2021-03-26 20:53:24,463 - Model - INFO - PARAMETER ...
2021-03-26 20:53:24,463 - Model - INFO - Namespace(batch_size=16, decay_rate=0.0001, epoch=251, gpu='1', learning_rate=0.001, log_dir='pointnet2_part_seg_msg', lr_decay=0.5, model='pointnet2_part_seg_msg', normal=True, npoint=2048, optimizer='Adam', step_size=20)
2021-03-26 20:53:24,908 - Model - INFO - The number of training data is: 13995
2021-03-26 20:53:24,909 - Model - INFO - The number of test data is: 2874
2021-03-26 20:53:45,536 - Model - INFO - No existing model, starting training from scratch...
2021-03-26 20:53:45,540 - Model - INFO - Epoch 1 (1/251):
2021-03-26 20:53:45,540 - Model - INFO - Learning rate:0.001000
2021-03-26 21:00:28,956 - Model - INFO - Train accuracy is: 0.85584
2021-03-26 21:01:38,416 - Model - INFO - eval mIoU of Airplane       0.740637
2021-03-26 21:01:38,416 - Model - INFO - eval mIoU of Bag            0.447475
2021-03-26 21:01:38,416 - Model - INFO - eval mIoU of Cap            0.686188
2021-03-26 21:01:38,416 - Model - INFO - eval mIoU of Car            0.606154
2021-03-26 21:01:38,416 - Model - INFO - eval mIoU of Chair          0.880540
2021-03-26 21:01:38,416 - Model - INFO - eval mIoU of Earphone       0.618179
2021-03-26 21:01:38,416 - Model - INFO - eval mIoU of Guitar         0.873399
2021-03-26 21:01:38,416 - Model - INFO - eval mIoU of Knife          0.766975
2021-03-26 21:01:38,416 - Model - INFO - eval mIoU of Lamp           0.736069
2021-03-26 21:01:38,416 - Model - INFO - eval mIoU of Laptop         0.949603
2021-03-26 21:01:38,416 - Model - INFO - eval mIoU of Motorbike      0.233225
2021-03-26 21:01:38,416 - Model - INFO - eval mIoU of Mug            0.485859
2021-03-26 21:01:38,416 - Model - INFO - eval mIoU of Pistol         0.577962
2021-03-26 21:01:38,416 - Model - INFO - eval mIoU of Rocket         0.225274
2021-03-26 21:01:38,416 - Model - INFO - eval mIoU of Skateboard     0.612827
2021-03-26 21:01:38,416 - Model - INFO - eval mIoU of Table          0.761573
2021-03-26 21:01:38,417 - Model - INFO - Epoch 1 test Accuracy: 0.907558  Class avg mIOU: 0.637621   Inctance avg mIOU: 0.766723
2021-03-26 21:01:38,417 - Model - INFO - Save model...
2021-03-26 21:01:38,417 - Model - INFO - Saving at log/part_seg/pointnet2_part_seg_msg/checkpoints/best_model.pth
2021-03-26 21:01:38,487 - Model - INFO - Saving model....
2021-03-26 21:01:38,487 - Model - INFO - Best accuracy is: 0.90756
2021-03-26 21:01:38,487 - Model - INFO - Best class avg mIOU is: 0.63762
2021-03-26 21:01:38,487 - Model - INFO - Best inctance avg mIOU is: 0.76672
2021-03-26 21:01:38,487 - Model - INFO - Epoch 2 (2/251):
2021-03-26 21:01:38,487 - Model - INFO - Learning rate:0.001000
2021-03-26 21:08:20,792 - Model - INFO - Train accuracy is: 0.91860
2021-03-26 21:09:26,340 - Model - INFO - eval mIoU of Airplane       0.738976
2021-03-26 21:09:26,340 - Model - INFO - eval mIoU of Bag            0.673453
2021-03-26 21:09:26,340 - Model - INFO - eval mIoU of Cap            0.803919
2021-03-26 21:09:26,340 - Model - INFO - eval mIoU of Car            0.630208
2021-03-26 21:09:26,340 - Model - INFO - eval mIoU of Chair          0.879868
2021-03-26 21:09:26,340 - Model - INFO - eval mIoU of Earphone       0.706501
2021-03-26 21:09:26,340 - Model - INFO - eval mIoU of Guitar         0.890402
2021-03-26 21:09:26,341 - Model - INFO - eval mIoU of Knife          0.832821
2021-03-26 21:09:26,341 - Model - INFO - eval mIoU of Lamp           0.760572
2021-03-26 21:09:26,341 - Model - INFO - eval mIoU of Laptop         0.943843
2021-03-26 21:09:26,341 - Model - INFO - eval mIoU of Motorbike      0.349938
2021-03-26 21:09:26,341 - Model - INFO - eval mIoU of Mug            0.867917
2021-03-26 21:09:26,341 - Model - INFO - eval mIoU of Pistol         0.606346
2021-03-26 21:09:26,341 - Model - INFO - eval mIoU of Rocket         0.395416
2021-03-26 21:09:26,341 - Model - INFO - eval mIoU of Skateboard     0.527164
2021-03-26 21:09:26,341 - Model - INFO - eval mIoU of Table          0.798423
2021-03-26 21:09:26,341 - Model - INFO - Epoch 2 test Accuracy: 0.917032  Class avg mIOU: 0.712860   Inctance avg mIOU: 0.792927
2021-03-26 21:09:26,341 - Model - INFO - Save model...
2021-03-26 21:09:26,341 - Model - INFO - Saving at log/part_seg/pointnet2_part_seg_msg/checkpoints/best_model.pth
2021-03-26 21:09:26,427 - Model - INFO - Saving model....
2021-03-26 21:09:26,427 - Model - INFO - Best accuracy is: 0.91703
2021-03-26 21:09:26,427 - Model - INFO - Best class avg mIOU is: 0.71286
2021-03-26 21:09:26,427 - Model - INFO - Best inctance avg mIOU is: 0.79293
2021-03-26 21:09:26,427 - Model - INFO - Epoch 3 (3/251):
2021-03-26 21:09:26,427 - Model - INFO - Learning rate:0.001000
2021-03-26 21:16:10,713 - Model - INFO - Train accuracy is: 0.92539
2021-03-26 21:17:15,482 - Model - INFO - eval mIoU of Airplane       0.778591
2021-03-26 21:17:15,482 - Model - INFO - eval mIoU of Bag            0.641186
2021-03-26 21:17:15,482 - Model - INFO - eval mIoU of Cap            0.841365
2021-03-26 21:17:15,482 - Model - INFO - eval mIoU of Car            0.692556
2021-03-26 21:17:15,482 - Model - INFO - eval mIoU of Chair          0.888945
2021-03-26 21:17:15,482 - Model - INFO - eval mIoU of Earphone       0.696372
2021-03-26 21:17:15,482 - Model - INFO - eval mIoU of Guitar         0.881375
2021-03-26 21:17:15,482 - Model - INFO - eval mIoU of Knife          0.846422
2021-03-26 21:17:15,483 - Model - INFO - eval mIoU of Lamp           0.787109
2021-03-26 21:17:15,483 - Model - INFO - eval mIoU of Laptop         0.935915
2021-03-26 21:17:15,483 - Model - INFO - eval mIoU of Motorbike      0.447775
2021-03-26 21:17:15,483 - Model - INFO - eval mIoU of Mug            0.904444
2021-03-26 21:17:15,483 - Model - INFO - eval mIoU of Pistol         0.753458
2021-03-26 21:17:15,483 - Model - INFO - eval mIoU of Rocket         0.276124
2021-03-26 21:17:15,483 - Model - INFO - eval mIoU of Skateboard     0.683700
2021-03-26 21:17:15,483 - Model - INFO - eval mIoU of Table          0.779553
2021-03-26 21:17:15,483 - Model - INFO - Epoch 3 test Accuracy: 0.926109  Class avg mIOU: 0.739681   Inctance avg mIOU: 0.805600
2021-03-26 21:17:15,484 - Model - INFO - Save model...
2021-03-26 21:17:15,484 - Model - INFO - Saving at log/part_seg/pointnet2_part_seg_msg/checkpoints/best_model.pth
2021-03-26 21:17:15,573 - Model - INFO - Saving model....
2021-03-26 21:17:15,574 - Model - INFO - Best accuracy is: 0.92611
2021-03-26 21:17:15,574 - Model - INFO - Best class avg mIOU is: 0.73968
2021-03-26 21:17:15,574 - Model - INFO - Best inctance avg mIOU is: 0.80560
2021-03-26 21:17:15,574 - Model - INFO - Epoch 4 (4/251):
2021-03-26 21:17:15,574 - Model - INFO - Learning rate:0.001000
2021-03-26 21:24:02,350 - Model - INFO - Train accuracy is: 0.92772
2021-03-26 21:25:10,570 - Model - INFO - eval mIoU of Airplane       0.763583
2021-03-26 21:25:10,570 - Model - INFO - eval mIoU of Bag            0.768957
2021-03-26 21:25:10,570 - Model - INFO - eval mIoU of Cap            0.768901
2021-03-26 21:25:10,571 - Model - INFO - eval mIoU of Car            0.686037
2021-03-26 21:25:10,571 - Model - INFO - eval mIoU of Chair          0.886481
2021-03-26 21:25:10,571 - Model - INFO - eval mIoU of Earphone       0.630729
2021-03-26 21:25:10,571 - Model - INFO - eval mIoU of Guitar         0.886434
2021-03-26 21:25:10,571 - Model - INFO - eval mIoU of Knife          0.792723
2021-03-26 21:25:10,571 - Model - INFO - eval mIoU of Lamp           0.784850
2021-03-26 21:25:10,571 - Model - INFO - eval mIoU of Laptop         0.946401
2021-03-26 21:25:10,571 - Model - INFO - eval mIoU of Motorbike      0.459209
2021-03-26 21:25:10,571 - Model - INFO - eval mIoU of Mug            0.866618
2021-03-26 21:25:10,571 - Model - INFO - eval mIoU of Pistol         0.782040
2021-03-26 21:25:10,571 - Model - INFO - eval mIoU of Rocket         0.388919
2021-03-26 21:25:10,571 - Model - INFO - eval mIoU of Skateboard     0.705302
2021-03-26 21:25:10,571 - Model - INFO - eval mIoU of Table          0.802097
2021-03-26 21:25:10,572 - Model - INFO - Epoch 4 test Accuracy: 0.922030  Class avg mIOU: 0.744955   Inctance avg mIOU: 0.809242
2021-03-26 21:25:10,572 - Model - INFO - Save model...
2021-03-26 21:25:10,572 - Model - INFO - Saving at log/part_seg/pointnet2_part_seg_msg/checkpoints/best_model.pth
2021-03-26 21:25:10,666 - Model - INFO - Saving model....
2021-03-26 21:25:10,667 - Model - INFO - Best accuracy is: 0.92611
2021-03-26 21:25:10,667 - Model - INFO - Best class avg mIOU is: 0.74495
2021-03-26 21:25:10,667 - Model - INFO - Best inctance avg mIOU is: 0.80924
2021-03-26 21:25:10,667 - Model - INFO - Epoch 5 (5/251):
2021-03-26 21:25:10,667 - Model - INFO - Learning rate:0.001000
2021-03-26 21:31:54,967 - Model - INFO - Train accuracy is: 0.92971
2021-03-26 21:33:03,202 - Model - INFO - eval mIoU of Airplane       0.782533
2021-03-26 21:33:03,202 - Model - INFO - eval mIoU of Bag            0.465270
2021-03-26 21:33:03,202 - Model - INFO - eval mIoU of Cap            0.808007
2021-03-26 21:33:03,202 - Model - INFO - eval mIoU of Car            0.717015
2021-03-26 21:33:03,203 - Model - INFO - eval mIoU of Chair          0.882974
2021-03-26 21:33:03,203 - Model - INFO - eval mIoU of Earphone       0.629165
2021-03-26 21:33:03,203 - Model - INFO - eval mIoU of Guitar         0.877558
2021-03-26 21:33:03,203 - Model - INFO - eval mIoU of Knife          0.848072
2021-03-26 21:33:03,203 - Model - INFO - eval mIoU of Lamp           0.798058
2021-03-26 21:33:03,203 - Model - INFO - eval mIoU of Laptop         0.952391
2021-03-26 21:33:03,203 - Model - INFO - eval mIoU of Motorbike      0.479104
2021-03-26 21:33:03,203 - Model - INFO - eval mIoU of Mug            0.929549
2021-03-26 21:33:03,203 - Model - INFO - eval mIoU of Pistol         0.778823
2021-03-26 21:33:03,203 - Model - INFO - eval mIoU of Rocket         0.566701
2021-03-26 21:33:03,203 - Model - INFO - eval mIoU of Skateboard     0.683715
2021-03-26 21:33:03,203 - Model - INFO - eval mIoU of Table          0.797272
2021-03-26 21:33:03,204 - Model - INFO - Epoch 5 test Accuracy: 0.928084  Class avg mIOU: 0.749763   Inctance avg mIOU: 0.813756
2021-03-26 21:33:03,204 - Model - INFO - Save model...
2021-03-26 21:33:03,204 - Model - INFO - Saving at log/part_seg/pointnet2_part_seg_msg/checkpoints/best_model.pth
2021-03-26 21:33:03,307 - Model - INFO - Saving model....
2021-03-26 21:33:03,307 - Model - INFO - Best accuracy is: 0.92808
2021-03-26 21:33:03,308 - Model - INFO - Best class avg mIOU is: 0.74976
2021-03-26 21:33:03,308 - Model - INFO - Best inctance avg mIOU is: 0.81376
2021-03-26 21:33:03,308 - Model - INFO - Epoch 6 (6/251):
2021-03-26 21:33:03,308 - Model - INFO - Learning rate:0.001000
2021-03-26 21:39:48,221 - Model - INFO - Train accuracy is: 0.93100
2021-03-26 21:40:58,313 - Model - INFO - eval mIoU of Airplane       0.783413
2021-03-26 21:40:58,313 - Model - INFO - eval mIoU of Bag            0.762083
2021-03-26 21:40:58,313 - Model - INFO - eval mIoU of Cap            0.837606
2021-03-26 21:40:58,313 - Model - INFO - eval mIoU of Car            0.692932
2021-03-26 21:40:58,313 - Model - INFO - eval mIoU of Chair          0.893316
2021-03-26 21:40:58,314 - Model - INFO - eval mIoU of Earphone       0.731681
2021-03-26 21:40:58,314 - Model - INFO - eval mIoU of Guitar         0.897153
2021-03-26 21:40:58,314 - Model - INFO - eval mIoU of Knife          0.827572
2021-03-26 21:40:58,314 - Model - INFO - eval mIoU of Lamp           0.818571
2021-03-26 21:40:58,314 - Model - INFO - eval mIoU of Laptop         0.947399
2021-03-26 21:40:58,314 - Model - INFO - eval mIoU of Motorbike      0.455779
2021-03-26 21:40:58,314 - Model - INFO - eval mIoU of Mug            0.929084
2021-03-26 21:40:58,314 - Model - INFO - eval mIoU of Pistol         0.753836
2021-03-26 21:40:58,314 - Model - INFO - eval mIoU of Rocket         0.406127
2021-03-26 21:40:58,314 - Model - INFO - eval mIoU of Skateboard     0.727035
2021-03-26 21:40:58,314 - Model - INFO - eval mIoU of Table          0.806986
2021-03-26 21:40:58,314 - Model - INFO - Epoch 6 test Accuracy: 0.930875  Class avg mIOU: 0.766911   Inctance avg mIOU: 0.821399
2021-03-26 21:40:58,314 - Model - INFO - Save model...
2021-03-26 21:40:58,315 - Model - INFO - Saving at log/part_seg/pointnet2_part_seg_msg/checkpoints/best_model.pth
2021-03-26 21:40:58,386 - Model - INFO - Saving model....
2021-03-26 21:40:58,386 - Model - INFO - Best accuracy is: 0.93088
2021-03-26 21:40:58,386 - Model - INFO - Best class avg mIOU is: 0.76691
2021-03-26 21:40:58,386 - Model - INFO - Best inctance avg mIOU is: 0.82140
2021-03-26 21:40:58,386 - Model - INFO - Epoch 7 (7/251):
2021-03-26 21:40:58,386 - Model - INFO - Learning rate:0.001000
2021-03-26 21:47:45,585 - Model - INFO - Train accuracy is: 0.93250
2021-03-26 21:48:53,082 - Model - INFO - eval mIoU of Airplane       0.727965
2021-03-26 21:48:53,082 - Model - INFO - eval mIoU of Bag            0.808763
2021-03-26 21:48:53,083 - Model - INFO - eval mIoU of Cap            0.853021
2021-03-26 21:48:53,083 - Model - INFO - eval mIoU of Car            0.711732
2021-03-26 21:48:53,083 - Model - INFO - eval mIoU of Chair          0.877806
2021-03-26 21:48:53,083 - Model - INFO - eval mIoU of Earphone       0.728329
2021-03-26 21:48:53,083 - Model - INFO - eval mIoU of Guitar         0.900220
2021-03-26 21:48:53,083 - Model - INFO - eval mIoU of Knife          0.828772
2021-03-26 21:48:53,083 - Model - INFO - eval mIoU of Lamp           0.805551
2021-03-26 21:48:53,083 - Model - INFO - eval mIoU of Laptop         0.955737
2021-03-26 21:48:53,083 - Model - INFO - eval mIoU of Motorbike      0.258119
2021-03-26 21:48:53,083 - Model - INFO - eval mIoU of Mug            0.919270
2021-03-26 21:48:53,083 - Model - INFO - eval mIoU of Pistol         0.704939
2021-03-26 21:48:53,083 - Model - INFO - eval mIoU of Rocket         0.480411
2021-03-26 21:48:53,083 - Model - INFO - eval mIoU of Skateboard     0.690808
2021-03-26 21:48:53,084 - Model - INFO - eval mIoU of Table          0.802941
2021-03-26 21:48:53,084 - Model - INFO - Epoch 7 test Accuracy: 0.913710  Class avg mIOU: 0.753399   Inctance avg mIOU: 0.805813
2021-03-26 21:48:53,084 - Model - INFO - Best accuracy is: 0.93088
2021-03-26 21:48:53,084 - Model - INFO - Best class avg mIOU is: 0.76691
2021-03-26 21:48:53,084 - Model - INFO - Best inctance avg mIOU is: 0.82140
2021-03-26 21:48:53,084 - Model - INFO - Epoch 8 (8/251):
2021-03-26 21:48:53,085 - Model - INFO - Learning rate:0.001000
2021-03-26 21:55:31,879 - Model - INFO - Train accuracy is: 0.93367
2021-03-26 21:56:38,413 - Model - INFO - eval mIoU of Airplane       0.759942
2021-03-26 21:56:38,413 - Model - INFO - eval mIoU of Bag            0.603996
2021-03-26 21:56:38,413 - Model - INFO - eval mIoU of Cap            0.833260
2021-03-26 21:56:38,413 - Model - INFO - eval mIoU of Car            0.729088
2021-03-26 21:56:38,413 - Model - INFO - eval mIoU of Chair          0.890726
2021-03-26 21:56:38,413 - Model - INFO - eval mIoU of Earphone       0.299873
2021-03-26 21:56:38,414 - Model - INFO - eval mIoU of Guitar         0.890145
2021-03-26 21:56:38,414 - Model - INFO - eval mIoU of Knife          0.811348
2021-03-26 21:56:38,414 - Model - INFO - eval mIoU of Lamp           0.814826
2021-03-26 21:56:38,414 - Model - INFO - eval mIoU of Laptop         0.953665
2021-03-26 21:56:38,414 - Model - INFO - eval mIoU of Motorbike      0.312201
2021-03-26 21:56:38,414 - Model - INFO - eval mIoU of Mug            0.922579
2021-03-26 21:56:38,414 - Model - INFO - eval mIoU of Pistol         0.761945
2021-03-26 21:56:38,414 - Model - INFO - eval mIoU of Rocket         0.422997
2021-03-26 21:56:38,414 - Model - INFO - eval mIoU of Skateboard     0.706082
2021-03-26 21:56:38,414 - Model - INFO - eval mIoU of Table          0.801482
2021-03-26 21:56:38,414 - Model - INFO - Epoch 8 test Accuracy: 0.923675  Class avg mIOU: 0.719635   Inctance avg mIOU: 0.811757
2021-03-26 21:56:38,415 - Model - INFO - Best accuracy is: 0.93088
2021-03-26 21:56:38,415 - Model - INFO - Best class avg mIOU is: 0.76691
2021-03-26 21:56:38,415 - Model - INFO - Best inctance avg mIOU is: 0.82140
2021-03-26 21:56:38,415 - Model - INFO - Epoch 9 (9/251):
2021-03-26 21:56:38,415 - Model - INFO - Learning rate:0.001000
2021-03-26 22:03:25,945 - Model - INFO - Train accuracy is: 0.93319
2021-03-26 22:04:34,910 - Model - INFO - eval mIoU of Airplane       0.758041
2021-03-26 22:04:34,910 - Model - INFO - eval mIoU of Bag            0.564823
2021-03-26 22:04:34,910 - Model - INFO - eval mIoU of Cap            0.831594
2021-03-26 22:04:34,910 - Model - INFO - eval mIoU of Car            0.641035
2021-03-26 22:04:34,910 - Model - INFO - eval mIoU of Chair          0.883484
2021-03-26 22:04:34,910 - Model - INFO - eval mIoU of Earphone       0.469128
2021-03-26 22:04:34,910 - Model - INFO - eval mIoU of Guitar         0.870854
2021-03-26 22:04:34,910 - Model - INFO - eval mIoU of Knife          0.853204
2021-03-26 22:04:34,910 - Model - INFO - eval mIoU of Lamp           0.816409
2021-03-26 22:04:34,910 - Model - INFO - eval mIoU of Laptop         0.951851
2021-03-26 22:04:34,911 - Model - INFO - eval mIoU of Motorbike      0.433620
2021-03-26 22:04:34,911 - Model - INFO - eval mIoU of Mug            0.939111
2021-03-26 22:04:34,911 - Model - INFO - eval mIoU of Pistol         0.708826
2021-03-26 22:04:34,911 - Model - INFO - eval mIoU of Rocket         0.244396
2021-03-26 22:04:34,911 - Model - INFO - eval mIoU of Skateboard     0.719199
2021-03-26 22:04:34,911 - Model - INFO - eval mIoU of Table          0.787895
2021-03-26 22:04:34,911 - Model - INFO - Epoch 9 test Accuracy: 0.920699  Class avg mIOU: 0.717092   Inctance avg mIOU: 0.802694
2021-03-26 22:04:34,911 - Model - INFO - Best accuracy is: 0.93088
2021-03-26 22:04:34,911 - Model - INFO - Best class avg mIOU is: 0.76691
2021-03-26 22:04:34,912 - Model - INFO - Best inctance avg mIOU is: 0.82140
2021-03-26 22:04:34,912 - Model - INFO - Epoch 10 (10/251):
2021-03-26 22:04:34,912 - Model - INFO - Learning rate:0.001000
2021-03-26 22:11:23,260 - Model - INFO - Train accuracy is: 0.93551
2021-03-26 22:12:32,676 - Model - INFO - eval mIoU of Airplane       0.756522
2021-03-26 22:12:32,676 - Model - INFO - eval mIoU of Bag            0.780778
2021-03-26 22:12:32,676 - Model - INFO - eval mIoU of Cap            0.365345
2021-03-26 22:12:32,676 - Model - INFO - eval mIoU of Car            0.618684
2021-03-26 22:12:32,676 - Model - INFO - eval mIoU of Chair          0.887532
2021-03-26 22:12:32,676 - Model - INFO - eval mIoU of Earphone       0.708560
2021-03-26 22:12:32,677 - Model - INFO - eval mIoU of Guitar         0.896410
2021-03-26 22:12:32,677 - Model - INFO - eval mIoU of Knife          0.854511
2021-03-26 22:12:32,677 - Model - INFO - eval mIoU of Lamp           0.776362
2021-03-26 22:12:32,677 - Model - INFO - eval mIoU of Laptop         0.950700
2021-03-26 22:12:32,677 - Model - INFO - eval mIoU of Motorbike      0.377096
2021-03-26 22:12:32,677 - Model - INFO - eval mIoU of Mug            0.928353
2021-03-26 22:12:32,677 - Model - INFO - eval mIoU of Pistol         0.740682
2021-03-26 22:12:32,677 - Model - INFO - eval mIoU of Rocket         0.280228
2021-03-26 22:12:32,677 - Model - INFO - eval mIoU of Skateboard     0.510672
2021-03-26 22:12:32,677 - Model - INFO - eval mIoU of Table          0.799471
2021-03-26 22:12:32,678 - Model - INFO - Epoch 10 test Accuracy: 0.922848  Class avg mIOU: 0.701994   Inctance avg mIOU: 0.800800
2021-03-26 22:12:32,678 - Model - INFO - Best accuracy is: 0.93088
2021-03-26 22:12:32,678 - Model - INFO - Best class avg mIOU is: 0.76691
2021-03-26 22:12:32,678 - Model - INFO - Best inctance avg mIOU is: 0.82140
2021-03-26 22:12:32,678 - Model - INFO - Epoch 11 (11/251):
2021-03-26 22:12:32,678 - Model - INFO - Learning rate:0.001000
2021-03-26 22:19:13,650 - Model - INFO - Train accuracy is: 0.93557
2021-03-26 22:20:22,509 - Model - INFO - eval mIoU of Airplane       0.768121
2021-03-26 22:20:22,509 - Model - INFO - eval mIoU of Bag            0.726198
2021-03-26 22:20:22,510 - Model - INFO - eval mIoU of Cap            0.763957
2021-03-26 22:20:22,510 - Model - INFO - eval mIoU of Car            0.732334
2021-03-26 22:20:22,510 - Model - INFO - eval mIoU of Chair          0.893504
2021-03-26 22:20:22,510 - Model - INFO - eval mIoU of Earphone       0.613784
2021-03-26 22:20:22,510 - Model - INFO - eval mIoU of Guitar         0.903026
2021-03-26 22:20:22,510 - Model - INFO - eval mIoU of Knife          0.846143
2021-03-26 22:20:22,510 - Model - INFO - eval mIoU of Lamp           0.814799
2021-03-26 22:20:22,510 - Model - INFO - eval mIoU of Laptop         0.946501
2021-03-26 22:20:22,510 - Model - INFO - eval mIoU of Motorbike      0.495876
2021-03-26 22:20:22,510 - Model - INFO - eval mIoU of Mug            0.903270
2021-03-26 22:20:22,510 - Model - INFO - eval mIoU of Pistol         0.802752
2021-03-26 22:20:22,510 - Model - INFO - eval mIoU of Rocket         0.560358
2021-03-26 22:20:22,510 - Model - INFO - eval mIoU of Skateboard     0.729253
2021-03-26 22:20:22,510 - Model - INFO - eval mIoU of Table          0.815755
2021-03-26 22:20:22,511 - Model - INFO - Epoch 11 test Accuracy: 0.931766  Class avg mIOU: 0.769727   Inctance avg mIOU: 0.825581
2021-03-26 22:20:22,511 - Model - INFO - Save model...
2021-03-26 22:20:22,511 - Model - INFO - Saving at log/part_seg/pointnet2_part_seg_msg/checkpoints/best_model.pth
2021-03-26 22:20:22,579 - Model - INFO - Saving model....
2021-03-26 22:20:22,580 - Model - INFO - Best accuracy is: 0.93177
2021-03-26 22:20:22,580 - Model - INFO - Best class avg mIOU is: 0.76973
2021-03-26 22:20:22,580 - Model - INFO - Best inctance avg mIOU is: 0.82558
2021-03-26 22:20:22,580 - Model - INFO - Epoch 12 (12/251):
2021-03-26 22:20:22,580 - Model - INFO - Learning rate:0.001000
2021-03-26 22:27:09,690 - Model - INFO - Train accuracy is: 0.93671
2021-03-26 22:28:16,335 - Model - INFO - eval mIoU of Airplane       0.783527
2021-03-26 22:28:16,336 - Model - INFO - eval mIoU of Bag            0.805258
2021-03-26 22:28:16,336 - Model - INFO - eval mIoU of Cap            0.772463
2021-03-26 22:28:16,336 - Model - INFO - eval mIoU of Car            0.741072
2021-03-26 22:28:16,336 - Model - INFO - eval mIoU of Chair          0.897871
2021-03-26 22:28:16,336 - Model - INFO - eval mIoU of Earphone       0.740139
2021-03-26 22:28:16,336 - Model - INFO - eval mIoU of Guitar         0.895531
2021-03-26 22:28:16,336 - Model - INFO - eval mIoU of Knife          0.841313
2021-03-26 22:28:16,336 - Model - INFO - eval mIoU of Lamp           0.809092
2021-03-26 22:28:16,336 - Model - INFO - eval mIoU of Laptop         0.943191
2021-03-26 22:28:16,336 - Model - INFO - eval mIoU of Motorbike      0.550725
2021-03-26 22:28:16,336 - Model - INFO - eval mIoU of Mug            0.934728
2021-03-26 22:28:16,336 - Model - INFO - eval mIoU of Pistol         0.802751
2021-03-26 22:28:16,336 - Model - INFO - eval mIoU of Rocket         0.588875
2021-03-26 22:28:16,336 - Model - INFO - eval mIoU of Skateboard     0.678148
2021-03-26 22:28:16,336 - Model - INFO - eval mIoU of Table          0.815644
2021-03-26 22:28:16,336 - Model - INFO - Epoch 12 test Accuracy: 0.934027  Class avg mIOU: 0.787520   Inctance avg mIOU: 0.829704
2021-03-26 22:28:16,336 - Model - INFO - Save model...
2021-03-26 22:28:16,337 - Model - INFO - Saving at log/part_seg/pointnet2_part_seg_msg/checkpoints/best_model.pth
2021-03-26 22:28:16,803 - Model - INFO - Saving model....
