diff --git "a/semseg_base.log" "b/semseg_base.log" new file mode 100644--- /dev/null +++ "b/semseg_base.log" @@ -0,0 +1,4187 @@ +2023/11/27 07:35:06 - mmengine - INFO - Iter(train) [ 500/120000] base_lr: 1.9999e-04 lr: 1.9999e-05 eta: 1 day, 8:07:20 time: 0.9677 data_time: 0.0078 memory: 8151 grad_norm: 0.2284 loss: 0.0469 semantic_segmentation_loss_cls: 0.0469 +2023/11/27 07:43:10 - mmengine - INFO - Exp name: univision_single_semseg_base_20231127_072624 +2023/11/27 07:43:10 - mmengine - INFO - Iter(train) [ 1000/120000] base_lr: 1.9997e-04 lr: 1.9997e-05 eta: 1 day, 7:59:33 time: 0.9678 data_time: 0.0078 memory: 8151 grad_norm: 0.1592 loss: 0.0347 semantic_segmentation_loss_cls: 0.0347 +2023/11/27 07:51:15 - mmengine - INFO - Iter(train) [ 1500/120000] base_lr: 1.9992e-04 lr: 1.9993e-05 eta: 1 day, 7:52:40 time: 0.9684 data_time: 0.0079 memory: 8151 grad_norm: 0.1328 loss: 0.0294 semantic_segmentation_loss_cls: 0.0294 +2023/11/27 07:59:20 - mmengine - INFO - Exp name: univision_single_semseg_base_20231127_072624 +2023/11/27 07:59:20 - mmengine - INFO - Iter(train) [ 2000/120000] base_lr: 1.9986e-04 lr: 1.9988e-05 eta: 1 day, 7:45:03 time: 0.9687 data_time: 0.0079 memory: 8151 grad_norm: 0.1182 loss: 0.0264 semantic_segmentation_loss_cls: 0.0264 +2023/11/27 08:07:24 - mmengine - INFO - Iter(train) [ 2500/120000] base_lr: 1.9979e-04 lr: 1.9981e-05 eta: 1 day, 7:37:08 time: 0.9688 data_time: 0.0079 memory: 8151 grad_norm: 0.1095 loss: 0.0246 semantic_segmentation_loss_cls: 0.0246 +2023/11/27 08:15:29 - mmengine - INFO - Exp name: univision_single_semseg_base_20231127_072624 +2023/11/27 08:15:29 - mmengine - INFO - Iter(train) [ 3000/120000] base_lr: 1.9970e-04 lr: 1.9972e-05 eta: 1 day, 7:29:29 time: 0.9690 data_time: 0.0080 memory: 8151 grad_norm: 0.1027 loss: 0.0231 semantic_segmentation_loss_cls: 0.0231 +2023/11/27 08:23:34 - mmengine - INFO - Iter(train) [ 3500/120000] base_lr: 1.9958e-04 lr: 1.9962e-05 eta: 1 day, 7:21:28 time: 0.9690 data_time: 0.0080 memory: 8151 grad_norm: 0.0977 loss: 0.0221 semantic_segmentation_loss_cls: 0.0221 +2023/11/27 08:31:39 - mmengine - INFO - Exp name: univision_single_semseg_base_20231127_072624 +2023/11/27 08:31:39 - mmengine - INFO - Iter(train) [ 4000/120000] base_lr: 1.9946e-04 lr: 1.9951e-05 eta: 1 day, 7:13:42 time: 0.9692 data_time: 0.0080 memory: 8151 grad_norm: 0.0936 loss: 0.0212 semantic_segmentation_loss_cls: 0.0212 +2023/11/27 08:39:44 - mmengine - INFO - Iter(train) [ 4500/120000] base_lr: 1.9931e-04 lr: 1.9938e-05 eta: 1 day, 7:05:40 time: 0.9694 data_time: 0.0080 memory: 8151 grad_norm: 0.0734 loss: 0.0171 semantic_segmentation_loss_cls: 0.0171 +2023/11/27 08:47:48 - mmengine - INFO - Exp name: univision_single_semseg_base_20231127_072624 +2023/11/27 08:47:48 - mmengine - INFO - Iter(train) [ 5000/120000] base_lr: 1.9915e-04 lr: 1.9923e-05 eta: 1 day, 6:57:34 time: 0.9695 data_time: 0.0080 memory: 8151 grad_norm: 0.0702 loss: 0.0161 semantic_segmentation_loss_cls: 0.0161 +2023/11/27 08:51:03 - mmengine - INFO - per class results: +2023/11/27 08:51:03 - mmengine - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 73.37 | 85.57 | +| building | 78.5 | 90.31 | +| sky | 92.37 | 97.55 | +| floor | 77.78 | 88.46 | +| tree | 71.03 | 84.78 | +| ceiling | 79.51 | 94.7 | +| road | 75.74 | 90.89 | +| bed | 82.5 | 90.7 | +| windowpane | 56.34 | 71.68 | +| grass | 63.22 | 73.1 | +| cabinet | 51.77 | 77.26 | +| sidewalk | 55.47 | 64.69 | +| person | 76.45 | 90.55 | +| earth | 35.11 | 50.02 | +| door | 37.59 | 44.71 | +| table | 44.78 | 53.81 | +| mountain | 41.0 | 46.27 | +| plant | 47.48 | 58.07 | +| curtain | 68.65 | 80.91 | +| chair | 47.85 | 62.21 | +| car | 74.84 | 82.43 | +| water | 48.58 | 60.96 | +| painting | 50.19 | 52.65 | +| sofa | 54.42 | 70.1 | +| shelf | 34.44 | 76.35 | +| house | 42.8 | 75.35 | +| sea | 50.78 | 93.52 | +| mirror | 53.02 | 57.6 | +| rug | 65.63 | 72.44 | +| field | 26.94 | 43.02 | +| armchair | 31.38 | 56.26 | +| seat | 48.76 | 73.63 | +| fence | 28.91 | 42.74 | +| desk | 24.82 | 33.58 | +| rock | 37.34 | 85.43 | +| wardrobe | 29.11 | 32.55 | +| lamp | 52.48 | 65.92 | +| bathtub | 62.36 | 73.53 | +| railing | 28.58 | 37.02 | +| cushion | 41.82 | 51.15 | +| base | 11.77 | 14.06 | +| box | 14.77 | 20.09 | +| column | 48.3 | 60.27 | +| signboard | 30.02 | 39.51 | +| chest of drawers | 33.91 | 48.53 | +| counter | 19.04 | 32.45 | +| sand | 30.02 | 41.43 | +| sink | 37.95 | 39.08 | +| skyscraper | 50.89 | 60.68 | +| fireplace | 65.63 | 87.89 | +| refrigerator | 60.64 | 69.66 | +| grandstand | 16.86 | 84.82 | +| path | 2.56 | 2.62 | +| stairs | 22.27 | 30.25 | +| runway | 61.83 | 66.83 | +| case | 26.17 | 28.96 | +| pool table | 54.68 | 55.4 | +| pillow | 45.85 | 67.59 | +| screen door | 52.49 | 78.38 | +| stairway | 23.64 | 30.15 | +| river | 9.52 | 10.86 | +| bridge | 46.85 | 53.6 | +| bookcase | 31.59 | 40.05 | +| blind | 36.48 | 56.09 | +| coffee table | 50.09 | 58.25 | +| toilet | 73.16 | 85.62 | +| flower | 26.71 | 41.73 | +| book | 38.2 | 53.44 | +| hill | 4.89 | 11.79 | +| bench | 35.65 | 47.26 | +| countertop | 41.85 | 54.43 | +| stove | 50.7 | 77.68 | +| palm | 33.49 | 39.45 | +| kitchen island | 25.34 | 66.6 | +| computer | 32.55 | 39.12 | +| swivel chair | 35.56 | 49.0 | +| boat | 64.22 | 78.44 | +| bar | 24.54 | 33.66 | +| arcade machine | 20.33 | 64.2 | +| hovel | 13.05 | 29.49 | +| bus | 50.65 | 96.65 | +| towel | 44.89 | 48.53 | +| light | 35.21 | 38.96 | +| truck | 4.09 | 4.88 | +| tower | 27.4 | 43.64 | +| chandelier | 52.9 | 68.33 | +| awning | 20.52 | 25.71 | +| streetlight | 12.26 | 13.01 | +| booth | 33.08 | 33.61 | +| television receiver | 52.21 | 63.56 | +| airplane | 52.6 | 62.07 | +| dirt track | 0.0 | 0.0 | +| apparel | 24.07 | 37.1 | +| pole | 20.43 | 27.05 | +| land | 0.0 | 0.0 | +| bannister | 10.55 | 17.49 | +| escalator | 8.35 | 10.66 | +| ottoman | 15.9 | 16.94 | +| bottle | 15.95 | 26.56 | +| buffet | 41.55 | 47.7 | +| poster | 14.43 | 58.08 | +| stage | 11.09 | 13.47 | +| van | 18.63 | 23.62 | +| ship | 54.22 | 65.59 | +| fountain | 19.09 | 19.4 | +| conveyer belt | 45.92 | 60.53 | +| canopy | 23.47 | 26.87 | +| washer | 41.97 | 42.3 | +| plaything | 13.04 | 41.46 | +| swimming pool | 37.85 | 80.22 | +| stool | 17.9 | 19.56 | +| barrel | 7.99 | 11.53 | +| basket | 14.68 | 17.39 | +| waterfall | 52.44 | 66.56 | +| tent | 77.51 | 84.68 | +| bag | 2.41 | 2.48 | +| minibike | 37.17 | 50.45 | +| cradle | 74.08 | 92.2 | +| oven | 20.17 | 27.69 | +| ball | 26.59 | 28.55 | +| food | 51.4 | 62.3 | +| step | 10.82 | 11.66 | +| tank | 13.96 | 14.29 | +| trade name | 13.08 | 13.44 | +| microwave | 32.86 | 40.26 | +| pot | 27.84 | 31.36 | +| animal | 48.18 | 51.12 | +| bicycle | 43.19 | 57.32 | +| lake | 2.32 | 2.82 | +| dishwasher | 46.75 | 62.75 | +| screen | 51.18 | 75.17 | +| blanket | 3.35 | 3.66 | +| sculpture | 43.53 | 49.29 | +| hood | 44.8 | 51.66 | +| sconce | 29.96 | 39.25 | +| vase | 23.17 | 34.03 | +| traffic light | 16.92 | 21.86 | +| tray | 5.22 | 6.37 | +| ashcan | 24.96 | 48.21 | +| fan | 42.42 | 60.41 | +| pier | 39.09 | 48.76 | +| crt screen | 5.28 | 27.79 | +| plate | 33.2 | 38.39 | +| monitor | 20.6 | 60.58 | +| bulletin board | 8.72 | 9.57 | +| shower | 0.0 | 0.0 | +| radiator | 28.17 | 29.01 | +| glass | 7.78 | 9.11 | +| clock | 13.57 | 19.09 | +| flag | 31.92 | 36.94 | ++---------------------+-------+-------+ +2023/11/27 08:51:03 - mmengine - INFO - Iter(val) [250/250] aAcc: 78.2500 mIoU: 36.3000 mAcc: 48.0900 data_time: 0.0039 time: 0.7725 +2023/11/27 08:59:08 - mmengine - INFO - Iter(train) [ 5500/120000] base_lr: 1.9898e-04 lr: 1.9907e-05 eta: 1 day, 6:50:01 time: 0.9698 data_time: 0.0084 memory: 8148 grad_norm: 0.0681 loss: 0.0155 semantic_segmentation_loss_cls: 0.0155 +2023/11/27 09:07:12 - mmengine - INFO - Exp name: univision_single_semseg_base_20231127_072624 +2023/11/27 09:07:12 - mmengine - INFO - Iter(train) [ 6000/120000] base_lr: 1.9878e-04 lr: 1.9889e-05 eta: 1 day, 6:41:54 time: 0.9698 data_time: 0.0084 memory: 8148 grad_norm: 0.0667 loss: 0.0150 semantic_segmentation_loss_cls: 0.0150 +2023/11/27 09:15:17 - mmengine - INFO - Iter(train) [ 6500/120000] base_lr: 1.9857e-04 lr: 1.9870e-05 eta: 1 day, 6:33:52 time: 0.9699 data_time: 0.0084 memory: 8148 grad_norm: 0.0649 loss: 0.0144 semantic_segmentation_loss_cls: 0.0144 +2023/11/27 09:19:07 - mmengine - INFO - Exp name: univision_single_semseg_base_20231127_072624 +2023/11/27 09:23:22 - mmengine - INFO - Exp name: univision_single_semseg_base_20231127_072624 +2023/11/27 09:23:22 - mmengine - INFO - Iter(train) [ 7000/120000] base_lr: 1.9834e-04 lr: 1.9849e-05 eta: 1 day, 6:25:50 time: 0.9698 data_time: 0.0084 memory: 8148 grad_norm: 0.0639 loss: 0.0141 semantic_segmentation_loss_cls: 0.0141 +2023/11/27 09:31:27 - mmengine - INFO - Iter(train) [ 7500/120000] base_lr: 1.9810e-04 lr: 1.9827e-05 eta: 1 day, 6:17:47 time: 0.9699 data_time: 0.0084 memory: 8148 grad_norm: 0.0629 loss: 0.0137 semantic_segmentation_loss_cls: 0.0137 +2023/11/27 09:39:32 - mmengine - INFO - Exp name: univision_single_semseg_base_20231127_072624 +2023/11/27 09:39:32 - mmengine - INFO - Iter(train) [ 8000/120000] base_lr: 1.9784e-04 lr: 1.9803e-05 eta: 1 day, 6:09:41 time: 0.9698 data_time: 0.0084 memory: 8148 grad_norm: 0.0621 loss: 0.0134 semantic_segmentation_loss_cls: 0.0134 +2023/11/27 09:47:37 - mmengine - INFO - Iter(train) [ 8500/120000] base_lr: 1.9756e-04 lr: 1.9778e-05 eta: 1 day, 6:01:38 time: 0.9698 data_time: 0.0084 memory: 8148 grad_norm: 0.0611 loss: 0.0131 semantic_segmentation_loss_cls: 0.0131 +2023/11/27 09:55:41 - mmengine - INFO - Exp name: univision_single_semseg_base_20231127_072624 +2023/11/27 09:55:41 - mmengine - INFO - Iter(train) [ 9000/120000] base_lr: 1.9727e-04 lr: 1.9751e-05 eta: 1 day, 5:53:35 time: 0.9699 data_time: 0.0085 memory: 8148 grad_norm: 0.0604 loss: 0.0128 semantic_segmentation_loss_cls: 0.0128 +2023/11/27 10:03:46 - mmengine - INFO - Iter(train) [ 9500/120000] base_lr: 1.9695e-04 lr: 1.9723e-05 eta: 1 day, 5:45:30 time: 0.9696 data_time: 0.0081 memory: 8148 grad_norm: 0.0596 loss: 0.0125 semantic_segmentation_loss_cls: 0.0125 +2023/11/27 10:11:51 - mmengine - INFO - Exp name: univision_single_semseg_base_20231127_072624 +2023/11/27 10:11:51 - mmengine - INFO - Iter(train) [ 10000/120000] base_lr: 1.9663e-04 lr: 1.9693e-05 eta: 1 day, 5:37:27 time: 0.9697 data_time: 0.0081 memory: 8148 grad_norm: 0.0588 loss: 0.0124 semantic_segmentation_loss_cls: 0.0124 +2023/11/27 10:11:51 - mmengine - INFO - Saving checkpoint at 10000 iterations +2023/11/27 10:15:14 - mmengine - INFO - per class results: +2023/11/27 10:15:14 - mmengine - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 72.61 | 87.92 | +| building | 79.61 | 87.57 | +| sky | 92.8 | 96.08 | +| floor | 78.68 | 88.32 | +| tree | 72.16 | 88.91 | +| ceiling | 79.61 | 91.66 | +| road | 82.22 | 87.6 | +| bed | 84.52 | 93.16 | +| windowpane | 55.48 | 71.94 | +| grass | 63.09 | 72.46 | +| cabinet | 55.61 | 70.43 | +| sidewalk | 63.23 | 79.67 | +| person | 77.63 | 90.61 | +| earth | 34.37 | 45.42 | +| door | 43.09 | 65.89 | +| table | 52.6 | 68.26 | +| mountain | 50.5 | 64.54 | +| plant | 49.53 | 62.75 | +| curtain | 68.43 | 81.73 | +| chair | 47.89 | 60.02 | +| car | 80.51 | 90.67 | +| water | 45.07 | 59.22 | +| painting | 66.58 | 85.55 | +| sofa | 58.45 | 73.91 | +| shelf | 37.52 | 50.61 | +| house | 44.78 | 77.97 | +| sea | 43.65 | 65.2 | +| mirror | 58.95 | 69.39 | +| rug | 59.51 | 72.13 | +| field | 29.94 | 57.8 | +| armchair | 35.08 | 53.83 | +| seat | 56.39 | 69.44 | +| fence | 35.42 | 65.66 | +| desk | 31.09 | 71.87 | +| rock | 38.22 | 53.85 | +| wardrobe | 45.47 | 55.17 | +| lamp | 55.13 | 64.04 | +| bathtub | 67.52 | 81.73 | +| railing | 27.92 | 38.09 | +| cushion | 43.16 | 48.97 | +| base | 9.81 | 11.95 | +| box | 13.2 | 14.4 | +| column | 36.83 | 39.21 | +| signboard | 33.06 | 44.18 | +| chest of drawers | 40.27 | 44.86 | +| counter | 24.52 | 35.31 | +| sand | 30.15 | 64.51 | +| sink | 58.05 | 64.58 | +| skyscraper | 49.44 | 60.39 | +| fireplace | 49.28 | 53.24 | +| refrigerator | 59.69 | 63.65 | +| grandstand | 39.78 | 42.0 | +| path | 25.74 | 37.7 | +| stairs | 36.83 | 59.78 | +| runway | 68.9 | 92.75 | +| case | 42.0 | 67.0 | +| pool table | 90.59 | 95.35 | +| pillow | 44.2 | 63.72 | +| screen door | 46.21 | 69.21 | +| stairway | 29.42 | 32.92 | +| river | 6.92 | 13.64 | +| bridge | 34.96 | 42.34 | +| bookcase | 30.47 | 40.88 | +| blind | 32.75 | 35.87 | +| coffee table | 56.65 | 67.86 | +| toilet | 75.59 | 86.01 | +| flower | 27.52 | 54.05 | +| book | 43.24 | 56.16 | +| hill | 4.2 | 13.55 | +| bench | 35.95 | 40.22 | +| countertop | 42.66 | 65.8 | +| stove | 50.92 | 56.75 | +| palm | 40.03 | 65.15 | +| kitchen island | 39.63 | 70.92 | +| computer | 43.27 | 50.1 | +| swivel chair | 34.26 | 46.95 | +| boat | 37.72 | 40.28 | +| bar | 34.45 | 39.42 | +| arcade machine | 49.91 | 62.64 | +| hovel | 9.92 | 14.07 | +| bus | 69.26 | 72.04 | +| towel | 49.56 | 61.14 | +| light | 44.73 | 55.13 | +| truck | 14.28 | 18.4 | +| tower | 27.31 | 43.31 | +| chandelier | 56.13 | 71.06 | +| awning | 14.9 | 16.15 | +| streetlight | 25.97 | 37.11 | +| booth | 17.54 | 18.62 | +| television receiver | 59.92 | 71.5 | +| airplane | 53.27 | 60.1 | +| dirt track | 0.0 | 0.0 | +| apparel | 24.53 | 36.11 | +| pole | 25.65 | 45.6 | +| land | 18.35 | 24.03 | +| bannister | 8.32 | 11.29 | +| escalator | 5.17 | 5.68 | +| ottoman | 35.15 | 44.08 | +| bottle | 15.0 | 17.87 | +| buffet | 22.41 | 23.76 | +| poster | 28.13 | 28.96 | +| stage | 9.34 | 14.58 | +| van | 21.54 | 35.99 | +| ship | 21.31 | 27.79 | +| fountain | 10.55 | 11.25 | +| conveyer belt | 38.04 | 42.02 | +| canopy | 11.04 | 16.46 | +| washer | 57.3 | 59.94 | +| plaything | 24.87 | 28.37 | +| swimming pool | 29.91 | 52.68 | +| stool | 23.27 | 26.35 | +| barrel | 24.99 | 70.37 | +| basket | 23.25 | 31.56 | +| waterfall | 64.29 | 91.89 | +| tent | 83.36 | 97.68 | +| bag | 3.94 | 4.28 | +| minibike | 55.55 | 64.02 | +| cradle | 66.31 | 80.86 | +| oven | 33.03 | 64.24 | +| ball | 44.98 | 58.9 | +| food | 42.03 | 48.71 | +| step | 9.59 | 10.37 | +| tank | 27.31 | 30.52 | +| trade name | 26.05 | 36.51 | +| microwave | 32.92 | 36.44 | +| pot | 31.83 | 38.53 | +| animal | 50.81 | 54.82 | +| bicycle | 41.53 | 60.94 | +| lake | 28.59 | 60.64 | +| dishwasher | 46.11 | 63.91 | +| screen | 74.63 | 81.31 | +| blanket | 14.46 | 26.16 | +| sculpture | 42.88 | 47.86 | +| hood | 47.86 | 50.34 | +| sconce | 37.23 | 57.99 | +| vase | 23.22 | 29.11 | +| traffic light | 25.84 | 37.39 | +| tray | 4.66 | 9.45 | +| ashcan | 28.92 | 37.02 | +| fan | 50.68 | 66.77 | +| pier | 27.44 | 80.01 | +| crt screen | 7.66 | 28.48 | +| plate | 