, 0.20213, 0.17714, 0.00000, 0.18043, 0.93256, 0.94037, 0.94091, 0.87901, 0.67547, 0.58925, 0.00018
+86, 0.38043, 0.20272, 0.17771, 0.00000, 0.17925, 0.93213, 0.94007, 0.94107, 0.88814, 0.67653, 0.60097, 0.00017
+87, 0.37738, 0.20143, 0.17596, 0.00000, 0.17847, 0.93259, 0.94073, 0.94153, 0.86368, 0.68106, 0.59145, 0.00016
+88, 0.37705, 0.20063, 0.17642, 0.00000, 0.17918, 0.93288, 0.94055, 0.94119, 0.87545, 0.68189, 0.58553, 0.00015
+89, 0.37861, 0.20170, 0.17691, 0.00000, 0.17967, 0.93263, 0.94042, 0.94075, 0.85885, 0.67961, 0.58636, 0.00014
+90, 0.37729, 0.20107, 0.17622, 0.00000, 0.17888, 0.93271, 0.94064, 0.94143, 0.85468, 0.68040, 0.59163, 0.00013
+91, 0.37801, 0.20170, 0.17631, 0.00000, 0.17808, 0.93274, 0.94052, 0.94146, 0.86190, 0.68245, 0.59350, 0.00011
+92, 0.37649, 0.20020, 0.17629, 0.00000, 0.18003, 0.93304, 0.94048, 0.94073, 0.85648, 0.67371, 0.57969, 0.00010
+93, 0.37815, 0.20094, 0.17721, 0.00000, 0.17841, 0.93286, 0.94028, 0.94133, 0.87046, 0.68255, 0.59970, 0.00009
+94, 0.37677, 0.20067, 0.17610, 0.00000, 0.17766, 0.93299, 0.94072, 0.94152, 0.86400, 0.68113, 0.59259, 0.00008
+95, 0.37808, 0.20167, 0.17641, 0.00000, 0.17767, 0.93251, 0.94048, 0.94163, 0.85854, 0.68195, 0.58914, 0.00007
+96, 0.37629, 0.20009, 0.17620, 0.00000, 0.17974, 0.93317, 0.94064, 0.94091, 0.86335, 0.68068, 0.59827, 0.00006
+97, 0.37910, 0.20193, 0.17717, 0.00000, 0.17913, 0.93256, 0.94028, 0.94092, 0.85852, 0.67857, 0.58898, 0.00004
+98, 0.37814, 0.20118, 0.17697, 0.00000, 0.17804, 0.93259, 0.94022, 0.94132, 0.86896, 0.68226, 0.60344, 0.00003
+99, 0.37698, 0.20082, 0.17616, 0.00000, 0.17749, 0.93287, 0.94062, 0.94158, 0.86999, 0.68284, 0.60186, 0.00002

fog2/logs/target_class_iou_65.txt

@@ -0,0 +1,52 @@
+---------------------
+Epoch 64
+classes           IoU
+---------------------
+road          : 0.975
+sidewalk      : 0.801
+building      : 0.887
+wall          : 0.455
+fence         : 0.493
+pole          : 0.446
+traffic light : 0.469
+traffic sign  : 0.609
+vegetation    : 0.893
+terrain       : 0.558
+sky           : 0.931
+person        : 0.693
+rider         : 0.454
+car           : 0.915
+truck         : 0.710
+bus           : 0.794
+train         : 0.710
+motorcycle    : 0.491
+bicycle       : 0.637
+---------------------
+Score Average : 0.680
+---------------------
+---------------------
+Epoch 64
+classes           IoU
+---------------------
+road          : 0.943
+sidewalk      : 0.773
+building      : 0.754
+wall          : 0.420
+fence         : 0.366
+pole          : 0.310
+traffic light : 0.526
+traffic sign  : 0.481
+vegetation    : 0.774
+terrain       : 0.435
+sky           : 0.824
+person        : 0.506
+rider         : 0.414
+car           : 0.809
+truck         : 0.611
+bus           : 0.713
+train         : 0.756
+motorcycle    : 0.639
+bicycle       : 0.316
+---------------------
+Score Average : 0.598
+---------------------