2021-03-26 22:28:16,803 - Model - INFO - Best accuracy is: 0.93403
2021-03-26 22:28:16,803 - Model - INFO - Best class avg mIOU is: 0.78752
2021-03-26 22:28:16,803 - Model - INFO - Best inctance avg mIOU is: 0.82970
2021-03-26 22:28:16,803 - Model - INFO - Epoch 13 (13/251):
2021-03-26 22:28:16,803 - Model - INFO - Learning rate:0.001000
2021-03-26 22:35:01,172 - Model - INFO - Train accuracy is: 0.93606
2021-03-26 22:36:06,970 - Model - INFO - eval mIoU of Airplane       0.799641
2021-03-26 22:36:06,970 - Model - INFO - eval mIoU of Bag            0.815529
2021-03-26 22:36:06,970 - Model - INFO - eval mIoU of Cap            0.814104
2021-03-26 22:36:06,970 - Model - INFO - eval mIoU of Car            0.701300
2021-03-26 22:36:06,970 - Model - INFO - eval mIoU of Chair          0.884008
2021-03-26 22:36:06,970 - Model - INFO - eval mIoU of Earphone       0.774564
2021-03-26 22:36:06,971 - Model - INFO - eval mIoU of Guitar         0.893939
2021-03-26 22:36:06,971 - Model - INFO - eval mIoU of Knife          0.846472
2021-03-26 22:36:06,971 - Model - INFO - eval mIoU of Lamp           0.820813
2021-03-26 22:36:06,971 - Model - INFO - eval mIoU of Laptop         0.954320
2021-03-26 22:36:06,971 - Model - INFO - eval mIoU of Motorbike      0.521525
2021-03-26 22:36:06,971 - Model - INFO - eval mIoU of Mug            0.934844
2021-03-26 22:36:06,971 - Model - INFO - eval mIoU of Pistol         0.753472
2021-03-26 22:36:06,971 - Model - INFO - eval mIoU of Rocket         0.556585
2021-03-26 22:36:06,971 - Model - INFO - eval mIoU of Skateboard     0.751075
2021-03-26 22:36:06,971 - Model - INFO - eval mIoU of Table          0.808956
2021-03-26 22:36:06,971 - Model - INFO - Epoch 13 test Accuracy: 0.934363  Class avg mIOU: 0.789447   Inctance avg mIOU: 0.825361
2021-03-26 22:36:06,971 - Model - INFO - Best accuracy is: 0.93436
2021-03-26 22:36:06,972 - Model - INFO - Best class avg mIOU is: 0.78945
2021-03-26 22:36:06,972 - Model - INFO - Best inctance avg mIOU is: 0.82970
2021-03-26 22:36:06,972 - Model - INFO - Epoch 14 (14/251):
2021-03-26 22:36:06,972 - Model - INFO - Learning rate:0.001000
2021-03-26 22:42:51,182 - Model - INFO - Train accuracy is: 0.93737
2021-03-26 22:43:59,963 - Model - INFO - eval mIoU of Airplane       0.775063
2021-03-26 22:43:59,963 - Model - INFO - eval mIoU of Bag            0.775240
2021-03-26 22:43:59,963 - Model - INFO - eval mIoU of Cap            0.789992
2021-03-26 22:43:59,963 - Model - INFO - eval mIoU of Car            0.724570
2021-03-26 22:43:59,963 - Model - INFO - eval mIoU of Chair          0.891457
2021-03-26 22:43:59,963 - Model - INFO - eval mIoU of Earphone       0.713798
2021-03-26 22:43:59,963 - Model - INFO - eval mIoU of Guitar         0.895709
2021-03-26 22:43:59,963 - Model - INFO - eval mIoU of Knife          0.845364
2021-03-26 22:43:59,963 - Model - INFO - eval mIoU of Lamp           0.822234
2021-03-26 22:43:59,963 - Model - INFO - eval mIoU of Laptop         0.953483
2021-03-26 22:43:59,964 - Model - INFO - eval mIoU of Motorbike      0.542634
2021-03-26 22:43:59,964 - Model - INFO - eval mIoU of Mug            0.930872
2021-03-26 22:43:59,964 - Model - INFO - eval mIoU of Pistol         0.797331
2021-03-26 22:43:59,964 - Model - INFO - eval mIoU of Rocket         0.594262
2021-03-26 22:43:59,964 - Model - INFO - eval mIoU of Skateboard     0.679594
2021-03-26 22:43:59,964 - Model - INFO - eval mIoU of Table          0.805904
2021-03-26 22:43:59,964 - Model - INFO - Epoch 14 test Accuracy: 0.931214  Class avg mIOU: 0.783594   Inctance avg mIOU: 0.824628
2021-03-26 22:43:59,964 - Model - INFO - Best accuracy is: 0.93436
2021-03-26 22:43:59,964 - Model - INFO - Best class avg mIOU is: 0.78945
2021-03-26 22:43:59,964 - Model - INFO - Best inctance avg mIOU is: 0.82970
2021-03-26 22:43:59,964 - Model - INFO - Epoch 15 (15/251):
2021-03-26 22:43:59,964 - Model - INFO - Learning rate:0.001000
2021-03-26 22:50:43,507 - Model - INFO - Train accuracy is: 0.93729
2021-03-26 22:51:50,809 - Model - INFO - eval mIoU of Airplane       0.770780
2021-03-26 22:51:50,810 - Model - INFO - eval mIoU of Bag            0.799611
2021-03-26 22:51:50,810 - Model - INFO - eval mIoU of Cap            0.738233
2021-03-26 22:51:50,810 - Model - INFO - eval mIoU of Car            0.721983
2021-03-26 22:51:50,810 - Model - INFO - eval mIoU of Chair          0.876529
2021-03-26 22:51:50,810 - Model - INFO - eval mIoU of Earphone       0.786310
2021-03-26 22:51:50,810 - Model - INFO - eval mIoU of Guitar         0.900352
2021-03-26 22:51:50,810 - Model - INFO - eval mIoU of Knife          0.766432
2021-03-26 22:51:50,811 - Model - INFO - eval mIoU of Lamp           0.835363
2021-03-26 22:51:50,811 - Model - INFO - eval mIoU of Laptop         0.953719
2021-03-26 22:51:50,811 - Model - INFO - eval mIoU of Motorbike      0.359383
2021-03-26 22:51:50,811 - Model - INFO - eval mIoU of Mug            0.948168
2021-03-26 22:51:50,811 - Model - INFO - eval mIoU of Pistol         0.783119
2021-03-26 22:51:50,811 - Model - INFO - eval mIoU of Rocket         0.519037
2021-03-26 22:51:50,811 - Model - INFO - eval mIoU of Skateboard     0.737894
2021-03-26 22:51:50,811 - Model - INFO - eval mIoU of Table          0.816374
2021-03-26 22:51:50,812 - Model - INFO - Epoch 15 test Accuracy: 0.929209  Class avg mIOU: 0.769581   Inctance avg mIOU: 0.820131
2021-03-26 22:51:50,812 - Model - INFO - Best accuracy is: 0.93436
2021-03-26 22:51:50,812 - Model - INFO - Best class avg mIOU is: 0.78945
2021-03-26 22:51:50,812 - Model - INFO - Best inctance avg mIOU is: 0.82970
2021-03-26 22:51:50,812 - Model - INFO - Epoch 16 (16/251):
2021-03-26 22:51:50,812 - Model - INFO - Learning rate:0.001000
2021-03-26 22:58:29,091 - Model - INFO - Train accuracy is: 0.93837
2021-03-26 22:59:34,430 - Model - INFO - eval mIoU of Airplane       0.785821
2021-03-26 22:59:34,431 - Model - INFO - eval mIoU of Bag            0.805895
2021-03-26 22:59:34,431 - Model - INFO - eval mIoU of Cap            0.818290
2021-03-26 22:59:34,431 - Model - INFO - eval mIoU of Car            0.726432
2021-03-26 22:59:34,431 - Model - INFO - eval mIoU of Chair          0.879940
2021-03-26 22:59:34,431 - Model - INFO - eval mIoU of Earphone       0.628770
2021-03-26 22:59:34,431 - Model - INFO - eval mIoU of Guitar         0.896484
2021-03-26 22:59:34,431 - Model - INFO - eval mIoU of Knife          0.855673
2021-03-26 22:59:34,431 - Model - INFO - eval mIoU of Lamp           0.813760
2021-03-26 22:59:34,431 - Model - INFO - eval mIoU of Laptop         0.949806
2021-03-26 22:59:34,431 - Model - INFO - eval mIoU of Motorbike      0.484054
2021-03-26 22:59:34,432 - Model - INFO - eval mIoU of Mug            0.947649
2021-03-26 22:59:34,432 - Model - INFO - eval mIoU of Pistol         0.768556
2021-03-26 22:59:34,432 - Model - INFO - eval mIoU of Rocket         0.470199
2021-03-26 22:59:34,432 - Model - INFO - eval mIoU of Skateboard     0.692563
2021-03-26 22:59:34,432 - Model - INFO - eval mIoU of Table          0.793099
2021-03-26 22:59:34,432 - Model - INFO - Epoch 16 test Accuracy: 0.930539  Class avg mIOU: 0.769812   Inctance avg mIOU: 0.816995
2021-03-26 22:59:34,433 - Model - INFO - Best accuracy is: 0.93436
2021-03-26 22:59:34,433 - Model - INFO - Best class avg mIOU is: 0.78945
2021-03-26 22:59:34,433 - Model - INFO - Best inctance avg mIOU is: 0.82970
2021-03-26 22:59:34,433 - Model - INFO - Epoch 17 (17/251):
2021-03-26 22:59:34,433 - Model - INFO - Learning rate:0.001000
2021-03-26 23:06:17,878 - Model - INFO - Train accuracy is: 0.93845
2021-03-26 23:07:25,891 - Model - INFO - eval mIoU of Airplane       0.815051
2021-03-26 23:07:25,892 - Model - INFO - eval mIoU of Bag            0.725564
2021-03-26 23:07:25,892 - Model - INFO - eval mIoU of Cap            0.699182
2021-03-26 23:07:25,892 - Model - INFO - eval mIoU of Car            0.743802
2021-03-26 23:07:25,892 - Model - INFO - eval mIoU of Chair          0.894612
2021-03-26 23:07:25,892 - Model - INFO - eval mIoU of Earphone       0.684550
2021-03-26 23:07:25,892 - Model - INFO - eval mIoU of Guitar         0.898045
2021-03-26 23:07:25,892 - Model - INFO - eval mIoU of Knife          0.862556
2021-03-26 23:07:25,892 - Model - INFO - eval mIoU of Lamp           0.776021
2021-03-26 23:07:25,892 - Model - INFO - eval mIoU of Laptop         0.947295
2021-03-26 23:07:25,892 - Model - INFO - eval mIoU of Motorbike      0.562373
2021-03-26 23:07:25,892 - Model - INFO - eval mIoU of Mug            0.939629
2021-03-26 23:07:25,892 - Model - INFO - eval mIoU of Pistol         0.798981
2021-03-26 23:07:25,892 - Model - INFO - eval mIoU of Rocket         0.322330
2021-03-26 23:07:25,892 - Model - INFO - eval mIoU of Skateboard     0.725578
2021-03-26 23:07:25,892 - Model - INFO - eval mIoU of Table          0.803527
2021-03-26 23:07:25,893 - Model - INFO - Epoch 17 test Accuracy: 0.932389  Class avg mIOU: 0.762444   Inctance avg mIOU: 0.825451
2021-03-26 23:07:25,893 - Model - INFO - Best accuracy is: 0.93436
2021-03-26 23:07:25,893 - Model - INFO - Best class avg mIOU is: 0.78945
2021-03-26 23:07:25,893 - Model - INFO - Best inctance avg mIOU is: 0.82970
2021-03-26 23:07:25,893 - Model - INFO - Epoch 18 (18/251):
2021-03-26 23:07:25,893 - Model - INFO - Learning rate:0.001000
2021-03-26 23:14:13,618 - Model - INFO - Train accuracy is: 0.93848
2021-03-26 23:15:21,892 - Model - INFO - eval mIoU of Airplane       0.787873
2021-03-26 23:15:21,892 - Model - INFO - eval mIoU of Bag            0.598382
2021-03-26 23:15:21,892 - Model - INFO - eval mIoU of Cap            0.796432
2021-03-26 23:15:21,892 - Model - INFO - eval mIoU of Car            0.737337
2021-03-26 23:15:21,892 - Model - INFO - eval mIoU of Chair          0.896021
2021-03-26 23:15:21,892 - Model - INFO - eval mIoU of Earphone       0.699564
2021-03-26 23:15:21,892 - Model - INFO - eval mIoU of Guitar         0.901602
2021-03-26 23:15:21,892 - Model - INFO - eval mIoU of Knife          0.862917
2021-03-26 23:15:21,892 - Model - INFO - eval mIoU of Lamp           0.807616
2021-03-26 23:15:21,892 - Model - INFO - eval mIoU of Laptop         0.932531
2021-03-26 23:15:21,892 - Model - INFO - eval mIoU of Motorbike      0.587366
2021-03-26 23:15:21,892 - Model - INFO - eval mIoU of Mug            0.935962
2021-03-26 23:15:21,892 - Model - INFO - eval mIoU of Pistol         0.728815
2021-03-26 23:15:21,892 - Model - INFO - eval mIoU of Rocket         0.372551
2021-03-26 23:15:21,892 - Model - INFO - eval mIoU of Skateboard     0.748590
2021-03-26 23:15:21,892 - Model - INFO - eval mIoU of Table          0.794507
2021-03-26 23:15:21,893 - Model - INFO - Epoch 18 test Accuracy: 0.926745  Class avg mIOU: 0.761754   Inctance avg mIOU: 0.822084
2021-03-26 23:15:21,893 - Model - INFO - Best accuracy is: 0.93436
2021-03-26 23:15:21,893 - Model - INFO - Best class avg mIOU is: 0.78945
2021-03-26 23:15:21,893 - Model - INFO - Best inctance avg mIOU is: 0.82970
2021-03-26 23:15:21,893 - Model - INFO - Epoch 19 (19/251):
2021-03-26 23:15:21,893 - Model - INFO - Learning rate:0.001000
2021-03-26 23:22:06,505 - Model - INFO - Train accuracy is: 0.93917
2021-03-26 23:23:15,808 - Model - INFO - eval mIoU of Airplane       0.799432
2021-03-26 23:23:15,810 - Model - INFO - eval mIoU of Bag            0.726938
2021-03-26 23:23:15,810 - Model - INFO - eval mIoU of Cap            0.800803
2021-03-26 23:23:15,810 - Model - INFO - eval mIoU of Car            0.740908
2021-03-26 23:23:15,810 - Model - INFO - eval mIoU of Chair          0.893899
2021-03-26 23:23:15,811 - Model - INFO - eval mIoU of Earphone       0.754681
2021-03-26 23:23:15,811 - Model - INFO - eval mIoU of Guitar         0.900357
2021-03-26 23:23:15,811 - Model - INFO - eval mIoU of Knife          0.831073
2021-03-26 23:23:15,811 - Model - INFO - eval mIoU of Lamp           0.804959
2021-03-26 23:23:15,811 - Model - INFO - eval mIoU of Laptop         0.943171
2021-03-26 23:23:15,811 - Model - INFO - eval mIoU of Motorbike      0.515594
2021-03-26 23:23:15,811 - Model - INFO - eval mIoU of Mug            0.905291
2021-03-26 23:23:15,811 - Model - INFO - eval mIoU of Pistol         0.747309
2021-03-26 23:23:15,811 - Model - INFO - eval mIoU of Rocket         0.572461
2021-03-26 23:23:15,811 - Model - INFO - eval mIoU of Skateboard     0.756786
2021-03-26 23:23:15,811 - Model - INFO - eval mIoU of Table          0.803390
2021-03-26 23:23:15,812 - Model - INFO - Epoch 19 test Accuracy: 0.933484  Class avg mIOU: 0.781066   Inctance avg mIOU: 0.825279
2021-03-26 23:23:15,812 - Model - INFO - Best accuracy is: 0.93436
2021-03-26 23:23:15,812 - Model - INFO - Best class avg mIOU is: 0.78945
2021-03-26 23:23:15,812 - Model - INFO - Best inctance avg mIOU is: 0.82970
2021-03-26 23:23:15,812 - Model - INFO - Epoch 20 (20/251):
2021-03-26 23:23:15,812 - Model - INFO - Learning rate:0.001000
2021-03-26 23:29:59,123 - Model - INFO - Train accuracy is: 0.93879
2021-03-26 23:31:06,916 - Model - INFO - eval mIoU of Airplane       0.793724
2021-03-26 23:31:06,917 - Model - INFO - eval mIoU of Bag            0.656263
2021-03-26 23:31:06,917 - Model - INFO - eval mIoU of Cap            0.839310
2021-03-26 23:31:06,917 - Model - INFO - eval mIoU of Car            0.740163
2021-03-26 23:31:06,917 - Model - INFO - eval mIoU of Chair          0.892496
2021-03-26 23:31:06,917 - Model - INFO - eval mIoU of Earphone       0.707246
2021-03-26 23:31:06,917 - Model - INFO - eval mIoU of Guitar         0.894878
2021-03-26 23:31:06,917 - Model - INFO - eval mIoU of Knife          0.867941
2021-03-26 23:31:06,917 - Model - INFO - eval mIoU of Lamp           0.811777
2021-03-26 23:31:06,917 - Model - INFO - eval mIoU of Laptop         0.951030
2021-03-26 23:31:06,917 - Model - INFO - eval mIoU of Motorbike      0.600180
2021-03-26 23:31:06,917 - Model - INFO - eval mIoU of Mug            0.950150
2021-03-26 23:31:06,917 - Model - INFO - eval mIoU of Pistol         0.803672
2021-03-26 23:31:06,917 - Model - INFO - eval mIoU of Rocket         0.617057
2021-03-26 23:31:06,917 - Model - INFO - eval mIoU of Skateboard     0.751989
2021-03-26 23:31:06,917 - Model - INFO - eval mIoU of Table          0.801097
2021-03-26 23:31:06,918 - Model - INFO - Epoch 20 test Accuracy: 0.928658  Class avg mIOU: 0.792436   Inctance avg mIOU: 0.827833
2021-03-26 23:31:06,918 - Model - INFO - Best accuracy is: 0.93436
2021-03-26 23:31:06,918 - Model - INFO - Best class avg mIOU is: 0.79244
2021-03-26 23:31:06,918 - Model - INFO - Best inctance avg mIOU is: 0.82970
2021-03-26 23:31:06,918 - Model - INFO - Epoch 21 (21/251):
2021-03-26 23:31:06,918 - Model - INFO - Learning rate:0.000500
2021-03-26 23:37:42,295 - Model - INFO - Train accuracy is: 0.94339
2021-03-26 23:38:50,075 - Model - INFO - eval mIoU of Airplane       0.816772
2021-03-26 23:38:50,075 - Model - INFO - eval mIoU of Bag            0.800016
2021-03-26 23:38:50,075 - Model - INFO - eval mIoU of Cap            0.799365
2021-03-26 23:38:50,076 - Model - INFO - eval mIoU of Car            0.728389
2021-03-26 23:38:50,076 - Model - INFO - eval mIoU of Chair          0.903250
2021-03-26 23:38:50,076 - Model - INFO - eval mIoU of Earphone       0.741962
2021-03-26 23:38:50,076 - Model - INFO - eval mIoU of Guitar         0.891621
2021-03-26 23:38:50,076 - Model - INFO - eval mIoU of Knife          0.876657
2021-03-26 23:38:50,076 - Model - INFO - eval mIoU of Lamp           0.833977
2021-03-26 23:38:50,077 - Model - INFO - eval mIoU of Laptop         0.954860
2021-03-26 23:38:50,077 - Model - INFO - eval mIoU of Motorbike      0.612545
2021-03-26 23:38:50,077 - Model - INFO - eval mIoU of Mug            0.945229
2021-03-26 23:38:50,077 - Model - INFO - eval mIoU of Pistol         0.776495
2021-03-26 23:38:50,077 - Model - INFO - eval mIoU of Rocket         0.540424
2021-03-26 23:38:50,077 - Model - INFO - eval mIoU of Skateboard     0.741806
2021-03-26 23:38:50,078 - Model - INFO - eval mIoU of Table          0.821490
2021-03-26 23:38:50,078 - Model - INFO - Epoch 21 test Accuracy: 0.939202  Class avg mIOU: 0.799054   Inctance avg mIOU: 0.840979
2021-03-26 23:38:50,078 - Model - INFO - Save model...
2021-03-26 23:38:50,078 - Model - INFO - Saving at log/part_seg/pointnet2_part_seg_msg/checkpoints/best_model.pth
2021-03-26 23:38:50,449 - Model - INFO - Saving model....
2021-03-26 23:38:50,449 - Model - INFO - Best accuracy is: 0.93920
2021-03-26 23:38:50,449 - Model - INFO - Best class avg mIOU is: 0.79905
2021-03-26 23:38:50,449 - Model - INFO - Best inctance avg mIOU is: 0.84098
2021-03-26 23:38:50,449 - Model - INFO - Epoch 22 (22/251):
2021-03-26 23:38:50,450 - Model - INFO - Learning rate:0.000500
2021-03-26 23:45:38,386 - Model - INFO - Train accuracy is: 0.94457
2021-03-26 23:46:47,697 - Model - INFO - eval mIoU of Airplane       0.811184
2021-03-26 23:46:47,697 - Model - INFO - eval mIoU of Bag            0.803084
2021-03-26 23:46:47,697 - Model - INFO - eval mIoU of Cap            0.786658
2021-03-26 23:46:47,697 - Model - INFO - eval mIoU of Car            0.756798
2021-03-26 23:46:47,697 - Model - INFO - eval mIoU of Chair          0.894291
2021-03-26 23:46:47,697 - Model - INFO - eval mIoU of Earphone       0.718408
2021-03-26 23:46:47,697 - Model - INFO - eval mIoU of Guitar         0.898260
2021-03-26 23:46:47,697 - Model - INFO - eval mIoU of Knife          0.852688
2021-03-26 23:46:47,697 - Model - INFO - eval mIoU of Lamp           0.830923
2021-03-26 23:46:47,697 - Model - INFO - eval mIoU of Laptop         0.953216
2021-03-26 23:46:47,698 - Model - INFO - eval mIoU of Motorbike      0.545679
2021-03-26 23:46:47,698 - Model - INFO - eval mIoU of Mug            0.953748
2021-03-26 23:46:47,698 - Model - INFO - eval mIoU of Pistol         0.767468
2021-03-26 23:46:47,698 - Model - INFO - eval mIoU of Rocket         0.575884
2021-03-26 23:46:47,698 - Model - INFO - eval mIoU of Skateboard     0.754324
2021-03-26 23:46:47,698 - Model - INFO - eval mIoU of Table          0.812925
2021-03-26 23:46:47,698 - Model - INFO - Epoch 22 test Accuracy: 0.935353  Class avg mIOU: 0.794721   Inctance avg mIOU: 0.835427
2021-03-26 23:46:47,698 - Model - INFO - Best accuracy is: 0.93920
2021-03-26 23:46:47,699 - Model - INFO - Best class avg mIOU is: 0.79905
2021-03-26 23:46:47,699 - Model - INFO - Best inctance avg mIOU is: 0.84098
2021-03-26 23:46:47,699 - Model - INFO - Epoch 23 (23/251):
2021-03-26 23:46:47,699 - Model - INFO - Learning rate:0.000500
2021-03-26 23:53:34,075 - Model - INFO - Train accuracy is: 0.94483
2021-03-26 23:54:42,512 - Model - INFO - eval mIoU of Airplane       0.792302
2021-03-26 23:54:42,513 - Model - INFO - eval mIoU of Bag            0.776117
2021-03-26 23:54:42,513 - Model - INFO - eval mIoU of Cap            0.840242
2021-03-26 23:54:42,513 - Model - INFO - eval mIoU of Car            0.756080
2021-03-26 23:54:42,513 - Model - INFO - eval mIoU of Chair          0.899687
2021-03-26 23:54:42,513 - Model - INFO - eval mIoU of Earphone       0.750259
2021-03-26 23:54:42,513 - Model - INFO - eval mIoU of Guitar         0.907003
2021-03-26 23:54:42,513 - Model - INFO - eval mIoU of Knife          0.853144
2021-03-26 23:54:42,513 - Model - INFO - eval mIoU of Lamp           0.835754
2021-03-26 23:54:42,513 - Model - INFO - eval mIoU of Laptop         0.953340
2021-03-26 23:54:42,513 - Model - INFO - eval mIoU of Motorbike      0.633187
2021-03-26 23:54:42,513 - Model - INFO - eval mIoU of Mug            0.949878
2021-03-26 23:54:42,513 - Model - INFO - eval mIoU of Pistol         0.810809
2021-03-26 23:54:42,514 - Model - INFO - eval mIoU of Rocket         0.577964
2021-03-26 23:54:42,514 - Model - INFO - eval mIoU of Skateboard     0.753939
2021-03-26 23:54:42,514 - Model - INFO - eval mIoU of Table          0.825621
2021-03-26 23:54:42,514 - Model - INFO - Epoch 23 test Accuracy: 0.938473  Class avg mIOU: 0.807208   Inctance avg mIOU: 0.841595
2021-03-26 23:54:42,514 - Model - INFO - Save model...
2021-03-26 23:54:42,514 - Model - INFO - Saving at log/part_seg/pointnet2_part_seg_msg/checkpoints/best_model.pth
2021-03-26 23:54:43,011 - Model - INFO - Saving model....
