输入大小的pk
数据集
- 训练集：clothes std 2.1
- 验证集：LIP986
炼丹参数
- config.core.cls_num = 4
- config.aug.ImageWithMasksRandomRotateAug.max_angle = 45
- config.core.batch_size = 8
- config.core.mean = config.data['mean']
- config.core.std = config.data['std']
- config.core.model_path = "/opt/public/pretrain/ESPNetv2/imagenet/espnetv2_s_2.0.pth"
- config.core.optimizer = torch.optim.SGD(config.core.net.parameters(), 5e-3, momentum=0.9)
- config.core.scheduler = optim.lr_scheduler.MultiStepLR(config.core.optimizer, milestones=[20,40,55,70,80,90,100,110,120,130,140,150,160], gamma=0.27030)
- config.core.train_loader_list = [scale1_train_loader, scale2_train_loader, scale4_train_loader, scale3_train_loader, last_train_loader] i.e. 2.0, 1.75, 1.5, 1.25, 1
- config.core.criterion = torch.nn.CrossEntropyLoss(weight)
- AugFactory('SpeckleAug@0.1 => GaussianAug@0.1 => HorlineAug@0.1 => VerlineAug@0.1 => LRmotionAug@0.1 =>UDmotionAug@0.1 => NoisyAug@0.1 => DarkAug@0.1 => ColorJitterAug@0.15 => BrightnessJitterAug@0.15 =>ContrastJitterAug@0.15 => ImageWithMasksRandomRotateAug@0.6 => ImageWithMasksNormalizeAug =>ImageWithMasksCenterCropAug => ImageWithMasksScaleAug => ImageWithMasksHFlipAug@0.5 =>ImageWithMasksToTensorAug', deepvac_config)
Train
224 * 224
Epoch No.: 0 TRAIN Loss = 0.7503 TRAIN mIOU = 0.6238
Epoch No.: 1 TRAIN Loss = 0.6713 TRAIN mIOU = 0.6503
Epoch No.: 2 TRAIN Loss = 0.6205 TRAIN mIOU = 0.6682
Epoch No.: 3 TRAIN Loss = 0.5997 TRAIN mIOU = 0.6793
Epoch No.: 4 TRAIN Loss = 0.5516 TRAIN mIOU = 0.6917
Epoch No.: 5 TRAIN Loss = 0.5643 TRAIN mIOU = 0.6878
Epoch No.: 6 TRAIN Loss = 0.5286 TRAIN mIOU = 0.7039
Epoch No.: 7 TRAIN Loss = 0.4977 TRAIN mIOU = 0.7162
Epoch No.: 8 TRAIN Loss = 0.5040 TRAIN mIOU = 0.7120
Epoch No.: 9 TRAIN Loss = 0.4753 TRAIN mIOU = 0.7239
Epoch No.: 10 TRAIN Loss = 0.4736 TRAIN mIOU = 0.7276
Epoch No.: 11 TRAIN Loss = 0.4596 TRAIN mIOU = 0.7330
Epoch No.: 12 TRAIN Loss = 0.4824 TRAIN mIOU = 0.7219
Epoch No.: 13 TRAIN Loss = 0.4568 TRAIN mIOU = 0.7305
Epoch No.: 14 TRAIN Loss = 0.4334 TRAIN mIOU = 0.7418
Epoch No.: 15 TRAIN Loss = 0.4432 TRAIN mIOU = 0.7351
Epoch No.: 16 TRAIN Loss = 0.4297 TRAIN mIOU = 0.7424
Epoch No.: 17 TRAIN Loss = 0.4261 TRAIN mIOU = 0.7426
Epoch No.: 18 TRAIN Loss = 0.4251 TRAIN mIOU = 0.7488
Epoch No.: 19 TRAIN Loss = 0.3926 TRAIN mIOU = 0.7578