39.67 | 55.47 | +| monitor | 47.85 | 54.06 | +| bulletin board | 27.32 | 33.83 | +| shower | 0.41 | 1.88 | +| radiator | 38.85 | 42.25 | +| glass | 7.54 | 8.01 | +| clock | 15.11 | 19.01 | +| flag | 27.62 | 32.29 | ++---------------------+-------+-------+ +2023/11/27 10:15:14 - mmengine - INFO - Iter(val) [250/250] aAcc: 79.5400 mIoU: 40.0800 mAcc: 51.7400 data_time: 0.0019 time: 0.7716 +2023/11/27 10:23:19 - mmengine - INFO - Iter(train) [ 10500/120000] base_lr: 1.9628e-04 lr: 1.9662e-05 eta: 1 day, 5:29:29 time: 0.9698 data_time: 0.0083 memory: 8148 grad_norm: 0.0580 loss: 0.0122 semantic_segmentation_loss_cls: 0.0122 +2023/11/27 10:31:24 - mmengine - INFO - Exp name: univision_single_semseg_base_20231127_072624 +2023/11/27 10:31:24 - mmengine - INFO - Iter(train) [ 11000/120000] base_lr: 1.9592e-04 lr: 1.9629e-05 eta: 1 day, 5:21:24 time: 0.9698 data_time: 0.0083 memory: 8148 grad_norm: 0.0573 loss: 0.0120 semantic_segmentation_loss_cls: 0.0120 +2023/11/27 10:39:28 - mmengine - INFO - Iter(train) [ 11500/120000] base_lr: 1.9555e-04 lr: 1.9595e-05 eta: 1 day, 5:13:17 time: 0.9697 data_time: 0.0083 memory: 8148 grad_norm: 0.0566 loss: 0.0118 semantic_segmentation_loss_cls: 0.0118 +2023/11/27 10:47:33 - mmengine - INFO - Exp name: univision_single_semseg_base_20231127_072624 +2023/11/27 10:47:33 - mmengine - INFO - Iter(train) [ 12000/120000] base_lr: 1.9516e-04 lr: 1.9560e-05 eta: 1 day, 5:05:14 time: 0.9698 data_time: 0.0083 memory: 8148 grad_norm: 0.0558 loss: 0.0117 semantic_segmentation_loss_cls: 0.0117 +2023/11/27 10:55:38 - mmengine - INFO - Iter(train) [ 12500/120000] base_lr: 1.9475e-04 lr: 1.9522e-05 eta: 1 day, 4:57:07 time: 0.9697 data_time: 0.0083 memory: 8148 grad_norm: 0.0548 loss: 0.0115 semantic_segmentation_loss_cls: 0.0115 +2023/11/27 11:03:42 - mmengine - INFO - Exp name: univision_single_semseg_base_20231127_072624 +2023/11/27 11:03:42 - mmengine - INFO - Iter(train) [ 13000/120000] base_lr: 1.9432e-04 lr: 1.9484e-05 eta: 1 day, 4:49:02 time: 0.9697 data_time: 0.0083 memory: 8148 grad_norm: 0.0540 loss: 0.0114 semantic_segmentation_loss_cls: 0.0114 +2023/11/27 11:11:47 - mmengine - INFO - Iter(train) [ 13500/120000] base_lr: 1.9388e-04 lr: 1.9444e-05 eta: 1 day, 4:40:58 time: 0.9697 data_time: 0.0083 memory: 8148 grad_norm: 0.0530 loss: 0.0112 semantic_segmentation_loss_cls: 0.0112 +2023/11/27 11:19:52 - mmengine - INFO - Exp name: univision_single_semseg_base_20231127_072624 +2023/11/27 11:19:52 - mmengine - INFO - Iter(train) [ 14000/120000] base_lr: 1.9343e-04 lr: 1.9402e-05 eta: 1 day, 4:32:52 time: 0.9696 data_time: 0.0083 memory: 8148 grad_norm: 0.0522 loss: 0.0109 semantic_segmentation_loss_cls: 0.0109 +2023/11/27 11:27:57 - mmengine - INFO - Iter(train) [ 14500/120000] base_lr: 1.9295e-04 lr: 1.9359e-05 eta: 1 day, 4:24:48 time: 0.9695 data_time: 0.0081 memory: 8148 grad_norm: 0.0516 loss: 0.0107 semantic_segmentation_loss_cls: 0.0107 +2023/11/27 11:36:02 - mmengine - INFO - Exp name: univision_single_semseg_base_20231127_072624 +2023/11/27 11:36:02 - mmengine - INFO - Iter(train) [ 15000/120000] base_lr: 1.9247e-04 lr: 1.9315e-05 eta: 1 day, 4:16:43 time: 0.9695 data_time: 0.0081 memory: 8148 grad_norm: 0.0510 loss: 0.0105 semantic_segmentation_loss_cls: 0.0105 +2023/11/27 11:39:16 - mmengine - INFO - per class results: +2023/11/27 11:39:16 - mmengine - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 75.47 | 88.2 | +| building | 81.23 | 91.75 | +| sky | 92.6 | 96.6 | +| floor | 80.85 | 88.15 | +| tree | 70.93 | 87.64 | +| ceiling | 80.9 | 90.39 | +| road | 80.52 | 87.73 | +| bed | 84.92 | 94.55 | +| windowpane | 58.1 | 76.81 | +| grass | 67.6 | 80.56 | +| cabinet | 54.87 | 63.84 | +| sidewalk | 55.98 | 65.38 | +| person | 76.19 | 85.84 | +| earth | 38.69 | 61.43 | +| door | 43.21 | 52.38 | +| table | 54.14 | 76.94 | +| mountain | 53.1 | 83.25 | +| plant | 45.39 | 54.95 | +| curtain | 70.08 | 82.85 | +| chair | 51.83 | 70.97 | +| car | 79.63 | 90.29 | +| water | 53.49 | 71.44 | +| painting | 64.66 | 85.94 | +| sofa | 60.07 | 72.5 | +| shelf | 38.7 | 51.34 | +| house | 41.39 | 60.44 | +| sea | 51.99 | 74.3 | +| mirror | 62.88 | 72.6 | +| rug | 70.75 | 76.11 | +| field | 19.25 | 22.65 | +| armchair | 38.19 | 62.64 | +| seat | 59.5 | 77.99 | +| fence | 39.71 | 58.87 | +| desk | 32.93 | 70.68 | +| rock | 33.78 | 45.49 | +| wardrobe | 55.22 | 71.93 | +| lamp | 54.58 | 76.87 | +| bathtub | 67.75 | 72.47 | +| railing | 31.4 | 63.18 | +| cushion | 46.14 | 59.25 | +| base | 17.87 | 24.98 | +| box | 16.36 | 21.43 | +| column | 44.8 | 68.22 | +| signboard | 34.87 | 44.88 | +| chest of drawers | 39.87 | 67.66 | +| counter | 27.76 | 45.56 | +| sand | 40.22 | 45.59 | +| sink | 60.7 | 79.09 | +| skyscraper | 47.94 | 61.57 | +| fireplace | 60.86 | 75.54 | +| refrigerator | 63.54 | 71.42 | +| grandstand | 38.5 | 66.92 | +| path | 21.98 | 31.79 | +| stairs | 16.52 | 17.91 | +| runway | 74.37 | 75.04 | +| case | 40.07 | 53.65 | +| pool table | 90.61 | 93.88 | +| pillow | 50.1 | 71.96 | +| screen door | 51.69 | 61.08 | +| stairway | 27.14 | 61.54 | +| river | 11.69 | 16.09 | +| bridge | 35.32 | 47.39 | +| bookcase | 20.92 | 25.87 | +| blind | 31.37 | 34.12 | +| coffee table | 58.09 | 69.52 | +| toilet | 78.53 | 81.44 | +| flower | 32.99 | 52.91 | +| book | 43.85 | 70.74 | +| hill | 4.02 | 4.92 | +| bench | 34.84 | 42.68 | +| countertop | 48.54 | 58.22 | +| stove | 67.74 | 76.28 | +| palm | 40.71 | 55.45 | +| kitchen island | 40.97 | 68.83 | +| computer | 50.73 | 63.0 | +| swivel chair | 35.97 | 41.67 | +| boat | 40.51 | 43.33 | +| bar | 27.09 | 30.83 | +| arcade machine | 49.15 | 56.09 | +| hovel | 7.35 | 8.29 | +| bus | 65.58 | 67.63 | +| towel | 61.03 | 67.87 | +| light | 43.69 | 50.37 | +| truck | 17.06 | 24.9 | +| tower | 30.31 | 50.11 | +| chandelier | 57.68 | 69.97 | +| awning | 20.36 | 22.72 | +| streetlight | 26.05 | 30.46 | +| booth | 41.59 | 47.31 | +| television receiver | 63.31 | 71.7 | +| airplane | 52.09 | 61.87 | +| dirt track | 4.16 | 18.29 | +| apparel | 34.53 | 49.88 | +| pole | 25.23 | 34.99 | +| land | 0.05 | 0.07 | +| bannister | 8.16 | 9.51 | +| escalator | 6.13 | 6.23 | +| ottoman | 38.48 | 48.85 | +| bottle | 14.37 | 17.68 | +| buffet | 38.13 | 76.79 | +| poster | 19.54 | 24.24 | +| stage | 15.72 | 26.98 | +| van | 10.2 | 16.01 | +| ship | 54.4 | 80.19 | +| fountain | 8.38 | 11.93 | +| conveyer belt | 67.37 | 83.63 | +| canopy | 15.59 | 26.07 | +| washer | 66.74 | 74.6 | +| plaything | 18.16 | 20.97 | +| swimming pool | 41.65 | 50.12 | +| stool | 35.51 | 39.94 | +| barrel | 45.68 | 47.45 | +| basket | 22.75 | 28.57 | +| waterfall | 57.78 | 83.42 | +| tent | 91.63 | 96.47 | +| bag | 7.94 | 9.53 | +| minibike | 45.62 | 56.3 | +| cradle | 62.71 | 92.97 | +| oven | 45.59 | 63.42 | +| ball | 34.77 | 40.45 | +| food | 48.11 | 54.75 | +| step | 7.62 | 9.06 | +| tank | 42.11 | 55.69 | +| trade name | 3.0 | 3.06 | +| microwave | 32.22 | 34.15 | +| pot | 44.0 | 56.06 | +| animal | 50.49 | 54.28 | +| bicycle | 45.16 | 78.34 | +| lake | 43.8 | 44.53 | +| dishwasher | 61.87 | 65.51 | +| screen | 58.66 | 78.55 | +| blanket | 13.93 | 15.58 | +| sculpture | 32.84 | 57.34 | +| hood | 42.51 | 44.87 | +| sconce | 37.35 | 56.18 | +| vase | 30.12 | 43.31 | +| traffic light | 24.07 | 28.87 | +| tray | 5.17 | 6.83 | +| ashcan | 28.82 | 37.74 | +| fan | 45.71 | 54.92 | +| pier | 6.4 | 8.57 | +| crt screen | 10.92 | 18.71 | +| plate | 47.76 | 67.58 | +| monitor | 15.44 | 20.12 | +| bulletin board | 30.76 | 43.24 | +| shower | 0.86 | 4.66 | +| radiator | 41.7 | 44.8 | +| glass | 9.95 | 10.75 | +| clock | 16.06 | 24.46 | +| flag | 28.03 | 33.01 | ++---------------------+-------+-------+ +2023/11/27 11:39:16 - mmengine - INFO - Iter(val) [250/250] aAcc: 80.6200 mIoU: 41.7700 mAcc: 53.0700 data_time: 0.0019 time: 0.7623 +2023/11/27 11:47:21 - mmengine - INFO - Iter(train) [ 15500/120000] base_lr: 1.9196e-04 lr: 1.9269e-05 eta: 1 day, 4:09:06 time: 0.9706 data_time: 0.0091 memory: 8148 grad_norm: 0.0502 loss: 0.0104 semantic_segmentation_loss_cls: 0.0104 +2023/11/27 11:55:26 - mmengine - INFO - Exp name: univision_single_semseg_base_20231127_072624 +2023/11/27 11:55:26 - mmengine - INFO - Iter(train) [ 16000/120000] base_lr: 1.9144e-04 lr: 1.9222e-05 eta: 1 day, 4:00:58 time: 0.9705 data_time: 0.0091 memory: 8148 grad_norm: 0.0497 loss: 0.0102 semantic_segmentation_loss_cls: 0.0102 +2023/11/27 12:03:30 - mmengine - INFO - Iter(train) [ 16500/120000] base_lr: 1.9091e-04 lr: 1.9173e-05 eta: 1 day, 3:52:52 time: 0.9705 data_time: 0.0091 memory: 8148 grad_norm: 0.0493 loss: 0.0101 semantic_segmentation_loss_cls: 0.0101 +2023/11/27 12:11:35 - mmengine - INFO - Exp name: univision_single_semseg_base_20231127_072624 +2023/11/27 12:11:35 - mmengine - INFO - Iter(train) [ 17000/120000] base_lr: 1.9036e-04 lr: 1.9123e-05 eta: 1 day, 3:44:45 time: 0.9705 data_time: 0.0091 memory: 8148 grad_norm: 0.0488 loss: 0.0100 semantic_segmentation_loss_cls: 0.0100 +2023/11/27 12:19:40 - mmengine - INFO - Iter(train) [ 17500/120000] base_lr: 1.8979e-04 lr: 1.9072e-05 eta: 1 day, 3:36:39 time: 0.9704 data_time: 0.0091 memory: 8148 grad_norm: 0.0489 loss: 0.0099 semantic_segmentation_loss_cls: 0.0099 +2023/11/27 12:27:45 - mmengine - INFO - Exp name: univision_single_semseg_base_20231127_072624 +2023/11/27 12:27:45 - mmengine - INFO - Iter(train) [ 18000/120000] base_lr: 1.8921e-04 lr: 1.9019e-05 eta: 1 day, 3:28:34 time: 0.9704 data_time: 0.0091 memory: 8148 grad_norm: 0.0485 loss: 0.0098 semantic_segmentation_loss_cls: 0.0098 +2023/11/27 12:35:49 - mmengine - INFO - Iter(train) [ 18500/120000] base_lr: 1.8861e-04 lr: 1.8965e-05 eta: 1 day, 3:20:27 time: 0.9703 data_time: 0.0091 memory: 8148 grad_norm: 0.0480 loss: 0.0098 semantic_segmentation_loss_cls: 0.0098 +2023/11/27 12:43:54 - mmengine - INFO - Exp name: univision_single_semseg_base_20231127_072624 +2023/11/27 12:43:54 - mmengine - INFO - Iter(train) [ 19000/120000] base_lr: 1.8800e-04 lr: 1.8909e-05 eta: 1 day, 3:12:21 time: 0.9703 data_time: 0.0091 memory: 8148 grad_norm: 0.0472 loss: 0.0096 semantic_segmentation_loss_cls: 0.0096 +2023/11/27 12:51:58 - mmengine - INFO - Iter(train) [ 19500/120000] base_lr: 1.8738e-04 lr: 1.8853e-05 eta: 1 day, 3:04:14 time: 0.9692 data_time: 0.0081 memory: 8148 grad_norm: 0.0470 loss: 0.0096 semantic_segmentation_loss_cls: 0.0096 +2023/11/27 13:00:03 - mmengine - INFO - Exp name: univision_single_semseg_base_20231127_072624 +2023/11/27 13:00:03 - mmengine - INFO - Iter(train) [ 20000/120000] base_lr: 1.8674e-04 lr: 1.8794e-05 eta: 1 day, 2:56:08 time: 0.9692 data_time: 0.0081 memory: 8148 grad_norm: 0.0462 loss: 0.0095 semantic_segmentation_loss_cls: 0.0095 +2023/11/27 13:00:03 - mmengine - INFO - Saving checkpoint at 20000 iterations +2023/11/27 13:03:24 - mmengine - INFO - per class results: +2023/11/27 13:03:24 - mmengine - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 75.4 | 85.39 | +| building | 79.36 | 91.84 | +| sky | 93.16 | 97.41 | +| floor | 78.97 | 90.44 | +| tree | 71.06 | 86.6 | +| ceiling | 83.38 | 93.2 | +| road | 80.35 | 85.49 | +| bed | 86.93 | 93.61 | +| windowpane | 59.1 | 78.98 | +| grass | 62.43 | 71.51 | +| cabinet | 58.65 | 71.76 | +| sidewalk | 63.59 | 81.61 | +| person | 76.49 | 89.84 | +| earth | 37.74 | 55.06 | +| door | 44.65 | 59.03 | +| table | 56.73 | 77.86 | +| mountain | 50.31 | 70.81 | +| plant | 47.14 | 56.77 | +| curtain | 71.36 | 83.22 | +| chair | 52.87 | 70.29 | +| car | 79.85 | 90.61 | +| water | 54.24 | 72.52 | +| painting | 66.75 | 85.0 | +| sofa | 57.95 | 70.64 | +| shelf | 35.07 | 60.76 | +| house | 40.91 | 63.14 | +| sea | 46.97 | 68.73 | +| mirror | 61.88 | 73.29 | +| rug | 59.82 | 62.88 | +| field | 22.77 | 36.25 | +| armchair | 39.86 | 62.45 | +| seat | 55.06 | 74.39 | +| fence | 36.72 | 61.83 | +| desk | 43.81 | 56.75 | +| rock | 27.52 | 39.58 | +| wardrobe | 50.6 | 70.63 | +| lamp | 57.67 | 71.34 | +| bathtub | 72.59 | 74.32 | +| railing | 29.73 | 36.3 | +| cushion | 55.04 | 70.56 | +| base | 19.08 | 26.84 | +| box | 16.58 | 20.38 | +| column | 45.28 | 53.94 | +| signboard | 28.37 | 60.55 | +| chest of drawers | 39.12 | 47.43 | +| counter | 27.75 | 46.61 | +| sand | 39.86 | 48.2 | +| sink | 57.38 | 75.71 | +| skyscraper | 31.87 | 36.11 | +| fireplace | 62.72 | 89.77 | +| refrigerator | 62.71 | 69.33 | +| grandstand | 37.0 | 74.15 | +| path | 24.59 | 31.83 | +| stairs | 23.13 | 28.1 | +| runway | 69.09 | 87.04 | +| case | 32.33 | 69.78 | +| pool table | 89.32 | 93.13 | +| pillow | 53.69 | 67.7 | +| screen door | 70.3 | 74.28 | +| stairway | 21.69 | 34.96 | +| river | 15.85 | 21.05 | +| bridge | 34.1 | 42.27 | +| bookcase | 30.63 | 60.28 | +| blind | 37.47 | 42.71 | +| coffee table | 58.71 | 76.5 | +| toilet | 77.5 | 82.8 | +| flower | 34.03 | 47.83 | +| book | 41.95 | 65.15 | +| hill | 5.26 | 10.44 | +| bench | 38.28 | 46.31 | +| countertop | 49.27 | 58.35 | +| stove | 64.95 | 78.02 | +| palm | 40.0 | 50.08 | +| kitchen island | 44.2 | 66.73 | +| computer | 57.58 | 69.48 | +| swivel chair | 37.98 | 47.49 | +| boat | 68.29 | 77.36 | +| bar | 17.98 | 21.99 | +| arcade machine | 54.07 | 56.19 | +| hovel | 0.0 | 0.0 | +| bus | 76.38 | 83.96 | +| towel | 53.25 | 75.92 | +| light | 48.14 | 60.28 | +| truck | 28.45 | 42.57 | +| tower | 21.49 | 36.43 | +| chandelier | 55.03 | 67.27 | +| awning | 27.17 | 36.18 | +| streetlight | 25.26 | 34.87 | +| booth | 38.32 | 42.96 | +| television receiver | 57.53 | 77.47 | +| airplane | 45.15 | 66.05 | +| dirt track | 1.59 | 6.02 | +| apparel | 31.55 | 52.01 | +| pole | 19.93 | 26.86 | +| land | 4.0 | 4.99 | +| bannister | 4.72 | 6.19 | +| escalator | 23.42 | 27.0 | +| ottoman | 15.12 | 16.3 | +| bottle | 14.04 | 18.06 | +| buffet | 53.71 | 67.03 | +| poster | 25.2 | 39.42 | +| stage | 13.02 | 25.9 | +| van | 21.94 | 28.21 | +| ship | 18.0 | 18.04 | +| fountain | 9.15 | 10.26 | +| conveyer belt | 68.44 | 86.84 | +| canopy | 12.49 | 15.11 | +| washer | 64.5 | 70.54 | +| plaything | 31.5 | 36.62 | +| swimming pool | 48.67 | 61.61 | +| stool | 39.81 | 47.2 | +| barrel | 28.4 | 29.0 | +| basket | 19.82 | 22.62 | +| waterfall | 30.39 | 32.42 | +| tent | 84.32 | 94.29 | +| bag | 6.18 | 7.95 | +| minibike | 47.69 | 54.69 | +| cradle | 71.51 | 91.42 | +| oven | 33.36 | 49.23 | +| ball | 39.54 | 54.79 | +| food | 40.51 | 51.94 | +| step | 7.79 | 9.6 | +| tank | 29.62 | 37.27 | +| trade name | 19.26 | 21.22 | +| microwave | 31.96 | 34.68 | +| pot | 40.77 | 47.42 | +| animal | 47.42 | 60.23 | +| bicycle | 33.89 | 50.06 | +| lake | 45.89 | 64.65 | +| dishwasher | 19.21 | 19.52 | +| screen | 64.3 | 86.29 | +| blanket | 6.12 | 6.27 | +| sculpture | 57.82 | 67.5 | +| hood | 57.0 | 64.23 | +| sconce | 35.25 | 43.69 | +| vase | 25.9 | 37.22 | +| traffic light | 28.52 | 49.24 | +| tray | 3.52 | 4.11 | +| ashcan | 28.63 | 33.52 | +| fan | 53.99 | 70.19 | +| pier | 43.33 | 78.74 | +| crt screen | 4.05 | 8.1 | +| plate | 49.76 | 66.4 | +| monitor | 32.89 | 43.98 | +| bulletin board | 22.16 | 59.11 | +| shower | 1.91 | 11.26 | +| radiator | 27.63 | 28.32 | +| glass | 12.14 | 13.5 | +| clock | 15.77 | 17.72 | +| flag | 25.68 | 29.13 | ++---------------------+-------+-------+ +2023/11/27 13:03:24 - mmengine - INFO - Iter(val) [250/250] aAcc: 80.5200 mIoU: 41.7000 mAcc: 53.2600 data_time: 0.0019 time: 0.7636 +2023/11/27 13:11:28 - mmengine - INFO - Iter(train) [ 20500/120000] base_lr: 1.8608e-04 lr: 1.8735e-05 eta: 1 day, 2:48:04 time: 0.9694 data_time: 0.0083 memory: 8148 grad_norm: 0.0456 loss: 0.0094 semantic_segmentation_loss_cls: 0.0094 +2023/11/27 13:19:32 - mmengine - INFO - Exp name: univision_single_semseg_base_20231127_072624 +2023/11/27 13:19:32 - mmengine - INFO - Iter(train) [ 21000/120000] base_lr: 1.8541e-04 lr: 1.8674e-05 eta: 1 day, 2:39:57 time: 0.9693 data_time: 0.0083 memory: 8148 grad_norm: 0.0450 loss: 0.0094 semantic_segmentation_loss_cls: 0.0094 +2023/11/27 13:27:37 - mmengine - INFO - Iter(train) [ 21500/120000] base_lr: 1.8473e-04 lr: 1.8612e-05 eta: 1 day, 2:31:53 time: 0.9694 data_time: 0.0083 memory: 8148 grad_norm: 0.0442 loss: 0.0093 semantic_segmentation_loss_cls: 0.0093 +2023/11/27 13:35:42 - mmengine - INFO - Exp name: univision_single_semseg_base_20231127_072624 +2023/11/27 13:35:42 - mmengine - INFO - Iter(train) [ 22000/120000] base_lr: 1.8403e-04 lr: 1.8548e-05 eta: 1 day, 2:23:46 time: 0.9692 data_time: 0.0083 memory: 8148 grad_norm: 0.0437 loss: 0.0092 semantic_segmentation_loss_cls: 0.0092 +2023/11/27 13:43:47 - mmengine - INFO - Iter(train) [ 22500/120000] base_lr: 1.8332e-04 lr: 1.8483e-05 eta: 1 day, 2:15:42 time: 0.9694 data_time: 0.0083 memory: 8148 grad_norm: 0.0434 loss: 0.0091 semantic_segmentation_loss_cls: 0.0091 +2023/11/27 13:51:51 - mmengine - INFO - Exp name: univision_single_semseg_base_20231127_072624 +2023/11/27 13:51:51 - mmengine - INFO - Iter(train) [ 23000/120000] base_lr: 1.8259e-04 lr: 1.8417e-05 eta: 1 day, 2:07:36 time: 0.9693 data_time: 0.0083 memory: 8148 grad_norm: 0.0429 loss: 0.0090 semantic_segmentation_loss_cls: 0.0090 +2023/11/27 13:59:56 - mmengine - INFO - Iter(train) [ 23500/120000] base_lr: 1.8185e-04 lr: 1.8350e-05 eta: 1 day, 1:59:29 time: 0.9693 data_time: 0.0083 memory: 8148 grad_norm: 0.0426 loss: 0.0090 semantic_segmentation_loss_cls: 0.0090 +2023/11/27 14:08:01 - mmengine - INFO - Exp name: univision_single_semseg_base_20231127_072624 +2023/11/27 14:08:01 - mmengine - INFO - Iter(train) [ 24000/120000] base_lr: 1.8109e-04 lr: 1.8281e-05 eta: 1 day, 1:51:25 time: 0.9694 data_time: 0.0083 memory: 8148 grad_norm: 0.0424 loss: 0.0089 semantic_segmentation_loss_cls: 0.0089 +2023/11/27 14:16:05 - mmengine - INFO - Iter(train) [ 24500/120000] base_lr: 1.8033e-04 lr: 1.8211e-05 eta: 1 day, 1:43:18 time: 0.9692 data_time: 0.0081 memory: 8148 grad_norm: 0.0420 loss: 0.0088 semantic_segmentation_loss_cls: 0.0088 +2023/11/27 14:24:10 - mmengine - INFO - Exp name: univision_single_semseg_base_20231127_072624 +2023/11/27 14:24:10 - mmengine - INFO - Iter(train) [ 25000/120000] base_lr: 1.7954e-04 lr: 1.8140e-05 eta: 1 day, 1:35:14 time: 0.9694 data_time: 0.0081 memory: 8148 grad_norm: 0.0415 loss: 0.0088 semantic_segmentation_loss_cls: 0.0088 +2023/11/27 14:27:23 - mmengine - INFO - per class results: +2023/11/27 14:27:23 - mmengine - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 74.68 | 90.05 | +| building | 79.6 | 87.58 | +| sky | 92.79 | 96.49 | +| floor | 79.42 | 89.34 | +| tree | 72.63 | 88.19 | +| ceiling | 82.59 | 93.04 | +| road | 81.36 | 87.91 | +| bed | 86.28 | 94.2 | +| windowpane | 58.94 | 72.49 | +| grass | 65.57 | 83.22 | +| cabinet | 58.9 | 73.16 | +| sidewalk | 63.59 | 81.62 | +| person | 77.39 | 88.03 | +| earth | 33.09 | 41.43 | +| door | 48.1 | 68.63 | +| table | 55.71 | 71.06 | +| mountain | 48.32 | 62.69 | +| plant | 49.19 | 58.28 | +| curtain | 69.06 | 78.44 | +| chair | 51.7 | 61.13 | +| car | 79.55 | 90.48 | +| water | 51.5 | 66.53 | +| painting | 68.21 | 81.55 | +| sofa | 58.98 | 79.39 | +| shelf | 38.6 | 53.3 | +| house | 44.36 | 74.7 | +| sea | 56.54 | 81.03 | +| mirror | 62.02 | 70.75 | +| rug | 65.32 | 72.03 | +| field | 20.8 | 34.95 | +| armchair | 34.59 | 49.46 | +| seat | 57.13 | 70.98 | +| fence | 42.04 | 58.83 | +| desk | 45.3 | 63.61 | +| rock | 29.36 | 42.23 | +| wardrobe | 44.45 | 65.62 | +| lamp | 55.7 | 63.38 | +| bathtub | 77.27 | 82.75 | +| railing | 26.65 | 36.65 | +| cushion | 51.48 | 63.87 | +| base | 12.77 | 20.16 | +| box | 18.08 | 28.86 | +| column | 46.04 | 56.49 | +| signboard | 32.84 | 43.74 | +| chest of drawers | 35.88 | 41.58 | +| counter | 20.02 | 36.9 | +| sand | 35.45 | 45.45 | +| sink | 65.65 | 74.76 | +| skyscraper | 48.35 | 60.18 | +| fireplace | 61.48 | 70.66 | +| refrigerator | 67.01 | 74.36 | +| grandstand | 29.12 | 64.49 | +| path | 21.31 | 29.0 | +| stairs | 28.51 | 39.68 | +| runway | 75.38 | 80.94 | +| case | 35.33 | 46.64 | +| pool table | 89.72 | 94.58 | +| pillow | 49.05 | 65.12 | +| screen door | 71.88 | 82.35 | +| stairway | 37.84 | 48.55 | +| river | 10.24 | 24.92 | +| bridge | 66.88 | 81.67 | +| bookcase | 34.91 | 55.51 | +| blind | 39.06 | 44.42 | +| coffee table | 49.67 | 85.62 | +| toilet | 81.0 | 88.72 | +| flower | 29.39 | 51.34 | +| book | 43.21 | 53.87 | +| hill | 5.32 | 15.5 | +| bench | 39.86 | 50.05 | +| countertop | 48.46 | 62.77 | +| stove | 65.79 | 76.97 | +| palm | 43.39 | 63.87 | +| kitchen island | 36.71 | 50.71 | +| computer | 49.85 | 54.27 | +| swivel chair | 41.73 | 62.17 | +| boat | 59.42 | 68.77 | +| bar | 23.77 | 29.36 | +| arcade machine | 34.74 | 36.37 | +| hovel | 18.4 | 21.29 | +| bus | 76.2 | 82.05 | +| towel | 53.25 | 77.25 | +| light | 44.98 | 51.7 | +| truck | 21.14 | 30.71 | +| tower | 26.88 | 43.24 | +| chandelier | 59.79 | 71.02 | +| awning | 23.74 | 44.08 | +| streetlight | 23.0 | 27.41 | +| booth | 36.53 | 40.55 | +| television receiver | 61.85 | 64.37 | +| airplane | 57.42 | 64.71 | +| dirt track | 4.94 | 19.11 | +| apparel | 23.91 | 35.91 | +| pole | 21.76 | 35.5 | +| land | 1.81 | 2.45 | +| bannister | 13.06 | 22.45 | +| escalator | 20.99 | 23.32 | +| ottoman | 42.38 | 61.7 | +| bottle | 16.86 | 20.68 | +| buffet | 47.43 | 54.25 | +| poster | 25.55 | 41.63 | +| stage | 16.16 | 26.18 | +| van | 24.24 | 35.77 | +| ship | 66.84 | 75.49 | +| fountain | 16.29 | 18.85 | +| conveyer belt | 74.97 | 87.5 | +| canopy | 13.7 | 22.19 | +| washer | 60.42 | 66.09 | +| plaything | 24.6 | 36.7 | +| swimming pool | 39.15 | 50.44 | +| stool | 40.55 | 51.66 | +| barrel | 19.03 | 60.11 | +| basket | 24.09 | 28.07 | +| waterfall | 36.73 | 49.98 | +| tent | 88.44 | 98.21 | +| bag | 12.84 | 16.45 | +| minibike | 55.2 | 74.79 | +| cradle | 73.56 | 91.63 | +| oven | 41.91 | 49.86 | +| ball | 40.67 | 47.34 | +| food | 57.03 | 77.24 | +| step | 12.95 | 18.98 | +| tank | 38.83 | 43.78 | +| trade name | 24.72 | 31.1 | +| microwave | 36.62 | 43.3 | +| pot | 43.74 | 54.23 | +| animal | 42.18 | 43.45 | +| bicycle | 52.23 | 64.31 | +| lake | 49.64 | 61.56 | +| dishwasher | 57.86 | 63.13 | +| screen | 66.13 | 83.1 | +| blanket | 11.06 | 12.71 | +| sculpture | 46.68 | 53.54 | +| hood | 58.5 | 62.24 | +| sconce | 33.86 | 42.57 | +| vase | 31.97 | 49.03 | +| traffic light | 22.95 | 27.07 | +| tray | 7.89 | 11.11 | +| ashcan | 34.3 | 58.99 | +| fan | 57.27 | 68.66 | +| pier | 68.66 | 75.7 | +| crt screen | 9.68 | 26.09 | +| plate | 50.06 | 60.82 | +| monitor | 4.36 | 5.02 | +| bulletin board | 33.49 | 48.61 | +| shower | 0.0 | 0.0 | +| radiator | 37.3 | 39.07 | +| glass | 4.96 | 5.14 | +| clock | 18.17 | 25.29 | +| flag | 29.22 | 32.92 | ++---------------------+-------+-------+ +2023/11/27 14:27:23 - mmengine - INFO - Iter(val) [250/250] aAcc: 80.7400 mIoU: 43.7200 mAcc: 54.9500 data_time: 0.0018 time: 0.7639 +2023/11/27 14:35:27 - mmengine - INFO - Iter(train) [ 25500/120000] base_lr: 1.7875e-04 lr: 1.8068e-05 eta: 1 day, 1:27:14 time: 0.9697 data_time: 0.0086 memory: 8148 grad_norm: 0.0410 loss: 0.0087 semantic_segmentation_loss_cls: 0.0087 +2023/11/27 14:43:32 - mmengine - INFO - Exp name: univision_single_semseg_base_20231127_072624 +2023/11/27 14:43:32 - mmengine - INFO - Iter(train) [ 26000/120000] base_lr: 1.7794e-04 lr: 1.7994e-05 eta: 1 day, 1:19:10 time: 0.9699 data_time: 0.0086 memory: 8148 grad_norm: 0.0406 loss: 0.0087 semantic_segmentation_loss_cls: 0.0087 +2023/11/27 14:51:37 - mmengine - INFO - Iter(train) [ 26500/120000] base_lr: 1.7712e-04 lr: 1.7920e-05 eta: 1 day, 1:11:04 time: 0.9697 data_time: 0.0086 memory: 8148 grad_norm: 0.0398 loss: 0.0086 semantic_segmentation_loss_cls: 0.0086 +2023/11/27 14:59:41 - mmengine - INFO - Exp name: univision_single_semseg_base_20231127_072624 +2023/11/27 14:59:41 - mmengine - INFO - Iter(train) [ 27000/120000] base_lr: 1.7628e-04 lr: 1.7844e-05 eta: 1 day, 1:02:58 time: 0.9697 data_time: 0.0086 memory: 8148 grad_norm: 0.0399 loss: 0.0086 semantic_segmentation_loss_cls: 0.0086 +2023/11/27 15:07:46 - mmengine - INFO - Iter(train) [ 27500/120000] base_lr: 1.7543e-04 lr: 1.7767e-05 eta: 1 day, 0:54:54 time: 0.9699 data_time: 0.0086 memory: 8148 grad_norm: 0.0391 loss: 0.0085 semantic_segmentation_loss_cls: 0.0085 +2023/11/27 15:15:51 - mmengine - INFO - Exp name: univision_single_semseg_base_20231127_072624 +2023/11/27 15:15:51 - mmengine - INFO - Iter(train) [ 28000/120000] base_lr: 1.7457e-04 lr: 1.7688e-05 eta: 1 day, 0:46:48 time: 0.9698 data_time: 0.0086 memory: 8148 grad_norm: 0.0387 loss: 0.0085 semantic_segmentation_loss_cls: 0.0085 +2023/11/27 15:23:56 - mmengine - INFO - Iter(train) [ 28500/120000] base_lr: 1.7370e-04 lr: 1.7609e-05 eta: 1 day, 0:38:43 time: 0.9699 data_time: 0.0086 memory: 8148 grad_norm: 0.0385 loss: 0.0084 semantic_segmentation_loss_cls: 0.0084 +2023/11/27 15:32:00 - mmengine - INFO - Exp name: univision_single_semseg_base_20231127_072624 +2023/11/27 15:32:00 - mmengine - INFO - Iter(train) [ 29000/120000] base_lr: 1.7281e-04 lr: 1.7529e-05 eta: 1 day, 0:30:37 time: 0.9698 data_time: 0.0086 memory: 8148 grad_norm: 0.0383 loss: 0.0084 semantic_segmentation_loss_cls: 0.0084 +2023/11/27 15:40:05 - mmengine - INFO - Iter(train) [ 29500/120000] base_lr: 1.7192e-04 lr: 1.7447e-05 eta: 1 day, 0:22:32 time: 0.9694 data_time: 0.0081 memory: 8148 grad_norm: 0.0381 loss: 0.0083 semantic_segmentation_loss_cls: 0.0083 +2023/11/27 15:48:10 - mmengine - INFO - Exp name: univision_single_semseg_base_20231127_072624 +2023/11/27 15:48:10 - mmengine - INFO - Iter(train) [ 30000/120000] base_lr: 1.7101e-04 lr: 1.7364e-05 eta: 1 day, 0:14:27 time: 0.9693 data_time: 0.0082 memory: 8148 grad_norm: 0.0377 loss: 0.0082 semantic_segmentation_loss_cls: 0.0082 +2023/11/27 15:48:10 - mmengine - INFO - Saving checkpoint at 30000 iterations +2023/11/27 15:51:31 - mmengine - INFO - per class results: +2023/11/27 15:51:31 - mmengine - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 76.17 | 87.91 | +| building | 79.99 | 91.62 | +| sky | 93.08 | 97.69 | +| floor | 80.32 | 89.06 | +| tree | 71.72 | 87.19 | +| ceiling | 83.4 | 93.72 | +| road | 80.62 | 86.7 | +| bed | 86.01 | 94.98 | +| windowpane | 59.86 | 76.91 | +| grass | 64.23 | 75.29 | +| cabinet | 56.78 | 71.59 | +| sidewalk | 62.46 | 83.68 | +| person | 76.74 | 89.34 | +| earth | 35.41 | 46.92 | +| door | 47.16 | 63.74 | +| table | 57.71 | 75.74 | +| mountain | 51.57 | 65.67 | +| plant | 46.91 | 61.09 | +| curtain | 69.92 | 79.35 | +| chair | 54.5 | 69.32 | +| car | 80.64 | 89.51 | +| water | 53.52 | 65.85 | +| painting | 66.88 | 82.65 | +| sofa | 60.13 | 72.01 | +| shelf | 40.67 | 59.84 | +| house | 39.63 | 50.84 | +| sea | 53.61 | 85.42 | +| mirror | 64.09 | 77.06 | +| rug | 65.64 | 78.52 | +| field | 26.63 | 44.74 | +| armchair | 42.58 | 62.0 | +| seat | 55.49 | 72.65 | +| fence | 43.6 | 64.07 | +| desk | 41.76 | 69.71 | +| rock | 32.92 | 47.46 | +| wardrobe | 47.36 | 70.39 | +| lamp | 59.79 | 75.38 | +| bathtub | 77.68 | 80.09 | +| railing | 34.52 | 54.22 | +| cushion | 56.21 | 71.4 | +| base | 15.47 | 21.7 | +| box | 17.72 | 25.11 | +| column | 50.67 | 57.59 | +| signboard | 33.49 | 41.18 | +| chest of drawers | 40.54 | 60.72 | +| counter | 20.25 | 30.68 | +| sand | 44.21 | 66.6 | +| sink | 66.19 | 75.38 | +| skyscraper | 36.77 | 45.19 | +| fireplace | 69.01 | 83.51 | +| refrigerator | 64.47 | 69.01 | +| grandstand | 32.62 | 60.58 | +| path | 24.83 | 32.36 | +| stairs | 21.9 | 29.28 | +| runway | 72.99 | 83.98 | +| case | 47.24 | 66.23 | +| pool table | 84.84 | 96.19 | +| pillow | 51.3 | 64.92 | +| screen door | 65.76 | 68.08 | +| stairway | 28.23 | 34.63 | +| river | 14.63 | 32.69 | +| bridge | 21.32 | 23.0 | +| bookcase | 35.54 | 50.43 | +| blind | 42.76 | 46.87 | +| coffee table | 61.16 | 78.84 | +| toilet | 81.87 | 88.02 | +| flower | 35.42 | 51.82 | +| book | 38.82 | 56.38 | +| hill | 6.57 | 13.32 | +| bench | 40.89 | 55.9 | +| countertop | 49.99 | 58.71 | +| stove | 69.0 | 73.43 | +| palm | 48.32 | 70.38 | +| kitchen island | 40.07 | 51.57 | +| computer | 56.86 | 64.9 | +| swivel chair | 33.89 | 40.2 | +| boat | 62.6 | 75.81 | +| bar | 34.93 | 52.49 | +| arcade machine | 57.03 | 66.24 | +| hovel | 6.64 | 8.5 | +| bus | 63.24 | 67.47 | +| towel | 58.63 | 69.84 | +| light | 49.69 | 58.12 | +| truck | 28.96 | 42.17 | +| tower | 29.34 | 51.96 | +| chandelier | 65.22 | 78.6 | +| awning | 28.02 | 36.61 | +| streetlight | 29.74 | 38.91 | +| booth | 47.69 | 58.82 | +| television receiver | 65.25 | 76.17 | +| airplane | 54.3 | 62.19 | +| dirt track | 4.59 | 17.26 | +| apparel | 24.13 | 40.23 | +| pole | 26.63 | 39.91 | +| land | 1.63 | 1.84 | +| bannister | 9.12 | 13.92 | +| escalator | 6.13 | 6.21 | +| ottoman | 33.74 | 46.83 | +| bottle | 15.07 | 16.92 | +| buffet | 44.38 | 52.37 | +| poster | 26.77 | 32.41 | +| stage | 13.81 | 22.27 | +| van | 31.3 | 67.72 | +| ship | 49.26 | 51.3 | +| fountain | 23.8 | 26.81 | +| conveyer belt | 48.61 | 88.72 | +| canopy | 28.17 | 33.39 | +| washer | 64.66 | 66.18 | +| plaything | 23.42 | 30.78 | +| swimming pool | 44.85 | 72.52 | +| stool | 42.15 | 52.86 | +| barrel | 54.32 | 72.61 | +| basket | 23.93 | 34.47 | +| waterfall | 47.97 | 51.81 | +| tent | 71.18 | 98.16 | +| bag | 10.1 | 13.63 | +| minibike | 46.38 | 49.33 | +| cradle | 66.89 | 91.21 | +| oven | 43.13 | 59.89 | +| ball | 24.23 | 28.05 | +| food | 29.8 | 30.43 | +| step | 11.52 | 12.97 | +| tank | 21.8 | 22.68 | +| trade name | 25.23 | 28.72 | +| microwave | 34.45 | 37.11 | +| pot | 44.45 | 51.41 | +| animal | 50.16 | 55.68 | +| bicycle | 38.95 | 63.04 | +| lake | 0.0 | 0.0 | +| dishwasher | 52.81 | 54.29 | +| screen | 75.84 | 85.31 | +| blanket | 9.54 | 11.73 | +| sculpture | 49.43 | 78.15 | +| hood | 52.23 | 56.72 | +| sconce | 39.95 | 47.01 | +| vase | 30.02 | 46.86 | +| traffic light | 29.36 | 38.48 | +| tray | 7.14 | 10.14 | +| ashcan | 36.26 | 56.13 | +| fan | 54.46 | 68.03 | +| pier | 44.64 | 58.44 | +| crt screen | 8.41 | 26.44 | +| plate | 43.23 | 49.32 | +| monitor | 3.39 | 3.93 | +| bulletin board | 25.94 | 46.1 | +| shower | 1.15 | 2.4 | +| radiator | 42.96 | 47.38 | +| glass | 10.05 | 10.85 | +| clock | 17.62 | 23.6 | +| flag | 25.83 | 29.94 | ++---------------------+-------+-------+ +2023/11/27 15:51:31 - mmengine - INFO - Iter(val) [250/250] aAcc: 81.1600 mIoU: 43.2800 mAcc: 54.7200 data_time: 0.0019 time: 0.7642 +2023/11/27 15:59:36 - mmengine - INFO - Iter(train) [ 30500/120000] base_lr: 1.7008e-04 lr: 1.7280e-05 eta: 1 day, 0:06:24 time: 0.9696 data_time: 0.0084 memory: 8148 grad_norm: 0.0374 loss: 0.0082 semantic_segmentation_loss_cls: 0.0082 +2023/11/27 16:07:41 - mmengine - INFO - Exp name: univision_single_semseg_base_20231127_072624 +2023/11/27 16:07:41 - mmengine - INFO - Iter(train) [ 31000/120000] base_lr: 1.6915e-04 lr: 1.7195e-05 eta: 23:58:20 time: 0.9697 data_time: 0.0084 memory: 8148 grad_norm: 0.0369 loss: 0.0081 semantic_segmentation_loss_cls: 0.0081 +2023/11/27 16:15:45 - mmengine - INFO - Iter(train) [ 31500/120000] base_lr: 1.6820e-04 lr: 1.7109e-05 eta: 23:50:14 time: 0.9696 data_time: 0.0084 memory: 8148 grad_norm: 0.0368 loss: 0.0080 semantic_segmentation_loss_cls: 0.0080 +2023/11/27 16:23:50 - mmengine - INFO - Exp name: univision_single_semseg_base_20231127_072624 +2023/11/27 16:23:50 - mmengine - INFO - Iter(train) [ 32000/120000] base_lr: 1.6725e-04 lr: 1.7022e-05 eta: 23:42:09 time: 0.9697 data_time: 0.0084 memory: 8148 grad_norm: 0.0364 loss: 0.0079 semantic_segmentation_loss_cls: 0.0079 +2023/11/27 16:31:55 - mmengine - INFO - Iter(train) [ 32500/120000] base_lr: 1.6628e-04 lr: 1.6934e-05 eta: 23:34:04 time: 0.9696 data_time: 0.0084 memory: 8148 grad_norm: 0.0358 loss: 0.0079 semantic_segmentation_loss_cls: 0.0079 +2023/11/27 16:40:00 - mmengine - INFO - Exp name: univision_single_semseg_base_20231127_072624 +2023/11/27 16:40:00 - mmengine - INFO - Iter(train) [ 33000/120000] base_lr: 1.6530e-04 lr: 1.6845e-05 eta: 23:25:59 time: 0.9697 data_time: 0.0084 memory: 8148 grad_norm: 0.0357 loss: 0.0078 semantic_segmentation_loss_cls: 0.0078 +2023/11/27 16:48:04 - mmengine - INFO - Iter(train) [ 33500/120000] base_lr: 1.6431e-04 lr: 1.6755e-05 eta: 23:17:54 time: 0.9697 data_time: 0.0084 memory: 8148 grad_norm: 0.0352 loss: 0.0078 semantic_segmentation_loss_cls: 0.0078 +2023/11/27 16:56:09 - mmengine - INFO - Exp name: univision_single_semseg_base_20231127_072624 +2023/11/27 16:56:09 - mmengine - INFO - Iter(train) [ 34000/120000] base_lr: 1.6330e-04 lr: 1.6664e-05 eta: 23:09:48 time: 0.9696 data_time: 0.0084 memory: 8148 grad_norm: 0.0350 loss: 0.0078 semantic_segmentation_loss_cls: 0.0078 +2023/11/27 17:04:14 - mmengine - INFO - Iter(train) [ 34500/120000] base_lr: 1.6229e-04 lr: 1.6572e-05 eta: 23:01:44 time: 0.9695 data_time: 0.0082 memory: 8148 grad_norm: 0.0349 loss: 0.0078 semantic_segmentation_loss_cls: 0.0078 +2023/11/27 17:12:18 - mmengine - INFO - Exp name: univision_single_semseg_base_20231127_072624 +2023/11/27 17:12:18 - mmengine - INFO - Iter(train) [ 35000/120000] base_lr: 1.6127e-04 lr: 1.6479e-05 eta: 22:53:39 time: 0.9694 data_time: 0.0082 memory: 8148 grad_norm: 0.0344 loss: 0.0077 semantic_segmentation_loss_cls: 0.0077 +2023/11/27 17:15:32 - mmengine - INFO - per class results: +2023/11/27 17:15:32 - mmengine - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 76.1 | 88.86 | +| building | 81.96 | 91.25 | +| sky | 92.98 | 97.89 | +| floor | 79.91 | 89.1 | +| tree | 72.17 | 86.15 | +| ceiling | 83.28 | 92.74 | +| road | 80.79 | 88.87 | +| bed | 86.94 | 92.9 | +| windowpane | 60.1 | 75.61 | +| grass | 68.54 | 83.42 | +| cabinet | 59.73 | 74.69 | +| sidewalk | 63.1 | 80.7 | +| person | 76.88 | 88.72 | +| earth | 39.48 | 50.79 | +| door | 47.59 | 63.54 | +| table | 58.88 | 72.11 | +| mountain | 53.78 | 71.02 | +| plant | 51.11 | 65.82 | +| curtain | 72.11 | 84.7 | +| chair | 55.41 | 70.02 | +| car | 80.34 | 90.6 | +| water | 46.7 | 62.37 | +| painting | 70.67 | 84.36 | +| sofa | 63.61 | 81.32 | +| shelf | 40.17 | 57.89 | +| house | 44.08 | 62.42 | +| sea | 40.39 | 62.65 | +| mirror | 63.0 | 76.13 | +| rug | 61.66 | 69.01 | +| field | 25.39 | 42.59 | +| armchair | 42.33 | 59.46 | +| seat | 62.4 | 80.02 | +| fence | 41.01 | 53.65 | +| desk | 38.83 | 74.29 | +| rock | 26.34 | 37.11 | +| wardrobe | 47.4 | 55.58 | +| lamp | 56.66 | 67.21 | +| bathtub | 75.65 | 90.84 | +| railing | 33.4 | 44.38 | +| cushion | 53.87 | 65.93 | +| base | 18.16 | 25.65 | +| box | 19.81 | 29.66 | +| column | 45.73 | 55.49 | +| signboard | 32.91 | 41.38 | +| chest of drawers | 32.33 | 46.02 | +| counter | 23.32 | 34.02 | +| sand | 46.29 | 61.95 | +| sink | 65.56 | 75.86 | +| skyscraper | 49.34 | 59.54 | +| fireplace | 71.18 | 91.98 | +| refrigerator | 71.04 | 82.45 | +| grandstand | 41.04 | 65.07 | +| path | 18.4 | 24.94 | +| stairs | 29.33 | 46.82 | +| runway | 67.64 | 86.98 | +| case | 31.0 | 34.97 | +| pool table | 91.56 | 96.03 | +| pillow | 56.49 | 75.36 | +| screen door | 66.02 | 84.44 | +| stairway | 18.34 | 19.5 | +| river | 14.07 | 32.99 | +| bridge | 66.45 | 81.38 | +| bookcase | 33.17 | 59.38 | +| blind | 39.64 | 43.55 | +| coffee table | 63.85 | 76.74 | +| toilet | 81.53 | 87.26 | +| flower | 34.8 | 52.11 | +| book | 44.04 | 66.1 | +| hill | 9.36 | 16.78 | +| bench | 38.72 | 45.63 | +| countertop | 52.87 | 62.12 | +| stove | 73.83 | 78.41 | +| palm | 44.46 | 67.38 | +| kitchen island | 41.07 | 59.81 | +| computer | 53.7 | 62.59 | +| swivel chair | 44.31 | 61.17 | +| boat | 40.74 | 43.03 | +| bar | 15.12 | 18.1 | +| arcade machine | 61.03 | 66.93 | +| hovel | 8.27 | 9.31 | +| bus | 78.33 | 89.19 | +| towel | 56.26 | 70.63 | +| light | 46.8 | 62.49 | +| truck | 28.82 | 43.87 | +| tower | 39.52 | 51.8 | +| chandelier | 50.8 | 54.62 | +| awning | 24.1 | 34.26 | +| streetlight | 25.14 | 31.58 | +| booth | 30.21 | 36.75 | +| television receiver | 68.11 | 83.09 | +| airplane | 55.2 | 61.97 | +| dirt track | 3.67 | 10.67 | +| apparel | 30.03 | 44.85 | +| pole | 23.96 | 34.73 | +| land | 1.46 | 1.74 | +| bannister | 15.42 | 21.89 | +| escalator | 19.13 | 20.94 | +| ottoman | 30.6 | 37.14 | +| bottle | 22.87 | 32.94 | +| buffet | 44.64 | 50.1 | +| poster | 29.47 | 36.13 | +| stage | 13.78 | 26.73 | +| van | 22.95 | 26.04 | +| ship | 64.25 | 88.91 | +| fountain | 11.61 | 12.35 | +| conveyer belt | 59.13 | 86.76 | +| canopy | 12.62 | 15.96 | +| washer | 60.08 | 70.93 | +| plaything | 15.0 | 19.74 | +| swimming pool | 34.87 | 39.69 | +| stool | 36.48 | 49.19 | +| barrel | 44.71 | 54.07 | +| basket | 26.51 | 38.67 | +| waterfall | 65.06 | 69.63 | +| tent | 91.9 | 96.84 | +| bag | 8.95 | 13.14 | +| minibike | 59.62 | 79.77 | +| cradle | 75.65 | 96.93 | +| oven | 51.64 | 67.37 | +| ball | 37.49 | 50.6 | +| food | 57.95 | 68.93 | +| step | 9.41 | 12.0 | +| tank | 36.58 | 37.69 | +| trade name | 20.71 | 26.15 | +| microwave | 36.36 | 39.7 | +| pot | 48.34 | 55.69 | +| animal | 44.91 | 46.43 | +| bicycle | 50.45 | 64.76 | +| lake | 42.11 | 42.24 | +| dishwasher | 65.75 | 71.86 | +| screen | 76.87 | 85.9 | +| blanket | 13.74 | 20.54 | +| sculpture | 54.03 | 78.13 | +| hood | 58.52 | 64.97 | +| sconce | 33.22 | 38.01 | +| vase | 32.57 | 52.84 | +| traffic light | 27.32 | 53.07 | +| tray | 7.84 | 11.56 | +| ashcan | 38.35 | 55.2 | +| fan | 57.41 | 70.97 | +| pier | 42.05 | 46.34 | +| crt screen | 12.55 | 33.71 | +| plate | 46.29 | 50.72 | +| monitor | 8.62 | 9.89 | +| bulletin board | 36.45 | 58.03 | +| shower | 2.34 | 6.28 | +| radiator | 47.06 | 54.11 | +| glass | 12.79 | 14.58 | +| clock | 19.92 | 29.93 | +| flag | 28.56 | 32.4 | ++---------------------+-------+-------+ +2023/11/27 17:15:32 - mmengine - INFO - Iter(val) [250/250] aAcc: 81.6400 mIoU: 44.7800 mAcc: 56.0200 data_time: 0.0018 time: 0.7639 +2023/11/27 17:23:37 - mmengine - INFO - Iter(train) [ 35500/120000] base_lr: 1.6024e-04 lr: 1.6385e-05 eta: 22:45:41 time: 0.9702 data_time: 0.0089 memory: 8148 grad_norm: 0.0342 loss: 0.0077 semantic_segmentation_loss_cls: 0.0077 +2023/11/27 17:31:41 - mmengine - INFO - Exp name: univision_single_semseg_base_20231127_072624 +2023/11/27 17:31:41 - mmengine - INFO - Iter(train) [ 36000/120000] base_lr: 1.5919e-04 lr: 1.6290e-05 eta: 22:37:34 time: 0.9701 data_time: 0.0089 memory: 8148 grad_norm: 0.0338 loss: 0.0077 semantic_segmentation_loss_cls: 0.0077 +2023/11/27 17:39:46 - mmengine - INFO - Iter(train) [ 36500/120000] base_lr: 1.5814e-04 lr: 1.6194e-05 eta: 22:29:30 time: 0.9702 data_time: 0.0089 memory: 8148 grad_norm: 0.0336 loss: 0.0076 semantic_segmentation_loss_cls: 0.0076 +2023/11/27 17:47:51 - mmengine - INFO - Exp name: univision_single_semseg_base_20231127_072624 +2023/11/27 17:47:51 - mmengine - INFO - Iter(train) [ 37000/120000] base_lr: 1.5708e-04 lr: 1.6098e-05 eta: 22:21:24 time: 0.9701 data_time: 0.0089 memory: 8148 grad_norm: 0.0334 loss: 0.0076 semantic_segmentation_loss_cls: 0.0076 +2023/11/27 17:55:56 - mmengine - INFO - Iter(train) [ 37500/120000] base_lr: 1.5600e-04 lr: 1.6000e-05 eta: 22:13:19 time: 0.9700 data_time: 0.0089 memory: 8148 grad_norm: 0.0330 loss: 0.0075 semantic_segmentation_loss_cls: 0.0075 +2023/11/27 18:04:01 - mmengine - INFO - Exp name: univision_single_semseg_base_20231127_072624 +2023/11/27 18:04:01 - mmengine - INFO - Iter(train) [ 38000/120000] base_lr: 1.5492e-04 lr: 1.5902e-05 eta: 22:05:15 time: 0.9702 data_time: 0.0089 memory: 8148 grad_norm: 0.0326 loss: 0.0075 semantic_segmentation_loss_cls: 0.0075 +2023/11/27 18:12:06 - mmengine - INFO - Iter(train) [ 38500/120000] base_lr: 1.5383e-04 lr: 1.5803e-05 eta: 21:57:09 time: 0.9701 data_time: 0.0089 memory: 8148 grad_norm: 0.0323 loss: 0.0074 semantic_segmentation_loss_cls: 0.0074 +2023/11/27 18:20:10 - mmengine - INFO - Exp name: univision_single_semseg_base_20231127_072624 +2023/11/27 18:20:10 - mmengine - INFO - Iter(train) [ 39000/120000] base_lr: 1.5273e-04 lr: 1.5703e-05 eta: 21:49:05 time: 0.9702 data_time: 0.0089 memory: 8148 grad_norm: 0.0322 loss: 0.0074 semantic_segmentation_loss_cls: 0.0074 +2023/11/27 18:28:15 - mmengine - INFO - Iter(train) [ 39500/120000] base_lr: 1.5162e-04 lr: 1.5602e-05 eta: 21:40:59 time: 0.9694 data_time: 0.0082 memory: 8148 grad_norm: 0.0322 loss: 0.0074 semantic_segmentation_loss_cls: 0.0074 +2023/11/27 18:36:20 - mmengine - INFO - Exp name: univision_single_semseg_base_20231127_072624 +2023/11/27 18:36:20 - mmengine - INFO - Iter(train) [ 40000/120000] base_lr: 1.5050e-04 lr: 1.5500e-05 eta: 21:32:53 time: 0.9694 data_time: 0.0082 memory: 8148 grad_norm: 0.0324 loss: 0.0073 semantic_segmentation_loss_cls: 0.0073 +2023/11/27 18:36:20 - mmengine - INFO - Saving checkpoint at 40000 iterations +2023/11/27 18:39:41 - mmengine - INFO - per class results: +2023/11/27 18:39:41 - mmengine - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 75.77 | 89.21 | +| building | 79.72 | 90.4 | +| sky | 93.04 | 97.9 | +| floor | 80.04 | 89.41 | +| tree | 70.43 | 83.09 | +| ceiling | 82.85 | 92.91 | +| road | 82.38 | 89.75 | +| bed | 87.18 | 92.59 | +| windowpane | 59.15 | 77.02 | +| grass | 61.43 | 70.8 | +| cabinet | 58.0 | 71.11 | +| sidewalk | 65.25 | 78.73 | +| person | 78.08 | 90.37 | +| earth | 32.44 | 39.55 | +| door | 50.35 | 65.13 | +| table | 58.57 | 75.31 | +| mountain | 52.68 | 72.32 | +| plant | 45.77 | 61.79 | +| curtain | 71.19 | 81.13 | +| chair | 54.79 | 70.01 | +| car | 81.18 | 89.07 | +| water | 48.05 | 62.86 | +| painting | 68.33 | 83.92 | +| sofa | 58.85 | 66.88 | +| shelf | 40.0 | 61.3 | +| house | 34.69 | 44.29 | +| sea | 48.01 | 81.41 | +| mirror | 63.33 | 72.86 | +| rug | 62.5 | 72.75 | +| field | 27.4 | 59.97 | +| armchair | 43.27 | 72.45 | +| seat | 61.51 | 80.74 | +| fence | 38.09 | 58.8 | +| desk | 44.37 | 63.84 | +| rock | 34.34 | 43.21 | +| wardrobe | 46.33 | 67.41 | +| lamp | 60.77 | 69.39 | +| bathtub | 76.74 | 81.15 | +| railing | 31.33 | 47.72 | +| cushion | 57.21 | 71.48 | +| base | 23.59 | 33.45 | +| box | 19.43 | 24.98 | +| column | 43.88 | 66.2 | +| signboard | 33.78 | 51.66 | +| chest of drawers | 36.78 | 45.8 | +| counter | 18.74 | 22.31 | +| sand | 42.67 | 67.77 | +| sink | 68.25 | 77.23 | +| skyscraper | 39.45 | 46.97 | +| fireplace | 70.0 | 84.67 | +| refrigerator | 64.7 | 71.01 | +| grandstand | 29.01 | 68.87 | +| path | 18.88 | 30.09 | +| stairs | 22.56 | 29.63 | +| runway | 66.08 | 80.89 | +| case | 44.74 | 55.29 | +| pool table | 88.69 | 95.22 | +| pillow | 52.68 | 69.98 | +| screen door | 67.49 | 73.4 | +| stairway | 31.83 | 40.63 | +| river | 16.22 | 27.54 | +| bridge | 34.29 | 42.43 | +| bookcase | 32.29 | 72.97 | +| blind | 38.58 | 43.6 | +| coffee table | 65.15 | 80.75 | +| toilet | 82.24 | 86.89 | +| flower | 34.67 | 53.5 | +| book | 38.28 | 59.06 | +| hill | 4.0 | 6.15 | +| bench | 45.0 | 58.06 | +| countertop | 48.01 | 65.25 | +| stove | 67.83 | 72.25 | +| palm | 43.94 | 60.07 | +| kitchen island | 32.65 | 38.65 | +| computer | 56.49 | 67.26 | +| swivel chair | 44.9 | 66.23 | +| boat | 44.79 | 48.21 | +| bar | 11.92 | 13.29 | +| arcade machine | 53.73 | 57.32 | +| hovel | 7.92 | 10.44 | +| bus | 83.62 | 94.85 | +| towel | 60.44 | 68.45 | +| light | 50.71 | 62.12 | +| truck | 22.05 | 30.68 | +| tower | 28.0 | 41.91 | +| chandelier | 62.92 | 78.65 | +| awning | 23.72 | 26.05 | +| streetlight | 30.59 | 52.7 | +| booth | 32.43 | 33.34 | +| television receiver | 55.52 | 80.59 | +| airplane | 51.18 | 62.86 | +| dirt track | 1.48 | 2.3 | +| apparel | 30.09 | 38.75 | +| pole | 17.96 | 22.84 | +| land | 3.19 | 4.16 | +| bannister | 11.66 | 19.5 | +| escalator | 24.8 | 29.5 | +| ottoman | 43.2 | 64.02 | +| bottle | 18.88 | 25.13 | +| buffet | 41.5 | 47.95 | +| poster | 33.85 | 44.04 | +| stage | 12.67 | 19.91 | +| van | 41.67 | 59.64 | +| ship | 54.17 | 75.26 | +| fountain | 6.86 | 7.32 | +| conveyer belt | 37.92 | 91.43 | +| canopy | 19.1 | 21.3 | +| washer | 68.64 | 70.72 | +| plaything | 25.03 | 42.16 | +| swimming pool | 48.11 | 74.17 | +| stool | 41.99 | 58.99 | +| barrel | 20.93 | 71.91 | +| basket | 28.12 | 39.79 | +| waterfall | 46.92 | 58.57 | +| tent | 83.47 | 98.87 | +| bag | 10.6 | 11.99 | +| minibike | 59.49 | 74.11 | +| cradle | 71.26 | 85.52 | +| oven | 46.37 | 52.68 | +| ball | 36.14 | 42.1 | +| food | 57.88 | 76.3 | +| step | 20.46 | 26.17 | +| tank | 33.8 | 36.4 | +| trade name | 26.91 | 31.78 | +| microwave | 37.84 | 40.74 | +| pot | 50.37 | 56.83 | +| animal | 49.67 | 54.61 | +| bicycle | 46.56 | 78.46 | +| lake | 55.87 | 61.87 | +| dishwasher | 64.25 | 74.84 | +| screen | 67.86 | 88.32 | +| blanket | 16.95 | 18.67 | +| sculpture | 54.22 | 75.59 | +| hood | 61.53 | 67.31 | +| sconce | 44.86 | 64.71 | +| vase | 32.63 | 61.73 | +| traffic light | 31.36 | 51.08 | +| tray | 3.81 | 4.63 | +| ashcan | 35.85 | 48.17 | +| fan | 58.89 | 68.32 | +| pier | 59.59 | 71.92 | +| crt screen | 8.28 | 13.26 | +| plate | 46.38 | 58.45 | +| monitor | 23.6 | 27.16 | +| bulletin board | 34.35 | 42.88 | +| shower | 2.33 | 7.57 | +| radiator | 42.04 | 45.39 | +| glass | 12.98 | 14.5 | +| clock | 17.33 | 23.05 | +| flag | 28.25 | 31.17 | ++---------------------+-------+-------+ +2023/11/27 18:39:41 - mmengine - INFO - Iter(val) [250/250] aAcc: 81.0800 mIoU: 44.4400 mAcc: 56.7000 data_time: 0.0020 time: 0.7641 +2023/11/27 20:58:35 - mmengine - INFO - Iter(train) [ 40500/120000] base_lr: 1.4938e-04 lr: 1.5398e-05 eta: 21:13:56 time: 0.9684 data_time: 0.0081 memory: 8153 grad_norm: 0.0323 loss: 0.0073 semantic_segmentation_loss_cls: 0.0073 +2023/11/27 21:06:37 - mmengine - INFO - Exp name: univision_single_semseg_base_20231127_204948 +2023/11/27 21:06:37 - mmengine - INFO - Iter(train) [ 41000/120000] base_lr: 1.4824e-04 lr: 1.5295e-05 eta: 21:06:55 time: 0.9676 data_time: 0.0080 memory: 8153 grad_norm: 0.0319 loss: 0.0072 semantic_segmentation_loss_cls: 0.0072 +2023/11/27 21:14:40 - mmengine - INFO - Iter(train) [ 41500/120000] base_lr: 1.4710e-04 lr: 1.5191e-05 eta: 21:00:36 time: 0.9672 data_time: 0.0079 memory: 8153 grad_norm: 0.0318 loss: 0.0072 semantic_segmentation_loss_cls: 0.0072 +2023/11/27 21:22:43 - mmengine - INFO - Exp name: univision_single_semseg_base_20231127_204948 +2023/11/27 21:22:43 - mmengine - INFO - Iter(train) [ 42000/120000] base_lr: 1.4595e-04 lr: 1.5086e-05 eta: 20:53:23 time: 0.9667 data_time: 0.0078 memory: 8153 grad_norm: 0.0318 loss: 0.0072 semantic_segmentation_loss_cls: 0.0072 +2023/11/27 21:30:46 - mmengine - INFO - Iter(train) [ 42500/120000] base_lr: 1.4479e-04 lr: 1.4981e-05 eta: 20:45:55 time: 0.9663 data_time: 0.0077 memory: 8153 grad_norm: 0.0316 loss: 0.0071 semantic_segmentation_loss_cls: 0.0071 +2023/11/27 21:38:50 - mmengine - INFO - Exp name: univision_single_semseg_base_20231127_204948 +2023/11/27 21:38:50 - mmengine - INFO - Iter(train) [ 43000/120000] base_lr: 1.4362e-04 lr: 1.4875e-05 eta: 20:38:24 time: 0.9660 data_time: 0.0076 memory: 8153 grad_norm: 0.0311 loss: 0.0070 semantic_segmentation_loss_cls: 0.0070 +2023/11/27 21:46:53 - mmengine - INFO - Iter(train) [ 43500/120000] base_lr: 1.4245e-04 lr: 1.4768e-05 eta: 20:30:42 time: 0.9657 data_time: 0.0075 memory: 8153 grad_norm: 0.0304 loss: 0.0070 semantic_segmentation_loss_cls: 0.0070 +2023/11/27 21:54:57 - mmengine - INFO - Exp name: univision_single_semseg_base_20231127_204948 +2023/11/27 21:54:57 - mmengine - INFO - Iter(train) [ 44000/120000] base_lr: 1.4127e-04 lr: 1.4661e-05 eta: 20:22:58 time: 0.9655 data_time: 0.0074 memory: 8153 grad_norm: 0.0299 loss: 0.0070 semantic_segmentation_loss_cls: 0.0070 +2023/11/27 22:03:00 - mmengine - INFO - Iter(train) [ 44500/120000] base_lr: 1.4008e-04 lr: 1.4553e-05 eta: 20:15:04 time: 0.9661 data_time: 0.0074 memory: 8153 grad_norm: 0.0296 loss: 0.0069 semantic_segmentation_loss_cls: 0.0069 +2023/11/27 22:11:04 - mmengine - INFO - Exp name: univision_single_semseg_base_20231127_204948 +2023/11/27 22:11:04 - mmengine - INFO - Iter(train) [ 45000/120000] base_lr: 1.3889e-04 lr: 1.4444e-05 eta: 20:07:10 time: 0.9666 data_time: 0.0074 memory: 8153 grad_norm: 0.0296 loss: 0.0069 semantic_segmentation_loss_cls: 0.0069 +2023/11/27 22:14:18 - mmengine - INFO - per class results: +2023/11/27 22:14:18 - mmengine - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 76.71 | 88.51 | +| building | 81.45 | 91.77 | +| sky | 93.23 | 98.25 | +| floor | 79.56 | 90.9 | +| tree | 71.87 | 85.52 | +| ceiling | 82.8 | 93.69 | +| road | 81.39 | 87.29 | +| bed | 87.53 | 94.86 | +| windowpane | 61.44 | 76.67 | +| grass | 64.49 | 73.84 | +| cabinet | 57.79 | 69.32 | +| sidewalk | 65.83 | 81.18 | +| person | 77.36 | 91.12 | +| earth | 37.61 | 60.48 | +| door | 49.0 | 61.5 | +| table | 57.97 | 70.71 | +| mountain | 54.54 | 66.74 | +| plant | 47.14 | 53.39 | +| curtain | 72.62 | 83.81 | +| chair | 57.21 | 72.27 | +| car | 80.48 | 88.77 | +| water | 54.69 | 72.72 | +| painting | 69.6 | 85.44 | +| sofa | 60.66 | 80.32 | +| shelf | 44.37 | 62.61 | +| house | 50.26 | 72.94 | +| sea | 53.32 | 72.95 | +| mirror | 66.48 | 76.86 | +| rug | 63.97 | 75.75 | +| field | 33.26 | 58.9 | +| armchair | 35.9 | 47.7 | +| seat | 63.77 | 72.22 | +| fence | 38.01 | 48.17 | +| desk | 46.33 | 77.45 | +| rock | 36.88 | 53.24 | +| wardrobe | 50.04 | 71.25 | +| lamp | 59.38 | 71.94 | +| bathtub | 74.92 | 79.88 | +| railing | 32.85 | 46.21 | +| cushion | 50.3 | 57.8 | +| base | 16.35 | 20.53 | +| box | 20.19 | 25.92 | +| column | 49.19 | 60.29 | +| signboard | 34.02 | 45.63 | +| chest of drawers | 43.52 | 73.47 | +| counter | 24.73 | 35.31 | +| sand | 40.65 | 51.61 | +| sink | 69.77 | 78.85 | +| skyscraper | 45.86 | 54.1 | +| fireplace | 72.2 | 88.42 | +| refrigerator | 70.9 | 86.07 | +| grandstand | 33.77 | 72.01 | +| path | 24.31 | 39.58 | +| stairs | 26.42 | 31.87 | +| runway | 60.98 | 66.97 | +| case | 43.02 | 61.63 | +| pool table | 91.15 | 94.9 | +| pillow | 53.36 | 71.94 | +| screen door | 53.35 | 56.84 | +| stairway | 32.53 | 42.18 | +| river | 12.95 | 24.24 | +| bridge | 33.22 | 44.58 | +| bookcase | 39.38 | 62.69 | +| blind | 42.59 | 48.69 | +| coffee table | 52.88 | 84.25 | +| toilet | 83.18 | 86.48 | +| flower | 35.6 | 55.33 | +| book | 45.87 | 59.49 | +| hill | 7.02 | 18.16 | +| bench | 43.42 | 47.0 | +| countertop | 50.82 | 63.52 | +| stove | 74.57 | 81.75 | +| palm | 44.86 | 58.77 | +| kitchen island | 46.44 | 75.39 | +| computer | 61.43 | 70.65 | +| swivel chair | 46.01 | 60.77 | +| boat | 58.02 | 62.4 | +| bar | 23.16 | 25.42 | +| arcade machine | 47.25 | 48.27 | +| hovel | 14.69 | 20.55 | +| bus | 85.34 | 89.31 | +| towel | 60.64 | 70.3 | +| light | 49.04 | 58.88 | +| truck | 28.0 | 34.88 | +| tower | 34.02 | 54.39 | +| chandelier | 64.06 | 79.28 | +| awning | 24.96 | 27.28 | +| streetlight | 29.22 | 37.63 | +| booth | 43.31 | 51.47 | +| television receiver | 57.09 | 79.7 | +| airplane | 55.64 | 63.11 | +| dirt track | 10.23 | 25.99 | +| apparel | 32.89 | 44.51 | +| pole | 23.37 | 30.58 | +| land | 0.21 | 0.25 | +| bannister | 9.19 | 15.0 | +| escalator | 4.13 | 4.26 | +| ottoman | 35.78 | 68.58 | +| bottle | 21.33 | 28.33 | +| buffet | 46.07 | 56.23 | +| poster | 24.02 | 28.82 | +| stage | 15.57 | 20.06 | +| van | 33.86 | 49.92 | +| ship | 15.21 | 16.5 | +| fountain | 1.54 | 1.56 | +| conveyer belt | 46.33 | 82.93 | +| canopy | 16.42 | 18.3 | +| washer | 68.52 | 71.74 | +| plaything | 26.39 | 37.44 | +| swimming pool | 22.41 | 22.5 | +| stool | 43.39 | 60.94 | +| barrel | 62.66 | 72.66 | +| basket | 25.16 | 37.5 | +| waterfall | 47.85 | 60.51 | +| tent | 91.21 | 96.81 | +| bag | 8.93 | 10.32 | +| minibike | 51.01 | 53.23 | +| cradle | 67.94 | 96.76 | +| oven | 56.75 | 69.3 | +| ball | 38.59 | 44.6 | +| food | 46.34 | 55.26 | +| step | 9.33 | 9.83 | +| tank | 45.45 | 49.43 | +| trade name | 17.74 | 19.97 | +| microwave | 36.99 | 40.46 | +| pot | 36.68 | 40.48 | +| animal | 52.96 | 57.95 | +| bicycle | 43.63 | 67.6 | +| lake | 60.05 | 62.15 | +| dishwasher | 67.51 | 74.74 | +| screen | 52.65 | 88.91 | +| blanket | 15.4 | 18.93 | +| sculpture | 61.45 | 75.72 | +| hood | 61.99 | 74.99 | +| sconce | 39.14 | 44.73 | +| vase | 31.02 | 44.22 | +| traffic light | 31.21 | 49.41 | +| tray | 10.52 | 14.02 | +| ashcan | 39.29 | 52.24 | +| fan | 57.03 | 64.62 | +| pier | 39.94 | 58.93 | +| crt screen | 6.25 | 18.16 | +| plate | 46.45 | 60.27 | +| monitor | 5.26 | 5.88 | +| bulletin board | 33.47 | 66.56 | +| shower | 1.37 | 7.65 | +| radiator | 39.53 | 46.75 | +| glass | 11.53 | 12.49 | +| clock | 20.82 | 27.96 | +| flag | 29.81 | 37.12 | ++---------------------+-------+-------+ +2023/11/27 22:14:18 - mmengine - INFO - Iter(val) [250/250] aAcc: 81.7900 mIoU: 44.8100 mAcc: 56.2800 data_time: 0.0048 time: 0.7680 +2023/11/27 22:22:21 - mmengine - INFO - Iter(train) [ 45500/120000] base_lr: 1.3769e-04 lr: 1.4335e-05 eta: 19:59:45 time: 0.9673 data_time: 0.0080 memory: 8153 grad_norm: 0.0293 loss: 0.0069 semantic_segmentation_loss_cls: 0.0069 +2023/11/27 22:30:25 - mmengine - INFO - Exp name: univision_single_semseg_base_20231127_204948 +2023/11/27 22:30:25 - mmengine - INFO - Iter(train) [ 46000/120000] base_lr: 1.3648e-04 lr: 1.4226e-05 eta: 19:51:42 time: 0.9673 data_time: 0.0080 memory: 8153 grad_norm: 0.0288 loss: 0.0068 semantic_segmentation_loss_cls: 0.0068 +2023/11/27 22:38:28 - mmengine - INFO - Iter(train) [ 46500/120000] base_lr: 1.3527e-04 lr: 1.4115e-05 eta: 19:43:44 time: 0.9674 data_time: 0.0079 memory: 8153 grad_norm: 0.0286 loss: 0.0068 semantic_segmentation_loss_cls: 0.0068 +2023/11/27 22:46:32 - mmengine - INFO - Exp name: univision_single_semseg_base_20231127_204948 +2023/11/27 22:46:32 - mmengine - INFO - Iter(train) [ 47000/120000] base_lr: 1.3405e-04 lr: 1.4004e-05 eta: 19:35:47 time: 0.9675 data_time: 0.0080 memory: 8153 grad_norm: 0.0286 loss: 0.0068 semantic_segmentation_loss_cls: 0.0068 +2023/11/27 22:54:36 - mmengine - INFO - Iter(train) [ 47500/120000] base_lr: 1.3282e-04 lr: 1.3893e-05 eta: 19:27:51 time: 0.9676 data_time: 0.0079 memory: 8153 grad_norm: 0.0282 loss: 0.0067 semantic_segmentation_loss_cls: 0.0067 +2023/11/27 23:02:40 - mmengine - INFO - Exp name: univision_single_semseg_base_20231127_204948 +2023/11/27 23:02:40 - mmengine - INFO - Iter(train) [ 48000/120000] base_lr: 1.3160e-04 lr: 1.3781e-05 eta: 19:19:52 time: 0.9676 data_time: 0.0079 memory: 8153 grad_norm: 0.0279 loss: 0.0067 semantic_segmentation_loss_cls: 0.0067 +2023/11/27 23:10:44 - mmengine - INFO - Iter(train) [ 48500/120000] base_lr: 1.3036e-04 lr: 1.3669e-05 eta: 19:11:55 time: 0.9678 data_time: 0.0079 memory: 8153 grad_norm: 0.0277 loss: 0.0066 semantic_segmentation_loss_cls: 0.0066 +2023/11/27 23:18:48 - mmengine - INFO - Exp name: univision_single_semseg_base_20231127_204948 +2023/11/27 23:18:48 - mmengine - INFO - Iter(train) [ 49000/120000] base_lr: 1.2912e-04 lr: 1.3556e-05 eta: 19:03:55 time: 0.9679 data_time: 0.0079 memory: 8153 grad_norm: 0.0275 loss: 0.0066 semantic_segmentation_loss_cls: 0.0066 +2023/11/27 23:26:51 - mmengine - INFO - Iter(train) [ 49500/120000] base_lr: 1.2788e-04 lr: 1.3443e-05 eta: 18:55:53 time: 0.9674 data_time: 0.0073 memory: 8153 grad_norm: 0.0272 loss: 0.0066 semantic_segmentation_loss_cls: 0.0066 +2023/11/27 23:34:55 - mmengine - INFO - Exp name: univision_single_semseg_base_20231127_204948 +2023/11/27 23:34:55 - mmengine - INFO - Iter(train) [ 50000/120000] base_lr: 1.2663e-04 lr: 1.3330e-05 eta: 18:47:54 time: 0.9675 data_time: 0.0073 memory: 8153 grad_norm: 0.0273 loss: 0.0066 semantic_segmentation_loss_cls: 0.0066 +2023/11/27 23:34:55 - mmengine - INFO - Saving checkpoint at 50000 iterations +2023/11/27 23:38:17 - mmengine - INFO - per class results: +2023/11/27 23:38:17 - mmengine - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 75.52 | 89.22 | +| building | 81.02 | 91.83 | +| sky | 93.25 | 97.68 | +| floor | 79.77 | 90.57 | +| tree | 73.25 | 85.53 | +| ceiling | 82.65 | 94.72 | +| road | 83.85 | 89.95 | +| bed | 86.31 | 94.44 | +| windowpane | 60.03 | 74.26 | +| grass | 66.14 | 83.11 | +| cabinet | 57.49 | 67.82 | +| sidewalk | 64.39 | 81.2 | +| person | 78.17 | 89.74 | +| earth | 39.03 | 52.77 | +| door | 48.67 | 63.05 | +| table | 58.71 | 76.33 | +| mountain | 51.5 | 70.15 | +| plant | 48.56 | 57.14 | +| curtain | 72.14 | 85.52 | +| chair | 55.54 | 68.06 | +| car | 81.65 | 88.4 | +| water | 52.86 | 66.53 | +| painting | 68.05 | 87.06 | +| sofa | 62.03 | 78.74 | +| shelf | 39.57 | 54.38 | +| house | 34.59 | 44.04 | +| sea | 50.83 | 79.97 | +| mirror | 64.98 | 75.89 | +| rug | 65.53 | 71.3 | +| field | 29.05 | 47.82 | +| armchair | 38.48 | 52.19 | +| seat | 57.36 | 77.34 | +| fence | 44.86 | 66.2 | +| desk | 45.42 | 61.98 | +| rock | 30.62 | 44.58 | +| wardrobe | 48.36 | 69.48 | +| lamp | 60.5 | 70.63 | +| bathtub | 77.65 | 80.57 | +| railing | 31.48 | 40.12 | +| cushion | 59.38 | 72.02 | +| base | 15.91 | 22.43 | +| box | 21.29 | 31.96 | +| column | 47.67 | 57.62 | +| signboard | 34.15 | 45.1 | +| chest of drawers | 38.42 | 53.96 | +| counter | 24.59 | 32.33 | +| sand | 51.96 | 60.65 | +| sink | 69.47 | 76.54 | +| skyscraper | 46.98 | 57.95 | +| fireplace | 74.38 | 87.71 | +| refrigerator | 62.23 | 69.54 | +| grandstand | 38.43 | 64.17 | +| path | 32.31 | 41.41 | +| stairs | 30.25 | 38.82 | +| runway | 69.29 | 80.15 | +| case | 44.05 | 50.57 | +| pool table | 90.89 | 94.99 | +| pillow | 55.92 | 71.05 | +| screen door | 52.48 | 55.65 | +| stairway | 29.76 | 34.11 | +| river | 14.92 | 23.88 | +| bridge | 33.75 | 44.09 | +| bookcase | 40.07 | 62.88 | +| blind | 35.53 | 38.21 | +| coffee table | 63.17 | 72.88 | +| toilet | 82.33 | 87.0 | +| flower | 34.27 | 59.26 | +| book | 42.65 | 57.52 | +| hill | 7.76 | 9.98 | +| bench | 40.59 | 46.82 | +| countertop | 51.53 | 64.49 | +| stove | 70.62 | 74.8 | +| palm | 48.66 | 69.62 | +| kitchen island | 33.68 | 51.28 | +| computer | 52.84 | 59.34 | +| swivel chair | 41.55 | 58.03 | +| boat | 40.48 | 47.54 | +| bar | 26.64 | 30.08 | +| arcade machine | 58.89 | 65.94 | +| hovel | 16.75 | 18.43 | +| bus | 84.84 | 91.94 | +| towel | 57.95 | 68.66 | +| light | 47.33 | 55.63 | +| truck | 22.38 | 29.21 | +| tower | 24.85 | 37.46 | +| chandelier | 62.12 | 75.49 | +| awning | 26.7 | 37.34 | +| streetlight | 27.82 | 38.42 | +| booth | 37.82 | 42.32 | +| television receiver | 60.45 | 76.19 | +| airplane | 49.61 | 64.86 | +| dirt track | 6.03 | 9.1 | +| apparel | 20.58 | 31.43 | +| pole | 21.54 | 30.19 | +| land | 0.25 | 0.33 | +| bannister | 10.03 | 14.64 | +| escalator | 23.97 | 28.17 | +| ottoman | 38.13 | 53.43 | +| bottle | 18.3 | 22.34 | +| buffet | 39.55 | 47.18 | +| poster | 26.9 | 43.84 | +| stage | 11.19 | 24.79 | +| van | 38.4 | 55.35 | +| ship | 56.88 | 78.15 | +| fountain | 19.95 | 21.26 | +| conveyer belt | 46.11 | 89.53 | +| canopy | 12.13 | 15.43 | +| washer | 66.08 | 67.52 | +| plaything | 22.81 | 34.49 | +| swimming pool | 46.65 | 71.12 | +| stool | 42.99 | 57.65 | +| barrel | 44.59 | 49.19 | +| basket | 31.37 | 43.69 | +| waterfall | 54.56 | 63.98 | +| tent | 92.94 | 97.6 | +| bag | 6.66 | 7.81 | +| minibike | 42.47 | 48.1 | +| cradle | 76.88 | 90.64 | +| oven | 47.91 | 63.13 | +| ball | 40.08 | 53.3 | +| food | 55.08 | 68.57 | +| step | 17.39 | 21.98 | +| tank | 41.51 | 