2021-03-26 23:54:43,011 - Model - INFO - Best accuracy is: 0.93920
2021-03-26 23:54:43,011 - Model - INFO - Best class avg mIOU is: 0.80721
2021-03-26 23:54:43,011 - Model - INFO - Best inctance avg mIOU is: 0.84159
2021-03-26 23:54:43,011 - Model - INFO - Epoch 24 (24/251):
2021-03-26 23:54:43,011 - Model - INFO - Learning rate:0.000500
2021-03-27 00:01:27,847 - Model - INFO - Train accuracy is: 0.94435
2021-03-27 00:02:37,858 - Model - INFO - eval mIoU of Airplane       0.806904
2021-03-27 00:02:37,859 - Model - INFO - eval mIoU of Bag            0.764344
2021-03-27 00:02:37,859 - Model - INFO - eval mIoU of Cap            0.800139
2021-03-27 00:02:37,859 - Model - INFO - eval mIoU of Car            0.736278
2021-03-27 00:02:37,859 - Model - INFO - eval mIoU of Chair          0.896805
2021-03-27 00:02:37,859 - Model - INFO - eval mIoU of Earphone       0.769565
2021-03-27 00:02:37,859 - Model - INFO - eval mIoU of Guitar         0.904448
2021-03-27 00:02:37,859 - Model - INFO - eval mIoU of Knife          0.860830
2021-03-27 00:02:37,859 - Model - INFO - eval mIoU of Lamp           0.847030
2021-03-27 00:02:37,859 - Model - INFO - eval mIoU of Laptop         0.956625
2021-03-27 00:02:37,859 - Model - INFO - eval mIoU of Motorbike      0.570826
2021-03-27 00:02:37,859 - Model - INFO - eval mIoU of Mug            0.940232
2021-03-27 00:02:37,859 - Model - INFO - eval mIoU of Pistol         0.774724
2021-03-27 00:02:37,859 - Model - INFO - eval mIoU of Rocket         0.607698
2021-03-27 00:02:37,859 - Model - INFO - eval mIoU of Skateboard     0.757068
2021-03-27 00:02:37,859 - Model - INFO - eval mIoU of Table          0.813970
2021-03-27 00:02:37,860 - Model - INFO - Epoch 24 test Accuracy: 0.937872  Class avg mIOU: 0.800468   Inctance avg mIOU: 0.837639
2021-03-27 00:02:37,860 - Model - INFO - Best accuracy is: 0.93920
2021-03-27 00:02:37,860 - Model - INFO - Best class avg mIOU is: 0.80721
2021-03-27 00:02:37,860 - Model - INFO - Best inctance avg mIOU is: 0.84159
2021-03-27 00:02:37,860 - Model - INFO - Epoch 25 (25/251):
2021-03-27 00:02:37,860 - Model - INFO - Learning rate:0.000500
2021-03-27 00:09:24,717 - Model - INFO - Train accuracy is: 0.94469
2021-03-27 00:10:31,637 - Model - INFO - eval mIoU of Airplane       0.804579
2021-03-27 00:10:31,637 - Model - INFO - eval mIoU of Bag            0.806638
2021-03-27 00:10:31,637 - Model - INFO - eval mIoU of Cap            0.822264
2021-03-27 00:10:31,637 - Model - INFO - eval mIoU of Car            0.751994
2021-03-27 00:10:31,637 - Model - INFO - eval mIoU of Chair          0.896107
2021-03-27 00:10:31,637 - Model - INFO - eval mIoU of Earphone       0.763699
2021-03-27 00:10:31,637 - Model - INFO - eval mIoU of Guitar         0.898710
2021-03-27 00:10:31,637 - Model - INFO - eval mIoU of Knife          0.855353
2021-03-27 00:10:31,637 - Model - INFO - eval mIoU of Lamp           0.842790
2021-03-27 00:10:31,637 - Model - INFO - eval mIoU of Laptop         0.956830
2021-03-27 00:10:31,638 - Model - INFO - eval mIoU of Motorbike      0.602590
2021-03-27 00:10:31,638 - Model - INFO - eval mIoU of Mug            0.945149
2021-03-27 00:10:31,638 - Model - INFO - eval mIoU of Pistol         0.770214
2021-03-27 00:10:31,638 - Model - INFO - eval mIoU of Rocket         0.469070
2021-03-27 00:10:31,638 - Model - INFO - eval mIoU of Skateboard     0.750551
2021-03-27 00:10:31,638 - Model - INFO - eval mIoU of Table          0.819657
2021-03-27 00:10:31,638 - Model - INFO - Epoch 25 test Accuracy: 0.938350  Class avg mIOU: 0.797262   Inctance avg mIOU: 0.839021
2021-03-27 00:10:31,638 - Model - INFO - Best accuracy is: 0.93920
2021-03-27 00:10:31,638 - Model - INFO - Best class avg mIOU is: 0.80721
2021-03-27 00:10:31,638 - Model - INFO - Best inctance avg mIOU is: 0.84159
2021-03-27 00:10:31,638 - Model - INFO - Epoch 26 (26/251):
2021-03-27 00:10:31,639 - Model - INFO - Learning rate:0.000500
2021-03-27 00:17:14,095 - Model - INFO - Train accuracy is: 0.94452
2021-03-27 00:18:22,345 - Model - INFO - eval mIoU of Airplane       0.801226
2021-03-27 00:18:22,345 - Model - INFO - eval mIoU of Bag            0.788146
2021-03-27 00:18:22,345 - Model - INFO - eval mIoU of Cap            0.834765
2021-03-27 00:18:22,345 - Model - INFO - eval mIoU of Car            0.725625
2021-03-27 00:18:22,345 - Model - INFO - eval mIoU of Chair          0.899579
2021-03-27 00:18:22,345 - Model - INFO - eval mIoU of Earphone       0.738476
2021-03-27 00:18:22,345 - Model - INFO - eval mIoU of Guitar         0.900899
2021-03-27 00:18:22,345 - Model - INFO - eval mIoU of Knife          0.833697
2021-03-27 00:18:22,345 - Model - INFO - eval mIoU of Lamp           0.810980
2021-03-27 00:18:22,346 - Model - INFO - eval mIoU of Laptop         0.955883
2021-03-27 00:18:22,346 - Model - INFO - eval mIoU of Motorbike      0.624355
2021-03-27 00:18:22,346 - Model - INFO - eval mIoU of Mug            0.947317
2021-03-27 00:18:22,346 - Model - INFO - eval mIoU of Pistol         0.798453
2021-03-27 00:18:22,346 - Model - INFO - eval mIoU of Rocket         0.508646
2021-03-27 00:18:22,346 - Model - INFO - eval mIoU of Skateboard     0.753172
2021-03-27 00:18:22,346 - Model - INFO - eval mIoU of Table          0.791889
2021-03-27 00:18:22,346 - Model - INFO - Epoch 26 test Accuracy: 0.934710  Class avg mIOU: 0.794569   Inctance avg mIOU: 0.827032
2021-03-27 00:18:22,346 - Model - INFO - Best accuracy is: 0.93920
2021-03-27 00:18:22,346 - Model - INFO - Best class avg mIOU is: 0.80721
2021-03-27 00:18:22,347 - Model - INFO - Best inctance avg mIOU is: 0.84159
2021-03-27 00:18:22,347 - Model - INFO - Epoch 27 (27/251):
2021-03-27 00:18:22,347 - Model - INFO - Learning rate:0.000500
2021-03-27 00:25:08,293 - Model - INFO - Train accuracy is: 0.94486
2021-03-27 00:26:16,124 - Model - INFO - eval mIoU of Airplane       0.812115
2021-03-27 00:26:16,124 - Model - INFO - eval mIoU of Bag            0.792955
2021-03-27 00:26:16,124 - Model - INFO - eval mIoU of Cap            0.792855
2021-03-27 00:26:16,125 - Model - INFO - eval mIoU of Car            0.743594
2021-03-27 00:26:16,125 - Model - INFO - eval mIoU of Chair          0.905744
2021-03-27 00:26:16,125 - Model - INFO - eval mIoU of Earphone       0.721517
2021-03-27 00:26:16,125 - Model - INFO - eval mIoU of Guitar         0.894727
2021-03-27 00:26:16,125 - Model - INFO - eval mIoU of Knife          0.860278
2021-03-27 00:26:16,125 - Model - INFO - eval mIoU of Lamp           0.831319
2021-03-27 00:26:16,125 - Model - INFO - eval mIoU of Laptop         0.954302
2021-03-27 00:26:16,125 - Model - INFO - eval mIoU of Motorbike      0.613555
2021-03-27 00:26:16,125 - Model - INFO - eval mIoU of Mug            0.949981
2021-03-27 00:26:16,125 - Model - INFO - eval mIoU of Pistol         0.816691
2021-03-27 00:26:16,125 - Model - INFO - eval mIoU of Rocket         0.532703
2021-03-27 00:26:16,125 - Model - INFO - eval mIoU of Skateboard     0.699067
2021-03-27 00:26:16,125 - Model - INFO - eval mIoU of Table          0.817567
2021-03-27 00:26:16,126 - Model - INFO - Epoch 27 test Accuracy: 0.938742  Class avg mIOU: 0.796186   Inctance avg mIOU: 0.840195
2021-03-27 00:26:16,126 - Model - INFO - Best accuracy is: 0.93920
2021-03-27 00:26:16,126 - Model - INFO - Best class avg mIOU is: 0.80721
2021-03-27 00:26:16,126 - Model - INFO - Best inctance avg mIOU is: 0.84159
2021-03-27 00:26:16,126 - Model - INFO - Epoch 28 (28/251):
2021-03-27 00:26:16,126 - Model - INFO - Learning rate:0.000500
2021-03-27 00:32:58,886 - Model - INFO - Train accuracy is: 0.94503
2021-03-27 00:34:04,538 - Model - INFO - eval mIoU of Airplane       0.797483
2021-03-27 00:34:04,538 - Model - INFO - eval mIoU of Bag            0.800243
2021-03-27 00:34:04,538 - Model - INFO - eval mIoU of Cap            0.846298
2021-03-27 00:34:04,538 - Model - INFO - eval mIoU of Car            0.761818
2021-03-27 00:34:04,538 - Model - INFO - eval mIoU of Chair          0.881875
2021-03-27 00:34:04,538 - Model - INFO - eval mIoU of Earphone       0.759474
2021-03-27 00:34:04,538 - Model - INFO - eval mIoU of Guitar         0.903232
2021-03-27 00:34:04,538 - Model - INFO - eval mIoU of Knife          0.855200
2021-03-27 00:34:04,538 - Model - INFO - eval mIoU of Lamp           0.840353
2021-03-27 00:34:04,538 - Model - INFO - eval mIoU of Laptop         0.950923
2021-03-27 00:34:04,539 - Model - INFO - eval mIoU of Motorbike      0.665455
2021-03-27 00:34:04,539 - Model - INFO - eval mIoU of Mug            0.936860
2021-03-27 00:34:04,539 - Model - INFO - eval mIoU of Pistol         0.796460
2021-03-27 00:34:04,539 - Model - INFO - eval mIoU of Rocket         0.468601
2021-03-27 00:34:04,539 - Model - INFO - eval mIoU of Skateboard     0.756046
2021-03-27 00:34:04,539 - Model - INFO - eval mIoU of Table          0.816911
2021-03-27 00:34:04,539 - Model - INFO - Epoch 28 test Accuracy: 0.938027  Class avg mIOU: 0.802327   Inctance avg mIOU: 0.835760
2021-03-27 00:34:04,539 - Model - INFO - Best accuracy is: 0.93920
2021-03-27 00:34:04,539 - Model - INFO - Best class avg mIOU is: 0.80721
2021-03-27 00:34:04,539 - Model - INFO - Best inctance avg mIOU is: 0.84159
2021-03-27 00:34:04,539 - Model - INFO - Epoch 29 (29/251):
2021-03-27 00:34:04,539 - Model - INFO - Learning rate:0.000500
2021-03-27 00:40:45,049 - Model - INFO - Train accuracy is: 0.94510
2021-03-27 00:41:53,353 - Model - INFO - eval mIoU of Airplane       0.807367
2021-03-27 00:41:53,354 - Model - INFO - eval mIoU of Bag            0.799440
2021-03-27 00:41:53,354 - Model - INFO - eval mIoU of Cap            0.820698
2021-03-27 00:41:53,354 - Model - INFO - eval mIoU of Car            0.721446
2021-03-27 00:41:53,354 - Model - INFO - eval mIoU of Chair          0.889899
2021-03-27 00:41:53,354 - Model - INFO - eval mIoU of Earphone       0.713681
2021-03-27 00:41:53,354 - Model - INFO - eval mIoU of Guitar         0.906747
2021-03-27 00:41:53,354 - Model - INFO - eval mIoU of Knife          0.868561
2021-03-27 00:41:53,354 - Model - INFO - eval mIoU of Lamp           0.838945
2021-03-27 00:41:53,354 - Model - INFO - eval mIoU of Laptop         0.955484
2021-03-27 00:41:53,354 - Model - INFO - eval mIoU of Motorbike      0.634822
2021-03-27 00:41:53,354 - Model - INFO - eval mIoU of Mug            0.943815
2021-03-27 00:41:53,354 - Model - INFO - eval mIoU of Pistol         0.818801
2021-03-27 00:41:53,354 - Model - INFO - eval mIoU of Rocket         0.582284
2021-03-27 00:41:53,354 - Model - INFO - eval mIoU of Skateboard     0.750443
2021-03-27 00:41:53,354 - Model - INFO - eval mIoU of Table          0.819915
2021-03-27 00:41:53,354 - Model - INFO - Epoch 29 test Accuracy: 0.937821  Class avg mIOU: 0.804522   Inctance avg mIOU: 0.838103
2021-03-27 00:41:53,354 - Model - INFO - Best accuracy is: 0.93920
2021-03-27 00:41:53,355 - Model - INFO - Best class avg mIOU is: 0.80721
2021-03-27 00:41:53,355 - Model - INFO - Best inctance avg mIOU is: 0.84159
2021-03-27 00:41:53,355 - Model - INFO - Epoch 30 (30/251):
2021-03-27 00:41:53,355 - Model - INFO - Learning rate:0.000500
2021-03-27 00:48:33,854 - Model - INFO - Train accuracy is: 0.94536
2021-03-27 00:49:43,380 - Model - INFO - eval mIoU of Airplane       0.813513
2021-03-27 00:49:43,380 - Model - INFO - eval mIoU of Bag            0.759207
2021-03-27 00:49:43,381 - Model - INFO - eval mIoU of Cap            0.675399
2021-03-27 00:49:43,381 - Model - INFO - eval mIoU of Car            0.763064
2021-03-27 00:49:43,381 - Model - INFO - eval mIoU of Chair          0.890880
2021-03-27 00:49:43,381 - Model - INFO - eval mIoU of Earphone       0.723590
2021-03-27 00:49:43,381 - Model - INFO - eval mIoU of Guitar         0.870870
2021-03-27 00:49:43,381 - Model - INFO - eval mIoU of Knife          0.845272
2021-03-27 00:49:43,381 - Model - INFO - eval mIoU of Lamp           0.844336
2021-03-27 00:49:43,381 - Model - INFO - eval mIoU of Laptop         0.953989
2021-03-27 00:49:43,381 - Model - INFO - eval mIoU of Motorbike      0.575322
2021-03-27 00:49:43,381 - Model - INFO - eval mIoU of Mug            0.945457
2021-03-27 00:49:43,381 - Model - INFO - eval mIoU of Pistol         0.827442
2021-03-27 00:49:43,381 - Model - INFO - eval mIoU of Rocket         0.635665
2021-03-27 00:49:43,381 - Model - INFO - eval mIoU of Skateboard     0.749736
2021-03-27 00:49:43,381 - Model - INFO - eval mIoU of Table          0.820511
2021-03-27 00:49:43,382 - Model - INFO - Epoch 30 test Accuracy: 0.938310  Class avg mIOU: 0.793391   Inctance avg mIOU: 0.838007
2021-03-27 00:49:43,382 - Model - INFO - Best accuracy is: 0.93920
2021-03-27 00:49:43,382 - Model - INFO - Best class avg mIOU is: 0.80721
2021-03-27 00:49:43,382 - Model - INFO - Best inctance avg mIOU is: 0.84159
2021-03-27 00:49:43,382 - Model - INFO - Epoch 31 (31/251):
2021-03-27 00:49:43,382 - Model - INFO - Learning rate:0.000500
2021-03-27 00:56:19,506 - Model - INFO - Train accuracy is: 0.94538
2021-03-27 00:57:28,064 - Model - INFO - eval mIoU of Airplane       0.812283
2021-03-27 00:57:28,065 - Model - INFO - eval mIoU of Bag            0.774895
2021-03-27 00:57:28,065 - Model - INFO - eval mIoU of Cap            0.822541
2021-03-27 00:57:28,065 - Model - INFO - eval mIoU of Car            0.758625
2021-03-27 00:57:28,065 - Model - INFO - eval mIoU of Chair          0.895457
2021-03-27 00:57:28,065 - Model - INFO - eval mIoU of Earphone       0.723497
2021-03-27 00:57:28,066 - Model - INFO - eval mIoU of Guitar         0.901239
2021-03-27 00:57:28,066 - Model - INFO - eval mIoU of Knife          0.860929
2021-03-27 00:57:28,066 - Model - INFO - eval mIoU of Lamp           0.836173
2021-03-27 00:57:28,066 - Model - INFO - eval mIoU of Laptop         0.946892
2021-03-27 00:57:28,066 - Model - INFO - eval mIoU of Motorbike      0.510167
2021-03-27 00:57:28,066 - Model - INFO - eval mIoU of Mug            0.936977
2021-03-27 00:57:28,066 - Model - INFO - eval mIoU of Pistol         0.749348
2021-03-27 00:57:28,066 - Model - INFO - eval mIoU of Rocket         0.573592
2021-03-27 00:57:28,066 - Model - INFO - eval mIoU of Skateboard     0.746952
2021-03-27 00:57:28,066 - Model - INFO - eval mIoU of Table          0.816704
2021-03-27 00:57:28,066 - Model - INFO - Epoch 31 test Accuracy: 0.933956  Class avg mIOU: 0.791642   Inctance avg mIOU: 0.836599
2021-03-27 00:57:28,066 - Model - INFO - Best accuracy is: 0.93920
2021-03-27 00:57:28,067 - Model - INFO - Best class avg mIOU is: 0.80721
2021-03-27 00:57:28,067 - Model - INFO - Best inctance avg mIOU is: 0.84159
2021-03-27 00:57:28,067 - Model - INFO - Epoch 32 (32/251):
2021-03-27 00:57:28,067 - Model - INFO - Learning rate:0.000500
2021-03-27 01:04:16,870 - Model - INFO - Train accuracy is: 0.94518
2021-03-27 01:05:24,969 - Model - INFO - eval mIoU of Airplane       0.807495
2021-03-27 01:05:24,969 - Model - INFO - eval mIoU of Bag            0.705619
2021-03-27 01:05:24,969 - Model - INFO - eval mIoU of Cap            0.806371
2021-03-27 01:05:24,969 - Model - INFO - eval mIoU of Car            0.740795
2021-03-27 01:05:24,969 - Model - INFO - eval mIoU of Chair          0.893921
2021-03-27 01:05:24,970 - Model - INFO - eval mIoU of Earphone       0.723740
2021-03-27 01:05:24,970 - Model - INFO - eval mIoU of Guitar         0.905550
2021-03-27 01:05:24,970 - Model - INFO - eval mIoU of Knife          0.831842
2021-03-27 01:05:24,970 - Model - INFO - eval mIoU of Lamp           0.823613
2021-03-27 01:05:24,970 - Model - INFO - eval mIoU of Laptop         0.950212
2021-03-27 01:05:24,970 - Model - INFO - eval mIoU of Motorbike      0.561767
2021-03-27 01:05:24,970 - Model - INFO - eval mIoU of Mug            0.929106
2021-03-27 01:05:24,970 - Model - INFO - eval mIoU of Pistol         0.784318
2021-03-27 01:05:24,970 - Model - INFO - eval mIoU of Rocket         0.572040
2021-03-27 01:05:24,970 - Model - INFO - eval mIoU of Skateboard     0.757138
2021-03-27 01:05:24,970 - Model - INFO - eval mIoU of Table          0.802427
2021-03-27 01:05:24,970 - Model - INFO - Epoch 32 test Accuracy: 0.935617  Class avg mIOU: 0.787247   Inctance avg mIOU: 0.829789
2021-03-27 01:05:24,970 - Model - INFO - Best accuracy is: 0.93920
2021-03-27 01:05:24,970 - Model - INFO - Best class avg mIOU is: 0.80721
2021-03-27 01:05:24,970 - Model - INFO - Best inctance avg mIOU is: 0.84159
2021-03-27 01:05:24,971 - Model - INFO - Epoch 33 (33/251):
2021-03-27 01:05:24,971 - Model - INFO - Learning rate:0.000500
2021-03-27 01:12:06,331 - Model - INFO - Train accuracy is: 0.94543
2021-03-27 01:13:12,697 - Model - INFO - eval mIoU of Airplane       0.796503
2021-03-27 01:13:12,697 - Model - INFO - eval mIoU of Bag            0.799226
2021-03-27 01:13:12,697 - Model - INFO - eval mIoU of Cap            0.846912
2021-03-27 01:13:12,697 - Model - INFO - eval mIoU of Car            0.750073
2021-03-27 01:13:12,697 - Model - INFO - eval mIoU of Chair          0.892912
2021-03-27 01:13:12,697 - Model - INFO - eval mIoU of Earphone       0.777173
2021-03-27 01:13:12,697 - Model - INFO - eval mIoU of Guitar         0.900542
2021-03-27 01:13:12,697 - Model - INFO - eval mIoU of Knife          0.847073
2021-03-27 01:13:12,698 - Model - INFO - eval mIoU of Lamp           0.833675
2021-03-27 01:13:12,698 - Model - INFO - eval mIoU of Laptop         0.955616
2021-03-27 01:13:12,698 - Model - INFO - eval mIoU of Motorbike      0.500947
2021-03-27 01:13:12,698 - Model - INFO - eval mIoU of Mug            0.944444
2021-03-27 01:13:12,698 - Model - INFO - eval mIoU of Pistol         0.740599
2021-03-27 01:13:12,698 - Model - INFO - eval mIoU of Rocket         0.541039
2021-03-27 01:13:12,698 - Model - INFO - eval mIoU of Skateboard     0.751504
2021-03-27 01:13:12,698 - Model - INFO - eval mIoU of Table          0.808828
2021-03-27 01:13:12,698 - Model - INFO - Epoch 33 test Accuracy: 0.934683  Class avg mIOU: 0.792942   Inctance avg mIOU: 0.831076
2021-03-27 01:13:12,699 - Model - INFO - Best accuracy is: 0.93920
2021-03-27 01:13:12,699 - Model - INFO - Best class avg mIOU is: 0.80721
2021-03-27 01:13:12,699 - Model - INFO - Best inctance avg mIOU is: 0.84159
2021-03-27 01:13:12,699 - Model - INFO - Epoch 34 (34/251):
2021-03-27 01:13:12,699 - Model - INFO - Learning rate:0.000500
2021-03-27 01:19:53,978 - Model - INFO - Train accuracy is: 0.94635
2021-03-27 01:21:03,018 - Model - INFO - eval mIoU of Airplane       0.809990
2021-03-27 01:21:03,018 - Model - INFO - eval mIoU of Bag            0.791515
2021-03-27 01:21:03,018 - Model - INFO - eval mIoU of Cap            0.818957
2021-03-27 01:21:03,018 - Model - INFO - eval mIoU of Car            0.714866
2021-03-27 01:21:03,018 - Model - INFO - eval mIoU of Chair          0.895067
2021-03-27 01:21:03,018 - Model - INFO - eval mIoU of Earphone       0.671363
2021-03-27 01:21:03,018 - Model - INFO - eval mIoU of Guitar         0.900369
2021-03-27 01:21:03,018 - Model - INFO - eval mIoU of Knife          0.847954
2021-03-27 01:21:03,018 - Model - INFO - eval mIoU of Lamp           0.844403
2021-03-27 01:21:03,018 - Model - INFO - eval mIoU of Laptop         0.952860
2021-03-27 01:21:03,018 - Model - INFO - eval mIoU of Motorbike      0.611205
2021-03-27 01:21:03,018 - Model - INFO - eval mIoU of Mug            0.947124
2021-03-27 01:21:03,018 - Model - INFO - eval mIoU of Pistol         0.822623
2021-03-27 01:21:03,019 - Model - INFO - eval mIoU of Rocket         0.605266
2021-03-27 01:21:03,019 - Model - INFO - eval mIoU of Skateboard     0.755757
2021-03-27 01:21:03,019 - Model - INFO - eval mIoU of Table          0.818699
2021-03-27 01:21:03,019 - Model - INFO - Epoch 34 test Accuracy: 0.935844  Class avg mIOU: 0.800501   Inctance avg mIOU: 0.838086
2021-03-27 01:21:03,019 - Model - INFO - Best accuracy is: 0.93920
2021-03-27 01:21:03,019 - Model - INFO - Best class avg mIOU is: 0.80721
2021-03-27 01:21:03,019 - Model - INFO - Best inctance avg mIOU is: 0.84159
2021-03-27 01:21:03,019 - Model - INFO - Epoch 35 (35/251):
2021-03-27 01:21:03,019 - Model - INFO - Learning rate:0.000500
2021-03-27 01:27:54,227 - Model - INFO - Train accuracy is: 0.94562
2021-03-27 01:29:02,597 - Model - INFO - eval mIoU of Airplane       0.781260
2021-03-27 01:29:02,598 - Model - INFO - eval mIoU of Bag            0.661572
2021-03-27 01:29:02,598 - Model - INFO - eval mIoU of Cap            0.798461
2021-03-27 01:29:02,598 - Model - INFO - eval mIoU of Car            0.749360
2021-03-27 01:29:02,598 - Model - INFO - eval mIoU of Chair          0.895714
2021-03-27 01:29:02,598 - Model - INFO - eval mIoU of Earphone       0.709717
2021-03-27 01:29:02,598 - Model - INFO - eval mIoU of Guitar         0.895970
2021-03-27 01:29:02,598 - Model - INFO - eval mIoU of Knife          0.862867
2021-03-27 01:29:02,598 - Model - INFO - eval mIoU of Lamp           0.827342
2021-03-27 01:29:02,598 - Model - INFO - eval mIoU of Laptop         0.952386
2021-03-27 01:29:02,598 - Model - INFO - eval mIoU of Motorbike      0.579470
2021-03-27 01:29:02,598 - Model - INFO - eval mIoU of Mug            0.937700
2021-03-27 01:29:02,598 - Model - INFO - eval mIoU of Pistol         0.805464
2021-03-27 01:29:02,598 - Model - INFO - eval mIoU of Rocket         0.626817
2021-03-27 01:29:02,598 - Model - INFO - eval mIoU of Skateboard     0.739239
2021-03-27 01:29:02,598 - Model - INFO - eval mIoU of Table          0.806987
2021-03-27 01:29:02,599 - Model - INFO - Epoch 35 test Accuracy: 0.935815  Class avg mIOU: 0.789395   Inctance avg mIOU: 0.830173
2021-03-27 01:29:02,599 - Model - INFO - Best accuracy is: 0.93920
2021-03-27 01:29:02,599 - Model - INFO - Best class avg mIOU is: 0.80721
2021-03-27 01:29:02,599 - Model - INFO - Best inctance avg mIOU is: 0.84159
2021-03-27 01:29:02,599 - Model - INFO - Epoch 36 (36/251):
2021-03-27 01:29:02,599 - Model - INFO - Learning rate:0.000500
2021-03-27 01:35:39,548 - Model - INFO - Train accuracy is: 0.94566
2021-03-27 01:36:45,608 - Model - INFO - eval mIoU of Airplane       0.815976
2021-03-27 01:36:45,608 - Model - INFO - eval mIoU of Bag            0.791000
2021-03-27 01:36:45,608 - Model - INFO - eval mIoU of Cap            0.849048
2021-03-27 01:36:45,608 - Model - INFO - eval mIoU of Car            0.743936
2021-03-27 01:36:45,608 - Model - INFO - eval mIoU of Chair          0.897693
2021-03-27 01:36:45,608 - Model - INFO - eval mIoU of Earphone       0.723625
2021-03-27 01:36:45,608 - Model - INFO - eval mIoU of Guitar         0.903431
2021-03-27 01:36:45,608 - Model - INFO - eval mIoU of Knife          0.862657
2021-03-27 01:36:45,608 - Model - INFO - eval mIoU of Lamp           0.837746
2021-03-27 01:36:45,608 - Model - INFO - eval mIoU of Laptop         0.948329
2021-03-27 01:36:45,608 - Model - INFO - eval mIoU of Motorbike      0.679649
2021-03-27 01:36:45,608 - Model - INFO - eval mIoU of Mug            0.935220
2021-03-27 01:36:45,608 - Model - INFO - eval mIoU of Pistol         0.780797
2021-03-27 01:36:45,609 - Model - INFO - eval mIoU of Rocket         0.500828
2021-03-27 01:36:45,609 - Model - INFO - eval mIoU of Skateboard     0.725566
2021-03-27 01:36:45,609 - Model - INFO - eval mIoU of Table          0.815927
2021-03-27 01:36:45,609 - Model - INFO - Epoch 36 test Accuracy: 0.938850  Class avg mIOU: 0.800714   Inctance avg mIOU: 0.840028
2021-03-27 01:36:45,609 - Model - INFO - Best accuracy is: 0.93920
2021-03-27 01:36:45,609 - Model - INFO - Best class avg mIOU is: 0.80721
2021-03-27 01:36:45,609 - Model - INFO - Best inctance avg mIOU is: 0.84159
2021-03-27 01:36:45,609 - Model - INFO - Epoch 37 (37/251):
2021-03-27 01:36:45,609 - Model - INFO - Learning rate:0.000500
2021-03-27 01:43:33,517 - Model - INFO - Train accuracy is: 0.94601
2021-03-27 01:44:40,608 - Model - INFO - eval mIoU of Airplane       0.778547
2021-03-27 01:44:40,608 - Model - INFO - eval mIoU of Bag            0.778884
2021-03-27 01:44:40,608 - Model - INFO - eval mIoU of Cap            0.834475
2021-03-27 01:44:40,608 - Model - INFO - eval mIoU of Car            0.732402
2021-03-27 01:44:40,608 - Model - INFO - eval mIoU of Chair          0.898035
2021-03-27 01:44:40,608 - Model - INFO - eval mIoU of Earphone       0.672523
2021-03-27 01:44:40,608 - Model - INFO - eval mIoU of Guitar         0.905898
2021-03-27 01:44:40,608 - Model - INFO - eval mIoU of Knife          0.864011
2021-03-27 01:44:40,608 - Model - INFO - eval mIoU of Lamp           0.843097
2021-03-27 01:44:40,608 - Model - INFO - eval mIoU of Laptop         0.953997
2021-03-27 01:44:40,609 - Model - INFO - eval mIoU of Motorbike      0.615982
2021-03-27 01:44:40,609 - Model - INFO - eval mIoU of Mug            0.936831
2021-03-27 01:44:40,609 - Model - INFO - eval mIoU of Pistol         0.813216
2021-03-27 01:44:40,609 - Model - INFO - eval mIoU of Rocket         0.515677
2021-03-27 01:44:40,609 - Model - INFO - eval mIoU of Skateboard     0.740718
2021-03-27 01:44:40,609 - Model - INFO - eval mIoU of Table          0.822946
2021-03-27 01:44:40,609 - Model - INFO - Epoch 37 test Accuracy: 0.937556  Class avg mIOU: 0.794202   Inctance avg mIOU: 0.837227
2021-03-27 01:44:40,609 - Model - INFO - Best accuracy is: 0.93920
2021-03-27 01:44:40,609 - Model - INFO - Best class avg mIOU is: 0.80721
2021-03-27 01:44:40,609 - Model - INFO - Best inctance avg mIOU is: 0.84159
2021-03-27 01:44:40,609 - Model - INFO - Epoch 38 (38/251):
2021-03-27 01:44:40,609 - Model - INFO - Learning rate:0.000500
2021-03-27 01:51:23,688 - Model - INFO - Train accuracy is: 0.94611
2021-03-27 01:52:30,801 - Model - INFO - eval mIoU of Airplane       0.808472
2021-03-27 01:52:30,801 - Model - INFO - eval mIoU of Bag            0.697186
2021-03-27 01:52:30,801 - Model - INFO - eval mIoU of Cap            0.856952
2021-03-27 01:52:30,801 - Model - INFO - eval mIoU of Car            0.764632
2021-03-27 01:52:30,801 - Model - INFO - eval mIoU of Chair          0.895355
2021-03-27 01:52:30,801 - Model - INFO - eval mIoU of Earphone       0.731850
2021-03-27 01:52:30,802 - Model - INFO - eval mIoU of Guitar         0.904261
2021-03-27 01:52:30,802 - Model - INFO - eval mIoU of Knife          0.858945
2021-03-27 01:52:30,802 - Model - INFO - eval mIoU of Lamp           0.838038
2021-03-27 01:52:30,802 - Model - INFO - eval mIoU of Laptop         0.954941
2021-03-27 01:52:30,802 - Model - INFO - eval mIoU of Motorbike      0.609232
2021-03-27 01:52:30,802 - Model - INFO - eval mIoU of Mug            0.942049
2021-03-27 01:52:30,802 - Model - INFO - eval mIoU of Pistol         0.779493
2021-03-27 01:52:30,802 - Model - INFO - eval mIoU of Rocket         0.571687
2021-03-27 01:52:30,802 - Model - INFO - eval mIoU of Skateboard     0.739577
2021-03-27 01:52:30,802 - Model - INFO - eval mIoU of Table          0.825189
2021-03-27 01:52:30,802 - Model - INFO - Epoch 38 test Accuracy: 0.939396  Class avg mIOU: 0.798616   Inctance avg mIOU: 0.841479
2021-03-27 01:52:30,802 - Model - INFO - Best accuracy is: 0.93940
2021-03-27 01:52:30,802 - Model - INFO - Best class avg mIOU is: 0.80721
2021-03-27 01:52:30,802 - Model - INFO - Best inctance avg mIOU is: 0.84159
2021-03-27 01:52:30,803 - Model - INFO - Epoch 39 (39/251):
2021-03-27 01:52:30,803 - Model - INFO - Learning rate:0.000500
2021-03-27 01:59:13,426 - Model - INFO - Train accuracy is: 0.94614
2021-03-27 02:00:21,667 - Model - INFO - eval mIoU of Airplane       0.790163
2021-03-27 02:00:21,667 - Model - INFO - eval mIoU of Bag            0.788820
2021-03-27 02:00:21,667 - Model - INFO - eval mIoU of Cap            0.749452
2021-03-27 02:00:21,667 - Model - INFO - eval mIoU of Car            0.755786
2021-03-27 02:00:21,667 - Model - INFO - eval mIoU of Chair          0.893232
2021-03-27 02:00:21,667 - Model - INFO - eval mIoU of Earphone       0.741711
2021-03-27 02:00:21,667 - Model - INFO - eval mIoU of Guitar         0.904971
2021-03-27 02:00:21,667 - Model - INFO - eval mIoU of Knife          0.856376
2021-03-27 02:00:21,667 - Model - INFO - eval mIoU of Lamp           0.843584
2021-03-27 02:00:21,668 - Model - INFO - eval mIoU of Laptop         0.954127
2021-03-27 02:00:21,668 - Model - INFO - eval mIoU of Motorbike      0.655952
2021-03-27 02:00:21,668 - Model - INFO - eval mIoU of Mug            0.935363
2021-03-27 02:00:21,668 - Model - INFO - eval mIoU of Pistol         0.793638
2021-03-27 02:00:21,668 - Model - INFO - eval mIoU of Rocket         0.485712
2021-03-27 02:00:21,668 - Model - INFO - eval mIoU of Skateboard     0.736825
2021-03-27 02:00:21,668 - Model - INFO - eval mIoU of Table          0.820574
2021-03-27 02:00:21,668 - Model - INFO - Epoch 39 test Accuracy: 0.939107  Class avg mIOU: 0.794143   Inctance avg mIOU: 0.838086
2021-03-27 02:00:21,668 - Model - INFO - Best accuracy is: 0.93940
2021-03-27 02:00:21,669 - Model - INFO - Best class avg mIOU is: 0.80721
2021-03-27 02:00:21,669 - Model - INFO - Best inctance avg mIOU is: 0.84159
2021-03-27 02:00:21,669 - Model - INFO - Epoch 40 (40/251):
2021-03-27 02:00:21,669 - Model - INFO - Learning rate:0.000500
2021-03-27 02:07:02,765 - Model - INFO - Train accuracy is: 0.94611
2021-03-27 02:08:08,987 - Model - INFO - eval mIoU of Airplane       0.814541
2021-03-27 02:08:08,988 - Model - INFO - eval mIoU of Bag            0.753269
2021-03-27 02:08:08,988 - Model - INFO - eval mIoU of Cap            0.830367
2021-03-27 02:08:08,988 - Model - INFO - eval mIoU of Car            0.748879
2021-03-27 02:08:08,988 - Model - INFO - eval mIoU of Chair          0.901715
2021-03-27 02:08:08,988 - Model - INFO - eval mIoU of Earphone       0.683699
2021-03-27 02:08:08,988 - Model - INFO - eval mIoU of Guitar         0.895664
2021-03-27 02:08:08,988 - Model - INFO - eval mIoU of Knife          0.860787
2021-03-27 02:08:08,988 - Model - INFO - eval mIoU of Lamp           0.841572
2021-03-27 02:08:08,988 - Model - INFO - eval mIoU of Laptop         0.955296
2021-03-27 02:08:08,988 - Model - INFO - eval mIoU of Motorbike      0.624389
2021-03-27 02:08:08,988 - Model - INFO - eval mIoU of Mug            0.917507
2021-03-27 02:08:08,988 - Model - INFO - eval mIoU of Pistol         0.804190
2021-03-27 02:08:08,988 - Model - INFO - eval mIoU of Rocket         0.573615
2021-03-27 02:08:08,988 - Model - INFO - eval mIoU of Skateboard     0.748946
2021-03-27 02:08:08,988 - Model - INFO - eval mIoU of Table          0.820308
2021-03-27 02:08:08,989 - Model - INFO - Epoch 40 test Accuracy: 0.938602  Class avg mIOU: 0.798422   Inctance avg mIOU: 0.841757
2021-03-27 02:08:08,989 - Model - INFO - Save model...
2021-03-27 02:08:08,989 - Model - INFO - Saving at log/part_seg/pointnet2_part_seg_msg/checkpoints/best_model.pth
2021-03-27 02:08:09,085 - Model - INFO - Saving model....
2021-03-27 02:08:09,085 - Model - INFO - Best accuracy is: 0.93940
2021-03-27 02:08:09,085 - Model - INFO - Best class avg mIOU is: 0.80721
2021-03-27 02:08:09,085 - Model - INFO - Best inctance avg mIOU is: 0.84176
2021-03-27 02:08:09,085 - Model - INFO - Epoch 41 (41/251):
2021-03-27 02:08:09,085 - Model - INFO - Learning rate:0.000250
2021-03-27 02:14:49,084 - Model - INFO - Train accuracy is: 0.94866
2021-03-27 02:15:57,642 - Model - INFO - eval mIoU of Airplane       0.802929
2021-03-27 02:15:57,642 - Model - INFO - eval mIoU of Bag            0.786436
2021-03-27 02:15:57,642 - Model - INFO - eval mIoU of Cap            0.848500
2021-03-27 02:15:57,642 - Model - INFO - eval mIoU of Car            0.759065
2021-03-27 02:15:57,642 - Model - INFO - eval mIoU of Chair          0.900716
2021-03-27 02:15:57,642 - Model - INFO - eval mIoU of Earphone       0.740553
2021-03-27 02:15:57,642 - Model - INFO - eval mIoU of Guitar         0.903400
2021-03-27 02:15:57,642 - Model - INFO - eval mIoU of Knife          0.853274
2021-03-27 02:15:57,642 - Model - INFO - eval mIoU of Lamp           0.849822
2021-03-27 02:15:57,642 - Model - INFO - eval mIoU of Laptop         0.953012
2021-03-27 02:15:57,642 - Model - INFO - eval mIoU of Motorbike      0.668634
2021-03-27 02:15:57,642 - Model - INFO - eval mIoU of Mug            0.933981
2021-03-27 02:15:57,643 - Model - INFO - eval mIoU of Pistol         0.797169
2021-03-27 02:15:57,643 - Model - INFO - eval mIoU of Rocket         0.567754
2021-03-27 02:15:57,643 - Model - INFO - eval mIoU of Skateboard     0.747896
2021-03-27 02:15:57,643 - Model - INFO - eval mIoU of Table          0.829509
2021-03-27 02:15:57,643 - Model - INFO - Epoch 41 test Accuracy: 0.940652  Class avg mIOU: 0.808916   Inctance avg mIOU: 0.845750
2021-03-27 02:15:57,643 - Model - INFO - Save model...