Epoch No.: 20 TRAIN Loss = 0.3765 TRAIN mIOU = 0.7647
Epoch No.: 21 TRAIN Loss = 0.3777 TRAIN mIOU = 0.7656
Epoch No.: 22 TRAIN Loss = 0.3639 TRAIN mIOU = 0.7720
Epoch No.: 23 TRAIN Loss = 0.3645 TRAIN mIOU = 0.7768
Epoch No.: 24 TRAIN Loss = 0.3711 TRAIN mIOU = 0.7663
Epoch No.: 25 TRAIN Loss = 0.3508 TRAIN mIOU = 0.7807
Epoch No.: 26 TRAIN Loss = 0.3660 TRAIN mIOU = 0.7690
Epoch No.: 27 TRAIN Loss = 0.3565 TRAIN mIOU = 0.7756
Epoch No.: 28 TRAIN Loss = 0.3547 TRAIN mIOU = 0.7764
Epoch No.: 29 TRAIN Loss = 0.3532 TRAIN mIOU = 0.7725
Epoch No.: 30 TRAIN Loss = 0.3574 TRAIN mIOU = 0.7767
Epoch No.: 31 TRAIN Loss = 0.3525 TRAIN mIOU = 0.7748
Epoch No.: 32 TRAIN Loss = 0.3480 TRAIN mIOU = 0.7758
Epoch No.: 33 TRAIN Loss = 0.3450 TRAIN mIOU = 0.7801
Epoch No.: 34 TRAIN Loss = 0.3431 TRAIN mIOU = 0.7828
Epoch No.: 35 TRAIN Loss = 0.3487 TRAIN mIOU = 0.7782
Epoch No.: 36 TRAIN Loss = 0.3499 TRAIN mIOU = 0.7783
Epoch No.: 37 TRAIN Loss = 0.3369 TRAIN mIOU = 0.7802
Epoch No.: 38 TRAIN Loss = 0.3433 TRAIN mIOU = 0.7827
Epoch No.: 39 TRAIN Loss = 0.3399 TRAIN mIOU = 0.7770
Epoch No.: 40 TRAIN Loss = 0.3399 TRAIN mIOU = 0.7875
Epoch No.: 41 TRAIN Loss = 0.3366 TRAIN mIOU = 0.7849
Epoch No.: 42 TRAIN Loss = 0.3324 TRAIN mIOU = 0.7891
Epoch No.: 43 TRAIN Loss = 0.3333 TRAIN mIOU = 0.7851
Epoch No.: 44 TRAIN Loss = 0.3370 TRAIN mIOU = 0.7825
Epoch No.: 45 TRAIN Loss = 0.3273 TRAIN mIOU = 0.7892
Epoch No.: 46 TRAIN Loss = 0.3370 TRAIN mIOU = 0.7839
Epoch No.: 47 TRAIN Loss = 0.3342 TRAIN mIOU = 0.7854
Epoch No.: 48 TRAIN Loss = 0.3284 TRAIN mIOU = 0.7912
Epoch No.: 49 TRAIN Loss = 0.3266 TRAIN mIOU = 0.7904
384 * 384
Epoch No.: 0 TRAIN Loss = 0.7410 TRAIN mIOU = 0.6298
Epoch No.: 1 TRAIN Loss = 0.6346 TRAIN mIOU = 0.6695
Epoch No.: 2 TRAIN Loss = 0.5823 TRAIN mIOU = 0.6901
Epoch No.: 3 TRAIN Loss = 0.5556 TRAIN mIOU = 0.6985
Epoch No.: 4 TRAIN Loss = 0.5197 TRAIN mIOU = 0.7122
Epoch No.: 5 TRAIN Loss = 0.5197 TRAIN mIOU = 0.7111
Epoch No.: 6 TRAIN Loss = 0.4832 TRAIN mIOU = 0.7300
Epoch No.: 7 TRAIN Loss = 0.4737 TRAIN mIOU = 0.7334
Epoch No.: 8 TRAIN Loss = 0.4673 TRAIN mIOU = 0.7334
Epoch No.: 9 TRAIN Loss = 0.4544 TRAIN mIOU = 0.7406
Epoch No.: 10 TRAIN Loss = 0.4384 TRAIN mIOU = 0.7477
Epoch No.: 11 TRAIN Loss = 0.4404 TRAIN mIOU = 0.7451
Epoch No.: 12 TRAIN Loss = 0.4195 TRAIN mIOU = 0.7553