49.0 | +| trade name | 31.8 | 42.3 | +| microwave | 38.11 | 41.44 | +| pot | 49.14 | 57.44 | +| animal | 51.47 | 56.46 | +| bicycle | 49.38 | 72.87 | +| lake | 60.71 | 65.33 | +| dishwasher | 70.74 | 76.18 | +| screen | 59.63 | 86.99 | +| blanket | 15.43 | 19.68 | +| sculpture | 53.59 | 78.54 | +| hood | 63.1 | 68.08 | +| sconce | 41.16 | 52.48 | +| vase | 31.91 | 45.18 | +| traffic light | 30.8 | 55.94 | +| tray | 14.15 | 23.61 | +| ashcan | 39.26 | 51.03 | +| fan | 53.62 | 69.88 | +| pier | 60.69 | 80.31 | +| crt screen | 1.12 | 1.5 | +| plate | 49.43 | 61.61 | +| monitor | 22.25 | 28.8 | +| bulletin board | 36.85 | 39.4 | +| shower | 2.35 | 2.82 | +| radiator | 45.82 | 50.8 | +| glass | 12.04 | 13.0 | +| clock | 21.76 | 27.73 | +| flag | 29.16 | 38.58 | ++---------------------+-------+-------+ +2023/11/27 23:38:17 - mmengine - INFO - Iter(val) [250/250] aAcc: 81.8100 mIoU: 45.4900 mAcc: 56.5300 data_time: 0.0019 time: 0.7651 +2023/11/27 23:46:21 - mmengine - INFO - Iter(train) [ 50500/120000] base_lr: 1.2537e-04 lr: 1.3216e-05 eta: 18:39:56 time: 0.9677 data_time: 0.0076 memory: 8153 grad_norm: 0.0269 loss: 0.0066 semantic_segmentation_loss_cls: 0.0066 +2023/11/27 23:54:25 - mmengine - INFO - Exp name: univision_single_semseg_base_20231127_204948 +2023/11/27 23:54:25 - mmengine - INFO - Iter(train) [ 51000/120000] base_lr: 1.2411e-04 lr: 1.3101e-05 eta: 18:31:56 time: 0.9678 data_time: 0.0076 memory: 8153 grad_norm: 0.0268 loss: 0.0066 semantic_segmentation_loss_cls: 0.0066 +2023/11/28 00:02:28 - mmengine - INFO - Iter(train) [ 51500/120000] base_lr: 1.2285e-04 lr: 1.2987e-05 eta: 18:23:53 time: 0.9677 data_time: 0.0076 memory: 8153 grad_norm: 0.0268 loss: 0.0066 semantic_segmentation_loss_cls: 0.0066 +2023/11/28 00:10:32 - mmengine - INFO - Exp name: univision_single_semseg_base_20231127_204948 +2023/11/28 00:10:32 - mmengine - INFO - Iter(train) [ 52000/120000] base_lr: 1.2159e-04 lr: 1.2871e-05 eta: 18:15:52 time: 0.9677 data_time: 0.0076 memory: 8153 grad_norm: 0.0267 loss: 0.0066 semantic_segmentation_loss_cls: 0.0066 +2023/11/28 00:18:36 - mmengine - INFO - Iter(train) [ 52500/120000] base_lr: 1.2032e-04 lr: 1.2756e-05 eta: 18:07:50 time: 0.9677 data_time: 0.0076 memory: 8153 grad_norm: 0.0266 loss: 0.0066 semantic_segmentation_loss_cls: 0.0066 +2023/11/28 00:26:39 - mmengine - INFO - Exp name: univision_single_semseg_base_20231127_204948 +2023/11/28 00:26:39 - mmengine - INFO - Iter(train) [ 53000/120000] base_lr: 1.1904e-04 lr: 1.2640e-05 eta: 17:59:46 time: 0.9676 data_time: 0.0077 memory: 8153 grad_norm: 0.0260 loss: 0.0065 semantic_segmentation_loss_cls: 0.0065 +2023/11/28 00:34:43 - mmengine - INFO - Iter(train) [ 53500/120000] base_lr: 1.1777e-04 lr: 1.2524e-05 eta: 17:51:44 time: 0.9676 data_time: 0.0077 memory: 8153 grad_norm: 0.0258 loss: 0.0065 semantic_segmentation_loss_cls: 0.0065 +2023/11/28 00:42:47 - mmengine - INFO - Exp name: univision_single_semseg_base_20231127_204948 +2023/11/28 00:42:47 - mmengine - INFO - Iter(train) [ 54000/120000] base_lr: 1.1649e-04 lr: 1.2408e-05 eta: 17:43:40 time: 0.9675 data_time: 0.0077 memory: 8153 grad_norm: 0.0254 loss: 0.0064 semantic_segmentation_loss_cls: 0.0064 +2023/11/28 00:50:51 - mmengine - INFO - Iter(train) [ 54500/120000] base_lr: 1.1521e-04 lr: 1.2292e-05 eta: 17:35:39 time: 0.9675 data_time: 0.0074 memory: 8153 grad_norm: 0.0253 loss: 0.0064 semantic_segmentation_loss_cls: 0.0064 +2023/11/28 00:58:54 - mmengine - INFO - Exp name: univision_single_semseg_base_20231127_204948 +2023/11/28 00:58:54 - mmengine - INFO - Iter(train) [ 55000/120000] base_lr: 1.1392e-04 lr: 1.2175e-05 eta: 17:27:36 time: 0.9674 data_time: 0.0074 memory: 8153 grad_norm: 0.0250 loss: 0.0063 semantic_segmentation_loss_cls: 0.0063 +2023/11/28 01:02:08 - mmengine - INFO - per class results: +2023/11/28 01:02:08 - mmengine - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 76.51 | 88.85 | +| building | 80.64 | 92.01 | +| sky | 93.0 | 97.95 | +| floor | 80.68 | 90.35 | +| tree | 72.84 | 86.43 | +| ceiling | 83.74 | 93.49 | +| road | 82.8 | 91.21 | +| bed | 87.78 | 93.55 | +| windowpane | 58.27 | 73.1 | +| grass | 69.26 | 81.81 | +| cabinet | 57.33 | 70.75 | +| sidewalk | 67.25 | 77.83 | +| person | 78.22 | 90.69 | +| earth | 37.49 | 52.44 | +| door | 48.97 | 63.51 | +| table | 57.7 | 71.91 | +| mountain | 55.3 | 70.35 | +| plant | 48.23 | 60.36 | +| curtain | 70.69 | 82.5 | +| chair | 55.95 | 66.45 | +| car | 81.96 | 89.07 | +| water | 45.52 | 56.45 | +| painting | 70.39 | 85.0 | +| sofa | 60.66 | 70.16 | +| shelf | 40.92 | 57.81 | +| house | 43.38 | 61.63 | +| sea | 51.76 | 87.09 | +| mirror | 63.67 | 71.24 | +| rug | 65.35 | 77.17 | +| field | 31.5 | 51.08 | +| armchair | 43.94 | 67.83 | +| seat | 58.57 | 77.38 | +| fence | 46.0 | 61.83 | +| desk | 47.54 | 64.26 | +| rock | 36.56 | 52.98 | +| wardrobe | 43.8 | 57.58 | +| lamp | 60.09 | 71.91 | +| bathtub | 76.72 | 83.17 | +| railing | 29.13 | 38.13 | +| cushion | 57.89 | 74.3 | +| base | 24.14 | 40.69 | +| box | 16.88 | 22.29 | +| column | 48.39 | 59.64 | +| signboard | 35.34 | 47.25 | +| chest of drawers | 39.36 | 64.7 | +| counter | 32.11 | 53.15 | +| sand | 49.87 | 65.39 | +| sink | 67.89 | 77.83 | +| skyscraper | 27.82 | 31.04 | +| fireplace | 66.04 | 91.95 | +| refrigerator | 65.26 | 70.64 | +| grandstand | 35.0 | 62.45 | +| path | 27.18 | 41.29 | +| stairs | 27.06 | 37.0 | +| runway | 68.72 | 86.21 | +| case | 39.37 | 45.47 | +| pool table | 91.13 | 95.17 | +| pillow | 56.49 | 73.08 | +| screen door | 59.64 | 61.46 | +| stairway | 32.88 | 39.38 | +| river | 16.14 | 28.05 | +| bridge | 35.42 | 44.12 | +| bookcase | 34.24 | 54.65 | +| blind | 36.74 | 41.48 | +| coffee table | 59.72 | 84.53 | +| toilet | 82.9 | 87.99 | +| flower | 33.33 | 48.81 | +| book | 42.06 | 63.61 | +| hill | 5.58 | 9.75 | +| bench | 38.89 | 44.85 | +| countertop | 53.0 | 66.42 | +| stove | 70.82 | 82.66 | +| palm | 41.68 | 57.37 | +| kitchen island | 40.45 | 75.61 | +| computer | 58.36 | 65.64 | +| swivel chair | 40.51 | 54.69 | +| boat | 41.16 | 54.45 | +| bar | 20.4 | 21.74 | +| arcade machine | 55.93 | 62.64 | +| hovel | 5.65 | 5.86 | +| bus | 89.15 | 95.36 | +| towel | 58.3 | 73.58 | +| light | 47.08 | 56.64 | +| truck | 26.21 | 44.34 | +| tower | 29.92 | 48.69 | +| chandelier | 62.66 | 71.04 | +| awning | 23.22 | 27.24 | +| streetlight | 28.25 | 36.2 | +| booth | 43.02 | 59.15 | +| television receiver | 55.25 | 80.09 | +| airplane | 56.33 | 62.53 | +| dirt track | 4.49 | 20.89 | +| apparel | 28.08 | 42.56 | +| pole | 21.76 | 31.45 | +| land | 0.86 | 1.14 | +| bannister | 12.06 | 15.61 | +| escalator | 26.03 | 31.29 | +| ottoman | 49.27 | 64.41 | +| bottle | 19.18 | 25.01 | +| buffet | 40.45 | 48.97 | +| poster | 32.62 | 41.03 | +| stage | 12.51 | 24.28 | +| van | 41.08 | 55.27 | +| ship | 51.2 | 80.48 | +| fountain | 16.42 | 17.12 | +| conveyer belt | 62.71 | 85.95 | +| canopy | 25.67 | 28.31 | +| washer | 68.42 | 72.25 | +| plaything | 25.7 | 32.65 | +| swimming pool | 35.55 | 85.58 | +| stool | 41.23 | 60.72 | +| barrel | 30.39 | 61.05 | +| basket | 35.66 | 45.29 | +| waterfall | 37.3 | 44.09 | +| tent | 80.02 | 98.34 | +| bag | 8.04 | 10.15 | +| minibike | 57.6 | 70.5 | +| cradle | 71.18 | 95.05 | +| oven | 33.64 | 41.66 | +| ball | 39.66 | 55.09 | +| food | 55.12 | 68.41 | +| step | 8.41 | 10.14 | +| tank | 48.69 | 50.14 | +| trade name | 20.97 | 24.23 | +| microwave | 36.1 | 37.98 | +| pot | 49.13 | 58.93 | +| animal | 50.4 | 53.26 | +| bicycle | 47.99 | 74.39 | +| lake | 42.91 | 57.13 | +| dishwasher | 62.37 | 67.71 | +| screen | 63.45 | 87.33 | +| blanket | 10.31 | 12.14 | +| sculpture | 51.13 | 77.53 | +| hood | 56.33 | 61.87 | +| sconce | 44.09 | 52.28 | +| vase | 36.78 | 55.97 | +| traffic light | 28.94 | 40.49 | +| tray | 15.53 | 21.05 | +| ashcan | 35.08 | 46.31 | +| fan | 57.06 | 66.12 | +| pier | 45.57 | 65.36 | +| crt screen | 11.52 | 24.73 | +| plate | 53.46 | 67.3 | +| monitor | 19.92 | 24.1 | +| bulletin board | 16.52 | 16.83 | +| shower | 2.17 | 3.36 | +| radiator | 41.19 | 46.25 | +| glass | 15.6 | 17.78 | +| clock | 19.62 | 23.05 | +| flag | 30.39 | 33.82 | ++---------------------+-------+-------+ +2023/11/28 01:02:08 - mmengine - INFO - Iter(val) [250/250] aAcc: 81.8700 mIoU: 44.9800 mAcc: 57.0600 data_time: 0.0019 time: 0.7654 +2023/11/28 01:10:12 - mmengine - INFO - Iter(train) [ 55500/120000] base_lr: 1.1264e-04 lr: 1.2058e-05 eta: 17:19:44 time: 0.9680 data_time: 0.0080 memory: 8153 grad_norm: 0.0245 loss: 0.0062 semantic_segmentation_loss_cls: 0.0062 +2023/11/28 01:18:16 - mmengine - INFO - Exp name: univision_single_semseg_base_20231127_204948 +2023/11/28 01:18:16 - mmengine - INFO - Iter(train) [ 56000/120000] base_lr: 1.1135e-04 lr: 1.1941e-05 eta: 17:11:40 time: 0.9679 data_time: 0.0080 memory: 8153 grad_norm: 0.0242 loss: 0.0062 semantic_segmentation_loss_cls: 0.0062 +2023/11/28 01:26:19 - mmengine - INFO - Iter(train) [ 56500/120000] base_lr: 1.1006e-04 lr: 1.1824e-05 eta: 17:03:36 time: 0.9679 data_time: 0.0081 memory: 8153 grad_norm: 0.0238 loss: 0.0062 semantic_segmentation_loss_cls: 0.0062 +2023/11/28 01:34:23 - mmengine - INFO - Exp name: univision_single_semseg_base_20231127_204948 +2023/11/28 01:34:23 - mmengine - INFO - Iter(train) [ 57000/120000] base_lr: 1.0877e-04 lr: 1.1706e-05 eta: 16:55:34 time: 0.9680 data_time: 0.0081 memory: 8153 grad_norm: 0.0237 loss: 0.0062 semantic_segmentation_loss_cls: 0.0062 +2023/11/28 01:42:26 - mmengine - INFO - Iter(train) [ 57500/120000] base_lr: 1.0748e-04 lr: 1.1589e-05 eta: 16:47:28 time: 0.9679 data_time: 0.0081 memory: 8153 grad_norm: 0.0237 loss: 0.0062 semantic_segmentation_loss_cls: 0.0062 +2023/11/28 01:50:30 - mmengine - INFO - Exp name: univision_single_semseg_base_20231127_204948 +2023/11/28 01:50:30 - mmengine - INFO - Iter(train) [ 58000/120000] base_lr: 1.0618e-04 lr: 1.1471e-05 eta: 16:39:26 time: 0.9680 data_time: 0.0081 memory: 8153 grad_norm: 0.0236 loss: 0.0062 semantic_segmentation_loss_cls: 0.0062 +2023/11/28 01:58:34 - mmengine - INFO - Iter(train) [ 58500/120000] base_lr: 1.0489e-04 lr: 1.1354e-05 eta: 16:31:22 time: 0.9679 data_time: 0.0081 memory: 8153 grad_norm: 0.0234 loss: 0.0061 semantic_segmentation_loss_cls: 0.0061 +2023/11/28 02:06:38 - mmengine - INFO - Exp name: univision_single_semseg_base_20231127_204948 +2023/11/28 02:06:38 - mmengine - INFO - Iter(train) [ 59000/120000] base_lr: 1.0359e-04 lr: 1.1236e-05 eta: 16:23:20 time: 0.9680 data_time: 0.0081 memory: 8153 grad_norm: 0.0231 loss: 0.0061 semantic_segmentation_loss_cls: 0.0061 +2023/11/28 02:14:42 - mmengine - INFO - Iter(train) [ 59500/120000] base_lr: 1.0230e-04 lr: 1.1118e-05 eta: 16:15:17 time: 0.9673 data_time: 0.0075 memory: 8153 grad_norm: 0.0231 loss: 0.0061 semantic_segmentation_loss_cls: 0.0061 +2023/11/28 02:22:46 - mmengine - INFO - Exp name: univision_single_semseg_base_20231127_204948 +2023/11/28 02:22:46 - mmengine - INFO - Iter(train) [ 60000/120000] base_lr: 1.0100e-04 lr: 1.1000e-05 eta: 16:07:13 time: 0.9674 data_time: 0.0075 memory: 8153 grad_norm: 0.0229 loss: 0.0060 semantic_segmentation_loss_cls: 0.0060 +2023/11/28 02:22:46 - mmengine - INFO - Saving checkpoint at 60000 iterations +2023/11/28 02:26:07 - mmengine - INFO - per class results: +2023/11/28 02:26:07 - mmengine - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 76.3 | 89.48 | +| building | 81.89 | 91.32 | +| sky | 92.92 | 97.94 | +| floor | 80.7 | 90.51 | +| tree | 73.91 | 88.35 | +| ceiling | 83.42 | 92.88 | +| road | 82.46 | 90.56 | +| bed | 87.59 | 94.94 | +| windowpane | 59.75 | 75.38 | +| grass | 67.24 | 78.67 | +| cabinet | 58.93 | 68.15 | +| sidewalk | 67.98 | 79.1 | +| person | 77.51 | 90.6 | +| earth | 40.3 | 53.24 | +| door | 50.08 | 62.96 | +| table | 60.62 | 74.24 | +| mountain | 55.14 | 69.69 | +| plant | 51.98 | 65.77 | +| curtain | 70.73 | 80.79 | +| chair | 56.72 | 70.65 | +| car | 81.52 | 88.99 | +| water | 53.9 | 66.51 | +| painting | 68.8 | 84.61 | +| sofa | 61.98 | 75.68 | +| shelf | 46.03 | 65.91 | +| house | 45.98 | 60.64 | +| sea | 54.44 | 84.74 | +| mirror | 64.79 | 78.53 | +| rug | 65.63 | 74.59 | +| field | 27.81 | 53.2 | +| armchair | 43.45 | 68.83 | +| seat | 63.36 | 81.19 | +| fence | 42.46 | 58.96 | +| desk | 44.96 | 65.44 | +| rock | 36.9 | 58.01 | +| wardrobe | 43.79 | 60.79 | +| lamp | 61.21 | 71.35 | +| bathtub | 75.23 | 78.39 | +| railing | 31.76 | 43.2 | +| cushion | 59.17 | 72.32 | +| base | 17.27 | 20.36 | +| box | 23.67 | 37.23 | +| column | 38.47 | 42.55 | +| signboard | 35.25 | 50.83 | +| chest of drawers | 41.74 | 60.78 | +| counter | 9.19 | 10.6 | +| sand | 50.62 | 63.51 | +| sink | 70.72 | 80.17 | +| skyscraper | 47.74 | 58.87 | +| fireplace | 66.79 | 83.88 | +| refrigerator | 71.49 | 78.8 | +| grandstand | 35.79 | 71.79 | +| path | 21.67 | 27.39 | +| stairs | 28.0 | 36.82 | +| runway | 74.58 | 80.21 | +| case | 45.27 | 56.06 | +| pool table | 91.94 | 95.6 | +| pillow | 53.3 | 64.21 | +| screen door | 75.2 | 80.39 | +| stairway | 31.74 | 39.72 | +| river | 15.19 | 28.46 | +| bridge | 51.25 | 63.97 | +| bookcase | 39.49 | 54.56 | +| blind | 32.83 | 36.1 | +| coffee table | 64.73 | 76.16 | +| toilet | 85.85 | 89.24 | +| flower | 36.5 | 49.61 | +| book | 45.66 | 64.05 | +| hill | 8.69 | 16.1 | +| bench | 38.02 | 48.74 | +| countertop | 52.34 | 68.09 | +| stove | 74.77 | 79.28 | +| palm | 41.61 | 52.07 | +| kitchen island | 41.44 | 74.57 | +| computer | 57.58 | 66.52 | +| swivel chair | 33.46 | 41.1 | +| boat | 40.03 | 47.99 | +| bar | 27.7 | 32.77 | +| arcade machine | 42.8 | 43.74 | +| hovel | 11.51 | 23.56 | +| bus | 87.49 | 95.57 | +| towel | 60.42 | 71.69 | +| light | 47.73 | 54.14 | +| truck | 28.75 | 44.18 | +| tower | 24.34 | 36.67 | +| chandelier | 66.79 | 78.84 | +| awning | 27.8 | 34.31 | +| streetlight | 25.63 | 30.95 | +| booth | 21.62 | 49.1 | +| television receiver | 69.14 | 75.06 | +| airplane | 52.55 | 65.06 | +| dirt track | 1.42 | 5.63 | +| apparel | 27.86 | 38.02 | +| pole | 23.47 | 34.2 | +| land | 0.9 | 1.28 | +| bannister | 11.64 | 14.33 | +| escalator | 38.62 | 52.56 | +| ottoman | 42.34 | 54.87 | +| bottle | 20.06 | 25.54 | +| buffet | 56.83 | 68.35 | +| poster | 38.64 | 56.34 | +| stage | 17.1 | 37.49 | +| van | 43.3 | 65.14 | +| ship | 58.29 | 81.3 | +| fountain | 4.61 | 4.66 | +| conveyer belt | 65.32 | 86.97 | +| canopy | 25.54 | 27.63 | +| washer | 68.52 | 70.73 | +| plaything | 24.17 | 31.56 | +| swimming pool | 55.84 | 71.42 | +| stool | 40.69 | 59.87 | +| barrel | 57.47 | 72.07 | +| basket | 28.95 | 36.04 | +| waterfall | 41.88 | 52.2 | +| tent | 88.89 | 97.23 | +| bag | 10.68 | 14.01 | +| minibike | 63.83 | 72.62 | +| cradle | 82.13 | 95.78 | +| oven | 50.57 | 56.19 | +| ball | 41.41 | 50.85 | +| food | 55.39 | 65.5 | +| step | 12.41 | 15.28 | +| tank | 48.45 | 54.89 | +| trade name | 24.77 | 29.55 | +| microwave | 36.15 | 40.04 | +| pot | 50.53 | 57.81 | +| animal | 47.31 | 51.49 | +| bicycle | 49.86 | 69.73 | +| lake | 25.31 | 25.76 | +| dishwasher | 65.87 | 71.57 | +| screen | 71.93 | 88.2 | +| blanket | 17.27 | 20.66 | +| sculpture | 59.54 | 78.71 | +| hood | 58.45 | 64.36 | +| sconce | 44.98 | 55.22 | +| vase | 38.03 | 51.95 | +| traffic light | 32.81 | 56.89 | +| tray | 12.22 | 17.7 | +| ashcan | 37.02 | 48.86 | +| fan | 53.95 | 64.18 | +| pier | 56.72 | 71.32 | +| crt screen | 3.66 | 12.7 | +| plate | 50.0 | 76.6 | +| monitor | 13.08 | 16.11 | +| bulletin board | 32.81 | 44.54 | +| shower | 4.1 | 8.49 | +| radiator | 40.26 | 48.32 | +| glass | 15.61 | 18.24 | +| clock | 20.34 | 26.62 | +| flag | 30.08 | 33.38 | ++---------------------+-------+-------+ +2023/11/28 02:26:07 - mmengine - INFO - Iter(val) [250/250] aAcc: 82.2500 mIoU: 46.4900 mAcc: 57.6600 data_time: 0.0020 time: 0.7659 +2023/11/28 03:03:38 - mmengine - INFO - Iter(train) [ 60500/120000] base_lr: 9.9707e-05 lr: 1.0882e-05 eta: 15:54:23 time: 0.9668 data_time: 0.0074 memory: 8153 grad_norm: 0.0230 loss: 0.0060 semantic_segmentation_loss_cls: 0.0060 +2023/11/28 03:11:40 - mmengine - INFO - Exp name: univision_single_semseg_base_20231128_025431 +2023/11/28 03:11:40 - mmengine - INFO - Iter(train) [ 61000/120000] base_lr: 9.8411e-05 lr: 1.0765e-05 eta: 15:46:47 time: 0.9662 data_time: 0.0074 memory: 8153 grad_norm: 0.0229 loss: 0.0060 semantic_segmentation_loss_cls: 0.0060 +2023/11/28 03:11:40 - mmengine - INFO - Saving checkpoint at 61000 iterations +2023/11/28 03:19:53 - mmengine - INFO - Iter(train) [ 61500/120000] base_lr: 9.7116e-05 lr: 1.0647e-05 eta: 15:46:33 time: 0.9688 data_time: 0.0097 memory: 8153 grad_norm: 0.0224 loss: 0.0059 semantic_segmentation_loss_cls: 0.0059 +2023/11/28 03:27:57 - mmengine - INFO - Exp name: univision_single_semseg_base_20231128_025431 +2023/11/28 03:27:57 - mmengine - INFO - Iter(train) [ 62000/120000] base_lr: 9.5821e-05 lr: 1.0529e-05 eta: 15:37:34 time: 0.9687 data_time: 0.0097 memory: 8153 grad_norm: 0.0221 loss: 0.0059 semantic_segmentation_loss_cls: 0.0059 +2023/11/28 03:27:57 - mmengine - INFO - Saving checkpoint at 62000 iterations +2023/11/28 03:36:10 - mmengine - INFO - Iter(train) [ 62500/120000] base_lr: 9.4528e-05 lr: 1.0412e-05 eta: 15:32:39 time: 0.9711 data_time: 0.0120 memory: 8153 grad_norm: 0.0220 loss: 0.0059 semantic_segmentation_loss_cls: 0.0059 +2023/11/28 03:44:14 - mmengine - INFO - Exp name: univision_single_semseg_base_20231128_025431 +2023/11/28 03:44:14 - mmengine - INFO - Iter(train) [ 63000/120000] base_lr: 9.3235e-05 lr: 1.0294e-05 eta: 15:23:45 time: 0.9712 data_time: 0.0121 memory: 8153 grad_norm: 0.0219 loss: 0.0059 semantic_segmentation_loss_cls: 0.0059 +2023/11/28 03:44:14 - mmengine - INFO - Saving checkpoint at 63000 iterations +2023/11/28 03:52:28 - mmengine - INFO - Iter(train) [ 63500/120000] base_lr: 9.1944e-05 lr: 1.0177e-05 eta: 15:17:35 time: 0.9735 data_time: 0.0144 memory: 8153 grad_norm: 0.0218 loss: 0.0059 semantic_segmentation_loss_cls: 0.0059 +2023/11/28 04:00:32 - mmengine - INFO - Exp name: univision_single_semseg_base_20231128_025431 +2023/11/28 04:00:32 - mmengine - INFO - Iter(train) [ 64000/120000] base_lr: 9.0654e-05 lr: 1.0059e-05 eta: 15:08:46 time: 0.9737 data_time: 0.0144 memory: 8153 grad_norm: 0.0216 loss: 0.0059 semantic_segmentation_loss_cls: 0.0059 +2023/11/28 04:00:32 - mmengine - INFO - Saving checkpoint at 64000 iterations +2023/11/28 04:08:45 - mmengine - INFO - Iter(train) [ 64500/120000] base_lr: 8.9366e-05 lr: 9.9424e-06 eta: 15:01:56 time: 0.9767 data_time: 0.0167 memory: 8153 grad_norm: 0.0215 loss: 0.0058 semantic_segmentation_loss_cls: 0.0058 +2023/11/28 04:16:49 - mmengine - INFO - Exp name: univision_single_semseg_base_20231128_025431 +2023/11/28 04:16:49 - mmengine - INFO - Iter(train) [ 65000/120000] base_lr: 8.8080e-05 lr: 9.8255e-06 eta: 14:53:08 time: 0.9772 data_time: 0.0167 memory: 8153 grad_norm: 0.0212 loss: 0.0058 semantic_segmentation_loss_cls: 0.0058 +2023/11/28 04:16:49 - mmengine - INFO - Saving checkpoint at 65000 iterations +2023/11/28 04:20:11 - mmengine - INFO - per class results: +2023/11/28 04:20:11 - mmengine - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 76.43 | 88.44 | +| building | 80.55 | 93.61 | +| sky | 93.51 | 97.75 | +| floor | 80.32 | 88.93 | +| tree | 73.79 | 85.64 | +| ceiling | 83.47 | 93.79 | +| road | 80.29 | 90.37 | +| bed | 86.52 | 94.47 | +| windowpane | 61.17 | 77.29 | +| grass | 70.49 | 81.73 | +| cabinet | 57.65 | 73.32 | +| sidewalk | 64.97 | 77.38 | +| person | 78.7 | 90.76 | +| earth | 37.74 | 51.36 | +| door | 50.13 | 67.14 | +| table | 58.9 | 76.69 | +| mountain | 52.44 | 74.06 | +| plant | 52.23 | 65.54 | +| curtain | 70.55 | 81.26 | +| chair | 56.27 | 69.95 | +| car | 79.7 | 91.2 | +| water | 46.64 | 56.94 | +| painting | 71.55 | 85.96 | +| sofa | 61.3 | 79.26 | +| shelf | 42.64 | 61.37 | +| house | 24.34 | 28.61 | +| sea | 53.46 | 89.79 | +| mirror | 65.96 | 73.12 | +| rug | 66.39 | 74.86 | +| field | 34.02 | 56.59 | +| armchair | 39.66 | 54.61 | +| seat | 62.63 | 79.11 | +| fence | 45.8 | 60.9 | +| desk | 43.69 | 61.31 | +| rock | 36.09 | 53.89 | +| wardrobe | 46.38 | 66.28 | +| lamp | 60.97 | 72.92 | +| bathtub | 75.91 | 80.51 | +| railing | 30.99 | 40.82 | +| cushion | 57.54 | 66.62 | +| base | 24.05 | 37.19 | +| box | 20.13 | 25.57 | +| column | 42.71 | 48.84 | +| signboard | 34.59 | 45.77 | +| chest of drawers | 36.22 | 51.4 | +| counter | 18.06 | 19.65 | +| sand | 43.36 | 51.72 | +| sink | 68.93 | 82.62 | +| skyscraper | 46.8 | 53.1 | +| fireplace | 71.24 | 89.41 | +| refrigerator | 71.15 | 76.92 | +| grandstand | 37.37 | 66.63 | +| path | 21.42 | 27.52 | +| stairs | 26.59 | 35.92 | +| runway | 71.52 | 86.95 | +| case | 36.32 | 51.72 | +| pool table | 91.37 | 95.96 | +| pillow | 55.08 | 67.1 | +| screen door | 69.54 | 79.51 | +| stairway | 30.02 | 42.48 | +| river | 16.78 | 35.9 | +| bridge | 36.86 | 48.01 | +| bookcase | 35.1 | 47.82 | +| blind | 37.4 | 42.67 | +| coffee table | 60.87 | 72.64 | +| toilet | 83.19 | 86.17 | +| flower | 38.92 | 55.65 | +| book | 46.81 | 67.0 | +| hill | 8.44 | 13.1 | +| bench | 36.98 | 43.35 | +| countertop | 51.6 | 60.79 | +| stove | 73.74 | 80.4 | +| palm | 48.97 | 69.55 | +| kitchen island | 44.59 | 71.6 | +| computer | 57.55 | 65.74 | +| swivel chair | 36.02 | 48.55 | +| boat | 45.25 | 52.34 | +| bar | 13.45 | 15.99 | +| arcade machine | 49.53 | 51.51 | +| hovel | 6.81 | 8.4 | +| bus | 86.92 | 95.08 | +| towel | 61.35 | 74.03 | +| light | 50.13 | 59.43 | +| truck | 24.02 | 40.78 | +| tower | 19.07 | 27.89 | +| chandelier | 66.64 | 77.24 | +| awning | 26.4 | 32.31 | +| streetlight | 27.33 | 35.2 | +| booth | 40.11 | 41.1 | +| television receiver | 56.9 | 78.77 | +| airplane | 55.18 | 65.47 | +| dirt track | 6.67 | 18.38 | +| apparel | 26.11 | 38.79 | +| pole | 20.15 | 25.51 | +| land | 1.89 | 2.28 | +| bannister | 16.77 | 24.91 | +| escalator | 25.34 | 30.9 | +| ottoman | 38.8 | 60.3 | +| bottle | 17.95 | 20.83 | +| buffet | 41.72 | 46.19 | +| poster | 40.18 | 50.19 | +| stage | 13.1 | 24.52 | +| van | 34.1 | 43.38 | +| ship | 21.73 | 32.31 | +| fountain | 4.61 | 4.68 | +| conveyer belt | 61.18 | 85.94 | +| canopy | 13.75 | 14.6 | +| washer | 69.36 | 72.04 | +| plaything | 24.88 | 32.22 | +| swimming pool | 67.84 | 74.77 | +| stool | 43.27 | 56.18 | +| barrel | 34.0 | 74.47 | +| basket | 30.42 | 46.35 | +| waterfall | 50.96 | 54.38 | +| tent | 89.73 | 97.44 | +| bag | 7.5 | 9.95 | +| minibike | 43.52 | 48.47 | +| cradle | 76.01 | 95.24 | +| oven | 43.65 | 52.35 | +| ball | 46.53 | 56.03 | +| food | 48.92 | 54.61 | +| step | 10.9 | 12.01 | +| tank | 35.76 | 41.89 | +| trade name | 23.36 | 26.94 | +| microwave | 38.24 | 41.35 | +| pot | 49.89 | 57.73 | +| animal | 52.25 | 57.16 | +| bicycle | 48.71 | 74.44 | +| lake | 51.36 | 51.88 | +| dishwasher | 62.81 | 66.71 | +| screen | 68.96 | 86.62 | +| blanket | 15.39 | 18.17 | +| sculpture | 59.9 | 73.11 | +| hood | 60.11 | 63.9 | +| sconce | 43.13 | 53.11 | +| vase | 36.73 | 55.09 | +| traffic light | 31.78 | 53.92 | +| tray | 12.47 | 19.45 | +| ashcan | 38.91 | 60.33 | +| fan | 58.53 | 72.81 | +| pier | 50.81 | 68.55 | +| crt screen | 4.21 | 6.27 | +| plate | 51.54 | 75.37 | +| monitor | 46.94 | 57.56 | +| bulletin board | 29.84 | 36.51 | +| shower | 6.95 | 11.56 | +| radiator | 49.16 | 56.04 | +| glass | 15.33 | 17.5 | +| clock | 20.86 | 25.69 | +| flag | 29.29 | 32.46 | ++---------------------+-------+-------+ +2023/11/28 04:20:11 - mmengine - INFO - Iter(val) [250/250] aAcc: 81.9500 mIoU: 45.5700 mAcc: 56.5100 data_time: 0.0035 time: 0.7660 +2023/11/28 04:28:15 - mmengine - INFO - Iter(train) [ 65500/120000] base_lr: 8.6797e-05 lr: 9.7088e-06 eta: 14:44:39 time: 0.9751 data_time: 0.0146 memory: 8153 grad_norm: 0.0213 loss: 0.0058 semantic_segmentation_loss_cls: 0.0058 +2023/11/28 04:36:19 - mmengine - INFO - Exp name: univision_single_semseg_base_20231128_025431 +2023/11/28 04:36:19 - mmengine - INFO - Iter(train) [ 66000/120000] base_lr: 8.5516e-05 lr: 9.5923e-06 eta: 14:36:03 time: 0.9751 data_time: 0.0146 memory: 8153 grad_norm: 0.0212 loss: 0.0058 semantic_segmentation_loss_cls: 0.0058 +2023/11/28 04:36:19 - mmengine - INFO - Saving checkpoint at 66000 iterations +2023/11/28 04:44:33 - mmengine - INFO - Iter(train) [ 66500/120000] base_lr: 8.4237e-05 lr: 9.4761e-06 eta: 14:28:55 time: 0.9753 data_time: 0.0147 memory: 8153 grad_norm: 0.0211 loss: 0.0057 semantic_segmentation_loss_cls: 0.0057 +2023/11/28 04:52:38 - mmengine - INFO - Exp name: univision_single_semseg_base_20231128_025431 +2023/11/28 04:52:38 - mmengine - INFO - Iter(train) [ 67000/120000] base_lr: 8.2961e-05 lr: 9.3601e-06 eta: 14:20:30 time: 0.9755 data_time: 0.0147 memory: 8153 grad_norm: 0.0208 loss: 0.0057 semantic_segmentation_loss_cls: 0.0057 +2023/11/28 04:52:38 - mmengine - INFO - Saving checkpoint at 67000 iterations +2023/11/28 05:00:52 - mmengine - INFO - Iter(train) [ 67500/120000] base_lr: 8.1689e-05 lr: 9.2444e-06 eta: 14:13:11 time: 0.9756 data_time: 0.0146 memory: 8153 grad_norm: 0.0206 loss: 0.0057 semantic_segmentation_loss_cls: 0.0057 +2023/11/28 05:08:55 - mmengine - INFO - Exp name: univision_single_semseg_base_20231128_025431 +2023/11/28 05:08:55 - mmengine - INFO - Iter(train) [ 68000/120000] base_lr: 8.0419e-05 lr: 9.1290e-06 eta: 14:04:39 time: 0.9755 data_time: 0.0146 memory: 8153 grad_norm: 0.0206 loss: 0.0056 semantic_segmentation_loss_cls: 0.0056 +2023/11/28 05:08:55 - mmengine - INFO - Saving checkpoint at 68000 iterations +2023/11/28 05:17:09 - mmengine - INFO - Iter(train) [ 68500/120000] base_lr: 7.9153e-05 lr: 9.0140e-06 eta: 13:57:10 time: 0.9757 data_time: 0.0147 memory: 8153 grad_norm: 0.0202 loss: 0.0056 semantic_segmentation_loss_cls: 0.0056 +2023/11/28 05:25:13 - mmengine - INFO - Exp name: univision_single_semseg_base_20231128_025431 +2023/11/28 05:25:13 - mmengine - INFO - Iter(train) [ 69000/120000] base_lr: 7.7891e-05 lr: 8.8992e-06 eta: 13:48:41 time: 0.9757 data_time: 0.0147 memory: 8153 grad_norm: 0.0201 loss: 0.0056 semantic_segmentation_loss_cls: 0.0056 +2023/11/28 05:25:13 - mmengine - INFO - Saving checkpoint at 69000 iterations +2023/11/28 05:33:27 - mmengine - INFO - Iter(train) [ 69500/120000] base_lr: 7.6633e-05 lr: 8.7848e-06 eta: 13:41:05 time: 0.9778 data_time: 0.0168 memory: 8153 grad_norm: 0.0198 loss: 0.0056 semantic_segmentation_loss_cls: 0.0056 +2023/11/28 05:41:31 - mmengine - INFO - Exp name: univision_single_semseg_base_20231128_025431 +2023/11/28 05:41:31 - mmengine - INFO - Iter(train) [ 70000/120000] base_lr: 7.5379e-05 lr: 8.6709e-06 eta: 13:32:42 time: 0.9780 data_time: 0.0168 memory: 8153 grad_norm: 0.0199 loss: 0.0056 semantic_segmentation_loss_cls: 0.0056 +2023/11/28 05:41:31 - mmengine - INFO - Saving checkpoint at 70000 iterations +2023/11/28 05:44:53 - mmengine - INFO - per class results: +2023/11/28 05:44:53 - mmengine - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 76.86 | 88.8 | +| building | 80.5 | 92.6 | +| sky | 93.46 | 97.87 | +| floor | 81.07 | 89.82 | +| tree | 72.74 | 87.53 | +| ceiling | 83.93 | 93.51 | +| road | 83.4 | 90.64 | +| bed | 88.09 | 95.14 | +| windowpane | 61.94 | 75.68 | +| grass | 68.72 | 81.63 | +| cabinet | 61.18 | 73.8 | +| sidewalk | 66.61 | 82.9 | +| person | 78.71 | 91.21 | +| earth | 38.6 | 53.39 | +| door | 50.24 | 61.64 | +| table | 59.42 | 75.38 | +| mountain | 54.66 | 70.38 | +| plant | 49.27 | 57.52 | +| curtain | 72.34 | 80.28 | +| chair | 56.94 | 69.74 | +| car | 80.68 | 90.56 | +| water | 48.49 | 63.08 | +| painting | 69.95 | 85.11 | +| sofa | 62.41 | 74.17 | +| shelf | 46.19 | 62.85 | +| house | 43.12 | 57.8 | +| sea | 44.87 | 72.78 | +| mirror | 67.38 | 78.33 | +| rug | 66.35 | 78.15 | +| field | 32.6 | 52.91 | +| armchair | 44.72 | 65.14 | +| seat | 62.09 | 78.81 | +| fence | 41.72 | 54.61 | +| desk | 44.6 | 71.89 | +| rock | 35.7 | 51.13 | +| wardrobe | 53.29 | 64.32 | +| lamp | 61.28 | 72.71 | +| bathtub | 77.28 | 81.98 | +| railing | 32.61 | 47.61 | +| cushion | 59.1 | 74.45 | +| base | 23.39 | 33.28 | +| box | 19.85 | 26.59 | +| column | 45.51 | 54.52 | +| signboard | 37.63 | 55.98 | +| chest of drawers | 36.95 | 67.5 | +| counter | 18.41 | 25.76 | +| sand | 42.55 | 55.83 | +| sink | 68.86 | 80.34 | +| skyscraper | 46.0 | 53.96 | +| fireplace | 70.98 | 90.93 | +| refrigerator | 71.03 | 78.12 | +| grandstand | 40.02 | 67.68 | +| path | 28.14 | 33.79 | +| stairs | 30.45 | 41.57 | +| runway | 70.96 | 87.11 | +| case | 43.98 | 54.06 | +| pool table | 91.95 | 95.59 | +| pillow | 54.67 | 67.39 | +| screen door | 74.73 | 80.01 | +| stairway | 29.91 | 37.33 | +| river | 14.01 | 23.86 | +| bridge | 35.16 | 46.1 | +| bookcase | 42.81 | 64.63 | +| blind | 38.73 | 43.25 | +| coffee table | 60.74 | 77.15 | +| toilet | 82.98 | 88.25 | +| flower | 39.95 | 58.16 | +| book | 43.63 | 63.42 | +| hill | 6.03 | 8.91 | +| bench | 37.86 | 46.86 | +| countertop | 49.97 | 68.61 | +| stove | 74.14 | 80.68 | +| palm | 46.56 | 65.97 | +| kitchen island | 39.09 | 82.77 | +| computer | 54.12 | 60.91 | +| swivel chair | 35.09 | 43.29 | +| boat | 42.01 | 48.79 | +| bar | 19.73 | 21.49 | +| arcade machine | 51.55 | 53.73 | +| hovel | 6.37 | 10.99 | +| bus | 80.92 | 95.14 | +| towel | 58.51 | 77.72 | +| light | 47.92 | 55.9 | +| truck | 27.53 | 32.99 | +| tower | 26.42 | 43.69 | +| chandelier | 67.34 | 79.39 | +| awning | 27.25 | 34.28 | +| streetlight | 24.61 | 29.62 | +| booth | 45.71 | 50.78 | +| television receiver | 61.42 | 79.06 | +| airplane | 58.07 | 63.47 | +| dirt