2021-03-27 02:15:57,643 - Model - INFO - Saving at log/part_seg/pointnet2_part_seg_msg/checkpoints/best_model.pth
2021-03-27 02:15:57,720 - Model - INFO - Saving model....
2021-03-27 02:15:57,721 - Model - INFO - Best accuracy is: 0.94065
2021-03-27 02:15:57,721 - Model - INFO - Best class avg mIOU is: 0.80892
2021-03-27 02:15:57,721 - Model - INFO - Best inctance avg mIOU is: 0.84575
2021-03-27 02:15:57,721 - Model - INFO - Epoch 42 (42/251):
2021-03-27 02:15:57,721 - Model - INFO - Learning rate:0.000250
2021-03-27 02:22:47,145 - Model - INFO - Train accuracy is: 0.94924
2021-03-27 02:23:56,070 - Model - INFO - eval mIoU of Airplane       0.821018
2021-03-27 02:23:56,070 - Model - INFO - eval mIoU of Bag            0.784118
2021-03-27 02:23:56,070 - Model - INFO - eval mIoU of Cap            0.847627
2021-03-27 02:23:56,070 - Model - INFO - eval mIoU of Car            0.766102
2021-03-27 02:23:56,070 - Model - INFO - eval mIoU of Chair          0.890644
2021-03-27 02:23:56,070 - Model - INFO - eval mIoU of Earphone       0.742761
2021-03-27 02:23:56,070 - Model - INFO - eval mIoU of Guitar         0.874400
2021-03-27 02:23:56,070 - Model - INFO - eval mIoU of Knife          0.852404
2021-03-27 02:23:56,070 - Model - INFO - eval mIoU of Lamp           0.841019
2021-03-27 02:23:56,070 - Model - INFO - eval mIoU of Laptop         0.954781
2021-03-27 02:23:56,070 - Model - INFO - eval mIoU of Motorbike      0.709546
2021-03-27 02:23:56,070 - Model - INFO - eval mIoU of Mug            0.944007
2021-03-27 02:23:56,070 - Model - INFO - eval mIoU of Pistol         0.808958
2021-03-27 02:23:56,070 - Model - INFO - eval mIoU of Rocket         0.599981
2021-03-27 02:23:56,070 - Model - INFO - eval mIoU of Skateboard     0.741777
2021-03-27 02:23:56,070 - Model - INFO - eval mIoU of Table          0.828259
2021-03-27 02:23:56,071 - Model - INFO - Epoch 42 test Accuracy: 0.939378  Class avg mIOU: 0.812963   Inctance avg mIOU: 0.844098
2021-03-27 02:23:56,071 - Model - INFO - Best accuracy is: 0.94065
2021-03-27 02:23:56,071 - Model - INFO - Best class avg mIOU is: 0.81296
2021-03-27 02:23:56,071 - Model - INFO - Best inctance avg mIOU is: 0.84575
2021-03-27 02:23:56,071 - Model - INFO - Epoch 43 (43/251):
2021-03-27 02:23:56,071 - Model - INFO - Learning rate:0.000250
2021-03-27 02:30:39,615 - Model - INFO - Train accuracy is: 0.94940
2021-03-27 02:31:46,300 - Model - INFO - eval mIoU of Airplane       0.823393
2021-03-27 02:31:46,300 - Model - INFO - eval mIoU of Bag            0.809735
2021-03-27 02:31:46,300 - Model - INFO - eval mIoU of Cap            0.826647
2021-03-27 02:31:46,300 - Model - INFO - eval mIoU of Car            0.762923
2021-03-27 02:31:46,300 - Model - INFO - eval mIoU of Chair          0.899862
2021-03-27 02:31:46,300 - Model - INFO - eval mIoU of Earphone       0.759822
2021-03-27 02:31:46,300 - Model - INFO - eval mIoU of Guitar         0.904126
2021-03-27 02:31:46,300 - Model - INFO - eval mIoU of Knife          0.864549
2021-03-27 02:31:46,300 - Model - INFO - eval mIoU of Lamp           0.846147
2021-03-27 02:31:46,300 - Model - INFO - eval mIoU of Laptop         0.953527
2021-03-27 02:31:46,301 - Model - INFO - eval mIoU of Motorbike      0.644269
2021-03-27 02:31:46,301 - Model - INFO - eval mIoU of Mug            0.930900
2021-03-27 02:31:46,301 - Model - INFO - eval mIoU of Pistol         0.776027
2021-03-27 02:31:46,301 - Model - INFO - eval mIoU of Rocket         0.603574
2021-03-27 02:31:46,301 - Model - INFO - eval mIoU of Skateboard     0.749992
2021-03-27 02:31:46,301 - Model - INFO - eval mIoU of Table          0.825067
2021-03-27 02:31:46,301 - Model - INFO - Epoch 43 test Accuracy: 0.941249  Class avg mIOU: 0.811285   Inctance avg mIOU: 0.846373
2021-03-27 02:31:46,301 - Model - INFO - Save model...
2021-03-27 02:31:46,302 - Model - INFO - Saving at log/part_seg/pointnet2_part_seg_msg/checkpoints/best_model.pth
2021-03-27 02:31:46,390 - Model - INFO - Saving model....
2021-03-27 02:31:46,390 - Model - INFO - Best accuracy is: 0.94125
2021-03-27 02:31:46,390 - Model - INFO - Best class avg mIOU is: 0.81296
2021-03-27 02:31:46,390 - Model - INFO - Best inctance avg mIOU is: 0.84637
2021-03-27 02:31:46,390 - Model - INFO - Epoch 44 (44/251):
2021-03-27 02:31:46,390 - Model - INFO - Learning rate:0.000250
2021-03-27 02:38:30,486 - Model - INFO - Train accuracy is: 0.94938
2021-03-27 02:39:37,981 - Model - INFO - eval mIoU of Airplane       0.826803
2021-03-27 02:39:37,981 - Model - INFO - eval mIoU of Bag            0.808968
2021-03-27 02:39:37,981 - Model - INFO - eval mIoU of Cap            0.824969
2021-03-27 02:39:37,981 - Model - INFO - eval mIoU of Car            0.765099
2021-03-27 02:39:37,981 - Model - INFO - eval mIoU of Chair          0.893090
2021-03-27 02:39:37,981 - Model - INFO - eval mIoU of Earphone       0.729449
2021-03-27 02:39:37,981 - Model - INFO - eval mIoU of Guitar         0.906902
2021-03-27 02:39:37,981 - Model - INFO - eval mIoU of Knife          0.820610
2021-03-27 02:39:37,982 - Model - INFO - eval mIoU of Lamp           0.843952
2021-03-27 02:39:37,982 - Model - INFO - eval mIoU of Laptop         0.954720
2021-03-27 02:39:37,982 - Model - INFO - eval mIoU of Motorbike      0.642746
2021-03-27 02:39:37,982 - Model - INFO - eval mIoU of Mug            0.947102
2021-03-27 02:39:37,982 - Model - INFO - eval mIoU of Pistol         0.822499
2021-03-27 02:39:37,982 - Model - INFO - eval mIoU of Rocket         0.574365
2021-03-27 02:39:37,982 - Model - INFO - eval mIoU of Skateboard     0.763412
2021-03-27 02:39:37,982 - Model - INFO - eval mIoU of Table          0.824833
2021-03-27 02:39:37,982 - Model - INFO - Epoch 44 test Accuracy: 0.938936  Class avg mIOU: 0.809345   Inctance avg mIOU: 0.844679
2021-03-27 02:39:37,982 - Model - INFO - Best accuracy is: 0.94125
2021-03-27 02:39:37,982 - Model - INFO - Best class avg mIOU is: 0.81296
2021-03-27 02:39:37,982 - Model - INFO - Best inctance avg mIOU is: 0.84637
2021-03-27 02:39:37,983 - Model - INFO - Epoch 45 (45/251):
2021-03-27 02:39:37,983 - Model - INFO - Learning rate:0.000250
2021-03-27 02:46:21,326 - Model - INFO - Train accuracy is: 0.94955
2021-03-27 02:47:28,710 - Model - INFO - eval mIoU of Airplane       0.796899
2021-03-27 02:47:28,710 - Model - INFO - eval mIoU of Bag            0.794132
2021-03-27 02:47:28,710 - Model - INFO - eval mIoU of Cap            0.858168
2021-03-27 02:47:28,710 - Model - INFO - eval mIoU of Car            0.766346
2021-03-27 02:47:28,710 - Model - INFO - eval mIoU of Chair          0.896523
2021-03-27 02:47:28,710 - Model - INFO - eval mIoU of Earphone       0.738254
2021-03-27 02:47:28,711 - Model - INFO - eval mIoU of Guitar         0.906420
2021-03-27 02:47:28,711 - Model - INFO - eval mIoU of Knife          0.875002
2021-03-27 02:47:28,711 - Model - INFO - eval mIoU of Lamp           0.840106
2021-03-27 02:47:28,711 - Model - INFO - eval mIoU of Laptop         0.954769
2021-03-27 02:47:28,711 - Model - INFO - eval mIoU of Motorbike      0.682138
2021-03-27 02:47:28,711 - Model - INFO - eval mIoU of Mug            0.951229
2021-03-27 02:47:28,711 - Model - INFO - eval mIoU of Pistol         0.820463
2021-03-27 02:47:28,711 - Model - INFO - eval mIoU of Rocket         0.620361
2021-03-27 02:47:28,712 - Model - INFO - eval mIoU of Skateboard     0.761213
2021-03-27 02:47:28,712 - Model - INFO - eval mIoU of Table          0.821144
2021-03-27 02:47:28,712 - Model - INFO - Epoch 45 test Accuracy: 0.940348  Class avg mIOU: 0.817698   Inctance avg mIOU: 0.843046
2021-03-27 02:47:28,713 - Model - INFO - Best accuracy is: 0.94125
2021-03-27 02:47:28,713 - Model - INFO - Best class avg mIOU is: 0.81770
2021-03-27 02:47:28,713 - Model - INFO - Best inctance avg mIOU is: 0.84637
2021-03-27 02:47:28,713 - Model - INFO - Epoch 46 (46/251):
2021-03-27 02:47:28,713 - Model - INFO - Learning rate:0.000250
2021-03-27 02:54:08,381 - Model - INFO - Train accuracy is: 0.94973
2021-03-27 02:55:17,825 - Model - INFO - eval mIoU of Airplane       0.811564
2021-03-27 02:55:17,825 - Model - INFO - eval mIoU of Bag            0.771876
2021-03-27 02:55:17,825 - Model - INFO - eval mIoU of Cap            0.840625
2021-03-27 02:55:17,825 - Model - INFO - eval mIoU of Car            0.739172
2021-03-27 02:55:17,825 - Model - INFO - eval mIoU of Chair          0.892609
2021-03-27 02:55:17,825 - Model - INFO - eval mIoU of Earphone       0.641255
2021-03-27 02:55:17,825 - Model - INFO - eval mIoU of Guitar         0.895396
2021-03-27 02:55:17,825 - Model - INFO - eval mIoU of Knife          0.876615
2021-03-27 02:55:17,825 - Model - INFO - eval mIoU of Lamp           0.827047
2021-03-27 02:55:17,826 - Model - INFO - eval mIoU of Laptop         0.953290
2021-03-27 02:55:17,826 - Model - INFO - eval mIoU of Motorbike      0.674499
2021-03-27 02:55:17,826 - Model - INFO - eval mIoU of Mug            0.950854
2021-03-27 02:55:17,826 - Model - INFO - eval mIoU of Pistol         0.800942
2021-03-27 02:55:17,826 - Model - INFO - eval mIoU of Rocket         0.588083
2021-03-27 02:55:17,826 - Model - INFO - eval mIoU of Skateboard     0.742322
2021-03-27 02:55:17,826 - Model - INFO - eval mIoU of Table          0.795416
2021-03-27 02:55:17,826 - Model - INFO - Epoch 46 test Accuracy: 0.935722  Class avg mIOU: 0.800098   Inctance avg mIOU: 0.831409
2021-03-27 02:55:17,826 - Model - INFO - Best accuracy is: 0.94125
2021-03-27 02:55:17,826 - Model - INFO - Best class avg mIOU is: 0.81770
2021-03-27 02:55:17,826 - Model - INFO - Best inctance avg mIOU is: 0.84637
2021-03-27 02:55:17,827 - Model - INFO - Epoch 47 (47/251):
2021-03-27 02:55:17,827 - Model - INFO - Learning rate:0.000250
2021-03-27 03:02:06,647 - Model - INFO - Train accuracy is: 0.94968
2021-03-27 03:03:13,184 - Model - INFO - eval mIoU of Airplane       0.817405
2021-03-27 03:03:13,185 - Model - INFO - eval mIoU of Bag            0.798896
2021-03-27 03:03:13,185 - Model - INFO - eval mIoU of Cap            0.880533
2021-03-27 03:03:13,185 - Model - INFO - eval mIoU of Car            0.748941
2021-03-27 03:03:13,185 - Model - INFO - eval mIoU of Chair          0.902893
2021-03-27 03:03:13,185 - Model - INFO - eval mIoU of Earphone       0.773025
2021-03-27 03:03:13,185 - Model - INFO - eval mIoU of Guitar         0.906350
2021-03-27 03:03:13,185 - Model - INFO - eval mIoU of Knife          0.873170
2021-03-27 03:03:13,185 - Model - INFO - eval mIoU of Lamp           0.846543
2021-03-27 03:03:13,185 - Model - INFO - eval mIoU of Laptop         0.948979
2021-03-27 03:03:13,185 - Model - INFO - eval mIoU of Motorbike      0.712881
2021-03-27 03:03:13,186 - Model - INFO - eval mIoU of Mug            0.934229
2021-03-27 03:03:13,186 - Model - INFO - eval mIoU of Pistol         0.807493
2021-03-27 03:03:13,186 - Model - INFO - eval mIoU of Rocket         0.582471
2021-03-27 03:03:13,186 - Model - INFO - eval mIoU of Skateboard     0.739891
2021-03-27 03:03:13,186 - Model - INFO - eval mIoU of Table          0.822168
2021-03-27 03:03:13,186 - Model - INFO - Epoch 47 test Accuracy: 0.941552  Class avg mIOU: 0.818492   Inctance avg mIOU: 0.846816
2021-03-27 03:03:13,187 - Model - INFO - Save model...
2021-03-27 03:03:13,187 - Model - INFO - Saving at log/part_seg/pointnet2_part_seg_msg/checkpoints/best_model.pth
2021-03-27 03:03:13,269 - Model - INFO - Saving model....
2021-03-27 03:03:13,269 - Model - INFO - Best accuracy is: 0.94155
2021-03-27 03:03:13,269 - Model - INFO - Best class avg mIOU is: 0.81849
2021-03-27 03:03:13,269 - Model - INFO - Best inctance avg mIOU is: 0.84682
2021-03-27 03:03:13,269 - Model - INFO - Epoch 48 (48/251):
2021-03-27 03:03:13,269 - Model - INFO - Learning rate:0.000250
2021-03-27 03:09:49,796 - Model - INFO - Train accuracy is: 0.94995
2021-03-27 03:10:56,425 - Model - INFO - eval mIoU of Airplane       0.810758
2021-03-27 03:10:56,426 - Model - INFO - eval mIoU of Bag            0.771840
2021-03-27 03:10:56,426 - Model - INFO - eval mIoU of Cap            0.787109
2021-03-27 03:10:56,426 - Model - INFO - eval mIoU of Car            0.751898
2021-03-27 03:10:56,426 - Model - INFO - eval mIoU of Chair          0.897308
2021-03-27 03:10:56,426 - Model - INFO - eval mIoU of Earphone       0.711309
2021-03-27 03:10:56,426 - Model - INFO - eval mIoU of Guitar         0.902136
2021-03-27 03:10:56,426 - Model - INFO - eval mIoU of Knife          0.870026
2021-03-27 03:10:56,426 - Model - INFO - eval mIoU of Lamp           0.831607
2021-03-27 03:10:56,426 - Model - INFO - eval mIoU of Laptop         0.955344
2021-03-27 03:10:56,426 - Model - INFO - eval mIoU of Motorbike      0.636601
2021-03-27 03:10:56,426 - Model - INFO - eval mIoU of Mug            0.937411
2021-03-27 03:10:56,426 - Model - INFO - eval mIoU of Pistol         0.778965
2021-03-27 03:10:56,426 - Model - INFO - eval mIoU of Rocket         0.543611
2021-03-27 03:10:56,426 - Model - INFO - eval mIoU of Skateboard     0.758716
2021-03-27 03:10:56,426 - Model - INFO - eval mIoU of Table          0.815761
2021-03-27 03:10:56,427 - Model - INFO - Epoch 48 test Accuracy: 0.938098  Class avg mIOU: 0.797525   Inctance avg mIOU: 0.838811
2021-03-27 03:10:56,427 - Model - INFO - Best accuracy is: 0.94155
2021-03-27 03:10:56,427 - Model - INFO - Best class avg mIOU is: 0.81849
2021-03-27 03:10:56,427 - Model - INFO - Best inctance avg mIOU is: 0.84682
2021-03-27 03:10:56,427 - Model - INFO - Epoch 49 (49/251):
2021-03-27 03:10:56,427 - Model - INFO - Learning rate:0.000250
2021-03-27 03:17:41,627 - Model - INFO - Train accuracy is: 0.94975
2021-03-27 03:18:50,470 - Model - INFO - eval mIoU of Airplane       0.806491
2021-03-27 03:18:50,470 - Model - INFO - eval mIoU of Bag            0.814543
2021-03-27 03:18:50,470 - Model - INFO - eval mIoU of Cap            0.864840
2021-03-27 03:18:50,471 - Model - INFO - eval mIoU of Car            0.768206
2021-03-27 03:18:50,471 - Model - INFO - eval mIoU of Chair          0.897023
2021-03-27 03:18:50,471 - Model - INFO - eval mIoU of Earphone       0.678477
2021-03-27 03:18:50,471 - Model - INFO - eval mIoU of Guitar         0.904302
2021-03-27 03:18:50,471 - Model - INFO - eval mIoU of Knife          0.860690
2021-03-27 03:18:50,471 - Model - INFO - eval mIoU of Lamp           0.843177
2021-03-27 03:18:50,471 - Model - INFO - eval mIoU of Laptop         0.955257
2021-03-27 03:18:50,471 - Model - INFO - eval mIoU of Motorbike      0.692092
2021-03-27 03:18:50,471 - Model - INFO - eval mIoU of Mug            0.948214
2021-03-27 03:18:50,471 - Model - INFO - eval mIoU of Pistol         0.822234
2021-03-27 03:18:50,471 - Model - INFO - eval mIoU of Rocket         0.623314
2021-03-27 03:18:50,471 - Model - INFO - eval mIoU of Skateboard     0.755820
2021-03-27 03:18:50,471 - Model - INFO - eval mIoU of Table          0.826220
2021-03-27 03:18:50,472 - Model - INFO - Epoch 49 test Accuracy: 0.940478  Class avg mIOU: 0.816306   Inctance avg mIOU: 0.845663
2021-03-27 03:18:50,472 - Model - INFO - Best accuracy is: 0.94155
2021-03-27 03:18:50,472 - Model - INFO - Best class avg mIOU is: 0.81849
2021-03-27 03:18:50,472 - Model - INFO - Best inctance avg mIOU is: 0.84682
2021-03-27 03:18:50,472 - Model - INFO - Epoch 50 (50/251):
2021-03-27 03:18:50,473 - Model - INFO - Learning rate:0.000250
2021-03-27 03:25:34,672 - Model - INFO - Train accuracy is: 0.95015
2021-03-27 03:26:42,443 - Model - INFO - eval mIoU of Airplane       0.821126
2021-03-27 03:26:42,443 - Model - INFO - eval mIoU of Bag            0.794190
2021-03-27 03:26:42,443 - Model - INFO - eval mIoU of Cap            0.860044
2021-03-27 03:26:42,443 - Model - INFO - eval mIoU of Car            0.761331
2021-03-27 03:26:42,443 - Model - INFO - eval mIoU of Chair          0.898068
2021-03-27 03:26:42,443 - Model - INFO - eval mIoU of Earphone       0.748460
2021-03-27 03:26:42,443 - Model - INFO - eval mIoU of Guitar         0.908976
2021-03-27 03:26:42,443 - Model - INFO - eval mIoU of Knife          0.842486
2021-03-27 03:26:42,443 - Model - INFO - eval mIoU of Lamp           0.841790
2021-03-27 03:26:42,443 - Model - INFO - eval mIoU of Laptop         0.952750
2021-03-27 03:26:42,443 - Model - INFO - eval mIoU of Motorbike      0.700483
2021-03-27 03:26:42,443 - Model - INFO - eval mIoU of Mug            0.944835
2021-03-27 03:26:42,443 - Model - INFO - eval mIoU of Pistol         0.797075
2021-03-27 03:26:42,444 - Model - INFO - eval mIoU of Rocket         0.585718
2021-03-27 03:26:42,444 - Model - INFO - eval mIoU of Skateboard     0.751380
2021-03-27 03:26:42,444 - Model - INFO - eval mIoU of Table          0.825632
2021-03-27 03:26:42,444 - Model - INFO - Epoch 50 test Accuracy: 0.940073  Class avg mIOU: 0.814646   Inctance avg mIOU: 0.846383
2021-03-27 03:26:42,444 - Model - INFO - Best accuracy is: 0.94155
2021-03-27 03:26:42,444 - Model - INFO - Best class avg mIOU is: 0.81849
2021-03-27 03:26:42,444 - Model - INFO - Best inctance avg mIOU is: 0.84682
2021-03-27 03:26:42,445 - Model - INFO - Epoch 51 (51/251):
2021-03-27 03:26:42,445 - Model - INFO - Learning rate:0.000250
2021-03-27 03:33:24,563 - Model - INFO - Train accuracy is: 0.95061
2021-03-27 03:34:29,658 - Model - INFO - eval mIoU of Airplane       0.815073
2021-03-27 03:34:29,658 - Model - INFO - eval mIoU of Bag            0.794729
2021-03-27 03:34:29,658 - Model - INFO - eval mIoU of Cap            0.816918
2021-03-27 03:34:29,658 - Model - INFO - eval mIoU of Car            0.755960
2021-03-27 03:34:29,658 - Model - INFO - eval mIoU of Chair          0.901807
2021-03-27 03:34:29,658 - Model - INFO - eval mIoU of Earphone       0.712941
2021-03-27 03:34:29,658 - Model - INFO - eval mIoU of Guitar         0.903970
2021-03-27 03:34:29,658 - Model - INFO - eval mIoU of Knife          0.870276
2021-03-27 03:34:29,658 - Model - INFO - eval mIoU of Lamp           0.843433
2021-03-27 03:34:29,658 - Model - INFO - eval mIoU of Laptop         0.951759
2021-03-27 03:34:29,658 - Model - INFO - eval mIoU of Motorbike      0.713187
2021-03-27 03:34:29,658 - Model - INFO - eval mIoU of Mug            0.940669
2021-03-27 03:34:29,658 - Model - INFO - eval mIoU of Pistol         0.798316
2021-03-27 03:34:29,658 - Model - INFO - eval mIoU of Rocket         0.593133
2021-03-27 03:34:29,658 - Model - INFO - eval mIoU of Skateboard     0.738038
2021-03-27 03:34:29,658 - Model - INFO - eval mIoU of Table          0.825158
2021-03-27 03:34:29,659 - Model - INFO - Epoch 51 test Accuracy: 0.940792  Class avg mIOU: 0.810960   Inctance avg mIOU: 0.846518
2021-03-27 03:34:29,659 - Model - INFO - Best accuracy is: 0.94155
2021-03-27 03:34:29,659 - Model - INFO - Best class avg mIOU is: 0.81849
2021-03-27 03:34:29,659 - Model - INFO - Best inctance avg mIOU is: 0.84682
2021-03-27 03:34:29,659 - Model - INFO - Epoch 52 (52/251):
2021-03-27 03:34:29,659 - Model - INFO - Learning rate:0.000250
2021-03-27 03:41:17,887 - Model - INFO - Train accuracy is: 0.95034
2021-03-27 03:42:24,367 - Model - INFO - eval mIoU of Airplane       0.823028
2021-03-27 03:42:24,368 - Model - INFO - eval mIoU of Bag            0.780912
2021-03-27 03:42:24,368 - Model - INFO - eval mIoU of Cap            0.859638
2021-03-27 03:42:24,368 - Model - INFO - eval mIoU of Car            0.748567
2021-03-27 03:42:24,368 - Model - INFO - eval mIoU of Chair          0.891041
2021-03-27 03:42:24,368 - Model - INFO - eval mIoU of Earphone       0.798434
2021-03-27 03:42:24,368 - Model - INFO - eval mIoU of Guitar         0.905818
2021-03-27 03:42:24,368 - Model - INFO - eval mIoU of Knife          0.872767
2021-03-27 03:42:24,368 - Model - INFO - eval mIoU of Lamp           0.828440
2021-03-27 03:42:24,368 - Model - INFO - eval mIoU of Laptop         0.956793
2021-03-27 03:42:24,368 - Model - INFO - eval mIoU of Motorbike      0.678795
2021-03-27 03:42:24,368 - Model - INFO - eval mIoU of Mug            0.940224
2021-03-27 03:42:24,369 - Model - INFO - eval mIoU of Pistol         0.778290
2021-03-27 03:42:24,369 - Model - INFO - eval mIoU of Rocket         0.541083
2021-03-27 03:42:24,369 - Model - INFO - eval mIoU of Skateboard     0.754664
2021-03-27 03:42:24,369 - Model - INFO - eval mIoU of Table          0.825688
2021-03-27 03:42:24,369 - Model - INFO - Epoch 52 test Accuracy: 0.940577  Class avg mIOU: 0.811511   Inctance avg mIOU: 0.842952
2021-03-27 03:42:24,369 - Model - INFO - Best accuracy is: 0.94155
2021-03-27 03:42:24,369 - Model - INFO - Best class avg mIOU is: 0.81849
2021-03-27 03:42:24,370 - Model - INFO - Best inctance avg mIOU is: 0.84682
2021-03-27 03:42:24,370 - Model - INFO - Epoch 53 (53/251):
2021-03-27 03:42:24,370 - Model - INFO - Learning rate:0.000250
2021-03-27 03:49:02,215 - Model - INFO - Train accuracy is: 0.94999
2021-03-27 03:50:08,185 - Model - INFO - eval mIoU of Airplane       0.796573
2021-03-27 03:50:08,186 - Model - INFO - eval mIoU of Bag            0.797803
2021-03-27 03:50:08,186 - Model - INFO - eval mIoU of Cap            0.858509
2021-03-27 03:50:08,186 - Model - INFO - eval mIoU of Car            0.761017
2021-03-27 03:50:08,186 - Model - INFO - eval mIoU of Chair          0.900493
2021-03-27 03:50:08,186 - Model - INFO - eval mIoU of Earphone       0.662371
2021-03-27 03:50:08,186 - Model - INFO - eval mIoU of Guitar         0.905790
2021-03-27 03:50:08,186 - Model - INFO - eval mIoU of Knife          0.870618
2021-03-27 03:50:08,186 - Model - INFO - eval mIoU of Lamp           0.844733
2021-03-27 03:50:08,186 - Model - INFO - eval mIoU of Laptop         0.954638
2021-03-27 03:50:08,186 - Model - INFO - eval mIoU of Motorbike      0.717806
2021-03-27 03:50:08,186 - Model - INFO - eval mIoU of Mug            0.947751
2021-03-27 03:50:08,186 - Model - INFO - eval mIoU of Pistol         0.761567
2021-03-27 03:50:08,186 - Model - INFO - eval mIoU of Rocket         0.540052
2021-03-27 03:50:08,187 - Model - INFO - eval mIoU of Skateboard     0.754677
2021-03-27 03:50:08,187 - Model - INFO - eval mIoU of Table          0.813901
2021-03-27 03:50:08,187 - Model - INFO - Epoch 53 test Accuracy: 0.939494  Class avg mIOU: 0.805519   Inctance avg mIOU: 0.840779
2021-03-27 03:50:08,187 - Model - INFO - Best accuracy is: 0.94155
2021-03-27 03:50:08,187 - Model - INFO - Best class avg mIOU is: 0.81849
2021-03-27 03:50:08,187 - Model - INFO - Best inctance avg mIOU is: 0.84682
2021-03-27 03:50:08,187 - Model - INFO - Epoch 54 (54/251):
2021-03-27 03:50:08,187 - Model - INFO - Learning rate:0.000250
2021-03-27 03:56:50,340 - Model - INFO - Train accuracy is: 0.95045
2021-03-27 03:57:56,745 - Model - INFO - eval mIoU of Airplane       0.813714
2021-03-27 03:57:56,746 - Model - INFO - eval mIoU of Bag            0.768889
2021-03-27 03:57:56,746 - Model - INFO - eval mIoU of Cap            0.836372
2021-03-27 03:57:56,746 - Model - INFO - eval mIoU of Car            0.763709
2021-03-27 03:57:56,746 - Model - INFO - eval mIoU of Chair          0.904763
2021-03-27 03:57:56,746 - Model - INFO - eval mIoU of Earphone       0.723107
2021-03-27 03:57:56,746 - Model - INFO - eval mIoU of Guitar         0.901302
2021-03-27 03:57:56,746 - Model - INFO - eval mIoU of Knife          0.868382
2021-03-27 03:57:56,746 - Model - INFO - eval mIoU of Lamp           0.838695
2021-03-27 03:57:56,746 - Model - INFO - eval mIoU of Laptop         0.954893
2021-03-27 03:57:56,746 - Model - INFO - eval mIoU of Motorbike      0.683377
2021-03-27 03:57:56,746 - Model - INFO - eval mIoU of Mug            0.950545
2021-03-27 03:57:56,746 - Model - INFO - eval mIoU of Pistol         0.816009
2021-03-27 03:57:56,747 - Model - INFO - eval mIoU of Rocket         0.602194
2021-03-27 03:57:56,747 - Model - INFO - eval mIoU of Skateboard     0.756737
2021-03-27 03:57:56,747 - Model - INFO - eval mIoU of Table          0.819620
2021-03-27 03:57:56,747 - Model - INFO - Epoch 54 test Accuracy: 0.940999  Class avg mIOU: 0.812644   Inctance avg mIOU: 0.845402
2021-03-27 03:57:56,747 - Model - INFO - Best accuracy is: 0.94155
2021-03-27 03:57:56,747 - Model - INFO - Best class avg mIOU is: 0.81849
2021-03-27 03:57:56,747 - Model - INFO - Best inctance avg mIOU is: 0.84682
2021-03-27 03:57:56,747 - Model - INFO - Epoch 55 (55/251):
2021-03-27 03:57:56,748 - Model - INFO - Learning rate:0.000250
2021-03-27 04:04:34,535 - Model - INFO - Train accuracy is: 0.95044
2021-03-27 04:05:42,005 - Model - INFO - eval mIoU of Airplane       0.811475
2021-03-27 04:05:42,006 - Model - INFO - eval mIoU of Bag            0.793292
2021-03-27 04:05:42,006 - Model - INFO - eval mIoU of Cap            0.869387
2021-03-27 04:05:42,006 - Model - INFO - eval mIoU of Car            0.773545
2021-03-27 04:05:42,006 - Model - INFO - eval mIoU of Chair          0.901046
2021-03-27 04:05:42,006 - Model - INFO - eval mIoU of Earphone       0.701783
2021-03-27 04:05:42,006 - Model - INFO - eval mIoU of Guitar         0.896563
2021-03-27 04:05:42,006 - Model - INFO - eval mIoU of Knife          0.865153
2021-03-27 04:05:42,007 - Model - INFO - eval mIoU of Lamp           0.845839
2021-03-27 04:05:42,007 - Model - INFO - eval mIoU of Laptop         0.953822
2021-03-27 04:05:42,007 - Model - INFO - eval mIoU of Motorbike      0.694055
2021-03-27 04:05:42,007 - Model - INFO - eval mIoU of Mug            0.950320
2021-03-27 04:05:42,007 - Model - INFO - eval mIoU of Pistol         0.813714
2021-03-27 04:05:42,007 - Model - INFO - eval mIoU of Rocket         0.610268
2021-03-27 04:05:42,007 - Model - INFO - eval mIoU of Skateboard     0.749818
2021-03-27 04:05:42,007 - Model - INFO - eval mIoU of Table          0.826072
2021-03-27 04:05:42,008 - Model - INFO - Epoch 55 test Accuracy: 0.941643  Class avg mIOU: 0.816009   Inctance avg mIOU: 0.847250
2021-03-27 04:05:42,008 - Model - INFO - Save model...