Epoch No.: 13 TRAIN Loss = 0.4145 TRAIN mIOU = 0.7527
Epoch No.: 14 TRAIN Loss = 0.4114 TRAIN mIOU = 0.7590
Epoch No.: 15 TRAIN Loss = 0.4026 TRAIN mIOU = 0.7625
Epoch No.: 16 TRAIN Loss = 0.3955 TRAIN mIOU = 0.7651
Epoch No.: 17 TRAIN Loss = 0.3965 TRAIN mIOU = 0.7600
Epoch No.: 18 TRAIN Loss = 0.3644 TRAIN mIOU = 0.7791
Epoch No.: 19 TRAIN Loss = 0.3848 TRAIN mIOU = 0.7707
Epoch No.: 20 TRAIN Loss = 0.3595 TRAIN mIOU = 0.7828
Epoch No.: 21 TRAIN Loss = 0.3410 TRAIN mIOU = 0.7878
Epoch No.: 22 TRAIN Loss = 0.3373 TRAIN mIOU = 0.7897
Epoch No.: 23 TRAIN Loss = 0.3347 TRAIN mIOU = 0.7900
Epoch No.: 24 TRAIN Loss = 0.3215 TRAIN mIOU = 0.7972
Epoch No.: 25 TRAIN Loss = 0.3285 TRAIN mIOU = 0.7950
Epoch No.: 26 TRAIN Loss = 0.3271 TRAIN mIOU = 0.7948
Epoch No.: 27 TRAIN Loss = 0.3280 TRAIN mIOU = 0.7967
Epoch No.: 28 TRAIN Loss = 0.3176 TRAIN mIOU = 0.7990
Epoch No.: 29 TRAIN Loss = 0.3174 TRAIN mIOU = 0.7997
Epoch No.: 30 TRAIN Loss = 0.3141 TRAIN mIOU = 0.7984
Epoch No.: 31 TRAIN Loss = 0.3192 TRAIN mIOU = 0.8005
Epoch No.: 32 TRAIN Loss = 0.3201 TRAIN mIOU = 0.8000
Epoch No.: 33 TRAIN Loss = 0.3105 TRAIN mIOU = 0.8026
Epoch No.: 34 TRAIN Loss = 0.3102 TRAIN mIOU = 0.8026
Epoch No.: 35 TRAIN Loss = 0.3039 TRAIN mIOU = 0.8049
Epoch No.: 36 TRAIN Loss = 0.3102 TRAIN mIOU = 0.8012
Epoch No.: 37 TRAIN Loss = 0.3084 TRAIN mIOU = 0.8028
Epoch No.: 38 TRAIN Loss = 0.3047 TRAIN mIOU = 0.8070
Epoch No.: 39 TRAIN Loss = 0.3096 TRAIN mIOU = 0.8071
Epoch No.: 40 TRAIN Loss = 0.3021 TRAIN mIOU = 0.8081
Epoch No.: 41 TRAIN Loss = 0.3000 TRAIN mIOU = 0.8061
Epoch No.: 42 TRAIN Loss = 0.2979 TRAIN mIOU = 0.8097
Epoch No.: 43 TRAIN Loss = 0.2945 TRAIN mIOU = 0.8095
Epoch No.: 44 TRAIN Loss = 0.2974 TRAIN mIOU = 0.8100
Epoch No.: 45 TRAIN Loss = 0.2967 TRAIN mIOU = 0.8093
Epoch No.: 46 TRAIN Loss = 0.2974 TRAIN mIOU = 0.8076
Epoch No.: 47 TRAIN Loss = 0.2954 TRAIN mIOU = 0.8126
Epoch No.: 48 TRAIN Loss = 0.2982 TRAIN mIOU = 0.8123
Epoch No.: 49 TRAIN Loss = 0.2986 TRAIN mIOU = 0.8078
VAL
224 * 224
Epoch No.: 0 VAL Loss = 0.9486 VAL mIOU = 0.5981
Epoch No.: 1 VAL Loss = 1.0930 VAL mIOU = 0.6254
Epoch No.: 2 VAL Loss = 0.6092 VAL mIOU = 0.6251
Epoch No.: 3 VAL Loss = 0.8239 VAL mIOU = 0.6337
Epoch No.: 4 VAL Loss = 0.6866 VAL mIOU = 0.6363
Epoch No.: 5 VAL Loss = 0.6907 VAL mIOU = 0.6463
Epoch No.: 6 VAL Loss = 0.3703 VAL mIOU = 0.6474