fog2/weights/best_weights.pth.tar

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cf746748ebc9001bb586694138b82b7522a8dd68e9ad95df51537da233ca60e4
+size 159407526

fog2/weights/best_weights_target.pth.tar

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7328fdd63fb6fe2991e7c186f54a9218b16d1388b1ef4067b5a7bf4b9d6ff3d0
+size 159410194

fog2/weights/checkpoint.pth.tar

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f35a7018a9ecaa20c57a39a708e82ea746eea1b81fb72ff4b6407503bb4dc906
+size 318638251

fog2/weights/weights_65.pth.tar

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ecf2d914a95e00d6485e7ddcf3b2658f140caca707601dd8fdbfad3c7eda6c7a
+size 159406782

game1/exp_args.py

@@ -0,0 +1,31 @@
+class Args:
+    synth_path = '/data/shared/luojun/game_intermediate/leftImg8bit/train/'
+    source_path = '/data/shared/luojun/cityscapes/'
+    target_type = 'gta5'
+    target_path = '/data/shared/luojun/GTA5'
+    experiment_name = '/data/shared/luojun/runs/game1'
+    stop_epoch = 0
+    debug = False
+    load = None
+    resume = None
+    epochs = 100
+    seed = 42
+    sim_weight = 0.0
+    model = 'resnet-50'
+    ssl = 'sim'
+    optimizer = 'sgd'
+    momentum = 0.9
+    wd = 0.0001
+    schedular = 'poly'
+    batch_size = 4
+    lr_head = 0.001
+    lr = 0.001
+    target_size = (512, 1024)
+    crop = 'both_random'
+    crop_size = (384, 768)
+    blur = False
+    cutout = False
+    jitter = 0.5
+    scale = 0.0
+    xs = False
+    workers = 4