2021-03-27 04:05:42,008 - Model - INFO - Saving at log/part_seg/pointnet2_part_seg_msg/checkpoints/best_model.pth
2021-03-27 04:05:42,082 - Model - INFO - Saving model....
2021-03-27 04:05:42,083 - Model - INFO - Best accuracy is: 0.94164
2021-03-27 04:05:42,083 - Model - INFO - Best class avg mIOU is: 0.81849
2021-03-27 04:05:42,083 - Model - INFO - Best inctance avg mIOU is: 0.84725
2021-03-27 04:05:42,083 - Model - INFO - Epoch 56 (56/251):
2021-03-27 04:05:42,084 - Model - INFO - Learning rate:0.000250
2021-03-27 04:12:17,200 - Model - INFO - Train accuracy is: 0.95070
2021-03-27 04:13:22,984 - Model - INFO - eval mIoU of Airplane       0.816727
2021-03-27 04:13:22,984 - Model - INFO - eval mIoU of Bag            0.798371
2021-03-27 04:13:22,984 - Model - INFO - eval mIoU of Cap            0.852804
2021-03-27 04:13:22,985 - Model - INFO - eval mIoU of Car            0.770524
2021-03-27 04:13:22,985 - Model - INFO - eval mIoU of Chair          0.897116
2021-03-27 04:13:22,985 - Model - INFO - eval mIoU of Earphone       0.743655
2021-03-27 04:13:22,985 - Model - INFO - eval mIoU of Guitar         0.907222
2021-03-27 04:13:22,985 - Model - INFO - eval mIoU of Knife          0.876861
2021-03-27 04:13:22,985 - Model - INFO - eval mIoU of Lamp           0.851336
2021-03-27 04:13:22,985 - Model - INFO - eval mIoU of Laptop         0.952358
2021-03-27 04:13:22,985 - Model - INFO - eval mIoU of Motorbike      0.690789
2021-03-27 04:13:22,985 - Model - INFO - eval mIoU of Mug            0.945575
2021-03-27 04:13:22,985 - Model - INFO - eval mIoU of Pistol         0.820625
2021-03-27 04:13:22,985 - Model - INFO - eval mIoU of Rocket         0.618435
2021-03-27 04:13:22,985 - Model - INFO - eval mIoU of Skateboard     0.759011
2021-03-27 04:13:22,985 - Model - INFO - eval mIoU of Table          0.824890
2021-03-27 04:13:22,986 - Model - INFO - Epoch 56 test Accuracy: 0.940046  Class avg mIOU: 0.820394   Inctance avg mIOU: 0.848099
2021-03-27 04:13:22,986 - Model - INFO - Save model...
2021-03-27 04:13:22,986 - Model - INFO - Saving at log/part_seg/pointnet2_part_seg_msg/checkpoints/best_model.pth
2021-03-27 04:13:23,089 - Model - INFO - Saving model....
2021-03-27 04:13:23,089 - Model - INFO - Best accuracy is: 0.94164
2021-03-27 04:13:23,089 - Model - INFO - Best class avg mIOU is: 0.82039
2021-03-27 04:13:23,089 - Model - INFO - Best inctance avg mIOU is: 0.84810
2021-03-27 04:13:23,089 - Model - INFO - Epoch 57 (57/251):
2021-03-27 04:13:23,089 - Model - INFO - Learning rate:0.000250
2021-03-27 04:20:06,332 - Model - INFO - Train accuracy is: 0.95057
2021-03-27 04:21:12,671 - Model - INFO - eval mIoU of Airplane       0.809371
2021-03-27 04:21:12,671 - Model - INFO - eval mIoU of Bag            0.768090
2021-03-27 04:21:12,671 - Model - INFO - eval mIoU of Cap            0.853789
2021-03-27 04:21:12,671 - Model - INFO - eval mIoU of Car            0.767378
2021-03-27 04:21:12,671 - Model - INFO - eval mIoU of Chair          0.892233
2021-03-27 04:21:12,671 - Model - INFO - eval mIoU of Earphone       0.755381
2021-03-27 04:21:12,671 - Model - INFO - eval mIoU of Guitar         0.905002
2021-03-27 04:21:12,671 - Model - INFO - eval mIoU of Knife          0.873336
2021-03-27 04:21:12,672 - Model - INFO - eval mIoU of Lamp           0.845554
2021-03-27 04:21:12,672 - Model - INFO - eval mIoU of Laptop         0.954032
2021-03-27 04:21:12,672 - Model - INFO - eval mIoU of Motorbike      0.718230
2021-03-27 04:21:12,672 - Model - INFO - eval mIoU of Mug            0.952895
2021-03-27 04:21:12,672 - Model - INFO - eval mIoU of Pistol         0.791837
2021-03-27 04:21:12,672 - Model - INFO - eval mIoU of Rocket         0.591354
2021-03-27 04:21:12,672 - Model - INFO - eval mIoU of Skateboard     0.758299
2021-03-27 04:21:12,672 - Model - INFO - eval mIoU of Table          0.811500
2021-03-27 04:21:12,673 - Model - INFO - Epoch 57 test Accuracy: 0.939016  Class avg mIOU: 0.815518   Inctance avg mIOU: 0.841094
2021-03-27 04:21:12,673 - Model - INFO - Best accuracy is: 0.94164
2021-03-27 04:21:12,673 - Model - INFO - Best class avg mIOU is: 0.82039
2021-03-27 04:21:12,673 - Model - INFO - Best inctance avg mIOU is: 0.84810
2021-03-27 04:21:12,673 - Model - INFO - Epoch 58 (58/251):
2021-03-27 04:21:12,673 - Model - INFO - Learning rate:0.000250
2021-03-27 04:27:54,306 - Model - INFO - Train accuracy is: 0.95069
2021-03-27 04:29:02,855 - Model - INFO - eval mIoU of Airplane       0.818467
2021-03-27 04:29:02,856 - Model - INFO - eval mIoU of Bag            0.812930
2021-03-27 04:29:02,857 - Model - INFO - eval mIoU of Cap            0.803477
2021-03-27 04:29:02,858 - Model - INFO - eval mIoU of Car            0.766419
2021-03-27 04:29:02,859 - Model - INFO - eval mIoU of Chair          0.900834
2021-03-27 04:29:02,859 - Model - INFO - eval mIoU of Earphone       0.769007
2021-03-27 04:29:02,859 - Model - INFO - eval mIoU of Guitar         0.908516
2021-03-27 04:29:02,860 - Model - INFO - eval mIoU of Knife          0.881099
2021-03-27 04:29:02,860 - Model - INFO - eval mIoU of Lamp           0.835712
2021-03-27 04:29:02,861 - Model - INFO - eval mIoU of Laptop         0.953925
2021-03-27 04:29:02,861 - Model - INFO - eval mIoU of Motorbike      0.703330
2021-03-27 04:29:02,861 - Model - INFO - eval mIoU of Mug            0.933902
2021-03-27 04:29:02,862 - Model - INFO - eval mIoU of Pistol         0.802995
2021-03-27 04:29:02,862 - Model - INFO - eval mIoU of Rocket         0.613196
2021-03-27 04:29:02,863 - Model - INFO - eval mIoU of Skateboard     0.750875
2021-03-27 04:29:02,863 - Model - INFO - eval mIoU of Table          0.825951
2021-03-27 04:29:02,864 - Model - INFO - Epoch 58 test Accuracy: 0.940237  Class avg mIOU: 0.817540   Inctance avg mIOU: 0.847678
2021-03-27 04:29:02,865 - Model - INFO - Best accuracy is: 0.94164
2021-03-27 04:29:02,865 - Model - INFO - Best class avg mIOU is: 0.82039
2021-03-27 04:29:02,865 - Model - INFO - Best inctance avg mIOU is: 0.84810
2021-03-27 04:29:02,866 - Model - INFO - Epoch 59 (59/251):
2021-03-27 04:29:02,866 - Model - INFO - Learning rate:0.000250
2021-03-27 04:35:37,574 - Model - INFO - Train accuracy is: 0.95111
2021-03-27 04:36:45,085 - Model - INFO - eval mIoU of Airplane       0.814011
2021-03-27 04:36:45,086 - Model - INFO - eval mIoU of Bag            0.774979
2021-03-27 04:36:45,086 - Model - INFO - eval mIoU of Cap            0.819307
2021-03-27 04:36:45,086 - Model - INFO - eval mIoU of Car            0.761202
2021-03-27 04:36:45,086 - Model - INFO - eval mIoU of Chair          0.904776
2021-03-27 04:36:45,086 - Model - INFO - eval mIoU of Earphone       0.762100
2021-03-27 04:36:45,086 - Model - INFO - eval mIoU of Guitar         0.909036
2021-03-27 04:36:45,086 - Model - INFO - eval mIoU of Knife          0.871917
2021-03-27 04:36:45,086 - Model - INFO - eval mIoU of Lamp           0.842770
2021-03-27 04:36:45,086 - Model - INFO - eval mIoU of Laptop         0.955664
2021-03-27 04:36:45,087 - Model - INFO - eval mIoU of Motorbike      0.682841
2021-03-27 04:36:45,087 - Model - INFO - eval mIoU of Mug            0.933836
2021-03-27 04:36:45,087 - Model - INFO - eval mIoU of Pistol         0.813101
2021-03-27 04:36:45,087 - Model - INFO - eval mIoU of Rocket         0.573316
2021-03-27 04:36:45,087 - Model - INFO - eval mIoU of Skateboard     0.762830
2021-03-27 04:36:45,087 - Model - INFO - eval mIoU of Table          0.815407
2021-03-27 04:36:45,088 - Model - INFO - Epoch 59 test Accuracy: 0.939384  Class avg mIOU: 0.812318   Inctance avg mIOU: 0.844838
2021-03-27 04:36:45,088 - Model - INFO - Best accuracy is: 0.94164
2021-03-27 04:36:45,088 - Model - INFO - Best class avg mIOU is: 0.82039
2021-03-27 04:36:45,088 - Model - INFO - Best inctance avg mIOU is: 0.84810
2021-03-27 04:36:45,089 - Model - INFO - Epoch 60 (60/251):
2021-03-27 04:36:45,089 - Model - INFO - Learning rate:0.000250
2021-03-27 04:43:26,733 - Model - INFO - Train accuracy is: 0.95054
2021-03-27 04:44:32,876 - Model - INFO - eval mIoU of Airplane       0.809559
2021-03-27 04:44:32,876 - Model - INFO - eval mIoU of Bag            0.805091
2021-03-27 04:44:32,877 - Model - INFO - eval mIoU of Cap            0.879405
2021-03-27 04:44:32,877 - Model - INFO - eval mIoU of Car            0.767637
2021-03-27 04:44:32,877 - Model - INFO - eval mIoU of Chair          0.902669
2021-03-27 04:44:32,877 - Model - INFO - eval mIoU of Earphone       0.690938
2021-03-27 04:44:32,877 - Model - INFO - eval mIoU of Guitar         0.903044
2021-03-27 04:44:32,877 - Model - INFO - eval mIoU of Knife          0.876821
2021-03-27 04:44:32,877 - Model - INFO - eval mIoU of Lamp           0.846157
2021-03-27 04:44:32,877 - Model - INFO - eval mIoU of Laptop         0.952677
2021-03-27 04:44:32,877 - Model - INFO - eval mIoU of Motorbike      0.707700
2021-03-27 04:44:32,877 - Model - INFO - eval mIoU of Mug            0.952138
2021-03-27 04:44:32,877 - Model - INFO - eval mIoU of Pistol         0.786474
2021-03-27 04:44:32,877 - Model - INFO - eval mIoU of Rocket         0.603154
2021-03-27 04:44:32,877 - Model - INFO - eval mIoU of Skateboard     0.759871
2021-03-27 04:44:32,877 - Model - INFO - eval mIoU of Table          0.827650
2021-03-27 04:44:32,877 - Model - INFO - Epoch 60 test Accuracy: 0.941733  Class avg mIOU: 0.816937   Inctance avg mIOU: 0.848214
2021-03-27 04:44:32,878 - Model - INFO - Save model...
2021-03-27 04:44:32,878 - Model - INFO - Saving at log/part_seg/pointnet2_part_seg_msg/checkpoints/best_model.pth
2021-03-27 04:44:32,951 - Model - INFO - Saving model....
2021-03-27 04:44:32,951 - Model - INFO - Best accuracy is: 0.94173
2021-03-27 04:44:32,951 - Model - INFO - Best class avg mIOU is: 0.82039
2021-03-27 04:44:32,951 - Model - INFO - Best inctance avg mIOU is: 0.84821
2021-03-27 04:44:32,951 - Model - INFO - Epoch 61 (61/251):
2021-03-27 04:44:32,951 - Model - INFO - Learning rate:0.000125
2021-03-27 04:51:13,584 - Model - INFO - Train accuracy is: 0.95213
2021-03-27 04:52:19,949 - Model - INFO - eval mIoU of Airplane       0.822503
2021-03-27 04:52:19,950 - Model - INFO - eval mIoU of Bag            0.794249
2021-03-27 04:52:19,950 - Model - INFO - eval mIoU of Cap            0.811173
2021-03-27 04:52:19,950 - Model - INFO - eval mIoU of Car            0.778046
2021-03-27 04:52:19,950 - Model - INFO - eval mIoU of Chair          0.901062
2021-03-27 04:52:19,950 - Model - INFO - eval mIoU of Earphone       0.737113
2021-03-27 04:52:19,950 - Model - INFO - eval mIoU of Guitar         0.907511
2021-03-27 04:52:19,950 - Model - INFO - eval mIoU of Knife          0.876159
2021-03-27 04:52:19,950 - Model - INFO - eval mIoU of Lamp           0.840975
2021-03-27 04:52:19,950 - Model - INFO - eval mIoU of Laptop         0.955479
2021-03-27 04:52:19,950 - Model - INFO - eval mIoU of Motorbike      0.702792
2021-03-27 04:52:19,950 - Model - INFO - eval mIoU of Mug            0.945227
2021-03-27 04:52:19,950 - Model - INFO - eval mIoU of Pistol         0.819508
2021-03-27 04:52:19,950 - Model - INFO - eval mIoU of Rocket         0.630675
2021-03-27 04:52:19,950 - Model - INFO - eval mIoU of Skateboard     0.755138
2021-03-27 04:52:19,950 - Model - INFO - eval mIoU of Table          0.823879
2021-03-27 04:52:19,951 - Model - INFO - Epoch 61 test Accuracy: 0.942808  Class avg mIOU: 0.818843   Inctance avg mIOU: 0.848911
2021-03-27 04:52:19,951 - Model - INFO - Save model...
2021-03-27 04:52:19,951 - Model - INFO - Saving at log/part_seg/pointnet2_part_seg_msg/checkpoints/best_model.pth
2021-03-27 04:52:20,022 - Model - INFO - Saving model....
2021-03-27 04:52:20,022 - Model - INFO - Best accuracy is: 0.94281
2021-03-27 04:52:20,023 - Model - INFO - Best class avg mIOU is: 0.82039
2021-03-27 04:52:20,023 - Model - INFO - Best inctance avg mIOU is: 0.84891
2021-03-27 04:52:20,023 - Model - INFO - Epoch 62 (62/251):
2021-03-27 04:52:20,023 - Model - INFO - Learning rate:0.000125
2021-03-27 04:59:02,806 - Model - INFO - Train accuracy is: 0.95255
2021-03-27 05:00:10,847 - Model - INFO - eval mIoU of Airplane       0.823837
2021-03-27 05:00:10,847 - Model - INFO - eval mIoU of Bag            0.796665
2021-03-27 05:00:10,848 - Model - INFO - eval mIoU of Cap            0.816373
2021-03-27 05:00:10,848 - Model - INFO - eval mIoU of Car            0.759232
2021-03-27 05:00:10,848 - Model - INFO - eval mIoU of Chair          0.904878
2021-03-27 05:00:10,848 - Model - INFO - eval mIoU of Earphone       0.693029
2021-03-27 05:00:10,848 - Model - INFO - eval mIoU of Guitar         0.904589
2021-03-27 05:00:10,848 - Model - INFO - eval mIoU of Knife          0.863891
2021-03-27 05:00:10,848 - Model - INFO - eval mIoU of Lamp           0.844072
2021-03-27 05:00:10,848 - Model - INFO - eval mIoU of Laptop         0.952437
2021-03-27 05:00:10,848 - Model - INFO - eval mIoU of Motorbike      0.712324
2021-03-27 05:00:10,848 - Model - INFO - eval mIoU of Mug            0.944153
2021-03-27 05:00:10,848 - Model - INFO - eval mIoU of Pistol         0.817579
2021-03-27 05:00:10,848 - Model - INFO - eval mIoU of Rocket         0.617159
2021-03-27 05:00:10,848 - Model - INFO - eval mIoU of Skateboard     0.750955
2021-03-27 05:00:10,848 - Model - INFO - eval mIoU of Table          0.817937
2021-03-27 05:00:10,849 - Model - INFO - Epoch 62 test Accuracy: 0.941325  Class avg mIOU: 0.813694   Inctance avg mIOU: 0.846775
2021-03-27 05:00:10,849 - Model - INFO - Best accuracy is: 0.94281
2021-03-27 05:00:10,849 - Model - INFO - Best class avg mIOU is: 0.82039
2021-03-27 05:00:10,849 - Model - INFO - Best inctance avg mIOU is: 0.84891
2021-03-27 05:00:10,849 - Model - INFO - Epoch 63 (63/251):
2021-03-27 05:00:10,849 - Model - INFO - Learning rate:0.000125
2021-03-27 05:06:50,091 - Model - INFO - Train accuracy is: 0.95279
2021-03-27 05:07:57,685 - Model - INFO - eval mIoU of Airplane       0.803051
2021-03-27 05:07:57,685 - Model - INFO - eval mIoU of Bag            0.787527
2021-03-27 05:07:57,685 - Model - INFO - eval mIoU of Cap            0.846420
2021-03-27 05:07:57,685 - Model - INFO - eval mIoU of Car            0.764706
2021-03-27 05:07:57,686 - Model - INFO - eval mIoU of Chair          0.898895
2021-03-27 05:07:57,686 - Model - INFO - eval mIoU of Earphone       0.709902
2021-03-27 05:07:57,686 - Model - INFO - eval mIoU of Guitar         0.906766
2021-03-27 05:07:57,686 - Model - INFO - eval mIoU of Knife          0.867930
2021-03-27 05:07:57,686 - Model - INFO - eval mIoU of Lamp           0.841781
2021-03-27 05:07:57,686 - Model - INFO - eval mIoU of Laptop         0.956261
2021-03-27 05:07:57,686 - Model - INFO - eval mIoU of Motorbike      0.731405
2021-03-27 05:07:57,686 - Model - INFO - eval mIoU of Mug            0.938100
2021-03-27 05:07:57,686 - Model - INFO - eval mIoU of Pistol         0.828899
2021-03-27 05:07:57,686 - Model - INFO - eval mIoU of Rocket         0.581318
2021-03-27 05:07:57,686 - Model - INFO - eval mIoU of Skateboard     0.754764
2021-03-27 05:07:57,686 - Model - INFO - eval mIoU of Table          0.821350
2021-03-27 05:07:57,686 - Model - INFO - Epoch 63 test Accuracy: 0.941591  Class avg mIOU: 0.814942   Inctance avg mIOU: 0.844742
2021-03-27 05:07:57,686 - Model - INFO - Best accuracy is: 0.94281
2021-03-27 05:07:57,687 - Model - INFO - Best class avg mIOU is: 0.82039
2021-03-27 05:07:57,687 - Model - INFO - Best inctance avg mIOU is: 0.84891
2021-03-27 05:07:57,687 - Model - INFO - Epoch 64 (64/251):
2021-03-27 05:07:57,687 - Model - INFO - Learning rate:0.000125
2021-03-27 05:14:33,629 - Model - INFO - Train accuracy is: 0.95273
2021-03-27 05:15:41,564 - Model - INFO - eval mIoU of Airplane       0.817140
2021-03-27 05:15:41,564 - Model - INFO - eval mIoU of Bag            0.837234
2021-03-27 05:15:41,564 - Model - INFO - eval mIoU of Cap            0.859753
2021-03-27 05:15:41,564 - Model - INFO - eval mIoU of Car            0.770087
2021-03-27 05:15:41,564 - Model - INFO - eval mIoU of Chair          0.903628
2021-03-27 05:15:41,564 - Model - INFO - eval mIoU of Earphone       0.676808
2021-03-27 05:15:41,565 - Model - INFO - eval mIoU of Guitar         0.907227
2021-03-27 05:15:41,565 - Model - INFO - eval mIoU of Knife          0.872350
2021-03-27 05:15:41,565 - Model - INFO - eval mIoU of Lamp           0.832028
2021-03-27 05:15:41,565 - Model - INFO - eval mIoU of Laptop         0.952456
2021-03-27 05:15:41,565 - Model - INFO - eval mIoU of Motorbike      0.707030
2021-03-27 05:15:41,565 - Model - INFO - eval mIoU of Mug            0.936491
2021-03-27 05:15:41,565 - Model - INFO - eval mIoU of Pistol         0.821073
2021-03-27 05:15:41,565 - Model - INFO - eval mIoU of Rocket         0.569474
2021-03-27 05:15:41,565 - Model - INFO - eval mIoU of Skateboard     0.764982
2021-03-27 05:15:41,565 - Model - INFO - eval mIoU of Table          0.826624
2021-03-27 05:15:41,566 - Model - INFO - Epoch 64 test Accuracy: 0.940073  Class avg mIOU: 0.815899   Inctance avg mIOU: 0.848112
2021-03-27 05:15:41,566 - Model - INFO - Best accuracy is: 0.94281
2021-03-27 05:15:41,566 - Model - INFO - Best class avg mIOU is: 0.82039
2021-03-27 05:15:41,566 - Model - INFO - Best inctance avg mIOU is: 0.84891
2021-03-27 05:15:41,566 - Model - INFO - Epoch 65 (65/251):
2021-03-27 05:15:41,566 - Model - INFO - Learning rate:0.000125
2021-03-27 05:22:31,143 - Model - INFO - Train accuracy is: 0.95297
2021-03-27 05:23:39,650 - Model - INFO - eval mIoU of Airplane       0.829589
2021-03-27 05:23:39,650 - Model - INFO - eval mIoU of Bag            0.824532
2021-03-27 05:23:39,651 - Model - INFO - eval mIoU of Cap            0.843584
2021-03-27 05:23:39,651 - Model - INFO - eval mIoU of Car            0.782330
2021-03-27 05:23:39,651 - Model - INFO - eval mIoU of Chair          0.906435
2021-03-27 05:23:39,651 - Model - INFO - eval mIoU of Earphone       0.755102
2021-03-27 05:23:39,651 - Model - INFO - eval mIoU of Guitar         0.909842
2021-03-27 05:23:39,651 - Model - INFO - eval mIoU of Knife          0.864096
2021-03-27 05:23:39,651 - Model - INFO - eval mIoU of Lamp           0.845510
2021-03-27 05:23:39,651 - Model - INFO - eval mIoU of Laptop         0.951368
2021-03-27 05:23:39,651 - Model - INFO - eval mIoU of Motorbike      0.683127
2021-03-27 05:23:39,651 - Model - INFO - eval mIoU of Mug            0.947693
2021-03-27 05:23:39,651 - Model - INFO - eval mIoU of Pistol         0.809116
2021-03-27 05:23:39,651 - Model - INFO - eval mIoU of Rocket         0.583871
2021-03-27 05:23:39,651 - Model - INFO - eval mIoU of Skateboard     0.768516
2021-03-27 05:23:39,651 - Model - INFO - eval mIoU of Table          0.823471
2021-03-27 05:23:39,652 - Model - INFO - Epoch 65 test Accuracy: 0.942812  Class avg mIOU: 0.820511   Inctance avg mIOU: 0.851142
2021-03-27 05:23:39,652 - Model - INFO - Save model...
2021-03-27 05:23:39,652 - Model - INFO - Saving at log/part_seg/pointnet2_part_seg_msg/checkpoints/best_model.pth
2021-03-27 05:23:39,729 - Model - INFO - Saving model....