Epoch No.: 7 VAL Loss = 0.1954 VAL mIOU = 0.6546
Epoch No.: 8 VAL Loss = 0.5008 VAL mIOU = 0.6579
Epoch No.: 9 VAL Loss = 0.9468 VAL mIOU = 0.6589
Epoch No.: 10 VAL Loss = 0.3087 VAL mIOU = 0.6500
Epoch No.: 11 VAL Loss = 0.7298 VAL mIOU = 0.6609
Epoch No.: 12 VAL Loss = 0.3829 VAL mIOU = 0.6683
Epoch No.: 13 VAL Loss = 0.7058 VAL mIOU = 0.6331
Epoch No.: 14 VAL Loss = 0.5151 VAL mIOU = 0.6597
Epoch No.: 15 VAL Loss = 0.7313 VAL mIOU = 0.6593
Epoch No.: 16 VAL Loss = 0.3872 VAL mIOU = 0.6708
Epoch No.: 17 VAL Loss = 1.1026 VAL mIOU = 0.6637
Epoch No.: 18 VAL Loss = 0.3062 VAL mIOU = 0.6568
Epoch No.: 19 VAL Loss = 0.2992 VAL mIOU = 0.6666
Epoch No.: 20 VAL Loss = 0.5475 VAL mIOU = 0.6712
Epoch No.: 21 VAL Loss = 1.5159 VAL mIOU = 0.6695
Epoch No.: 22 VAL Loss = 0.7398 VAL mIOU = 0.6710
Epoch No.: 23 VAL Loss = 0.5196 VAL mIOU = 0.6742
Epoch No.: 24 VAL Loss = 0.2721 VAL mIOU = 0.6775
Epoch No.: 25 VAL Loss = 0.5670 VAL mIOU = 0.6809
Epoch No.: 26 VAL Loss = 0.3878 VAL mIOU = 0.6815
Epoch No.: 27 VAL Loss = 0.3445 VAL mIOU = 0.6746
Epoch No.: 28 VAL Loss = 0.3857 VAL mIOU = 0.6773
Epoch No.: 29 VAL Loss = 0.2027 VAL mIOU = 0.6803
Epoch No.: 30 VAL Loss = 0.2369 VAL mIOU = 0.6787
Epoch No.: 31 VAL Loss = 0.3696 VAL mIOU = 0.6804
Epoch No.: 32 VAL Loss = 1.2621 VAL mIOU = 0.6733
Epoch No.: 33 VAL Loss = 0.3596 VAL mIOU = 0.6756
Epoch No.: 34 VAL Loss = 0.2536 VAL mIOU = 0.6796
Epoch No.: 35 VAL Loss = 0.6286 VAL mIOU = 0.6788
Epoch No.: 36 VAL Loss = 0.3019 VAL mIOU = 0.6833
Epoch No.: 37 VAL Loss = 0.5164 VAL mIOU = 0.6773
Epoch No.: 38 VAL Loss = 0.8890 VAL mIOU = 0.6810
Epoch No.: 39 VAL Loss = 0.4940 VAL mIOU = 0.6731
Epoch No.: 40 VAL Loss = 0.2817 VAL mIOU = 0.6795
Epoch No.: 41 VAL Loss = 0.5478 VAL mIOU = 0.6739
Epoch No.: 42 VAL Loss = 0.3053 VAL mIOU = 0.6780
Epoch No.: 43 VAL Loss = 0.3638 VAL mIOU = 0.6782
Epoch No.: 44 VAL Loss = 0.8372 VAL mIOU = 0.6816
Epoch No.: 45 VAL Loss = 0.3126 VAL mIOU = 0.6803
Epoch No.: 46 VAL Loss = 0.7972 VAL mIOU = 0.6771
Epoch No.: 47 VAL Loss = 0.3211 VAL mIOU = 0.6827
Epoch No.: 48 VAL Loss = 0.2223 VAL mIOU = 0.6810
Epoch No.: 49 VAL Loss = 0.8816 VAL mIOU = 0.6790
384 * 384
Epoch No.: 0 VAL Loss = 0.4397 VAL mIOU = 0.6157
Epoch No.: 1 VAL Loss = 1.0275 VAL mIOU = 0.6647
Epoch No.: 2 VAL Loss = 1.0030 VAL mIOU = 0.6670