game1/log.txt

@@ -0,0 +1,663 @@
+Model pushed to 1 GPU(s), type NVIDIA GeForce RTX 3090.
+--- Training ---
+Epoch 0 train loss: 1.5200, acc: 0.7868
+--- Validation - Source ---
+ * Acc 0.875
+--- Validation - Target ---
+ * Acc 0.757
+mIoU improved from 0.0000 to 0.2504.
+mIoU improved from 0.0000 to 0.3533.
+--- Training ---
+Epoch 1 train loss: 0.9484, acc: 0.8577
+--- Validation - Source ---
+ * Acc 0.892
+--- Validation - Target ---
+ * Acc 0.767
+mIoU improved from 0.2504 to 0.3103.
+mIoU improved from 0.3533 to 0.4474.
+--- Training ---
+Epoch 2 train loss: 0.8383, acc: 0.8724
+--- Validation - Source ---
+ * Acc 0.901
+--- Validation - Target ---
+ * Acc 0.781
+mIoU improved from 0.3103 to 0.3469.
+mIoU improved from 0.4474 to 0.4868.
+--- Training ---
+Epoch 3 train loss: 0.7685, acc: 0.8820
+--- Validation - Source ---
+ * Acc 0.903
+--- Validation - Target ---
+ * Acc 0.784
+mIoU improved from 0.3469 to 0.3595.
+mIoU improved from 0.4868 to 0.5127.
+--- Training ---
+Epoch 4 train loss: 0.7200, acc: 0.8890
+--- Validation - Source ---
+ * Acc 0.910
+--- Validation - Target ---
+ * Acc 0.787
+mIoU improved from 0.3595 to 0.3651.
+mIoU improved from 0.5127 to 0.5264.
+--- Training ---
+Epoch 5 train loss: 0.6844, acc: 0.8944
+--- Validation - Source ---
+ * Acc 0.913
+--- Validation - Target ---
+ * Acc 0.796
+mIoU improved from 0.3651 to 0.3788.
+mIoU improved from 0.5264 to 0.5408.
+--- Training ---
+Epoch 6 train loss: 0.6579, acc: 0.8982
+--- Validation - Source ---
+ * Acc 0.914
+--- Validation - Target ---
+ * Acc 0.796
+mIoU improved from 0.3788 to 0.3839.
+mIoU improved from 0.5408 to 0.5522.
+--- Training ---
+Epoch 7 train loss: 0.6304, acc: 0.9018
+--- Validation - Source ---
+ * Acc 0.914
+--- Validation - Target ---
+ * Acc 0.789
+--- Training ---
+Epoch 8 train loss: 0.6128, acc: 0.9042
+--- Validation - Source ---
+ * Acc 0.916
+--- Validation - Target ---
+ * Acc 0.799
+mIoU improved from 0.3839 to 0.3853.
+mIoU improved from 0.5522 to 0.5619.
+--- Training ---
+Epoch 9 train loss: 0.6024, acc: 0.9064
+--- Validation - Source ---
+ * Acc 0.918
+--- Validation - Target ---
+ * Acc 0.791
+mIoU improved from 0.3853 to 0.3906.
+mIoU improved from 0.5619 to 0.5683.
+--- Training ---
+Epoch 10 train loss: 0.5814, acc: 0.9092
+--- Validation - Source ---
+ * Acc 0.919
+--- Validation - Target ---
+ * Acc 0.801
+mIoU improved from 0.3906 to 0.4018.
+mIoU improved from 0.5683 to 0.5830.
+--- Training ---
+Epoch 11 train loss: 0.5728, acc: 0.9103
+--- Validation - Source ---
+ * Acc 0.921
+--- Validation - Target ---
+ * Acc 0.798
+--- Training ---
+Epoch 12 train loss: 0.5575, acc: 0.9129
+--- Validation - Source ---
+ * Acc 0.921
+--- Validation - Target ---
+ * Acc 0.791
+mIoU improved from 0.5830 to 0.5876.
+--- Training ---
+Epoch 13 train loss: 0.5468, acc: 0.9144
+--- Validation - Source ---
+ * Acc 0.921
+--- Validation - Target ---
+ * Acc 0.800
+--- Training ---
+Epoch 14 train loss: 0.5379, acc: 0.9159
+--- Validation - Source ---
+ * Acc 0.921
+--- Validation - Target ---
+ * Acc 0.801
+mIoU improved from 0.5876 to 0.5963.
+--- Training ---
+Epoch 15 train loss: 0.5325, acc: 0.9167
+--- Validation - Source ---
+ * Acc 0.923
+--- Validation - Target ---
+ * Acc 0.803
+--- Training ---
+Epoch 16 train loss: 0.5242, acc: 0.9179
+--- Validation - Source ---
+ * Acc 0.925
+--- Validation - Target ---
+ * Acc 0.797