2021-03-27 05:23:39,729 - Model - INFO - Best accuracy is: 0.94281
2021-03-27 05:23:39,729 - Model - INFO - Best class avg mIOU is: 0.82051
2021-03-27 05:23:39,729 - Model - INFO - Best inctance avg mIOU is: 0.85114
2021-03-27 05:23:39,730 - Model - INFO - Epoch 66 (66/251):
2021-03-27 05:23:39,730 - Model - INFO - Learning rate:0.000125
2021-03-27 05:30:22,613 - Model - INFO - Train accuracy is: 0.95285
2021-03-27 05:31:28,213 - Model - INFO - eval mIoU of Airplane       0.811840
2021-03-27 05:31:28,214 - Model - INFO - eval mIoU of Bag            0.807263
2021-03-27 05:31:28,214 - Model - INFO - eval mIoU of Cap            0.853696
2021-03-27 05:31:28,214 - Model - INFO - eval mIoU of Car            0.775692
2021-03-27 05:31:28,215 - Model - INFO - eval mIoU of Chair          0.907610
2021-03-27 05:31:28,215 - Model - INFO - eval mIoU of Earphone       0.734897
2021-03-27 05:31:28,215 - Model - INFO - eval mIoU of Guitar         0.909289
2021-03-27 05:31:28,215 - Model - INFO - eval mIoU of Knife          0.866202
2021-03-27 05:31:28,215 - Model - INFO - eval mIoU of Lamp           0.848111
2021-03-27 05:31:28,215 - Model - INFO - eval mIoU of Laptop         0.954721
2021-03-27 05:31:28,215 - Model - INFO - eval mIoU of Motorbike      0.726164
2021-03-27 05:31:28,216 - Model - INFO - eval mIoU of Mug            0.949439
2021-03-27 05:31:28,216 - Model - INFO - eval mIoU of Pistol         0.820021
2021-03-27 05:31:28,216 - Model - INFO - eval mIoU of Rocket         0.603297
2021-03-27 05:31:28,216 - Model - INFO - eval mIoU of Skateboard     0.751400
2021-03-27 05:31:28,216 - Model - INFO - eval mIoU of Table          0.823653
2021-03-27 05:31:28,217 - Model - INFO - Epoch 66 test Accuracy: 0.941182  Class avg mIOU: 0.821456   Inctance avg mIOU: 0.850102
2021-03-27 05:31:28,217 - Model - INFO - Best accuracy is: 0.94281
2021-03-27 05:31:28,217 - Model - INFO - Best class avg mIOU is: 0.82146
2021-03-27 05:31:28,217 - Model - INFO - Best inctance avg mIOU is: 0.85114
2021-03-27 05:31:28,217 - Model - INFO - Epoch 67 (67/251):
2021-03-27 05:31:28,217 - Model - INFO - Learning rate:0.000125
2021-03-27 05:38:10,220 - Model - INFO - Train accuracy is: 0.95305
2021-03-27 05:39:19,725 - Model - INFO - eval mIoU of Airplane       0.822756
2021-03-27 05:39:19,725 - Model - INFO - eval mIoU of Bag            0.765644
2021-03-27 05:39:19,726 - Model - INFO - eval mIoU of Cap            0.828786
2021-03-27 05:39:19,726 - Model - INFO - eval mIoU of Car            0.772249
2021-03-27 05:39:19,726 - Model - INFO - eval mIoU of Chair          0.902506
2021-03-27 05:39:19,726 - Model - INFO - eval mIoU of Earphone       0.731356
2021-03-27 05:39:19,726 - Model - INFO - eval mIoU of Guitar         0.904644
2021-03-27 05:39:19,726 - Model - INFO - eval mIoU of Knife          0.871413
2021-03-27 05:39:19,726 - Model - INFO - eval mIoU of Lamp           0.849365
2021-03-27 05:39:19,726 - Model - INFO - eval mIoU of Laptop         0.950361
2021-03-27 05:39:19,726 - Model - INFO - eval mIoU of Motorbike      0.689654
2021-03-27 05:39:19,726 - Model - INFO - eval mIoU of Mug            0.953168
2021-03-27 05:39:19,726 - Model - INFO - eval mIoU of Pistol         0.823450
2021-03-27 05:39:19,726 - Model - INFO - eval mIoU of Rocket         0.595233
2021-03-27 05:39:19,726 - Model - INFO - eval mIoU of Skateboard     0.765461
2021-03-27 05:39:19,726 - Model - INFO - eval mIoU of Table          0.823721
2021-03-27 05:39:19,727 - Model - INFO - Epoch 67 test Accuracy: 0.941533  Class avg mIOU: 0.815610   Inctance avg mIOU: 0.849122
2021-03-27 05:39:19,727 - Model - INFO - Best accuracy is: 0.94281
2021-03-27 05:39:19,727 - Model - INFO - Best class avg mIOU is: 0.82146
2021-03-27 05:39:19,727 - Model - INFO - Best inctance avg mIOU is: 0.85114
2021-03-27 05:39:19,727 - Model - INFO - Epoch 68 (68/251):
2021-03-27 05:39:19,728 - Model - INFO - Learning rate:0.000125
2021-03-27 05:46:04,603 - Model - INFO - Train accuracy is: 0.95352
2021-03-27 05:47:11,296 - Model - INFO - eval mIoU of Airplane       0.825281
2021-03-27 05:47:11,297 - Model - INFO - eval mIoU of Bag            0.797653
2021-03-27 05:47:11,297 - Model - INFO - eval mIoU of Cap            0.850524
2021-03-27 05:47:11,297 - Model - INFO - eval mIoU of Car            0.760411
2021-03-27 05:47:11,297 - Model - INFO - eval mIoU of Chair          0.905746
2021-03-27 05:47:11,297 - Model - INFO - eval mIoU of Earphone       0.744410
2021-03-27 05:47:11,297 - Model - INFO - eval mIoU of Guitar         0.904189
2021-03-27 05:47:11,297 - Model - INFO - eval mIoU of Knife          0.872449
2021-03-27 05:47:11,297 - Model - INFO - eval mIoU of Lamp           0.849841
2021-03-27 05:47:11,297 - Model - INFO - eval mIoU of Laptop         0.949483
2021-03-27 05:47:11,297 - Model - INFO - eval mIoU of Motorbike      0.702218
2021-03-27 05:47:11,297 - Model - INFO - eval mIoU of Mug            0.933788
2021-03-27 05:47:11,297 - Model - INFO - eval mIoU of Pistol         0.827438
2021-03-27 05:47:11,297 - Model - INFO - eval mIoU of Rocket         0.568061
2021-03-27 05:47:11,297 - Model - INFO - eval mIoU of Skateboard     0.764376
2021-03-27 05:47:11,297 - Model - INFO - eval mIoU of Table          0.821218
2021-03-27 05:47:11,298 - Model - INFO - Epoch 68 test Accuracy: 0.941158  Class avg mIOU: 0.817318   Inctance avg mIOU: 0.849057
2021-03-27 05:47:11,298 - Model - INFO - Best accuracy is: 0.94281
2021-03-27 05:47:11,298 - Model - INFO - Best class avg mIOU is: 0.82146
2021-03-27 05:47:11,298 - Model - INFO - Best inctance avg mIOU is: 0.85114
2021-03-27 05:47:11,298 - Model - INFO - Epoch 69 (69/251):
2021-03-27 05:47:11,298 - Model - INFO - Learning rate:0.000125
2021-03-27 05:53:48,838 - Model - INFO - Train accuracy is: 0.95288
2021-03-27 05:54:56,402 - Model - INFO - eval mIoU of Airplane       0.822699
2021-03-27 05:54:56,402 - Model - INFO - eval mIoU of Bag            0.805097
2021-03-27 05:54:56,402 - Model - INFO - eval mIoU of Cap            0.845431
2021-03-27 05:54:56,402 - Model - INFO - eval mIoU of Car            0.774310
2021-03-27 05:54:56,402 - Model - INFO - eval mIoU of Chair          0.903160
2021-03-27 05:54:56,402 - Model - INFO - eval mIoU of Earphone       0.653158
2021-03-27 05:54:56,403 - Model - INFO - eval mIoU of Guitar         0.904717
2021-03-27 05:54:56,403 - Model - INFO - eval mIoU of Knife          0.861641
2021-03-27 05:54:56,403 - Model - INFO - eval mIoU of Lamp           0.844460
2021-03-27 05:54:56,403 - Model - INFO - eval mIoU of Laptop         0.951813
2021-03-27 05:54:56,403 - Model - INFO - eval mIoU of Motorbike      0.711065
2021-03-27 05:54:56,403 - Model - INFO - eval mIoU of Mug            0.955255
2021-03-27 05:54:56,403 - Model - INFO - eval mIoU of Pistol         0.822414
2021-03-27 05:54:56,403 - Model - INFO - eval mIoU of Rocket         0.615620
2021-03-27 05:54:56,403 - Model - INFO - eval mIoU of Skateboard     0.758891
2021-03-27 05:54:56,403 - Model - INFO - eval mIoU of Table          0.826571
2021-03-27 05:54:56,403 - Model - INFO - Epoch 69 test Accuracy: 0.941147  Class avg mIOU: 0.816019   Inctance avg mIOU: 0.849796
2021-03-27 05:54:56,403 - Model - INFO - Best accuracy is: 0.94281
2021-03-27 05:54:56,403 - Model - INFO - Best class avg mIOU is: 0.82146
2021-03-27 05:54:56,403 - Model - INFO - Best inctance avg mIOU is: 0.85114
2021-03-27 05:54:56,403 - Model - INFO - Epoch 70 (70/251):
2021-03-27 05:54:56,404 - Model - INFO - Learning rate:0.000125
2021-03-27 06:01:36,526 - Model - INFO - Train accuracy is: 0.95335
2021-03-27 06:02:45,074 - Model - INFO - eval mIoU of Airplane       0.821981
2021-03-27 06:02:45,074 - Model - INFO - eval mIoU of Bag            0.805649
2021-03-27 06:02:45,074 - Model - INFO - eval mIoU of Cap            0.864244
2021-03-27 06:02:45,074 - Model - INFO - eval mIoU of Car            0.758073
2021-03-27 06:02:45,074 - Model - INFO - eval mIoU of Chair          0.901936
2021-03-27 06:02:45,074 - Model - INFO - eval mIoU of Earphone       0.704343
2021-03-27 06:02:45,074 - Model - INFO - eval mIoU of Guitar         0.909434
2021-03-27 06:02:45,074 - Model - INFO - eval mIoU of Knife          0.873716
2021-03-27 06:02:45,074 - Model - INFO - eval mIoU of Lamp           0.842102
2021-03-27 06:02:45,074 - Model - INFO - eval mIoU of Laptop         0.953898
2021-03-27 06:02:45,074 - Model - INFO - eval mIoU of Motorbike      0.701986
2021-03-27 06:02:45,074 - Model - INFO - eval mIoU of Mug            0.945636
2021-03-27 06:02:45,074 - Model - INFO - eval mIoU of Pistol         0.823102
2021-03-27 06:02:45,074 - Model - INFO - eval mIoU of Rocket         0.619397
2021-03-27 06:02:45,074 - Model - INFO - eval mIoU of Skateboard     0.758292
2021-03-27 06:02:45,075 - Model - INFO - eval mIoU of Table          0.826358
2021-03-27 06:02:45,075 - Model - INFO - Epoch 70 test Accuracy: 0.942403  Class avg mIOU: 0.819384   Inctance avg mIOU: 0.848934
2021-03-27 06:02:45,075 - Model - INFO - Best accuracy is: 0.94281
2021-03-27 06:02:45,075 - Model - INFO - Best class avg mIOU is: 0.82146
2021-03-27 06:02:45,075 - Model - INFO - Best inctance avg mIOU is: 0.85114
2021-03-27 06:02:45,075 - Model - INFO - Epoch 71 (71/251):
2021-03-27 06:02:45,075 - Model - INFO - Learning rate:0.000125
2021-03-27 06:09:31,125 - Model - INFO - Train accuracy is: 0.95307
2021-03-27 06:10:38,343 - Model - INFO - eval mIoU of Airplane       0.826336
2021-03-27 06:10:38,344 - Model - INFO - eval mIoU of Bag            0.803349
2021-03-27 06:10:38,344 - Model - INFO - eval mIoU of Cap            0.862131
2021-03-27 06:10:38,344 - Model - INFO - eval mIoU of Car            0.770807
2021-03-27 06:10:38,344 - Model - INFO - eval mIoU of Chair          0.901528
2021-03-27 06:10:38,344 - Model - INFO - eval mIoU of Earphone       0.741946
2021-03-27 06:10:38,344 - Model - INFO - eval mIoU of Guitar         0.909548
2021-03-27 06:10:38,345 - Model - INFO - eval mIoU of Knife          0.872717
2021-03-27 06:10:38,345 - Model - INFO - eval mIoU of Lamp           0.843121
2021-03-27 06:10:38,345 - Model - INFO - eval mIoU of Laptop         0.952199
2021-03-27 06:10:38,345 - Model - INFO - eval mIoU of Motorbike      0.697188
2021-03-27 06:10:38,345 - Model - INFO - eval mIoU of Mug            0.938213
2021-03-27 06:10:38,345 - Model - INFO - eval mIoU of Pistol         0.834230
2021-03-27 06:10:38,345 - Model - INFO - eval mIoU of Rocket         0.611881
2021-03-27 06:10:38,345 - Model - INFO - eval mIoU of Skateboard     0.757109
2021-03-27 06:10:38,345 - Model - INFO - eval mIoU of Table          0.823867
2021-03-27 06:10:38,346 - Model - INFO - Epoch 71 test Accuracy: 0.941764  Class avg mIOU: 0.821636   Inctance avg mIOU: 0.849453
2021-03-27 06:10:38,346 - Model - INFO - Best accuracy is: 0.94281
2021-03-27 06:10:38,346 - Model - INFO - Best class avg mIOU is: 0.82164
2021-03-27 06:10:38,346 - Model - INFO - Best inctance avg mIOU is: 0.85114
2021-03-27 06:10:38,346 - Model - INFO - Epoch 72 (72/251):
2021-03-27 06:10:38,346 - Model - INFO - Learning rate:0.000125
2021-03-27 06:17:22,623 - Model - INFO - Train accuracy is: 0.95327
2021-03-27 06:18:31,048 - Model - INFO - eval mIoU of Airplane       0.811287
2021-03-27 06:18:31,048 - Model - INFO - eval mIoU of Bag            0.810969
2021-03-27 06:18:31,048 - Model - INFO - eval mIoU of Cap            0.851811
2021-03-27 06:18:31,048 - Model - INFO - eval mIoU of Car            0.773610
2021-03-27 06:18:31,048 - Model - INFO - eval mIoU of Chair          0.900754
2021-03-27 06:18:31,048 - Model - INFO - eval mIoU of Earphone       0.681475
2021-03-27 06:18:31,049 - Model - INFO - eval mIoU of Guitar         0.912840
2021-03-27 06:18:31,049 - Model - INFO - eval mIoU of Knife          0.872022
2021-03-27 06:18:31,049 - Model - INFO - eval mIoU of Lamp           0.844736
2021-03-27 06:18:31,049 - Model - INFO - eval mIoU of Laptop         0.954894
2021-03-27 06:18:31,049 - Model - INFO - eval mIoU of Motorbike      0.689794
2021-03-27 06:18:31,049 - Model - INFO - eval mIoU of Mug            0.929088
2021-03-27 06:18:31,049 - Model - INFO - eval mIoU of Pistol         0.823035
2021-03-27 06:18:31,049 - Model - INFO - eval mIoU of Rocket         0.585372
2021-03-27 06:18:31,049 - Model - INFO - eval mIoU of Skateboard     0.760176
2021-03-27 06:18:31,049 - Model - INFO - eval mIoU of Table          0.816790
2021-03-27 06:18:31,050 - Model - INFO - Epoch 72 test Accuracy: 0.941472  Class avg mIOU: 0.813666   Inctance avg mIOU: 0.845148
2021-03-27 06:18:31,050 - Model - INFO - Best accuracy is: 0.94281
2021-03-27 06:18:31,050 - Model - INFO - Best class avg mIOU is: 0.82164
2021-03-27 06:18:31,050 - Model - INFO - Best inctance avg mIOU is: 0.85114
2021-03-27 06:18:31,050 - Model - INFO - Epoch 73 (73/251):
2021-03-27 06:18:31,050 - Model - INFO - Learning rate:0.000125
2021-03-27 06:25:12,431 - Model - INFO - Train accuracy is: 0.95313
2021-03-27 06:26:20,737 - Model - INFO - eval mIoU of Airplane       0.830256
2021-03-27 06:26:20,738 - Model - INFO - eval mIoU of Bag            0.810151
2021-03-27 06:26:20,738 - Model - INFO - eval mIoU of Cap            0.879232
2021-03-27 06:26:20,738 - Model - INFO - eval mIoU of Car            0.768950
2021-03-27 06:26:20,738 - Model - INFO - eval mIoU of Chair          0.906471
2021-03-27 06:26:20,738 - Model - INFO - eval mIoU of Earphone       0.718440
2021-03-27 06:26:20,738 - Model - INFO - eval mIoU of Guitar         0.909905
2021-03-27 06:26:20,738 - Model - INFO - eval mIoU of Knife          0.871889
2021-03-27 06:26:20,738 - Model - INFO - eval mIoU of Lamp           0.843473
2021-03-27 06:26:20,738 - Model - INFO - eval mIoU of Laptop         0.953884
2021-03-27 06:26:20,738 - Model - INFO - eval mIoU of Motorbike      0.714038
2021-03-27 06:26:20,738 - Model - INFO - eval mIoU of Mug            0.934742
2021-03-27 06:26:20,738 - Model - INFO - eval mIoU of Pistol         0.813415
2021-03-27 06:26:20,738 - Model - INFO - eval mIoU of Rocket         0.561156
2021-03-27 06:26:20,739 - Model - INFO - eval mIoU of Skateboard     0.757572
2021-03-27 06:26:20,739 - Model - INFO - eval mIoU of Table          0.818335
2021-03-27 06:26:20,739 - Model - INFO - Epoch 73 test Accuracy: 0.941269  Class avg mIOU: 0.818244   Inctance avg mIOU: 0.849187
2021-03-27 06:26:20,739 - Model - INFO - Best accuracy is: 0.94281
2021-03-27 06:26:20,739 - Model - INFO - Best class avg mIOU is: 0.82164
2021-03-27 06:26:20,740 - Model - INFO - Best inctance avg mIOU is: 0.85114
2021-03-27 06:26:20,740 - Model - INFO - Epoch 74 (74/251):
2021-03-27 06:26:20,740 - Model - INFO - Learning rate:0.000125
2021-03-27 06:33:02,879 - Model - INFO - Train accuracy is: 0.95350
2021-03-27 06:34:10,690 - Model - INFO - eval mIoU of Airplane       0.825204
2021-03-27 06:34:10,691 - Model - INFO - eval mIoU of Bag            0.808293
2021-03-27 06:34:10,691 - Model - INFO - eval mIoU of Cap            0.847800
2021-03-27 06:34:10,691 - Model - INFO - eval mIoU of Car            0.776786
2021-03-27 06:34:10,691 - Model - INFO - eval mIoU of Chair          0.902725
2021-03-27 06:34:10,691 - Model - INFO - eval mIoU of Earphone       0.698575
2021-03-27 06:34:10,691 - Model - INFO - eval mIoU of Guitar         0.909540
2021-03-27 06:34:10,691 - Model - INFO - eval mIoU of Knife          0.871126
2021-03-27 06:34:10,691 - Model - INFO - eval mIoU of Lamp           0.845433
2021-03-27 06:34:10,691 - Model - INFO - eval mIoU of Laptop         0.953927
2021-03-27 06:34:10,691 - Model - INFO - eval mIoU of Motorbike      0.725270
2021-03-27 06:34:10,691 - Model - INFO - eval mIoU of Mug            0.942024
2021-03-27 06:34:10,691 - Model - INFO - eval mIoU of Pistol         0.821088
2021-03-27 06:34:10,691 - Model - INFO - eval mIoU of Rocket         0.571939
2021-03-27 06:34:10,691 - Model - INFO - eval mIoU of Skateboard     0.765910
2021-03-27 06:34:10,691 - Model - INFO - eval mIoU of Table          0.827791
2021-03-27 06:34:10,692 - Model - INFO - Epoch 74 test Accuracy: 0.942648  Class avg mIOU: 0.818339   Inctance avg mIOU: 0.851367
2021-03-27 06:34:10,692 - Model - INFO - Save model...
2021-03-27 06:34:10,692 - Model - INFO - Saving at log/part_seg/pointnet2_part_seg_msg/checkpoints/best_model.pth
2021-03-27 06:34:10,779 - Model - INFO - Saving model....
2021-03-27 06:34:10,779 - Model - INFO - Best accuracy is: 0.94281
2021-03-27 06:34:10,779 - Model - INFO - Best class avg mIOU is: 0.82164
2021-03-27 06:34:10,779 - Model - INFO - Best inctance avg mIOU is: 0.85137
2021-03-27 06:34:10,779 - Model - INFO - Epoch 75 (75/251):
2021-03-27 06:34:10,780 - Model - INFO - Learning rate:0.000125
2021-03-27 06:40:53,616 - Model - INFO - Train accuracy is: 0.95341
2021-03-27 06:42:00,637 - Model - INFO - eval mIoU of Airplane       0.833076
2021-03-27 06:42:00,637 - Model - INFO - eval mIoU of Bag            0.797242
2021-03-27 06:42:00,637 - Model - INFO - eval mIoU of Cap            0.864157
2021-03-27 06:42:00,638 - Model - INFO - eval mIoU of Car            0.774036
2021-03-27 06:42:00,638 - Model - INFO - eval mIoU of Chair          0.907035
2021-03-27 06:42:00,638 - Model - INFO - eval mIoU of Earphone       0.687701
2021-03-27 06:42:00,638 - Model - INFO - eval mIoU of Guitar         0.914526
2021-03-27 06:42:00,638 - Model - INFO - eval mIoU of Knife          0.865397
2021-03-27 06:42:00,638 - Model - INFO - eval mIoU of Lamp           0.843775
2021-03-27 06:42:00,638 - Model - INFO - eval mIoU of Laptop         0.954631
2021-03-27 06:42:00,638 - Model - INFO - eval mIoU of Motorbike      0.714269
2021-03-27 06:42:00,638 - Model - INFO - eval mIoU of Mug            0.950809
2021-03-27 06:42:00,638 - Model - INFO - eval mIoU of Pistol         0.816798
2021-03-27 06:42:00,638 - Model - INFO - eval mIoU of Rocket         0.631232
2021-03-27 06:42:00,638 - Model - INFO - eval mIoU of Skateboard     0.765213
2021-03-27 06:42:00,638 - Model - INFO - eval mIoU of Table          0.826256
2021-03-27 06:42:00,638 - Model - INFO - Epoch 75 test Accuracy: 0.942021  Class avg mIOU: 0.821635   Inctance avg mIOU: 0.852776
2021-03-27 06:42:00,639 - Model - INFO - Save model...
2021-03-27 06:42:00,639 - Model - INFO - Saving at log/part_seg/pointnet2_part_seg_msg/checkpoints/best_model.pth
2021-03-27 06:42:00,721 - Model - INFO - Saving model....
2021-03-27 06:42:00,722 - Model - INFO - Best accuracy is: 0.94281
2021-03-27 06:42:00,722 - Model - INFO - Best class avg mIOU is: 0.82164
2021-03-27 06:42:00,722 - Model - INFO - Best inctance avg mIOU is: 0.85278
2021-03-27 06:42:00,722 - Model - INFO - Epoch 76 (76/251):
2021-03-27 06:42:00,722 - Model - INFO - Learning rate:0.000125
2021-03-27 06:48:37,725 - Model - INFO - Train accuracy is: 0.95358
2021-03-27 06:49:43,809 - Model - INFO - eval mIoU of Airplane       0.810542
2021-03-27 06:49:43,810 - Model - INFO - eval mIoU of Bag            0.810344
2021-03-27 06:49:43,810 - Model - INFO - eval mIoU of Cap            0.821111
2021-03-27 06:49:43,810 - Model - INFO - eval mIoU of Car            0.775024
2021-03-27 06:49:43,810 - Model - INFO - eval mIoU of Chair          0.901638
2021-03-27 06:49:43,810 - Model - INFO - eval mIoU of Earphone       0.723193
2021-03-27 06:49:43,810 - Model - INFO - eval mIoU of Guitar         0.910782
2021-03-27 06:49:43,810 - Model - INFO - eval mIoU of Knife          0.865741
2021-03-27 06:49:43,810 - Model - INFO - eval mIoU of Lamp           0.843412
2021-03-27 06:49:43,810 - Model - INFO - eval mIoU of Laptop         0.954598
2021-03-27 06:49:43,810 - Model - INFO - eval mIoU of Motorbike      0.664122
2021-03-27 06:49:43,810 - Model - INFO - eval mIoU of Mug            0.936943
2021-03-27 06:49:43,810 - Model - INFO - eval mIoU of Pistol         0.831253
2021-03-27 06:49:43,810 - Model - INFO - eval mIoU of Rocket         0.580673
2021-03-27 06:49:43,810 - Model - INFO - eval mIoU of Skateboard     0.756904
2021-03-27 06:49:43,810 - Model - INFO - eval mIoU of Table          0.828653
2021-03-27 06:49:43,811 - Model - INFO - Epoch 76 test Accuracy: 0.941631  Class avg mIOU: 0.813433   Inctance avg mIOU: 0.848227
2021-03-27 06:49:43,811 - Model - INFO - Best accuracy is: 0.94281
2021-03-27 06:49:43,811 - Model - INFO - Best class avg mIOU is: 0.82164
2021-03-27 06:49:43,811 - Model - INFO - Best inctance avg mIOU is: 0.85278
2021-03-27 06:49:43,811 - Model - INFO - Epoch 77 (77/251):
2021-03-27 06:49:43,811 - Model - INFO - Learning rate:0.000125
2021-03-27 06:56:23,101 - Model - INFO - Train accuracy is: 0.95351
2021-03-27 06:57:31,416 - Model - INFO - eval mIoU of Airplane       0.817841
2021-03-27 06:57:31,416 - Model - INFO - eval mIoU of Bag            0.834952
2021-03-27 06:57:31,416 - Model - INFO - eval mIoU of Cap            0.858842
2021-03-27 06:57:31,417 - Model - INFO - eval mIoU of Car            0.779359
2021-03-27 06:57:31,417 - Model - INFO - eval mIoU of Chair          0.903983
2021-03-27 06:57:31,417 - Model - INFO - eval mIoU of Earphone       0.680273
2021-03-27 06:57:31,417 - Model - INFO - eval mIoU of Guitar         0.912599
2021-03-27 06:57:31,417 - Model - INFO - eval mIoU of Knife          0.868335
2021-03-27 06:57:31,417 - Model - INFO - eval mIoU of Lamp           0.846165
2021-03-27 06:57:31,417 - Model - INFO - eval mIoU of Laptop         0.954753
2021-03-27 06:57:31,417 - Model - INFO - eval mIoU of Motorbike      0.695926
2021-03-27 06:57:31,417 - Model - INFO - eval mIoU of Mug            0.952320
2021-03-27 06:57:31,417 - Model - INFO - eval mIoU of Pistol         0.830167
2021-03-27 06:57:31,417 - Model - INFO - eval mIoU of Rocket         0.597646
2021-03-27 06:57:31,417 - Model - INFO - eval mIoU of Skateboard     0.758155
2021-03-27 06:57:31,417 - Model - INFO - eval mIoU of Table          0.825921
2021-03-27 06:57:31,417 - Model - INFO - Epoch 77 test Accuracy: 0.942602  Class avg mIOU: 0.819827   Inctance avg mIOU: 0.850441
2021-03-27 06:57:31,417 - Model - INFO - Best accuracy is: 0.94281
2021-03-27 06:57:31,417 - Model - INFO - Best class avg mIOU is: 0.82164
2021-03-27 06:57:31,417 - Model - INFO - Best inctance avg mIOU is: 0.85278
2021-03-27 06:57:31,418 - Model - INFO - Epoch 78 (78/251):
2021-03-27 06:57:31,418 - Model - INFO - Learning rate:0.000125
2021-03-27 07:04:18,205 - Model - INFO - Train accuracy is: 0.95344
2021-03-27 07:05:28,034 - Model - INFO - eval mIoU of Airplane       0.822395
2021-03-27 07:05:28,034 - Model - INFO - eval mIoU of Bag            0.835353
2021-03-27 07:05:28,034 - Model - INFO - eval mIoU of Cap            0.848199
2021-03-27 07:05:28,034 - Model - INFO - eval mIoU of Car            0.782854
2021-03-27 07:05:28,034 - Model - INFO - eval mIoU of Chair          0.902481
2021-03-27 07:05:28,034 - Model - INFO - eval mIoU of Earphone       0.697528
2021-03-27 07:05:28,035 - Model - INFO - eval mIoU of Guitar         0.911604
2021-03-27 07:05:28,035 - Model - INFO - eval mIoU of Knife          0.877170
2021-03-27 07:05:28,035 - Model - INFO - eval mIoU of Lamp           0.846803
2021-03-27 07:05:28,035 - Model - INFO - eval mIoU of Laptop         0.954899
2021-03-27 07:05:28,035 - Model - INFO - eval mIoU of Motorbike      0.712406
2021-03-27 07:05:28,035 - Model - INFO - eval mIoU of Mug            0.936288
2021-03-27 07:05:28,035 - Model - INFO - eval mIoU of Pistol         0.805104
2021-03-27 07:05:28,035 - Model - INFO - eval mIoU of Rocket         0.526143
2021-03-27 07:05:28,035 - Model - INFO - eval mIoU of Skateboard     0.764751
2021-03-27 07:05:28,035 - Model - INFO - eval mIoU of Table          0.828060
2021-03-27 07:05:28,035 - Model - INFO - Epoch 78 test Accuracy: 0.942599  Class avg mIOU: 0.815752   Inctance avg mIOU: 0.851210
2021-03-27 07:05:28,035 - Model - INFO - Best accuracy is: 0.94281
2021-03-27 07:05:28,035 - Model - INFO - Best class avg mIOU is: 0.82164
2021-03-27 07:05:28,035 - Model - INFO - Best inctance avg mIOU is: 0.85278
2021-03-27 07:05:28,036 - Model - INFO - Epoch 79 (79/251):
2021-03-27 07:05:28,036 - Model - INFO - Learning rate:0.000125
2021-03-27 07:12:08,598 - Model - INFO - Train accuracy is: 0.95347
2021-03-27 07:13:14,954 - Model - INFO - eval mIoU of Airplane       0.814376
2021-03-27 07:13:14,955 - Model - INFO - eval mIoU of Bag            0.798647
2021-03-27 07:13:14,955 - Model - INFO - eval mIoU of Cap            0.805883
2021-03-27 07:13:14,955 - Model - INFO - eval mIoU of Car            0.752191
2021-03-27 07:13:14,955 - Model - INFO - eval mIoU of Chair          0.902481
2021-03-27 07:13:14,955 - Model - INFO - eval mIoU of Earphone       0.733584
2021-03-27 07:13:14,955 - Model - INFO - eval mIoU of Guitar         0.905251
2021-03-27 07:13:14,955 - Model - INFO - eval mIoU of Knife          0.874251
2021-03-27 07:13:14,956 - Model - INFO - eval mIoU of Lamp           0.828267
2021-03-27 07:13:14,956 - Model - INFO - eval mIoU of Laptop         0.952465
2021-03-27 07:13:14,956 - Model - INFO - eval mIoU of Motorbike      0.704365
2021-03-27 07:13:14,956 - Model - INFO - eval mIoU of Mug            0.941518
2021-03-27 07:13:14,956 - Model - INFO - eval mIoU of Pistol         0.808402
2021-03-27 07:13:14,956 - Model - INFO - eval mIoU of Rocket         0.607885
2021-03-27 07:13:14,956 - Model - INFO - eval mIoU of Skateboard     0.762233
2021-03-27 07:13:14,956 - Model - INFO - eval mIoU of Table          0.817535
2021-03-27 07:13:14,957 - Model - INFO - Epoch 79 test Accuracy: 0.939265  Class avg mIOU: 0.813083   Inctance avg mIOU: 0.843246
2021-03-27 07:13:14,957 - Model - INFO - Best accuracy is: 0.94281
2021-03-27 07:13:14,957 - Model - INFO - Best class avg mIOU is: 0.82164
2021-03-27 07:13:14,957 - Model - INFO - Best inctance avg mIOU is: 0.85278
2021-03-27 07:13:14,957 - Model - INFO - Epoch 80 (80/251):
2021-03-27 07:13:14,957 - Model - INFO - Learning rate:0.000125
2021-03-27 07:20:01,585 - Model - INFO - Train accuracy is: 0.95361
2021-03-27 07:21:09,062 - Model - INFO - eval mIoU of Airplane       0.810732
2021-03-27 07:21:09,063 - Model - INFO - eval mIoU of Bag            0.810216
2021-03-27 07:21:09,063 - Model - INFO - eval mIoU of Cap            0.829931
2021-03-27 07:21:09,063 - Model - INFO - eval mIoU of Car            0.749789
2021-03-27 07:21:09,063 - Model - INFO - eval mIoU of Chair          0.900530
2021-03-27 07:21:09,063 - Model - INFO - eval mIoU of Earphone       0.730916
2021-03-27 07:21:09,063 - Model - INFO - eval mIoU of Guitar         0.911790
2021-03-27 07:21:09,063 - Model - INFO - eval mIoU of Knife          0.870390
2021-03-27 07:21:09,063 - Model - INFO - eval mIoU of Lamp           0.840857