Epoch No.: 3 VAL Loss = 0.9768 VAL mIOU = 0.6272
Epoch No.: 4 VAL Loss = 0.9051 VAL mIOU = 0.6783
Epoch No.: 5 VAL Loss = 0.4021 VAL mIOU = 0.6695
Epoch No.: 6 VAL Loss = 0.1785 VAL mIOU = 0.6677
Epoch No.: 7 VAL Loss = 0.2535 VAL mIOU = 0.6786
Epoch No.: 8 VAL Loss = 0.2187 VAL mIOU = 0.6725
Epoch No.: 9 VAL Loss = 0.3153 VAL mIOU = 0.6861
Epoch No.: 10 VAL Loss = 0.3899 VAL mIOU = 0.6830
Epoch No.: 11 VAL Loss = 0.8716 VAL mIOU = 0.6870
Epoch No.: 12 VAL Loss = 0.3529 VAL mIOU = 0.6922
Epoch No.: 13 VAL Loss = 0.5868 VAL mIOU = 0.6852
Epoch No.: 14 VAL Loss = 0.6046 VAL mIOU = 0.6880
Epoch No.: 15 VAL Loss = 0.2905 VAL mIOU = 0.6948
Epoch No.: 16 VAL Loss = 0.1958 VAL mIOU = 0.6816
Epoch No.: 17 VAL Loss = 0.4475 VAL mIOU = 0.6891
Epoch No.: 18 VAL Loss = 0.1578 VAL mIOU = 0.6989
Epoch No.: 19 VAL Loss = 0.2862 VAL mIOU = 0.7041
Epoch No.: 20 VAL Loss = 0.4287 VAL mIOU = 0.7104
Epoch No.: 21 VAL Loss = 0.4995 VAL mIOU = 0.7036
Epoch No.: 22 VAL Loss = 0.4040 VAL mIOU = 0.7047
Epoch No.: 23 VAL Loss = 0.2101 VAL mIOU = 0.7023
Epoch No.: 24 VAL Loss = 0.4608 VAL mIOU = 0.7026
Epoch No.: 25 VAL Loss = 0.3806 VAL mIOU = 0.7033
Epoch No.: 26 VAL Loss = 0.3756 VAL mIOU = 0.7023
Epoch No.: 27 VAL Loss = 0.5805 VAL mIOU = 0.7032
Epoch No.: 28 VAL Loss = 0.3759 VAL mIOU = 0.7094
Epoch No.: 29 VAL Loss = 0.4081 VAL mIOU = 0.6970
Epoch No.: 30 VAL Loss = 0.1993 VAL mIOU = 0.7078
Epoch No.: 31 VAL Loss = 0.3640 VAL mIOU = 0.7071
Epoch No.: 32 VAL Loss = 0.3213 VAL mIOU = 0.7089
Epoch No.: 33 VAL Loss = 0.4832 VAL mIOU = 0.7085
Epoch No.: 34 VAL Loss = 0.2025 VAL mIOU = 0.7097
Epoch No.: 35 VAL Loss = 0.1654 VAL mIOU = 0.7108
Epoch No.: 36 VAL Loss = 0.4561 VAL mIOU = 0.7117
Epoch No.: 37 VAL Loss = 0.4685 VAL mIOU = 0.7139
Epoch No.: 38 VAL Loss = 0.6386 VAL mIOU = 0.7068
Epoch No.: 39 VAL Loss = 0.2288 VAL mIOU = 0.7123
Epoch No.: 40 VAL Loss = 0.1666 VAL mIOU = 0.7111
Epoch No.: 41 VAL Loss = 0.3827 VAL mIOU = 0.7101
Epoch No.: 42 VAL Loss = 0.3823 VAL mIOU = 0.7052
Epoch No.: 43 VAL Loss = 0.2659 VAL mIOU = 0.7132
Epoch No.: 44 VAL Loss = 0.4662 VAL mIOU = 0.7042
Epoch No.: 45 VAL Loss = 0.2377 VAL mIOU = 0.7075
Epoch No.: 46 VAL Loss = 0.4985 VAL mIOU = 0.7081
Epoch No.: 47 VAL Loss = 0.2234 VAL mIOU = 0.7029
Epoch No.: 48 VAL Loss = 0.1307 VAL mIOU = 0.7111
Epoch No.: 49 VAL Loss = 0.2732 VAL mIOU = 0.7076