+mIoU improved from 0.5963 to 0.6015.
+--- Training ---
+Epoch 17 train loss: 0.5184, acc: 0.9184
+--- Validation - Source ---
+ * Acc 0.924
+--- Validation - Target ---
+ * Acc 0.801
+mIoU improved from 0.4018 to 0.4021.
+mIoU improved from 0.6015 to 0.6067.
+--- Training ---
+Epoch 18 train loss: 0.5084, acc: 0.9199
+--- Validation - Source ---
+ * Acc 0.926
+--- Validation - Target ---
+ * Acc 0.800
+mIoU improved from 0.6067 to 0.6100.
+--- Training ---
+Epoch 19 train loss: 0.5024, acc: 0.9208
+--- Validation - Source ---
+ * Acc 0.925
+--- Validation - Target ---
+ * Acc 0.803
+mIoU improved from 0.4021 to 0.4051.
+mIoU improved from 0.6100 to 0.6133.
+--- Training ---
+Epoch 20 train loss: 0.4986, acc: 0.9213
+--- Validation - Source ---
+ * Acc 0.928
+--- Validation - Target ---
+ * Acc 0.806
+mIoU improved from 0.4051 to 0.4121.
+mIoU improved from 0.6133 to 0.6199.
+--- Training ---
+Epoch 21 train loss: 0.4911, acc: 0.9227
+--- Validation - Source ---
+ * Acc 0.927
+--- Validation - Target ---
+ * Acc 0.805
+--- Training ---
+Epoch 22 train loss: 0.4875, acc: 0.9228
+--- Validation - Source ---
+ * Acc 0.929
+--- Validation - Target ---
+ * Acc 0.807
+mIoU improved from 0.4121 to 0.4132.
+mIoU improved from 0.6199 to 0.6277.
+--- Training ---
+Epoch 23 train loss: 0.4814, acc: 0.9242
+--- Validation - Source ---
+ * Acc 0.928
+--- Validation - Target ---
+ * Acc 0.808
+--- Training ---
+Epoch 24 train loss: 0.4786, acc: 0.9245
+--- Validation - Source ---
+ * Acc 0.927
+--- Validation - Target ---
+ * Acc 0.797
+--- Training ---
+Epoch 25 train loss: 0.4762, acc: 0.9247
+--- Validation - Source ---
+ * Acc 0.929
+--- Validation - Target ---
+ * Acc 0.804
+--- Training ---
+Epoch 26 train loss: 0.4721, acc: 0.9255
+--- Validation - Source ---
+ * Acc 0.929
+--- Validation - Target ---
+ * Acc 0.804
+--- Training ---
+Epoch 27 train loss: 0.4659, acc: 0.9263
+--- Validation - Source ---
+ * Acc 0.929
+--- Validation - Target ---
+ * Acc 0.804
+mIoU improved from 0.6277 to 0.6303.
+--- Training ---
+Epoch 28 train loss: 0.4605, acc: 0.9271
+--- Validation - Source ---
+ * Acc 0.929
+--- Validation - Target ---
+ * Acc 0.804
+--- Training ---
+Epoch 29 train loss: 0.4602, acc: 0.9272
+--- Validation - Source ---
+ * Acc 0.929
+--- Validation - Target ---
+ * Acc 0.796
+mIoU improved from 0.6303 to 0.6324.
+--- Training ---
+Epoch 30 train loss: 0.4554, acc: 0.9277
+--- Validation - Source ---
+ * Acc 0.931
+--- Validation - Target ---
+ * Acc 0.806
+mIoU improved from 0.6324 to 0.6327.
+--- Training ---
+Epoch 31 train loss: 0.4535, acc: 0.9282
+--- Validation - Source ---
+ * Acc 0.930
+--- Validation - Target ---
+ * Acc 0.808
+mIoU improved from 0.6327 to 0.6356.
+--- Training ---
+Epoch 32 train loss: 0.4504, acc: 0.9283
+--- Validation - Source ---
+ * Acc 0.930
+--- Validation - Target ---
+ * Acc 0.802
+mIoU improved from 0.4132 to 0.4160.
+--- Training ---
+Epoch 33 train loss: 0.4459, acc: 0.9292
+--- Validation - Source ---
+ * Acc 0.931
+--- Validation - Target ---
+ * Acc 0.806
+mIoU improved from 0.4160 to 0.4173.
+mIoU improved from 0.6356 to 0.6406.
+--- Training ---
+Epoch 34 train loss: 0.4439, acc: 0.9297
+--- Validation - Source ---
+ * Acc 0.931
+--- Validation - Target ---
+ * Acc 0.800
+--- Training ---
+Epoch 35 train loss: 0.4425, acc: 0.9297
+--- Validation - Source ---
+ * Acc 0.931
+--- Validation - Target ---