2021-03-27 07:21:09,064 - Model - INFO - eval mIoU of Laptop         0.954802
2021-03-27 07:21:09,064 - Model - INFO - eval mIoU of Motorbike      0.715663
2021-03-27 07:21:09,064 - Model - INFO - eval mIoU of Mug            0.930950
2021-03-27 07:21:09,064 - Model - INFO - eval mIoU of Pistol         0.808431
2021-03-27 07:21:09,064 - Model - INFO - eval mIoU of Rocket         0.590333
2021-03-27 07:21:09,064 - Model - INFO - eval mIoU of Skateboard     0.760398
2021-03-27 07:21:09,064 - Model - INFO - eval mIoU of Table          0.820152
2021-03-27 07:21:09,064 - Model - INFO - Epoch 80 test Accuracy: 0.941214  Class avg mIOU: 0.814743   Inctance avg mIOU: 0.844654
2021-03-27 07:21:09,064 - Model - INFO - Best accuracy is: 0.94281
2021-03-27 07:21:09,064 - Model - INFO - Best class avg mIOU is: 0.82164
2021-03-27 07:21:09,065 - Model - INFO - Best inctance avg mIOU is: 0.85278
2021-03-27 07:21:09,065 - Model - INFO - Epoch 81 (81/251):
2021-03-27 07:21:09,065 - Model - INFO - Learning rate:0.000063
2021-03-27 07:27:51,150 - Model - INFO - Train accuracy is: 0.95436
2021-03-27 07:29:00,233 - Model - INFO - eval mIoU of Airplane       0.819029
2021-03-27 07:29:00,233 - Model - INFO - eval mIoU of Bag            0.846507
2021-03-27 07:29:00,233 - Model - INFO - eval mIoU of Cap            0.858299
2021-03-27 07:29:00,233 - Model - INFO - eval mIoU of Car            0.770296
2021-03-27 07:29:00,234 - Model - INFO - eval mIoU of Chair          0.906075
2021-03-27 07:29:00,234 - Model - INFO - eval mIoU of Earphone       0.730905
2021-03-27 07:29:00,234 - Model - INFO - eval mIoU of Guitar         0.900189
2021-03-27 07:29:00,234 - Model - INFO - eval mIoU of Knife          0.874061
2021-03-27 07:29:00,234 - Model - INFO - eval mIoU of Lamp           0.855879
2021-03-27 07:29:00,234 - Model - INFO - eval mIoU of Laptop         0.954763
2021-03-27 07:29:00,234 - Model - INFO - eval mIoU of Motorbike      0.734419
2021-03-27 07:29:00,234 - Model - INFO - eval mIoU of Mug            0.936797
2021-03-27 07:29:00,234 - Model - INFO - eval mIoU of Pistol         0.816643
2021-03-27 07:29:00,234 - Model - INFO - eval mIoU of Rocket         0.583793
2021-03-27 07:29:00,234 - Model - INFO - eval mIoU of Skateboard     0.762145
2021-03-27 07:29:00,234 - Model - INFO - eval mIoU of Table          0.823251
2021-03-27 07:29:00,234 - Model - INFO - Epoch 81 test Accuracy: 0.943194  Class avg mIOU: 0.823316   Inctance avg mIOU: 0.850805
2021-03-27 07:29:00,234 - Model - INFO - Best accuracy is: 0.94319
2021-03-27 07:29:00,235 - Model - INFO - Best class avg mIOU is: 0.82332
2021-03-27 07:29:00,235 - Model - INFO - Best inctance avg mIOU is: 0.85278
2021-03-27 07:29:00,235 - Model - INFO - Epoch 82 (82/251):
2021-03-27 07:29:00,235 - Model - INFO - Learning rate:0.000063
2021-03-27 07:35:36,740 - Model - INFO - Train accuracy is: 0.95482
2021-03-27 07:36:45,537 - Model - INFO - eval mIoU of Airplane       0.818196
2021-03-27 07:36:45,537 - Model - INFO - eval mIoU of Bag            0.827139
2021-03-27 07:36:45,537 - Model - INFO - eval mIoU of Cap            0.850448
2021-03-27 07:36:45,537 - Model - INFO - eval mIoU of Car            0.777643
2021-03-27 07:36:45,537 - Model - INFO - eval mIoU of Chair          0.904765
2021-03-27 07:36:45,538 - Model - INFO - eval mIoU of Earphone       0.729892
2021-03-27 07:36:45,538 - Model - INFO - eval mIoU of Guitar         0.909426
2021-03-27 07:36:45,538 - Model - INFO - eval mIoU of Knife          0.874226
2021-03-27 07:36:45,538 - Model - INFO - eval mIoU of Lamp           0.842402
2021-03-27 07:36:45,538 - Model - INFO - eval mIoU of Laptop         0.955803
2021-03-27 07:36:45,538 - Model - INFO - eval mIoU of Motorbike      0.714825
2021-03-27 07:36:45,538 - Model - INFO - eval mIoU of Mug            0.951457
2021-03-27 07:36:45,538 - Model - INFO - eval mIoU of Pistol         0.819033
2021-03-27 07:36:45,538 - Model - INFO - eval mIoU of Rocket         0.593776
2021-03-27 07:36:45,538 - Model - INFO - eval mIoU of Skateboard     0.762296
2021-03-27 07:36:45,538 - Model - INFO - eval mIoU of Table          0.827941
2021-03-27 07:36:45,538 - Model - INFO - Epoch 82 test Accuracy: 0.942723  Class avg mIOU: 0.822454   Inctance avg mIOU: 0.851175
2021-03-27 07:36:45,539 - Model - INFO - Best accuracy is: 0.94319
2021-03-27 07:36:45,539 - Model - INFO - Best class avg mIOU is: 0.82332
2021-03-27 07:36:45,539 - Model - INFO - Best inctance avg mIOU is: 0.85278
2021-03-27 07:36:45,539 - Model - INFO - Epoch 83 (83/251):
2021-03-27 07:36:45,539 - Model - INFO - Learning rate:0.000063
2021-03-27 07:43:27,479 - Model - INFO - Train accuracy is: 0.95481
2021-03-27 07:44:36,294 - Model - INFO - eval mIoU of Airplane       0.819901
2021-03-27 07:44:36,295 - Model - INFO - eval mIoU of Bag            0.826995
2021-03-27 07:44:36,295 - Model - INFO - eval mIoU of Cap            0.841050
2021-03-27 07:44:36,295 - Model - INFO - eval mIoU of Car            0.773892
2021-03-27 07:44:36,295 - Model - INFO - eval mIoU of Chair          0.901170
2021-03-27 07:44:36,295 - Model - INFO - eval mIoU of Earphone       0.695897
2021-03-27 07:44:36,295 - Model - INFO - eval mIoU of Guitar         0.908067
2021-03-27 07:44:36,295 - Model - INFO - eval mIoU of Knife          0.870620
2021-03-27 07:44:36,295 - Model - INFO - eval mIoU of Lamp           0.843056
2021-03-27 07:44:36,295 - Model - INFO - eval mIoU of Laptop         0.953480
2021-03-27 07:44:36,295 - Model - INFO - eval mIoU of Motorbike      0.712040
2021-03-27 07:44:36,296 - Model - INFO - eval mIoU of Mug            0.949745
2021-03-27 07:44:36,296 - Model - INFO - eval mIoU of Pistol         0.825606
2021-03-27 07:44:36,296 - Model - INFO - eval mIoU of Rocket         0.610574
2021-03-27 07:44:36,296 - Model - INFO - eval mIoU of Skateboard     0.756492
2021-03-27 07:44:36,296 - Model - INFO - eval mIoU of Table          0.821834
2021-03-27 07:44:36,296 - Model - INFO - Epoch 83 test Accuracy: 0.942191  Class avg mIOU: 0.819401   Inctance avg mIOU: 0.848144
2021-03-27 07:44:36,296 - Model - INFO - Best accuracy is: 0.94319
2021-03-27 07:44:36,297 - Model - INFO - Best class avg mIOU is: 0.82332
2021-03-27 07:44:36,297 - Model - INFO - Best inctance avg mIOU is: 0.85278
2021-03-27 07:44:36,297 - Model - INFO - Epoch 84 (84/251):
2021-03-27 07:44:36,297 - Model - INFO - Learning rate:0.000063
2021-03-27 07:51:13,368 - Model - INFO - Train accuracy is: 0.95487
2021-03-27 07:52:19,752 - Model - INFO - eval mIoU of Airplane       0.821694
2021-03-27 07:52:19,752 - Model - INFO - eval mIoU of Bag            0.815332
2021-03-27 07:52:19,752 - Model - INFO - eval mIoU of Cap            0.849524
2021-03-27 07:52:19,752 - Model - INFO - eval mIoU of Car            0.772298
2021-03-27 07:52:19,752 - Model - INFO - eval mIoU of Chair          0.903557
2021-03-27 07:52:19,752 - Model - INFO - eval mIoU of Earphone       0.685984
2021-03-27 07:52:19,752 - Model - INFO - eval mIoU of Guitar         0.911942
2021-03-27 07:52:19,752 - Model - INFO - eval mIoU of Knife          0.869775
2021-03-27 07:52:19,753 - Model - INFO - eval mIoU of Lamp           0.847322
2021-03-27 07:52:19,753 - Model - INFO - eval mIoU of Laptop         0.952343
2021-03-27 07:52:19,753 - Model - INFO - eval mIoU of Motorbike      0.723675
2021-03-27 07:52:19,753 - Model - INFO - eval mIoU of Mug            0.937510
2021-03-27 07:52:19,753 - Model - INFO - eval mIoU of Pistol         0.817792
2021-03-27 07:52:19,753 - Model - INFO - eval mIoU of Rocket         0.589734
2021-03-27 07:52:19,753 - Model - INFO - eval mIoU of Skateboard     0.756621
2021-03-27 07:52:19,753 - Model - INFO - eval mIoU of Table          0.826275
2021-03-27 07:52:19,753 - Model - INFO - Epoch 84 test Accuracy: 0.943155  Class avg mIOU: 0.817586   Inctance avg mIOU: 0.850514
2021-03-27 07:52:19,753 - Model - INFO - Best accuracy is: 0.94319
2021-03-27 07:52:19,753 - Model - INFO - Best class avg mIOU is: 0.82332
2021-03-27 07:52:19,753 - Model - INFO - Best inctance avg mIOU is: 0.85278
2021-03-27 07:52:19,754 - Model - INFO - Epoch 85 (85/251):
2021-03-27 07:52:19,754 - Model - INFO - Learning rate:0.000063
2021-03-27 07:59:09,083 - Model - INFO - Train accuracy is: 0.95517
2021-03-27 08:00:17,678 - Model - INFO - eval mIoU of Airplane       0.820701
2021-03-27 08:00:17,679 - Model - INFO - eval mIoU of Bag            0.811203
2021-03-27 08:00:17,679 - Model - INFO - eval mIoU of Cap            0.854854
2021-03-27 08:00:17,679 - Model - INFO - eval mIoU of Car            0.778660
2021-03-27 08:00:17,679 - Model - INFO - eval mIoU of Chair          0.905884
2021-03-27 08:00:17,679 - Model - INFO - eval mIoU of Earphone       0.730516
2021-03-27 08:00:17,679 - Model - INFO - eval mIoU of Guitar         0.908500
2021-03-27 08:00:17,679 - Model - INFO - eval mIoU of Knife          0.868193
2021-03-27 08:00:17,679 - Model - INFO - eval mIoU of Lamp           0.851085
2021-03-27 08:00:17,679 - Model - INFO - eval mIoU of Laptop         0.953594
2021-03-27 08:00:17,679 - Model - INFO - eval mIoU of Motorbike      0.721575
2021-03-27 08:00:17,679 - Model - INFO - eval mIoU of Mug            0.939219
2021-03-27 08:00:17,679 - Model - INFO - eval mIoU of Pistol         0.824219
2021-03-27 08:00:17,679 - Model - INFO - eval mIoU of Rocket         0.605739
2021-03-27 08:00:17,679 - Model - INFO - eval mIoU of Skateboard     0.761224
2021-03-27 08:00:17,679 - Model - INFO - eval mIoU of Table          0.827886
2021-03-27 08:00:17,680 - Model - INFO - Epoch 85 test Accuracy: 0.942981  Class avg mIOU: 0.822691   Inctance avg mIOU: 0.852384
2021-03-27 08:00:17,680 - Model - INFO - Best accuracy is: 0.94319
2021-03-27 08:00:17,680 - Model - INFO - Best class avg mIOU is: 0.82332
2021-03-27 08:00:17,680 - Model - INFO - Best inctance avg mIOU is: 0.85278
2021-03-27 08:00:17,680 - Model - INFO - Epoch 86 (86/251):
2021-03-27 08:00:17,680 - Model - INFO - Learning rate:0.000063
2021-03-27 08:07:01,478 - Model - INFO - Train accuracy is: 0.95505
2021-03-27 08:08:10,558 - Model - INFO - eval mIoU of Airplane       0.821425
2021-03-27 08:08:10,559 - Model - INFO - eval mIoU of Bag            0.816650
2021-03-27 08:08:10,559 - Model - INFO - eval mIoU of Cap            0.858563
2021-03-27 08:08:10,559 - Model - INFO - eval mIoU of Car            0.769943
2021-03-27 08:08:10,559 - Model - INFO - eval mIoU of Chair          0.903339
2021-03-27 08:08:10,559 - Model - INFO - eval mIoU of Earphone       0.689639
2021-03-27 08:08:10,559 - Model - INFO - eval mIoU of Guitar         0.908525
2021-03-27 08:08:10,559 - Model - INFO - eval mIoU of Knife          0.866073
2021-03-27 08:08:10,559 - Model - INFO - eval mIoU of Lamp           0.843200
2021-03-27 08:08:10,559 - Model - INFO - eval mIoU of Laptop         0.955644
2021-03-27 08:08:10,559 - Model - INFO - eval mIoU of Motorbike      0.710542
2021-03-27 08:08:10,559 - Model - INFO - eval mIoU of Mug            0.938292
2021-03-27 08:08:10,559 - Model - INFO - eval mIoU of Pistol         0.810245
2021-03-27 08:08:10,559 - Model - INFO - eval mIoU of Rocket         0.592115
2021-03-27 08:08:10,559 - Model - INFO - eval mIoU of Skateboard     0.764862
2021-03-27 08:08:10,559 - Model - INFO - eval mIoU of Table          0.828427
2021-03-27 08:08:10,560 - Model - INFO - Epoch 86 test Accuracy: 0.942421  Class avg mIOU: 0.817343   Inctance avg mIOU: 0.850146
2021-03-27 08:08:10,560 - Model - INFO - Best accuracy is: 0.94319
2021-03-27 08:08:10,560 - Model - INFO - Best class avg mIOU is: 0.82332
2021-03-27 08:08:10,560 - Model - INFO - Best inctance avg mIOU is: 0.85278
2021-03-27 08:08:10,560 - Model - INFO - Epoch 87 (87/251):
2021-03-27 08:08:10,560 - Model - INFO - Learning rate:0.000063
2021-03-27 08:14:50,654 - Model - INFO - Train accuracy is: 0.95507
2021-03-27 08:15:58,830 - Model - INFO - eval mIoU of Airplane       0.822102
2021-03-27 08:15:58,830 - Model - INFO - eval mIoU of Bag            0.790079
2021-03-27 08:15:58,830 - Model - INFO - eval mIoU of Cap            0.855325
2021-03-27 08:15:58,830 - Model - INFO - eval mIoU of Car            0.773067
2021-03-27 08:15:58,830 - Model - INFO - eval mIoU of Chair          0.903686
2021-03-27 08:15:58,830 - Model - INFO - eval mIoU of Earphone       0.703512
2021-03-27 08:15:58,830 - Model - INFO - eval mIoU of Guitar         0.907275
2021-03-27 08:15:58,831 - Model - INFO - eval mIoU of Knife          0.877941
2021-03-27 08:15:58,831 - Model - INFO - eval mIoU of Lamp           0.849218
2021-03-27 08:15:58,831 - Model - INFO - eval mIoU of Laptop         0.954435
2021-03-27 08:15:58,831 - Model - INFO - eval mIoU of Motorbike      0.723945
2021-03-27 08:15:58,831 - Model - INFO - eval mIoU of Mug            0.957847
2021-03-27 08:15:58,831 - Model - INFO - eval mIoU of Pistol         0.821950
2021-03-27 08:15:58,831 - Model - INFO - eval mIoU of Rocket         0.596976
2021-03-27 08:15:58,831 - Model - INFO - eval mIoU of Skateboard     0.756623
2021-03-27 08:15:58,831 - Model - INFO - eval mIoU of Table          0.824903
2021-03-27 08:15:58,831 - Model - INFO - Epoch 87 test Accuracy: 0.942789  Class avg mIOU: 0.819930   Inctance avg mIOU: 0.850802
2021-03-27 08:15:58,831 - Model - INFO - Best accuracy is: 0.94319
2021-03-27 08:15:58,831 - Model - INFO - Best class avg mIOU is: 0.82332
2021-03-27 08:15:58,831 - Model - INFO - Best inctance avg mIOU is: 0.85278
2021-03-27 08:15:58,832 - Model - INFO - Epoch 88 (88/251):
2021-03-27 08:15:58,832 - Model - INFO - Learning rate:0.000063
2021-03-27 08:22:37,185 - Model - INFO - Train accuracy is: 0.95508
2021-03-27 08:23:43,778 - Model - INFO - eval mIoU of Airplane       0.826364
2021-03-27 08:23:43,778 - Model - INFO - eval mIoU of Bag            0.835314
2021-03-27 08:23:43,778 - Model - INFO - eval mIoU of Cap            0.808961
2021-03-27 08:23:43,778 - Model - INFO - eval mIoU of Car            0.774469
2021-03-27 08:23:43,778 - Model - INFO - eval mIoU of Chair          0.906985
2021-03-27 08:23:43,778 - Model - INFO - eval mIoU of Earphone       0.701580
2021-03-27 08:23:43,778 - Model - INFO - eval mIoU of Guitar         0.907158
2021-03-27 08:23:43,778 - Model - INFO - eval mIoU of Knife          0.871028
2021-03-27 08:23:43,778 - Model - INFO - eval mIoU of Lamp           0.848345
2021-03-27 08:23:43,778 - Model - INFO - eval mIoU of Laptop         0.953473
2021-03-27 08:23:43,779 - Model - INFO - eval mIoU of Motorbike      0.719170
2021-03-27 08:23:43,779 - Model - INFO - eval mIoU of Mug            0.952881
2021-03-27 08:23:43,779 - Model - INFO - eval mIoU of Pistol         0.829298
2021-03-27 08:23:43,779 - Model - INFO - eval mIoU of Rocket         0.595161
2021-03-27 08:23:43,779 - Model - INFO - eval mIoU of Skateboard     0.760668
2021-03-27 08:23:43,779 - Model - INFO - eval mIoU of Table          0.825335
2021-03-27 08:23:43,779 - Model - INFO - Epoch 88 test Accuracy: 0.942444  Class avg mIOU: 0.819762   Inctance avg mIOU: 0.852038
2021-03-27 08:23:43,779 - Model - INFO - Best accuracy is: 0.94319
2021-03-27 08:23:43,779 - Model - INFO - Best class avg mIOU is: 0.82332
2021-03-27 08:23:43,779 - Model - INFO - Best inctance avg mIOU is: 0.85278
2021-03-27 08:23:43,779 - Model - INFO - Epoch 89 (89/251):
2021-03-27 08:23:43,779 - Model - INFO - Learning rate:0.000063
2021-03-27 08:30:27,820 - Model - INFO - Train accuracy is: 0.95521
2021-03-27 08:31:34,763 - Model - INFO - eval mIoU of Airplane       0.827847
2021-03-27 08:31:34,764 - Model - INFO - eval mIoU of Bag            0.818288
2021-03-27 08:31:34,764 - Model - INFO - eval mIoU of Cap            0.866676
2021-03-27 08:31:34,764 - Model - INFO - eval mIoU of Car            0.771113
2021-03-27 08:31:34,764 - Model - INFO - eval mIoU of Chair          0.906148
2021-03-27 08:31:34,764 - Model - INFO - eval mIoU of Earphone       0.692666
2021-03-27 08:31:34,764 - Model - INFO - eval mIoU of Guitar         0.908491
2021-03-27 08:31:34,764 - Model - INFO - eval mIoU of Knife          0.875272
2021-03-27 08:31:34,764 - Model - INFO - eval mIoU of Lamp           0.836115
2021-03-27 08:31:34,765 - Model - INFO - eval mIoU of Laptop         0.952510
2021-03-27 08:31:34,765 - Model - INFO - eval mIoU of Motorbike      0.722109
2021-03-27 08:31:34,765 - Model - INFO - eval mIoU of Mug            0.950295
2021-03-27 08:31:34,765 - Model - INFO - eval mIoU of Pistol         0.813165
2021-03-27 08:31:34,765 - Model - INFO - eval mIoU of Rocket         0.612954
2021-03-27 08:31:34,765 - Model - INFO - eval mIoU of Skateboard     0.766464
2021-03-27 08:31:34,765 - Model - INFO - eval mIoU of Table          0.829546
2021-03-27 08:31:34,766 - Model - INFO - Epoch 89 test Accuracy: 0.942694  Class avg mIOU: 0.821854   Inctance avg mIOU: 0.852016
2021-03-27 08:31:34,766 - Model - INFO - Best accuracy is: 0.94319
2021-03-27 08:31:34,766 - Model - INFO - Best class avg mIOU is: 0.82332
2021-03-27 08:31:34,766 - Model - INFO - Best inctance avg mIOU is: 0.85278
2021-03-27 08:31:34,766 - Model - INFO - Epoch 90 (90/251):
2021-03-27 08:31:34,766 - Model - INFO - Learning rate:0.000063
2021-03-27 08:38:20,795 - Model - INFO - Train accuracy is: 0.95527
2021-03-27 08:39:28,458 - Model - INFO - eval mIoU of Airplane       0.825929
2021-03-27 08:39:28,458 - Model - INFO - eval mIoU of Bag            0.812837
2021-03-27 08:39:28,458 - Model - INFO - eval mIoU of Cap            0.858925
2021-03-27 08:39:28,458 - Model - INFO - eval mIoU of Car            0.777061
2021-03-27 08:39:28,458 - Model - INFO - eval mIoU of Chair          0.906232
2021-03-27 08:39:28,458 - Model - INFO - eval mIoU of Earphone       0.730288
2021-03-27 08:39:28,458 - Model - INFO - eval mIoU of Guitar         0.909917
2021-03-27 08:39:28,458 - Model - INFO - eval mIoU of Knife          0.872366
2021-03-27 08:39:28,459 - Model - INFO - eval mIoU of Lamp           0.843252
2021-03-27 08:39:28,459 - Model - INFO - eval mIoU of Laptop         0.954089
2021-03-27 08:39:28,459 - Model - INFO - eval mIoU of Motorbike      0.719311
2021-03-27 08:39:28,459 - Model - INFO - eval mIoU of Mug            0.948359
2021-03-27 08:39:28,459 - Model - INFO - eval mIoU of Pistol         0.818199
2021-03-27 08:39:28,459 - Model - INFO - eval mIoU of Rocket         0.617630
2021-03-27 08:39:28,459 - Model - INFO - eval mIoU of Skateboard     0.760808
2021-03-27 08:39:28,459 - Model - INFO - eval mIoU of Table          0.821889
2021-03-27 08:39:28,459 - Model - INFO - Epoch 90 test Accuracy: 0.942776  Class avg mIOU: 0.823568   Inctance avg mIOU: 0.850718
2021-03-27 08:39:28,459 - Model - INFO - Best accuracy is: 0.94319
2021-03-27 08:39:28,459 - Model - INFO - Best class avg mIOU is: 0.82357
2021-03-27 08:39:28,459 - Model - INFO - Best inctance avg mIOU is: 0.85278
2021-03-27 08:39:28,460 - Model - INFO - Epoch 91 (91/251):
2021-03-27 08:39:28,460 - Model - INFO - Learning rate:0.000063
2021-03-27 08:46:04,593 - Model - INFO - Train accuracy is: 0.95513
2021-03-27 08:47:11,970 - Model - INFO - eval mIoU of Airplane       0.828464
2021-03-27 08:47:11,970 - Model - INFO - eval mIoU of Bag            0.816129
2021-03-27 08:47:11,971 - Model - INFO - eval mIoU of Cap            0.850153
2021-03-27 08:47:11,971 - Model - INFO - eval mIoU of Car            0.771390
2021-03-27 08:47:11,971 - Model - INFO - eval mIoU of Chair          0.904884
2021-03-27 08:47:11,971 - Model - INFO - eval mIoU of Earphone       0.671827
2021-03-27 08:47:11,971 - Model - INFO - eval mIoU of Guitar         0.908786
2021-03-27 08:47:11,971 - Model - INFO - eval mIoU of Knife          0.868445
2021-03-27 08:47:11,971 - Model - INFO - eval mIoU of Lamp           0.846280
2021-03-27 08:47:11,971 - Model - INFO - eval mIoU of Laptop         0.955255
2021-03-27 08:47:11,971 - Model - INFO - eval mIoU of Motorbike      0.717218
2021-03-27 08:47:11,971 - Model - INFO - eval mIoU of Mug            0.949481
2021-03-27 08:47:11,971 - Model - INFO - eval mIoU of Pistol         0.813020
2021-03-27 08:47:11,971 - Model - INFO - eval mIoU of Rocket         0.598130
2021-03-27 08:47:11,971 - Model - INFO - eval mIoU of Skateboard     0.758369
2021-03-27 08:47:11,971 - Model - INFO - eval mIoU of Table          0.828384
2021-03-27 08:47:11,972 - Model - INFO - Epoch 91 test Accuracy: 0.943048  Class avg mIOU: 0.817888   Inctance avg mIOU: 0.851945
2021-03-27 08:47:11,972 - Model - INFO - Best accuracy is: 0.94319
2021-03-27 08:47:11,972 - Model - INFO - Best class avg mIOU is: 0.82357
2021-03-27 08:47:11,972 - Model - INFO - Best inctance avg mIOU is: 0.85278
2021-03-27 08:47:11,972 - Model - INFO - Epoch 92 (92/251):
2021-03-27 08:47:11,972 - Model - INFO - Learning rate:0.000063
2021-03-27 08:53:52,620 - Model - INFO - Train accuracy is: 0.95519
2021-03-27 08:55:00,996 - Model - INFO - eval mIoU of Airplane       0.822648
2021-03-27 08:55:00,998 - Model - INFO - eval mIoU of Bag            0.796805
2021-03-27 08:55:00,999 - Model - INFO - eval mIoU of Cap            0.853916
2021-03-27 08:55:00,999 - Model - INFO - eval mIoU of Car            0.776219
2021-03-27 08:55:00,999 - Model - INFO - eval mIoU of Chair          0.903053
2021-03-27 08:55:00,999 - Model - INFO - eval mIoU of Earphone       0.733580
2021-03-27 08:55:00,999 - Model - INFO - eval mIoU of Guitar         0.909274
2021-03-27 08:55:00,999 - Model - INFO - eval mIoU of Knife          0.869629
2021-03-27 08:55:00,999 - Model - INFO - eval mIoU of Lamp           0.842581
2021-03-27 08:55:00,999 - Model - INFO - eval mIoU of Laptop         0.950722
2021-03-27 08:55:00,999 - Model - INFO - eval mIoU of Motorbike      0.708929
2021-03-27 08:55:00,999 - Model - INFO - eval mIoU of Mug            0.957613
2021-03-27 08:55:01,000 - Model - INFO - eval mIoU of Pistol         0.808980
2021-03-27 08:55:01,000 - Model - INFO - eval mIoU of Rocket         0.609491
2021-03-27 08:55:01,000 - Model - INFO - eval mIoU of Skateboard     0.768142
2021-03-27 08:55:01,000 - Model - INFO - eval mIoU of Table          0.825801
2021-03-27 08:55:01,001 - Model - INFO - Epoch 92 test Accuracy: 0.942295  Class avg mIOU: 0.821086   Inctance avg mIOU: 0.850143
2021-03-27 08:55:01,001 - Model - INFO - Best accuracy is: 0.94319
2021-03-27 08:55:01,001 - Model - INFO - Best class avg mIOU is: 0.82357
2021-03-27 08:55:01,001 - Model - INFO - Best inctance avg mIOU is: 0.85278
2021-03-27 08:55:01,001 - Model - INFO - Epoch 93 (93/251):
2021-03-27 08:55:01,001 - Model - INFO - Learning rate:0.000063
2021-03-27 09:01:48,004 - Model - INFO - Train accuracy is: 0.95494
2021-03-27 09:02:54,341 - Model - INFO - eval mIoU of Airplane       0.819023
2021-03-27 09:02:54,341 - Model - INFO - eval mIoU of Bag            0.804206
2021-03-27 09:02:54,341 - Model - INFO - eval mIoU of Cap            0.848604
2021-03-27 09:02:54,341 - Model - INFO - eval mIoU of Car            0.773988
2021-03-27 09:02:54,341 - Model - INFO - eval mIoU of Chair          0.903514
2021-03-27 09:02:54,342 - Model - INFO - eval mIoU of Earphone       0.702972
2021-03-27 09:02:54,342 - Model - INFO - eval mIoU of Guitar         0.911755
2021-03-27 09:02:54,342 - Model - INFO - eval mIoU of Knife          0.874676
2021-03-27 09:02:54,342 - Model - INFO - eval mIoU of Lamp           0.834705
2021-03-27 09:02:54,342 - Model - INFO - eval mIoU of Laptop         0.952018
2021-03-27 09:02:54,342 - Model - INFO - eval mIoU of Motorbike      0.733551
2021-03-27 09:02:54,342 - Model - INFO - eval mIoU of Mug            0.946958
2021-03-27 09:02:54,342 - Model - INFO - eval mIoU of Pistol         0.826287
2021-03-27 09:02:54,342 - Model - INFO - eval mIoU of Rocket         0.598064
2021-03-27 09:02:54,342 - Model - INFO - eval mIoU of Skateboard     0.768286
2021-03-27 09:02:54,342 - Model - INFO - eval mIoU of Table          0.831434
2021-03-27 09:02:54,343 - Model - INFO - Epoch 93 test Accuracy: 0.943465  Class avg mIOU: 0.820628   Inctance avg mIOU: 0.851278
2021-03-27 09:02:54,343 - Model - INFO - Best accuracy is: 0.94347
2021-03-27 09:02:54,343 - Model - INFO - Best class avg mIOU is: 0.82357
2021-03-27 09:02:54,343 - Model - INFO - Best inctance avg mIOU is: 0.85278
2021-03-27 09:02:54,343 - Model - INFO - Epoch 94 (94/251):
2021-03-27 09:02:54,343 - Model - INFO - Learning rate:0.000063
2021-03-27 09:09:31,891 - Model - INFO - Train accuracy is: 0.95549
2021-03-27 09:10:38,745 - Model - INFO - eval mIoU of Airplane       0.830880
2021-03-27 09:10:38,746 - Model - INFO - eval mIoU of Bag            0.816998
2021-03-27 09:10:38,746 - Model - INFO - eval mIoU of Cap            0.815639
2021-03-27 09:10:38,746 - Model - INFO - eval mIoU of Car            0.777625
2021-03-27 09:10:38,746 - Model - INFO - eval mIoU of Chair          0.904604
2021-03-27 09:10:38,746 - Model - INFO - eval mIoU of Earphone       0.662304
2021-03-27 09:10:38,746 - Model - INFO - eval mIoU of Guitar         0.913737
2021-03-27 09:10:38,746 - Model - INFO - eval mIoU of Knife          0.866592
2021-03-27 09:10:38,746 - Model - INFO - eval mIoU of Lamp           0.843575
2021-03-27 09:10:38,746 - Model - INFO - eval mIoU of Laptop         0.956251
2021-03-27 09:10:38,746 - Model - INFO - eval mIoU of Motorbike      0.698271
2021-03-27 09:10:38,746 - Model - INFO - eval mIoU of Mug            0.950779
2021-03-27 09:10:38,746 - Model - INFO - eval mIoU of Pistol         0.833049
2021-03-27 09:10:38,746 - Model - INFO - eval mIoU of Rocket         0.594427
2021-03-27 09:10:38,746 - Model - INFO - eval mIoU of Skateboard     0.763471
2021-03-27 09:10:38,746 - Model - INFO - eval mIoU of Table          0.828476
2021-03-27 09:10:38,746 - Model - INFO - Epoch 94 test Accuracy: 0.943077  Class avg mIOU: 0.816042   Inctance avg mIOU: 0.852368
2021-03-27 09:10:38,746 - Model - INFO - Best accuracy is: 0.94347
2021-03-27 09:10:38,746 - Model - INFO - Best class avg mIOU is: 0.82357
2021-03-27 09:10:38,747 - Model - INFO - Best inctance avg mIOU is: 0.85278
2021-03-27 09:10:38,747 - Model - INFO - Epoch 95 (95/251):
2021-03-27 09:10:38,747 - Model - INFO - Learning rate:0.000063
2021-03-27 09:17:20,225 - Model - INFO - Train accuracy is: 0.95530
2021-03-27 09:18:29,321 - Model - INFO - eval mIoU of Airplane       0.824260
2021-03-27 09:18:29,322 - Model - INFO - eval mIoU of Bag            0.838880
2021-03-27 09:18:29,322 - Model - INFO - eval mIoU of Cap            0.828275
2021-03-27 09:18:29,322 - Model - INFO - eval mIoU of Car            0.767907
2021-03-27 09:18:29,322 - Model - INFO - eval mIoU of Chair          0.907018
2021-03-27 09:18:29,322 - Model - INFO - eval mIoU of Earphone       0.740106