+ * Acc 0.804
+--- Training ---
+Epoch 36 train loss: 0.4397, acc: 0.9301
+--- Validation - Source ---
+ * Acc 0.931
+--- Validation - Target ---
+ * Acc 0.795
+--- Training ---
+Epoch 37 train loss: 0.4415, acc: 0.9302
+--- Validation - Source ---
+ * Acc 0.932
+--- Validation - Target ---
+ * Acc 0.807
+mIoU improved from 0.6406 to 0.6423.
+--- Training ---
+Epoch 38 train loss: 0.4354, acc: 0.9304
+--- Validation - Source ---
+ * Acc 0.932
+--- Validation - Target ---
+ * Acc 0.803
+--- Training ---
+Epoch 39 train loss: 0.4349, acc: 0.9307
+--- Validation - Source ---
+ * Acc 0.934
+--- Validation - Target ---
+ * Acc 0.808
+mIoU improved from 0.6423 to 0.6473.
+--- Training ---
+Epoch 40 train loss: 0.4304, acc: 0.9316
+--- Validation - Source ---
+ * Acc 0.932
+--- Validation - Target ---
+ * Acc 0.798
+--- Training ---
+Epoch 41 train loss: 0.4273, acc: 0.9318
+--- Validation - Source ---
+ * Acc 0.933
+--- Validation - Target ---
+ * Acc 0.810
+--- Training ---
+Epoch 42 train loss: 0.4275, acc: 0.9322
+--- Validation - Source ---
+ * Acc 0.933
+--- Validation - Target ---
+ * Acc 0.803
+--- Training ---
+Epoch 43 train loss: 0.4224, acc: 0.9327
+--- Validation - Source ---
+ * Acc 0.934
+--- Validation - Target ---
+ * Acc 0.806
+mIoU improved from 0.4173 to 0.4206.
+--- Training ---
+Epoch 44 train loss: 0.4208, acc: 0.9329
+--- Validation - Source ---
+ * Acc 0.934
+--- Validation - Target ---
+ * Acc 0.805
+--- Training ---
+Epoch 45 train loss: 0.4195, acc: 0.9333
+--- Validation - Source ---
+ * Acc 0.934
+--- Validation - Target ---
+ * Acc 0.808
+mIoU improved from 0.4206 to 0.4212.
+mIoU improved from 0.6473 to 0.6476.
+--- Training ---
+Epoch 46 train loss: 0.4211, acc: 0.9328
+--- Validation - Source ---
+ * Acc 0.934
+--- Validation - Target ---
+ * Acc 0.803
+mIoU improved from 0.6476 to 0.6486.
+--- Training ---
+Epoch 47 train loss: 0.4182, acc: 0.9333
+--- Validation - Source ---
+ * Acc 0.934
+--- Validation - Target ---
+ * Acc 0.807
+mIoU improved from 0.6486 to 0.6488.
+--- Training ---
+Epoch 48 train loss: 0.4168, acc: 0.9334
+--- Validation - Source ---
+ * Acc 0.935
+--- Validation - Target ---
+ * Acc 0.807
+mIoU improved from 0.6488 to 0.6501.
+--- Training ---
+Epoch 49 train loss: 0.4129, acc: 0.9342
+--- Validation - Source ---
+ * Acc 0.933
+--- Validation - Target ---
+ * Acc 0.799
+--- Training ---
+Epoch 50 train loss: 0.4126, acc: 0.9341
+--- Validation - Source ---
+ * Acc 0.934
+--- Validation - Target ---
+ * Acc 0.800
+mIoU improved from 0.6501 to 0.6517.
+--- Training ---
+Epoch 51 train loss: 0.4093, acc: 0.9346
+--- Validation - Source ---
+ * Acc 0.935
+--- Validation - Target ---
+ * Acc 0.811
+mIoU improved from 0.6517 to 0.6580.
+--- Training ---
+Epoch 52 train loss: 0.4086, acc: 0.9348
+--- Validation - Source ---
+ * Acc 0.935
+--- Validation - Target ---
+ * Acc 0.804
+--- Training ---
+Epoch 53 train loss: 0.4099, acc: 0.9347
+--- Validation - Source ---
+ * Acc 0.935
+--- Validation - Target ---
+ * Acc 0.809
+mIoU improved from 0.4212 to 0.4224.
+--- Training ---
+Epoch 54 train loss: 0.4068, acc: 0.9349
+--- Validation - Source ---
+ * Acc 0.935
+--- Validation - Target ---
+ * Acc 0.807
+--- Training ---
+Epoch 55 train loss: 0.4057, acc: 0.9353
+--- Validation - Source ---
+ * Acc 0.935
+--- Validation - Target ---
+ * Acc 0.813
+--- Training ---
+Epoch 56 train loss: 0.4057, acc: 0.9349
+--- Validation - Source ---
+ * Acc 0.935
+--- Validation - Target ---
+ * Acc 0.810
+mIoU improved from 0.4224 to 0.4285.
+--- Training ---
+Epoch 57 train loss: 0.4042, acc: 0.9352
+--- Validation - Source ---
+ * Acc 0.935
+--- Validation - Target ---
+ * Acc 0.812
+--- Training ---
+Epoch 58 train loss: 0.4028, acc: 0.9356
+--- Validation - Source ---
+ * Acc 0.935
+--- Validation - Target ---
+ * Acc 0.810
+--- Training ---
+Epoch 59 train loss: 0.3997, acc: 0.9359
+--- Validation - Source ---
+ * Acc 0.936
+--- Validation - Target ---
+ * Acc 0.807
+--- Training ---
+Epoch 60 train loss: 0.3982, acc: 0.9364
+--- Validation - Source ---
+ * Acc 0.935
+--- Validation - Target ---
+ * Acc 0.807
+--- Training ---
+Epoch 61 train loss: 0.3996, acc: 0.9361
+--- Validation - Source ---
+ * Acc 0.936
+--- Validation - Target ---
+ * Acc 0.806
+--- Training ---
+Epoch 62 train loss: 0.3995, acc: 0.9362
+--- Validation - Source ---
+ * Acc 0.937
+--- Validation - Target ---
+ * Acc 0.810
+mIoU improved from 0.4285 to 0.4310.
+mIoU improved from 0.6580 to 0.6600.
+--- Training ---
+Epoch 63 train loss: 0.3963, acc: 0.9364
+--- Validation - Source ---
+ * Acc 0.936
+--- Validation - Target ---
+ * Acc 0.813
+--- Training ---
+Epoch 64 train loss: 0.3969, acc: 0.9363
+--- Validation - Source ---
+ * Acc 0.937
+--- Validation - Target ---
+ * Acc 0.814
+mIoU improved from 0.6600 to 0.6608.
+--- Training ---
+Epoch 65 train loss: 0.3956, acc: 0.9367
+--- Validation - Source ---
+ * Acc 0.935
+--- Validation - Target ---
+ * Acc 0.802
+--- Training ---
+Epoch 66 train loss: 0.3934, acc: 0.9369
+--- Validation - Source ---
+ * Acc 0.936
+--- Validation - Target ---
+ * Acc 0.801
+--- Training ---
+Epoch 67 train loss: 0.3925, acc: 0.9373
+--- Validation - Source ---
+ * Acc 0.935
+--- Validation - Target ---
+ * Acc 0.804
+--- Training ---
+Epoch 68 train loss: 0.3912, acc: 0.9374
+--- Validation - Source ---
+ * Acc 0.937
+--- Validation - Target ---
+ * Acc 0.809
+mIoU improved from 0.6608 to 0.6633.
+--- Training ---
+Epoch 69 train loss: 0.3915, acc: 0.9372
+--- Validation - Source ---
+ * Acc 0.937
+--- Validation - Target ---
+ * Acc 0.809
+--- Training ---
+Epoch 70 train loss: 0.3910, acc: 0.9372
+--- Validation - Source ---
+ * Acc 0.937
+--- Validation - Target ---
+ * Acc 0.811
+--- Training ---
+Epoch 71 train loss: 0.3914, acc: 0.9373
+--- Validation - Source ---
+ * Acc 0.936
+--- Validation - Target ---
+ * Acc 0.809
+--- Training ---
+Epoch 72 train loss: 0.3879, acc: 0.9377
+--- Validation - Source ---
+ * Acc 0.936
+--- Validation - Target ---
+ * Acc 0.808
+--- Training ---
+Epoch 73 train loss: 0.3885, acc: 0.9377
+--- Validation - Source ---
+ * Acc 0.936
+--- Validation - Target ---
+ * Acc 0.806
+--- Training ---
+Epoch 74 train loss: 0.3883, acc: 0.9377
+--- Validation - Source ---
+ * Acc 0.937
+--- Validation - Target ---
+ * Acc 0.807
+mIoU improved from 0.4310 to 0.4317.
+--- Training ---
+Epoch 75 train loss: 0.3876, acc: 0.9378
+--- Validation - Source ---
+ * Acc 0.937
+--- Validation - Target ---
+ * Acc 0.808
+mIoU improved from 0.6633 to 0.6637.
+--- Training ---
+Epoch 76 train loss: 0.3889, acc: 0.9376
+--- Validation - Source ---
+ * Acc 0.936
+--- Validation - Target ---
+ * Acc 0.804
+--- Training ---
+Epoch 77 train loss: 0.3834, acc: 0.9385
+--- Validation - Source ---
+ * Acc 0.937
+--- Validation - Target ---