2021-03-27 09:18:29,322 - Model - INFO - eval mIoU of Guitar         0.912006
2021-03-27 09:18:29,322 - Model - INFO - eval mIoU of Knife          0.872745
2021-03-27 09:18:29,322 - Model - INFO - eval mIoU of Lamp           0.845132
2021-03-27 09:18:29,322 - Model - INFO - eval mIoU of Laptop         0.955396
2021-03-27 09:18:29,322 - Model - INFO - eval mIoU of Motorbike      0.704572
2021-03-27 09:18:29,322 - Model - INFO - eval mIoU of Mug            0.955338
2021-03-27 09:18:29,322 - Model - INFO - eval mIoU of Pistol         0.828322
2021-03-27 09:18:29,322 - Model - INFO - eval mIoU of Rocket         0.609072
2021-03-27 09:18:29,322 - Model - INFO - eval mIoU of Skateboard     0.759401
2021-03-27 09:18:29,322 - Model - INFO - eval mIoU of Table          0.822643
2021-03-27 09:18:29,323 - Model - INFO - Epoch 95 test Accuracy: 0.942549  Class avg mIOU: 0.823192   Inctance avg mIOU: 0.850775
2021-03-27 09:18:29,323 - Model - INFO - Best accuracy is: 0.94347
2021-03-27 09:18:29,323 - Model - INFO - Best class avg mIOU is: 0.82357
2021-03-27 09:18:29,323 - Model - INFO - Best inctance avg mIOU is: 0.85278
2021-03-27 09:18:29,323 - Model - INFO - Epoch 96 (96/251):
2021-03-27 09:18:29,323 - Model - INFO - Learning rate:0.000063
2021-03-27 09:25:06,746 - Model - INFO - Train accuracy is: 0.95513
2021-03-27 09:26:10,275 - Model - INFO - eval mIoU of Airplane       0.823796
2021-03-27 09:26:10,276 - Model - INFO - eval mIoU of Bag            0.825110
2021-03-27 09:26:10,276 - Model - INFO - eval mIoU of Cap            0.869870
2021-03-27 09:26:10,276 - Model - INFO - eval mIoU of Car            0.775232
2021-03-27 09:26:10,276 - Model - INFO - eval mIoU of Chair          0.904619
2021-03-27 09:26:10,276 - Model - INFO - eval mIoU of Earphone       0.733311
2021-03-27 09:26:10,276 - Model - INFO - eval mIoU of Guitar         0.909269
2021-03-27 09:26:10,276 - Model - INFO - eval mIoU of Knife          0.868375
2021-03-27 09:26:10,276 - Model - INFO - eval mIoU of Lamp           0.843610
2021-03-27 09:26:10,276 - Model - INFO - eval mIoU of Laptop         0.955438
2021-03-27 09:26:10,276 - Model - INFO - eval mIoU of Motorbike      0.721782
2021-03-27 09:26:10,276 - Model - INFO - eval mIoU of Mug            0.936900
2021-03-27 09:26:10,276 - Model - INFO - eval mIoU of Pistol         0.827788
2021-03-27 09:26:10,276 - Model - INFO - eval mIoU of Rocket         0.574547
2021-03-27 09:26:10,276 - Model - INFO - eval mIoU of Skateboard     0.748696
2021-03-27 09:26:10,276 - Model - INFO - eval mIoU of Table          0.829900
2021-03-27 09:26:10,277 - Model - INFO - Epoch 96 test Accuracy: 0.942471  Class avg mIOU: 0.821765   Inctance avg mIOU: 0.852106
2021-03-27 09:26:10,277 - Model - INFO - Best accuracy is: 0.94347
2021-03-27 09:26:10,277 - Model - INFO - Best class avg mIOU is: 0.82357
2021-03-27 09:26:10,277 - Model - INFO - Best inctance avg mIOU is: 0.85278
2021-03-27 09:26:10,277 - Model - INFO - Epoch 97 (97/251):
2021-03-27 09:26:10,277 - Model - INFO - Learning rate:0.000063
2021-03-27 09:32:38,606 - Model - INFO - Train accuracy is: 0.95541
2021-03-27 09:33:43,654 - Model - INFO - eval mIoU of Airplane       0.826753
2021-03-27 09:33:43,654 - Model - INFO - eval mIoU of Bag            0.760667
2021-03-27 09:33:43,654 - Model - INFO - eval mIoU of Cap            0.845315
2021-03-27 09:33:43,654 - Model - INFO - eval mIoU of Car            0.758823
2021-03-27 09:33:43,655 - Model - INFO - eval mIoU of Chair          0.903205
2021-03-27 09:33:43,655 - Model - INFO - eval mIoU of Earphone       0.698205
2021-03-27 09:33:43,655 - Model - INFO - eval mIoU of Guitar         0.907540
2021-03-27 09:33:43,655 - Model - INFO - eval mIoU of Knife          0.873534
2021-03-27 09:33:43,655 - Model - INFO - eval mIoU of Lamp           0.844467
2021-03-27 09:33:43,655 - Model - INFO - eval mIoU of Laptop         0.952759
2021-03-27 09:33:43,655 - Model - INFO - eval mIoU of Motorbike      0.719698
2021-03-27 09:33:43,655 - Model - INFO - eval mIoU of Mug            0.943373
2021-03-27 09:33:43,655 - Model - INFO - eval mIoU of Pistol         0.798555
2021-03-27 09:33:43,655 - Model - INFO - eval mIoU of Rocket         0.603458
2021-03-27 09:33:43,655 - Model - INFO - eval mIoU of Skateboard     0.759148
2021-03-27 09:33:43,655 - Model - INFO - eval mIoU of Table          0.822307
2021-03-27 09:33:43,655 - Model - INFO - Epoch 97 test Accuracy: 0.942379  Class avg mIOU: 0.813613   Inctance avg mIOU: 0.848279
2021-03-27 09:33:43,656 - Model - INFO - Best accuracy is: 0.94347
2021-03-27 09:33:43,656 - Model - INFO - Best class avg mIOU is: 0.82357
2021-03-27 09:33:43,656 - Model - INFO - Best inctance avg mIOU is: 0.85278
2021-03-27 09:33:43,656 - Model - INFO - Epoch 98 (98/251):
2021-03-27 09:33:43,656 - Model - INFO - Learning rate:0.000063
2021-03-27 09:40:22,757 - Model - INFO - Train accuracy is: 0.95552
2021-03-27 09:41:28,636 - Model - INFO - eval mIoU of Airplane       0.826248
2021-03-27 09:41:28,636 - Model - INFO - eval mIoU of Bag            0.797118
2021-03-27 09:41:28,636 - Model - INFO - eval mIoU of Cap            0.849881
2021-03-27 09:41:28,636 - Model - INFO - eval mIoU of Car            0.773787
2021-03-27 09:41:28,636 - Model - INFO - eval mIoU of Chair          0.906358
2021-03-27 09:41:28,636 - Model - INFO - eval mIoU of Earphone       0.659574
2021-03-27 09:41:28,636 - Model - INFO - eval mIoU of Guitar         0.908000
2021-03-27 09:41:28,637 - Model - INFO - eval mIoU of Knife          0.873514
2021-03-27 09:41:28,637 - Model - INFO - eval mIoU of Lamp           0.843776
2021-03-27 09:41:28,637 - Model - INFO - eval mIoU of Laptop         0.952818
2021-03-27 09:41:28,637 - Model - INFO - eval mIoU of Motorbike      0.720456
2021-03-27 09:41:28,637 - Model - INFO - eval mIoU of Mug            0.938842
2021-03-27 09:41:28,637 - Model - INFO - eval mIoU of Pistol         0.830365
2021-03-27 09:41:28,637 - Model - INFO - eval mIoU of Rocket         0.610322
2021-03-27 09:41:28,637 - Model - INFO - eval mIoU of Skateboard     0.758429
2021-03-27 09:41:28,637 - Model - INFO - eval mIoU of Table          0.828669
2021-03-27 09:41:28,637 - Model - INFO - Epoch 98 test Accuracy: 0.942921  Class avg mIOU: 0.817385   Inctance avg mIOU: 0.852117
2021-03-27 09:41:28,637 - Model - INFO - Best accuracy is: 0.94347
2021-03-27 09:41:28,637 - Model - INFO - Best class avg mIOU is: 0.82357
2021-03-27 09:41:28,637 - Model - INFO - Best inctance avg mIOU is: 0.85278
2021-03-27 09:41:28,638 - Model - INFO - Epoch 99 (99/251):
2021-03-27 09:41:28,638 - Model - INFO - Learning rate:0.000063
2021-03-27 09:47:56,142 - Model - INFO - Train accuracy is: 0.95546
2021-03-27 09:48:59,931 - Model - INFO - eval mIoU of Airplane       0.825220
2021-03-27 09:48:59,932 - Model - INFO - eval mIoU of Bag            0.829068
2021-03-27 09:48:59,932 - Model - INFO - eval mIoU of Cap            0.841080
2021-03-27 09:48:59,932 - Model - INFO - eval mIoU of Car            0.777416
2021-03-27 09:48:59,932 - Model - INFO - eval mIoU of Chair          0.904740
2021-03-27 09:48:59,932 - Model - INFO - eval mIoU of Earphone       0.723201
2021-03-27 09:48:59,932 - Model - INFO - eval mIoU of Guitar         0.908147
2021-03-27 09:48:59,932 - Model - INFO - eval mIoU of Knife          0.866521
2021-03-27 09:48:59,932 - Model - INFO - eval mIoU of Lamp           0.843354
2021-03-27 09:48:59,932 - Model - INFO - eval mIoU of Laptop         0.953390
2021-03-27 09:48:59,932 - Model - INFO - eval mIoU of Motorbike      0.712863
2021-03-27 09:48:59,932 - Model - INFO - eval mIoU of Mug            0.951730
2021-03-27 09:48:59,932 - Model - INFO - eval mIoU of Pistol         0.819828
2021-03-27 09:48:59,932 - Model - INFO - eval mIoU of Rocket         0.596072
2021-03-27 09:48:59,932 - Model - INFO - eval mIoU of Skateboard     0.760402
2021-03-27 09:48:59,932 - Model - INFO - eval mIoU of Table          0.817335
2021-03-27 09:48:59,933 - Model - INFO - Epoch 99 test Accuracy: 0.942208  Class avg mIOU: 0.820648   Inctance avg mIOU: 0.848511
2021-03-27 09:48:59,933 - Model - INFO - Best accuracy is: 0.94347
2021-03-27 09:48:59,933 - Model - INFO - Best class avg mIOU is: 0.82357
2021-03-27 09:48:59,933 - Model - INFO - Best inctance avg mIOU is: 0.85278
2021-03-27 09:48:59,933 - Model - INFO - Epoch 100 (100/251):
2021-03-27 09:48:59,933 - Model - INFO - Learning rate:0.000063
2021-03-27 09:55:23,065 - Model - INFO - Train accuracy is: 0.95536
2021-03-27 09:56:28,029 - Model - INFO - eval mIoU of Airplane       0.824302
2021-03-27 09:56:28,029 - Model - INFO - eval mIoU of Bag            0.825866
2021-03-27 09:56:28,029 - Model - INFO - eval mIoU of Cap            0.856732
2021-03-27 09:56:28,029 - Model - INFO - eval mIoU of Car            0.771521
2021-03-27 09:56:28,029 - Model - INFO - eval mIoU of Chair          0.904848
2021-03-27 09:56:28,029 - Model - INFO - eval mIoU of Earphone       0.695765
2021-03-27 09:56:28,029 - Model - INFO - eval mIoU of Guitar         0.908417
2021-03-27 09:56:28,029 - Model - INFO - eval mIoU of Knife          0.861132
2021-03-27 09:56:28,030 - Model - INFO - eval mIoU of Lamp           0.841733
2021-03-27 09:56:28,030 - Model - INFO - eval mIoU of Laptop         0.954698
2021-03-27 09:56:28,030 - Model - INFO - eval mIoU of Motorbike      0.720050
2021-03-27 09:56:28,030 - Model - INFO - eval mIoU of Mug            0.940948
2021-03-27 09:56:28,030 - Model - INFO - eval mIoU of Pistol         0.814430
2021-03-27 09:56:28,030 - Model - INFO - eval mIoU of Rocket         0.591661
2021-03-27 09:56:28,030 - Model - INFO - eval mIoU of Skateboard     0.761306
2021-03-27 09:56:28,030 - Model - INFO - eval mIoU of Table          0.822767
2021-03-27 09:56:28,030 - Model - INFO - Epoch 100 test Accuracy: 0.942488  Class avg mIOU: 0.818511   Inctance avg mIOU: 0.849253
2021-03-27 09:56:28,030 - Model - INFO - Best accuracy is: 0.94347
2021-03-27 09:56:28,031 - Model - INFO - Best class avg mIOU is: 0.82357
2021-03-27 09:56:28,031 - Model - INFO - Best inctance avg mIOU is: 0.85278
2021-03-27 09:56:28,031 - Model - INFO - Epoch 101 (101/251):
2021-03-27 09:56:28,031 - Model - INFO - Learning rate:0.000031
2021-03-27 10:03:04,721 - Model - INFO - Train accuracy is: 0.95588
2021-03-27 10:04:09,981 - Model - INFO - eval mIoU of Airplane       0.826012
2021-03-27 10:04:09,982 - Model - INFO - eval mIoU of Bag            0.824327
2021-03-27 10:04:09,982 - Model - INFO - eval mIoU of Cap            0.855253
2021-03-27 10:04:09,982 - Model - INFO - eval mIoU of Car            0.774805
2021-03-27 10:04:09,982 - Model - INFO - eval mIoU of Chair          0.905008
2021-03-27 10:04:09,982 - Model - INFO - eval mIoU of Earphone       0.688811
2021-03-27 10:04:09,982 - Model - INFO - eval mIoU of Guitar         0.907266
2021-03-27 10:04:09,982 - Model - INFO - eval mIoU of Knife          0.867374
2021-03-27 10:04:09,982 - Model - INFO - eval mIoU of Lamp           0.849578
2021-03-27 10:04:09,982 - Model - INFO - eval mIoU of Laptop         0.953213
2021-03-27 10:04:09,982 - Model - INFO - eval mIoU of Motorbike      0.726796
2021-03-27 10:04:09,982 - Model - INFO - eval mIoU of Mug            0.948354
2021-03-27 10:04:09,982 - Model - INFO - eval mIoU of Pistol         0.815744
2021-03-27 10:04:09,982 - Model - INFO - eval mIoU of Rocket         0.608375
2021-03-27 10:04:09,982 - Model - INFO - eval mIoU of Skateboard     0.760429
2021-03-27 10:04:09,982 - Model - INFO - eval mIoU of Table          0.825747
2021-03-27 10:04:09,982 - Model - INFO - Epoch 101 test Accuracy: 0.943821  Class avg mIOU: 0.821068   Inctance avg mIOU: 0.851653
2021-03-27 10:04:09,983 - Model - INFO - Best accuracy is: 0.94382
2021-03-27 10:04:09,983 - Model - INFO - Best class avg mIOU is: 0.82357
2021-03-27 10:04:09,983 - Model - INFO - Best inctance avg mIOU is: 0.85278
2021-03-27 10:04:09,983 - Model - INFO - Epoch 102 (102/251):
2021-03-27 10:04:09,983 - Model - INFO - Learning rate:0.000031
2021-03-27 10:10:41,731 - Model - INFO - Train accuracy is: 0.95589
2021-03-27 10:11:48,257 - Model - INFO - eval mIoU of Airplane       0.824157
2021-03-27 10:11:48,258 - Model - INFO - eval mIoU of Bag            0.800720
2021-03-27 10:11:48,258 - Model - INFO - eval mIoU of Cap            0.851515
2021-03-27 10:11:48,258 - Model - INFO - eval mIoU of Car            0.779837
2021-03-27 10:11:48,258 - Model - INFO - eval mIoU of Chair          0.908337
2021-03-27 10:11:48,258 - Model - INFO - eval mIoU of Earphone       0.700364
2021-03-27 10:11:48,258 - Model - INFO - eval mIoU of Guitar         0.911977
2021-03-27 10:11:48,258 - Model - INFO - eval mIoU of Knife          0.875019
2021-03-27 10:11:48,258 - Model - INFO - eval mIoU of Lamp           0.840814
2021-03-27 10:11:48,258 - Model - INFO - eval mIoU of Laptop         0.954378
2021-03-27 10:11:48,258 - Model - INFO - eval mIoU of Motorbike      0.723621
2021-03-27 10:11:48,258 - Model - INFO - eval mIoU of Mug            0.953698
2021-03-27 10:11:48,258 - Model - INFO - eval mIoU of Pistol         0.812563
2021-03-27 10:11:48,258 - Model - INFO - eval mIoU of Rocket         0.599946
2021-03-27 10:11:48,258 - Model - INFO - eval mIoU of Skateboard     0.764851
2021-03-27 10:11:48,258 - Model - INFO - eval mIoU of Table          0.824961
2021-03-27 10:11:48,259 - Model - INFO - Epoch 102 test Accuracy: 0.942957  Class avg mIOU: 0.820422   Inctance avg mIOU: 0.851834
2021-03-27 10:11:48,259 - Model - INFO - Best accuracy is: 0.94382
2021-03-27 10:11:48,259 - Model - INFO - Best class avg mIOU is: 0.82357
2021-03-27 10:11:48,259 - Model - INFO - Best inctance avg mIOU is: 0.85278
2021-03-27 10:11:48,259 - Model - INFO - Epoch 103 (103/251):
2021-03-27 10:11:48,259 - Model - INFO - Learning rate:0.000031
2021-03-27 10:18:18,050 - Model - INFO - Train accuracy is: 0.95630
2021-03-27 10:19:24,568 - Model - INFO - eval mIoU of Airplane       0.822597
2021-03-27 10:19:24,569 - Model - INFO - eval mIoU of Bag            0.814869
2021-03-27 10:19:24,569 - Model - INFO - eval mIoU of Cap            0.850399
2021-03-27 10:19:24,569 - Model - INFO - eval mIoU of Car            0.777575
2021-03-27 10:19:24,569 - Model - INFO - eval mIoU of Chair          0.904002
2021-03-27 10:19:24,569 - Model - INFO - eval mIoU of Earphone       0.702001
2021-03-27 10:19:24,569 - Model - INFO - eval mIoU of Guitar         0.910488
2021-03-27 10:19:24,569 - Model - INFO - eval mIoU of Knife          0.867567
2021-03-27 10:19:24,569 - Model - INFO - eval mIoU of Lamp           0.846254
2021-03-27 10:19:24,569 - Model - INFO - eval mIoU of Laptop         0.954049
2021-03-27 10:19:24,569 - Model - INFO - eval mIoU of Motorbike      0.731260
2021-03-27 10:19:24,569 - Model - INFO - eval mIoU of Mug            0.946086
2021-03-27 10:19:24,569 - Model - INFO - eval mIoU of Pistol         0.825348
2021-03-27 10:19:24,570 - Model - INFO - eval mIoU of Rocket         0.612306
2021-03-27 10:19:24,570 - Model - INFO - eval mIoU of Skateboard     0.761618
2021-03-27 10:19:24,570 - Model - INFO - eval mIoU of Table          0.825705
2021-03-27 10:19:24,570 - Model - INFO - Epoch 103 test Accuracy: 0.943157  Class avg mIOU: 0.822008   Inctance avg mIOU: 0.851244
2021-03-27 10:19:24,570 - Model - INFO - Best accuracy is: 0.94382
2021-03-27 10:19:24,570 - Model - INFO - Best class avg mIOU is: 0.82357
2021-03-27 10:19:24,570 - Model - INFO - Best inctance avg mIOU is: 0.85278
2021-03-27 10:19:24,570 - Model - INFO - Epoch 104 (104/251):
2021-03-27 10:19:24,571 - Model - INFO - Learning rate:0.000031
2021-03-27 10:26:00,887 - Model - INFO - Train accuracy is: 0.95609
2021-03-27 10:27:06,654 - Model - INFO - eval mIoU of Airplane       0.823162
2021-03-27 10:27:06,654 - Model - INFO - eval mIoU of Bag            0.800965
2021-03-27 10:27:06,654 - Model - INFO - eval mIoU of Cap            0.855990
2021-03-27 10:27:06,654 - Model - INFO - eval mIoU of Car            0.785224
2021-03-27 10:27:06,654 - Model - INFO - eval mIoU of Chair          0.906122
2021-03-27 10:27:06,654 - Model - INFO - eval mIoU of Earphone       0.695857
2021-03-27 10:27:06,654 - Model - INFO - eval mIoU of Guitar         0.909063
2021-03-27 10:27:06,654 - Model - INFO - eval mIoU of Knife          0.868822
2021-03-27 10:27:06,655 - Model - INFO - eval mIoU of Lamp           0.848163
2021-03-27 10:27:06,655 - Model - INFO - eval mIoU of Laptop         0.955621
2021-03-27 10:27:06,655 - Model - INFO - eval mIoU of Motorbike      0.718112
2021-03-27 10:27:06,655 - Model - INFO - eval mIoU of Mug            0.952934
2021-03-27 10:27:06,655 - Model - INFO - eval mIoU of Pistol         0.823164
2021-03-27 10:27:06,655 - Model - INFO - eval mIoU of Rocket         0.595510
2021-03-27 10:27:06,655 - Model - INFO - eval mIoU of Skateboard     0.762034
2021-03-27 10:27:06,655 - Model - INFO - eval mIoU of Table          0.828051
2021-03-27 10:27:06,655 - Model - INFO - Epoch 104 test Accuracy: 0.942932  Class avg mIOU: 0.820550   Inctance avg mIOU: 0.852816
2021-03-27 10:27:06,655 - Model - INFO - Save model...
2021-03-27 10:27:06,655 - Model - INFO - Saving at log/part_seg/pointnet2_part_seg_msg/checkpoints/best_model.pth
2021-03-27 10:27:06,729 - Model - INFO - Saving model....
2021-03-27 10:27:06,729 - Model - INFO - Best accuracy is: 0.94382
2021-03-27 10:27:06,729 - Model - INFO - Best class avg mIOU is: 0.82357
2021-03-27 10:27:06,730 - Model - INFO - Best inctance avg mIOU is: 0.85282
2021-03-27 10:27:06,730 - Model - INFO - Epoch 105 (105/251):
2021-03-27 10:27:06,730 - Model - INFO - Learning rate:0.000031
2021-03-27 10:33:35,235 - Model - INFO - Train accuracy is: 0.95600
2021-03-27 10:34:39,170 - Model - INFO - eval mIoU of Airplane       0.829394
2021-03-27 10:34:39,170 - Model - INFO - eval mIoU of Bag            0.824200
2021-03-27 10:34:39,170 - Model - INFO - eval mIoU of Cap            0.850190
2021-03-27 10:34:39,170 - Model - INFO - eval mIoU of Car            0.780185
2021-03-27 10:34:39,170 - Model - INFO - eval mIoU of Chair          0.902932
2021-03-27 10:34:39,170 - Model - INFO - eval mIoU of Earphone       0.717672
2021-03-27 10:34:39,170 - Model - INFO - eval mIoU of Guitar         0.911124
2021-03-27 10:34:39,170 - Model - INFO - eval mIoU of Knife          0.875801
2021-03-27 10:34:39,170 - Model - INFO - eval mIoU of Lamp           0.844416
2021-03-27 10:34:39,170 - Model - INFO - eval mIoU of Laptop         0.954955
2021-03-27 10:34:39,170 - Model - INFO - eval mIoU of Motorbike      0.720151
2021-03-27 10:34:39,171 - Model - INFO - eval mIoU of Mug            0.949274
2021-03-27 10:34:39,171 - Model - INFO - eval mIoU of Pistol         0.814151
2021-03-27 10:34:39,171 - Model - INFO - eval mIoU of Rocket         0.620889
2021-03-27 10:34:39,171 - Model - INFO - eval mIoU of Skateboard     0.760082
2021-03-27 10:34:39,171 - Model - INFO - eval mIoU of Table          0.828382
2021-03-27 10:34:39,171 - Model - INFO - Epoch 105 test Accuracy: 0.943879  Class avg mIOU: 0.823987   Inctance avg mIOU: 0.852643
2021-03-27 10:34:39,171 - Model - INFO - Best accuracy is: 0.94388
2021-03-27 10:34:39,171 - Model - INFO - Best class avg mIOU is: 0.82399
2021-03-27 10:34:39,171 - Model - INFO - Best inctance avg mIOU is: 0.85282
2021-03-27 10:34:39,171 - Model - INFO - Epoch 106 (106/251):
2021-03-27 10:34:39,172 - Model - INFO - Learning rate:0.000031
2021-03-27 10:41:13,990 - Model - INFO - Train accuracy is: 0.95613
2021-03-27 10:42:20,067 - Model - INFO - eval mIoU of Airplane       0.827407
2021-03-27 10:42:20,068 - Model - INFO - eval mIoU of Bag            0.832832
2021-03-27 10:42:20,068 - Model - INFO - eval mIoU of Cap            0.863044
2021-03-27 10:42:20,068 - Model - INFO - eval mIoU of Car            0.775336
2021-03-27 10:42:20,068 - Model - INFO - eval mIoU of Chair          0.904358
2021-03-27 10:42:20,068 - Model - INFO - eval mIoU of Earphone       0.734064
2021-03-27 10:42:20,068 - Model - INFO - eval mIoU of Guitar         0.909029
2021-03-27 10:42:20,068 - Model - INFO - eval mIoU of Knife          0.878734
2021-03-27 10:42:20,068 - Model - INFO - eval mIoU of Lamp           0.844127
2021-03-27 10:42:20,069 - Model - INFO - eval mIoU of Laptop         0.954575
2021-03-27 10:42:20,069 - Model - INFO - eval mIoU of Motorbike      0.730599
2021-03-27 10:42:20,069 - Model - INFO - eval mIoU of Mug            0.951984
2021-03-27 10:42:20,069 - Model - INFO - eval mIoU of Pistol         0.815126
2021-03-27 10:42:20,069 - Model - INFO - eval mIoU of Rocket         0.600459
2021-03-27 10:42:20,069 - Model - INFO - eval mIoU of Skateboard     0.762866
2021-03-27 10:42:20,069 - Model - INFO - eval mIoU of Table          0.832732
2021-03-27 10:42:20,069 - Model - INFO - Epoch 106 test Accuracy: 0.943322  Class avg mIOU: 0.826080   Inctance avg mIOU: 0.854052
2021-03-27 10:42:20,069 - Model - INFO - Save model...
2021-03-27 10:42:20,069 - Model - INFO - Saving at log/part_seg/pointnet2_part_seg_msg/checkpoints/best_model.pth
2021-03-27 10:42:20,187 - Model - INFO - Saving model....
2021-03-27 10:42:20,187 - Model - INFO - Best accuracy is: 0.94388
2021-03-27 10:42:20,187 - Model - INFO - Best class avg mIOU is: 0.82608
2021-03-27 10:42:20,187 - Model - INFO - Best inctance avg mIOU is: 0.85405
2021-03-27 10:42:20,188 - Model - INFO - Epoch 107 (107/251):
2021-03-27 10:42:20,188 - Model - INFO - Learning rate:0.000031
2021-03-27 10:48:56,194 - Model - INFO - Train accuracy is: 0.95616
2021-03-27 10:50:00,970 - Model - INFO - eval mIoU of Airplane       0.827786
2021-03-27 10:50:00,971 - Model - INFO - eval mIoU of Bag            0.834039
2021-03-27 10:50:00,971 - Model - INFO - eval mIoU of Cap            0.855453
2021-03-27 10:50:00,971 - Model - INFO - eval mIoU of Car            0.779957
2021-03-27 10:50:00,971 - Model - INFO - eval mIoU of Chair          0.905642
2021-03-27 10:50:00,971 - Model - INFO - eval mIoU of Earphone       0.698059
2021-03-27 10:50:00,971 - Model - INFO - eval mIoU of Guitar         0.913117
2021-03-27 10:50:00,971 - Model - INFO - eval mIoU of Knife          0.868074
2021-03-27 10:50:00,971 - Model - INFO - eval mIoU of Lamp           0.843700
2021-03-27 10:50:00,972 - Model - INFO - eval mIoU of Laptop         0.955951
2021-03-27 10:50:00,972 - Model - INFO - eval mIoU of Motorbike      0.733807
2021-03-27 10:50:00,972 - Model - INFO - eval mIoU of Mug            0.951518
2021-03-27 10:50:00,972 - Model - INFO - eval mIoU of Pistol         0.808586
2021-03-27 10:50:00,972 - Model - INFO - eval mIoU of Rocket         0.612057
2021-03-27 10:50:00,972 - Model - INFO - eval mIoU of Skateboard     0.759218
2021-03-27 10:50:00,972 - Model - INFO - eval mIoU of Table          0.824970
2021-03-27 10:50:00,972 - Model - INFO - Epoch 107 test Accuracy: 0.942826  Class avg mIOU: 0.823246   Inctance avg mIOU: 0.852062
2021-03-27 10:50:00,973 - Model - INFO - Best accuracy is: 0.94388
2021-03-27 10:50:00,973 - Model - INFO - Best class avg mIOU is: 0.82608
2021-03-27 10:50:00,973 - Model - INFO - Best inctance avg mIOU is: 0.85405
2021-03-27 10:50:00,973 - Model - INFO - Epoch 108 (108/251):
2021-03-27 10:50:00,973 - Model - INFO - Learning rate:0.000031
2021-03-27 10:56:28,958 - Model - INFO - Train accuracy is: 0.95624
2021-03-27 10:57:33,472 - Model - INFO - eval mIoU of Airplane       0.828749
2021-03-27 10:57:33,472 - Model - INFO - eval mIoU of Bag            0.813954
2021-03-27 10:57:33,472 - Model - INFO - eval mIoU of Cap            0.849883
2021-03-27 10:57:33,472 - Model - INFO - eval mIoU of Car            0.775266
2021-03-27 10:57:33,472 - Model - INFO - eval mIoU of Chair          0.906076
2021-03-27 10:57:33,472 - Model - INFO - eval mIoU of Earphone       0.708212
2021-03-27 10:57:33,472 - Model - INFO - eval mIoU of Guitar         0.911677
2021-03-27 10:57:33,472 - Model - INFO - eval mIoU of Knife          0.863633
2021-03-27 10:57:33,473 - Model - INFO - eval mIoU of Lamp           0.845272
2021-03-27 10:57:33,473 - Model - INFO - eval mIoU of Laptop         0.955609
2021-03-27 10:57:33,473 - Model - INFO - eval mIoU of Motorbike      0.726924
2021-03-27 10:57:33,473 - Model - INFO - eval mIoU of Mug            0.951129
2021-03-27 10:57:33,473 - Model - INFO - eval mIoU of Pistol         0.817873
2021-03-27 10:57:33,473 - Model - INFO - eval mIoU of Rocket         0.620992
2021-03-27 10:57:33,473 - Model - INFO - eval mIoU of Skateboard     0.761999
2021-03-27 10:57:33,473 - Model - INFO - eval mIoU of Table          0.826389
2021-03-27 10:57:33,473 - Model - INFO - Epoch 108 test Accuracy: 0.943230  Class avg mIOU: 0.822727   Inctance avg mIOU: 0.852400
2021-03-27 10:57:33,473 - Model - INFO - Best accuracy is: 0.94388
2021-03-27 10:57:33,473 - Model - INFO - Best class avg mIOU is: 0.82608
2021-03-27 10:57:33,473 - Model - INFO - Best inctance avg mIOU is: 0.85405
2021-03-27 10:57:33,474 - Model - INFO - Epoch 109 (109/251):
2021-03-27 10:57:33,474 - Model - INFO - Learning rate:0.000031
2021-03-27 11:04:06,550 - Model - INFO - Train accuracy is: 0.95633
2021-03-27 11:05:14,626 - Model - INFO - eval mIoU of Airplane       0.828025
2021-03-27 11:05:14,627 - Model - INFO - eval mIoU of Bag            0.818662
2021-03-27 11:05:14,627 - Model - INFO - eval mIoU of Cap            0.855456
2021-03-27 11:05:14,627 - Model - INFO - eval mIoU of Car            0.779414
2021-03-27 11:05:14,627 - Model - INFO - eval mIoU of Chair          0.905986
2021-03-27 11:05:14,627 - Model - INFO - eval mIoU of Earphone       0.694806
2021-03-27 11:05:14,627 - Model - INFO - eval mIoU of Guitar         0.911982
2021-03-27 11:05:14,627 - Model - INFO - eval mIoU of Knife          0.869707
2021-03-27 11:05:14,627 - Model - INFO - eval mIoU of Lamp           0.843582
2021-03-27 11:05:14,627 - Model - INFO - eval mIoU of Laptop         0.954939
2021-03-27 11:05:14,627 - Model - INFO - eval mIoU of Motorbike      0.723228
2021-03-27 11:05:14,627 - Model - INFO - eval mIoU of Mug            0.948590
2021-03-27 11:05:14,627 - Model - INFO - eval mIoU of Pistol         0.813100
2021-03-27 11:05:14,627 - Model - INFO - eval mIoU of Rocket         0.613642
2021-03-27 11:05:14,627 - Model - INFO - eval mIoU of Skateboard     0.759146
2021-03-27 11:05:14,628 - Model - INFO - eval mIoU of Table          0.827292
2021-03-27 11:05:14,628 - Model - INFO - Epoch 109 test Accuracy: 0.943171  Class avg mIOU: 0.821722   Inctance avg mIOU: 0.852530
2021-03-27 11:05:14,628 - Model - INFO - Best accuracy is: 0.94388
2021-03-27 11:05:14,628 - Model - INFO - Best class avg mIOU is: 0.82608
2021-03-27 11:05:14,629 - Model - INFO - Best inctance avg mIOU is: 0.85405