+ * Acc 0.806
+--- Training ---
+Epoch 78 train loss: 0.3865, acc: 0.9379
+--- Validation - Source ---
+ * Acc 0.937
+--- Validation - Target ---
+ * Acc 0.812
+--- Training ---
+Epoch 79 train loss: 0.3868, acc: 0.9378
+--- Validation - Source ---
+ * Acc 0.937
+--- Validation - Target ---
+ * Acc 0.806
+--- Training ---
+Epoch 80 train loss: 0.3853, acc: 0.9382
+--- Validation - Source ---
+ * Acc 0.938
+--- Validation - Target ---
+ * Acc 0.806
+--- Training ---
+Epoch 81 train loss: 0.3808, acc: 0.9387
+--- Validation - Source ---
+ * Acc 0.937
+--- Validation - Target ---
+ * Acc 0.805
+--- Training ---
+Epoch 82 train loss: 0.3850, acc: 0.9384
+--- Validation - Source ---
+ * Acc 0.937
+--- Validation - Target ---
+ * Acc 0.810
+mIoU improved from 0.6637 to 0.6653.
+--- Training ---
+Epoch 83 train loss: 0.3827, acc: 0.9387
+--- Validation - Source ---
+ * Acc 0.938
+--- Validation - Target ---
+ * Acc 0.804
+mIoU improved from 0.6653 to 0.6659.
+--- Training ---
+Epoch 84 train loss: 0.3833, acc: 0.9385
+--- Validation - Source ---
+ * Acc 0.937
+--- Validation - Target ---
+ * Acc 0.809
+--- Training ---
+Epoch 85 train loss: 0.3831, acc: 0.9386
+--- Validation - Source ---
+ * Acc 0.937
+--- Validation - Target ---
+ * Acc 0.810
+--- Training ---
+Epoch 86 train loss: 0.3812, acc: 0.9387
+--- Validation - Source ---
+ * Acc 0.937
+--- Validation - Target ---
+ * Acc 0.810
+--- Training ---
+Epoch 87 train loss: 0.3797, acc: 0.9391
+--- Validation - Source ---
+ * Acc 0.938
+--- Validation - Target ---
+ * Acc 0.810
+--- Training ---
+Epoch 88 train loss: 0.3801, acc: 0.9390
+--- Validation - Source ---
+ * Acc 0.937
+--- Validation - Target ---
+ * Acc 0.808
+--- Training ---
+Epoch 89 train loss: 0.3806, acc: 0.9390
+--- Validation - Source ---
+ * Acc 0.937
+--- Validation - Target ---
+ * Acc 0.808
+--- Training ---
+Epoch 90 train loss: 0.3808, acc: 0.9388
+--- Validation - Source ---
+ * Acc 0.938
+--- Validation - Target ---
+ * Acc 0.813
+mIoU improved from 0.6659 to 0.6685.
+--- Training ---
+Epoch 91 train loss: 0.3791, acc: 0.9391
+--- Validation - Source ---
+ * Acc 0.937
+--- Validation - Target ---
+ * Acc 0.808
+--- Training ---
+Epoch 92 train loss: 0.3796, acc: 0.9390
+--- Validation - Source ---
+ * Acc 0.937
+--- Validation - Target ---
+ * Acc 0.808
+--- Training ---
+Epoch 93 train loss: 0.3803, acc: 0.9390
+--- Validation - Source ---
+ * Acc 0.938
+--- Validation - Target ---
+ * Acc 0.806
+--- Training ---
+Epoch 94 train loss: 0.3775, acc: 0.9392
+--- Validation - Source ---
+ * Acc 0.938
+--- Validation - Target ---
+ * Acc 0.812
+--- Training ---
+Epoch 95 train loss: 0.3789, acc: 0.9391
+--- Validation - Source ---
+ * Acc 0.938
+--- Validation - Target ---
+ * Acc 0.812
+--- Training ---
+Epoch 96 train loss: 0.3768, acc: 0.9395
+--- Validation - Source ---
+ * Acc 0.937
+--- Validation - Target ---
+ * Acc 0.803
+--- Training ---
+Epoch 97 train loss: 0.3809, acc: 0.9388
+--- Validation - Source ---
+ * Acc 0.937
+--- Validation - Target ---
+ * Acc 0.809
+--- Training ---
+Epoch 98 train loss: 0.3805, acc: 0.9387
+--- Validation - Source ---
+ * Acc 0.938
+--- Validation - Target ---
+ * Acc 0.809
+--- Training ---
+Epoch 99 train loss: 0.3776, acc: 0.9393
+--- Validation - Source ---
+ * Acc 0.938
+--- Validation - Target ---
+ * Acc 0.811
+Training complete in 736m 51s
+Best mIoU target: 0.431737

game1/logs/best_class_iou.txt

@@ -0,0 +1,52 @@
+---------------------
+Epoch 90
+classes           IoU
+---------------------
+road          : 0.971
+sidewalk      : 0.786
+building      : 0.883
+wall          : 0.407
+fence         : 0.476
+pole          : 0.404
+traffic light : 0.442
+traffic sign  : 0.577
+vegetation    : 0.892
+terrain       : 0.558
+sky           : 0.923
+person        : 0.685
+rider         : 0.440
+car           : 0.912
+truck         : 0.727
+bus           : 0.782
+train         : 0.675
+motorcycle    : 0.508
+bicycle       : 0.655
+---------------------
+Score Average : 0.669
+---------------------
+---------------------
+Epoch 90
+classes           IoU
+---------------------
+road          : 0.768
+sidewalk      : 0.249
+building      : 0.800
+wall          : 0.374
+fence         : 0.144
+pole          : 0.314
+traffic light : 0.333
+traffic sign  : 0.129
+vegetation    : 0.704
+terrain       : 0.301
+sky           : 0.869
+person        : 0.631
+rider         : 0.287
+car           : 0.736
+truck         : 0.568
+bus           : 0.298
+train         : 0.000
+motorcycle    : 0.436
+bicycle       : 0.231
+---------------------
+Score Average : 0.430
+---------------------

game1/logs/best_target_class_iou.txt

@@ -0,0 +1,52 @@
+---------------------
+Epoch 74
+classes           IoU
+---------------------
+road          : 0.970
+sidewalk      : 0.781
+building      : 0.883
+wall          : 0.433
+fence         : 0.482
+pole          : 0.420
+traffic light : 0.435
+traffic sign  : 0.577
+vegetation    : 0.889
+terrain       : 0.539
+sky           : 0.923
+person        : 0.681
+rider         : 0.424
+car           : 0.909
+truck         : 0.705
+bus           : 0.749
+train         : 0.568
+motorcycle    : 0.506
+bicycle       : 0.649
+---------------------
+Score Average : 0.659
+---------------------
+---------------------
+Epoch 74
+classes           IoU
+---------------------
+road          : 0.762
+sidewalk      : 0.248
+building      : 0.791
+wall          : 0.393
+fence         : 0.137
+pole          : 0.334
+traffic light : 0.332
+traffic sign  : 0.111
+vegetation    : 0.702
+terrain       : 0.284
+sky           : 0.879
+person        : 0.642
+rider         : 0.285
+car           : 0.747
+truck         : 0.547
+bus           : 0.346
+train         : 0.000
+motorcycle    : 0.421
+bicycle       : 0.243
+---------------------
+Score Average : 0.432
+---------------------

game1/logs/class_iou.txt

@@ -0,0 +1,52 @@
+---------------------
+Epoch 99
+classes           IoU
+---------------------
+road          : 0.970
+sidewalk      : 0.783
+building      : 0.885
+wall          : 0.450
+fence         : 0.493
+pole          : 0.423
+traffic light : 0.448
+traffic sign  : 0.585
+vegetation    : 0.892
+terrain       : 0.551
+sky           : 0.923
+person        : 0.684
+rider         : 0.435
+car           : 0.911
+truck         : 0.706
+bus           : 0.772
+train         : 0.608
+motorcycle    : 0.500
+bicycle       : 0.650
+---------------------
+Score Average : 0.667
+---------------------
+---------------------
+Epoch 99
+classes           IoU
+---------------------
+road          : 0.766
+sidewalk      : 0.265
+building      : 0.795
+wall          : 0.384
+fence         : 0.152
+pole          : 0.335
+traffic light : 0.345
+traffic sign  : 0.106
+vegetation    : 0.698
+terrain       : 0.296
+sky           : 0.871
+person        : 0.623
+rider         : 0.262
+car           : 0.739
+truck         : 0.549
+bus           : 0.328
+train         : 0.000
+motorcycle    : 0.409
+bicycle       : 0.213
+---------------------
+Score Average : 0.428
+---------------------