track | 0.81 | 1.88 | +| apparel | 30.52 | 38.87 | +| pole | 22.52 | 28.71 | +| land | 0.37 | 0.55 | +| bannister | 13.0 | 17.56 | +| escalator | 34.81 | 45.0 | +| ottoman | 40.61 | 52.91 | +| bottle | 27.34 | 35.07 | +| buffet | 29.62 | 32.02 | +| poster | 31.2 | 37.41 | +| stage | 11.71 | 23.98 | +| van | 34.01 | 47.2 | +| ship | 45.94 | 69.61 | +| fountain | 16.93 | 19.27 | +| conveyer belt | 61.13 | 88.34 | +| canopy | 14.93 | 16.69 | +| washer | 72.41 | 75.8 | +| plaything | 20.27 | 28.79 | +| swimming pool | 57.29 | 65.22 | +| stool | 43.42 | 62.59 | +| barrel | 61.15 | 68.43 | +| basket | 35.6 | 46.28 | +| waterfall | 51.31 | 56.5 | +| tent | 87.25 | 97.99 | +| bag | 7.13 | 7.83 | +| minibike | 59.53 | 75.3 | +| cradle | 78.94 | 92.67 | +| oven | 49.52 | 69.88 | +| ball | 40.14 | 52.57 | +| food | 49.36 | 60.72 | +| step | 9.55 | 11.55 | +| tank | 51.07 | 57.25 | +| trade name | 19.4 | 22.64 | +| microwave | 38.1 | 41.02 | +| pot | 50.23 | 57.18 | +| animal | 49.19 | 53.02 | +| bicycle | 51.74 | 70.14 | +| lake | 57.04 | 62.64 | +| dishwasher | 63.97 | 70.64 | +| screen | 59.7 | 84.35 | +| blanket | 16.41 | 19.12 | +| sculpture | 55.3 | 74.94 | +| hood | 62.56 | 68.29 | +| sconce | 44.39 | 53.58 | +| vase | 36.14 | 52.86 | +| traffic light | 35.64 | 54.06 | +| tray | 12.72 | 17.54 | +| ashcan | 34.38 | 43.1 | +| fan | 58.09 | 68.17 | +| pier | 41.42 | 65.77 | +| crt screen | 3.82 | 5.48 | +| plate | 52.78 | 67.31 | +| monitor | 53.95 | 72.74 | +| bulletin board | 30.75 | 43.53 | +| shower | 4.6 | 16.29 | +| radiator | 46.19 | 49.67 | +| glass | 15.88 | 18.07 | +| clock | 19.12 | 25.01 | +| flag | 27.52 | 30.19 | ++---------------------+-------+-------+ +2023/11/28 05:44:53 - mmengine - INFO - Iter(val) [250/250] aAcc: 82.3700 mIoU: 46.5000 mAcc: 57.7800 data_time: 0.0021 time: 0.7648 +2023/11/28 05:52:57 - mmengine - INFO - Iter(train) [ 70500/120000] base_lr: 7.4130e-05 lr: 8.5573e-06 eta: 13:24:20 time: 0.9757 data_time: 0.0146 memory: 8153 grad_norm: 0.0197 loss: 0.0056 semantic_segmentation_loss_cls: 0.0056 +2023/11/28 06:01:01 - mmengine - INFO - Exp name: univision_single_semseg_base_20231128_025431 +2023/11/28 06:01:01 - mmengine - INFO - Iter(train) [ 71000/120000] base_lr: 7.2885e-05 lr: 8.4441e-06 eta: 13:15:59 time: 0.9756 data_time: 0.0146 memory: 8153 grad_norm: 0.0197 loss: 0.0055 semantic_segmentation_loss_cls: 0.0055 +2023/11/28 06:01:01 - mmengine - INFO - Saving checkpoint at 71000 iterations +2023/11/28 06:09:14 - mmengine - INFO - Iter(train) [ 71500/120000] base_lr: 7.1645e-05 lr: 8.3314e-06 eta: 13:08:16 time: 0.9754 data_time: 0.0146 memory: 8153 grad_norm: 0.0195 loss: 0.0055 semantic_segmentation_loss_cls: 0.0055 +2023/11/28 06:17:19 - mmengine - INFO - Exp name: univision_single_semseg_base_20231128_025431 +2023/11/28 06:17:19 - mmengine - INFO - Iter(train) [ 72000/120000] base_lr: 7.0410e-05 lr: 8.2191e-06 eta: 12:59:55 time: 0.9756 data_time: 0.0146 memory: 8153 grad_norm: 0.0194 loss: 0.0055 semantic_segmentation_loss_cls: 0.0055 +2023/11/28 06:17:19 - mmengine - INFO - Saving checkpoint at 72000 iterations +2023/11/28 06:25:32 - mmengine - INFO - Iter(train) [ 72500/120000] base_lr: 6.9180e-05 lr: 8.1073e-06 eta: 12:52:10 time: 0.9755 data_time: 0.0146 memory: 8153 grad_norm: 0.0193 loss: 0.0055 semantic_segmentation_loss_cls: 0.0055 +2023/11/28 06:33:36 - mmengine - INFO - Exp name: univision_single_semseg_base_20231128_025431 +2023/11/28 06:33:36 - mmengine - INFO - Iter(train) [ 73000/120000] base_lr: 6.7956e-05 lr: 7.9960e-06 eta: 12:43:49 time: 0.9755 data_time: 0.0146 memory: 8153 grad_norm: 0.0193 loss: 0.0055 semantic_segmentation_loss_cls: 0.0055 +2023/11/28 06:33:36 - mmengine - INFO - Saving checkpoint at 73000 iterations +2023/11/28 06:41:50 - mmengine - INFO - Iter(train) [ 73500/120000] base_lr: 6.6737e-05 lr: 7.8852e-06 eta: 12:36:03 time: 0.9756 data_time: 0.0147 memory: 8153 grad_norm: 0.0191 loss: 0.0054 semantic_segmentation_loss_cls: 0.0054 +2023/11/28 06:49:54 - mmengine - INFO - Exp name: univision_single_semseg_base_20231128_025431 +2023/11/28 06:49:54 - mmengine - INFO - Iter(train) [ 74000/120000] base_lr: 6.5524e-05 lr: 7.7749e-06 eta: 12:27:42 time: 0.9753 data_time: 0.0147 memory: 8153 grad_norm: 0.0188 loss: 0.0054 semantic_segmentation_loss_cls: 0.0054 +2023/11/28 06:49:54 - mmengine - INFO - Saving checkpoint at 74000 iterations +2023/11/28 06:58:07 - mmengine - INFO - Iter(train) [ 74500/120000] base_lr: 6.4317e-05 lr: 7.6652e-06 eta: 12:19:53 time: 0.9776 data_time: 0.0168 memory: 8153 grad_norm: 0.0188 loss: 0.0053 semantic_segmentation_loss_cls: 0.0053 +2023/11/28 07:06:11 - mmengine - INFO - Exp name: univision_single_semseg_base_20231128_025431 +2023/11/28 07:06:11 - mmengine - INFO - Iter(train) [ 75000/120000] base_lr: 6.3117e-05 lr: 7.5561e-06 eta: 12:11:32 time: 0.9773 data_time: 0.0167 memory: 8153 grad_norm: 0.0184 loss: 0.0053 semantic_segmentation_loss_cls: 0.0053 +2023/11/28 07:06:11 - mmengine - INFO - Saving checkpoint at 75000 iterations +2023/11/28 07:09:32 - mmengine - INFO - per class results: +2023/11/28 07:09:32 - mmengine - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 76.58 | 88.14 | +| building | 81.8 | 91.6 | +| sky | 93.42 | 97.9 | +| floor | 80.6 | 90.96 | +| tree | 72.92 | 87.95 | +| ceiling | 83.01 | 94.73 | +| road | 83.29 | 89.63 | +| bed | 87.57 | 94.99 | +| windowpane | 60.21 | 78.97 | +| grass | 67.52 | 79.68 | +| cabinet | 62.14 | 74.76 | +| sidewalk | 66.83 | 80.67 | +| person | 78.4 | 91.02 | +| earth | 39.48 | 56.93 | +| door | 51.48 | 63.49 | +| table | 60.38 | 75.83 | +| mountain | 56.74 | 70.01 | +| plant | 51.49 | 65.0 | +| curtain | 70.92 | 82.27 | +| chair | 55.38 | 67.89 | +| car | 81.69 | 90.17 | +| water | 52.82 | 70.88 | +| painting | 70.8 | 85.52 | +| sofa | 63.26 | 79.49 | +| shelf | 46.34 | 62.6 | +| house | 47.6 | 64.61 | +| sea | 50.53 | 69.06 | +| mirror | 66.61 | 76.92 | +| rug | 67.2 | 76.4 | +| field | 27.8 | 44.68 | +| armchair | 39.52 | 57.72 | +| seat | 61.83 | 79.54 | +| fence | 41.91 | 58.32 | +| desk | 47.65 | 67.19 | +| rock | 40.69 | 58.16 | +| wardrobe | 53.11 | 65.93 | +| lamp | 61.35 | 73.55 | +| bathtub | 79.89 | 83.51 | +| railing | 31.95 | 45.2 | +| cushion | 59.45 | 69.99 | +| base | 18.32 | 24.95 | +| box | 21.22 | 26.55 | +| column | 47.95 | 62.32 | +| signboard | 37.95 | 53.43 | +| chest of drawers | 39.43 | 61.26 | +| counter | 23.16 | 31.25 | +| sand | 48.19 | 60.53 | +| sink | 70.94 | 80.28 | +| skyscraper | 44.97 | 51.39 | +| fireplace | 71.48 | 89.24 | +| refrigerator | 69.04 | 79.48 | +| grandstand | 36.15 | 67.58 | +| path | 27.9 | 36.52 | +| stairs | 26.4 | 32.64 | +| runway | 70.78 | 84.09 | +| case | 42.97 | 56.14 | +| pool table | 92.03 | 95.88 | +| pillow | 56.89 | 71.75 | +| screen door | 67.94 | 72.55 | +| stairway | 30.63 | 36.97 | +| river | 13.74 | 27.7 | +| bridge | 48.35 | 61.99 | +| bookcase | 40.66 | 56.26 | +| blind | 33.15 | 37.63 | +| coffee table | 61.41 | 80.62 | +| toilet | 84.73 | 89.17 | +| flower | 40.39 | 53.82 | +| book | 44.51 | 62.61 | +| hill | 6.23 | 8.68 | +| bench | 41.78 | 49.03 | +| countertop | 49.07 | 66.08 | +| stove | 74.03 | 78.64 | +| palm | 48.46 | 65.04 | +| kitchen island | 39.95 | 84.88 | +| computer | 61.61 | 69.35 | +| swivel chair | 38.11 | 51.29 | +| boat | 47.51 | 52.25 | +| bar | 22.92 | 27.42 | +| arcade machine | 51.71 | 54.74 | +| hovel | 10.22 | 12.74 | +| bus | 88.91 | 93.79 | +| towel | 59.42 | 71.66 | +| light | 43.62 | 50.98 | +| truck | 28.81 | 38.26 | +| tower | 29.33 | 44.21 | +| chandelier | 64.1 | 74.19 | +| awning | 28.74 | 35.04 | +| streetlight | 29.23 | 39.83 | +| booth | 41.81 | 46.95 | +| television receiver | 57.84 | 82.7 | +| airplane | 54.29 | 64.84 | +| dirt track | 6.33 | 18.06 | +| apparel | 27.41 | 37.72 | +| pole | 19.34 | 23.7 | +| land | 0.3 | 0.4 | +| bannister | 13.47 | 17.96 | +| escalator | 20.79 | 25.7 | +| ottoman | 47.05 | 61.86 | +| bottle | 29.12 | 40.5 | +| buffet | 49.1 | 53.77 | +| poster | 29.4 | 34.89 | +| stage | 16.08 | 29.48 | +| van | 41.19 | 60.07 | +| ship | 59.6 | 80.72 | +| fountain | 2.04 | 2.16 | +| conveyer belt | 68.98 | 87.86 | +| canopy | 12.17 | 14.24 | +| washer | 69.71 | 73.64 | +| plaything | 24.28 | 32.1 | +| swimming pool | 57.13 | 61.4 | +| stool | 45.33 | 58.52 | +| barrel | 48.37 | 54.11 | +| basket | 31.51 | 45.51 | +| waterfall | 42.87 | 54.75 | +| tent | 90.54 | 97.37 | +| bag | 5.96 | 6.92 | +| minibike | 48.34 | 56.95 | +| cradle | 77.48 | 95.35 | +| oven | 43.14 | 49.52 | +| ball | 37.62 | 51.0 | +| food | 52.09 | 61.4 | +| step | 5.34 | 6.26 | +| tank | 45.07 | 49.21 | +| trade name | 24.96 | 30.12 | +| microwave | 37.64 | 40.26 | +| pot | 52.49 | 61.29 | +| animal | 50.55 | 53.55 | +| bicycle | 52.25 | 75.85 | +| lake | 57.62 | 63.86 | +| dishwasher | 66.26 | 71.47 | +| screen | 51.29 | 88.26 | +| blanket | 16.23 | 18.4 | +| sculpture | 62.88 | 75.72 | +| hood | 59.95 | 62.8 | +| sconce | 46.92 | 57.75 | +| vase | 35.13 | 49.08 | +| traffic light | 36.72 | 48.04 | +| tray | 15.0 | 21.07 | +| ashcan | 37.45 | 50.75 | +| fan | 56.83 | 65.62 | +| pier | 59.0 | 75.72 | +| crt screen | 1.95 | 3.13 | +| plate | 54.35 | 70.67 | +| monitor | 48.56 | 65.83 | +| bulletin board | 28.12 | 35.64 | +| shower | 3.21 | 6.49 | +| radiator | 48.48 | 55.9 | +| glass | 15.66 | 17.15 | +| clock | 21.71 | 29.25 | +| flag | 30.08 | 36.36 | ++---------------------+-------+-------+ +2023/11/28 07:09:32 - mmengine - INFO - Iter(val) [250/250] aAcc: 82.5100 mIoU: 46.9300 mAcc: 57.8800 data_time: 0.0019 time: 0.7641 +2023/11/28 07:17:37 - mmengine - INFO - Iter(train) [ 75500/120000] base_lr: 6.1923e-05 lr: 7.4475e-06 eta: 12:03:18 time: 0.9754 data_time: 0.0147 memory: 8153 grad_norm: 0.0184 loss: 0.0053 semantic_segmentation_loss_cls: 0.0053 +2023/11/28 07:25:41 - mmengine - INFO - Exp name: univision_single_semseg_base_20231128_025431 +2023/11/28 07:25:41 - mmengine - INFO - Iter(train) [ 76000/120000] base_lr: 6.0735e-05 lr: 7.3396e-06 eta: 11:55:00 time: 0.9753 data_time: 0.0147 memory: 8153 grad_norm: 0.0182 loss: 0.0053 semantic_segmentation_loss_cls: 0.0053 +2023/11/28 07:25:41 - mmengine - INFO - Saving checkpoint at 76000 iterations +2023/11/28 07:33:54 - mmengine - INFO - Iter(train) [ 76500/120000] base_lr: 5.9555e-05 lr: 7.2323e-06 eta: 11:47:07 time: 0.9752 data_time: 0.0146 memory: 8153 grad_norm: 0.0181 loss: 0.0053 semantic_segmentation_loss_cls: 0.0053 +2023/11/28 07:41:58 - mmengine - INFO - Exp name: univision_single_semseg_base_20231128_025431 +2023/11/28 07:41:58 - mmengine - INFO - Iter(train) [ 77000/120000] base_lr: 5.8382e-05 lr: 7.1256e-06 eta: 11:38:51 time: 0.9754 data_time: 0.0146 memory: 8153 grad_norm: 0.0179 loss: 0.0053 semantic_segmentation_loss_cls: 0.0053 +2023/11/28 07:41:58 - mmengine - INFO - Saving checkpoint at 77000 iterations +2023/11/28 07:50:11 - mmengine - INFO - Iter(train) [ 77500/120000] base_lr: 5.7216e-05 lr: 7.0196e-06 eta: 11:30:57 time: 0.9751 data_time: 0.0145 memory: 8153 grad_norm: 0.0178 loss: 0.0053 semantic_segmentation_loss_cls: 0.0053 +2023/11/28 07:58:16 - mmengine - INFO - Exp name: univision_single_semseg_base_20231128_025431 +2023/11/28 07:58:16 - mmengine - INFO - Iter(train) [ 78000/120000] base_lr: 5.6057e-05 lr: 6.9143e-06 eta: 11:22:41 time: 0.9753 data_time: 0.0145 memory: 8153 grad_norm: 0.0178 loss: 0.0053 semantic_segmentation_loss_cls: 0.0053 +2023/11/28 07:58:16 - mmengine - INFO - Saving checkpoint at 78000 iterations +2023/11/28 08:06:29 - mmengine - INFO - Iter(train) [ 78500/120000] base_lr: 5.4906e-05 lr: 6.8097e-06 eta: 11:14:45 time: 0.9751 data_time: 0.0144 memory: 8153 grad_norm: 0.0177 loss: 0.0053 semantic_segmentation_loss_cls: 0.0053 +2023/11/28 08:14:33 - mmengine - INFO - Exp name: univision_single_semseg_base_20231128_025431 +2023/11/28 08:14:33 - mmengine - INFO - Iter(train) [ 79000/120000] base_lr: 5.3764e-05 lr: 6.7058e-06 eta: 11:06:29 time: 0.9752 data_time: 0.0144 memory: 8153 grad_norm: 0.0176 loss: 0.0053 semantic_segmentation_loss_cls: 0.0053 +2023/11/28 08:14:33 - mmengine - INFO - Saving checkpoint at 79000 iterations +2023/11/28 08:22:46 - mmengine - INFO - Iter(train) [ 79500/120000] base_lr: 5.2629e-05 lr: 6.6026e-06 eta: 10:58:33 time: 0.9771 data_time: 0.0164 memory: 8153 grad_norm: 0.0174 loss: 0.0053 semantic_segmentation_loss_cls: 0.0053 +2023/11/28 08:30:50 - mmengine - INFO - Exp name: univision_single_semseg_base_20231128_025431 +2023/11/28 08:30:50 - mmengine - INFO - Iter(train) [ 80000/120000] base_lr: 5.1502e-05 lr: 6.5002e-06 eta: 10:50:17 time: 0.9771 data_time: 0.0164 memory: 8153 grad_norm: 0.0172 loss: 0.0053 semantic_segmentation_loss_cls: 0.0053 +2023/11/28 08:30:50 - mmengine - INFO - Saving checkpoint at 80000 iterations +2023/11/28 08:34:11 - mmengine - INFO - per class results: +2023/11/28 08:34:11 - mmengine - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 76.43 | 89.79 | +| building | 81.06 | 91.78 | +| sky | 93.36 | 97.9 | +| floor | 80.9 | 90.58 | +| tree | 73.0 | 87.23 | +| ceiling | 83.59 | 94.36 | +| road | 84.32 | 89.76 | +| bed | 87.5 | 94.81 | +| windowpane | 62.05 | 75.55 | +| grass | 66.85 | 81.52 | +| cabinet | 61.34 | 74.62 | +| sidewalk | 67.47 | 81.98 | +| person | 78.61 | 90.69 | +| earth | 37.76 | 52.23 | +| door | 48.4 | 57.48 | +| table | 61.22 | 75.9 | +| mountain | 53.57 | 66.98 | +| plant | 49.92 | 62.17 | +| curtain | 72.12 | 82.27 | +| chair | 56.72 | 69.87 | +| car | 81.74 | 90.03 | +| water | 51.23 | 67.71 | +| painting | 72.34 | 85.58 | +| sofa | 65.15 | 80.62 | +| shelf | 45.7 | 66.2 | +| house | 48.79 | 67.9 | +| sea | 47.65 | 71.03 | +| mirror | 66.39 | 74.69 | +| rug | 63.64 | 69.52 | +| field | 28.14 | 49.03 | +| armchair | 43.69 | 60.7 | +| seat | 60.44 | 78.75 | +| fence | 42.08 | 57.3 | +| desk | 49.97 | 66.93 | +| rock | 36.64 | 52.23 | +| wardrobe | 51.82 | 63.84 | +| lamp | 62.34 | 72.9 | +| bathtub | 80.29 | 84.74 | +| railing | 32.31 | 45.49 | +| cushion | 60.92 | 74.04 | +| base | 26.36 | 34.08 | +| box | 22.72 | 30.67 | +| column | 49.34 | 59.06 | +| signboard | 35.85 | 46.27 | +| chest of drawers | 37.83 | 55.54 | +| counter | 21.54 | 31.15 | +| sand | 48.92 | 60.32 | +| sink | 69.76 | 79.74 | +| skyscraper | 45.45 | 52.31 | +| fireplace | 72.9 | 87.73 | +| refrigerator | 71.89 | 80.49 | +| grandstand | 36.46 | 66.85 | +| path | 27.79 | 40.71 | +| stairs | 28.42 | 38.12 | +| runway | 75.38 | 86.22 | +| case | 42.9 | 55.32 | +| pool table | 91.63 | 94.78 | +| pillow | 56.28 | 67.41 | +| screen door | 67.52 | 70.98 | +| stairway | 30.18 | 35.36 | +| river | 13.36 | 27.87 | +| bridge | 34.17 | 45.47 | +| bookcase | 38.05 | 52.09 | +| blind | 37.85 | 42.34 | +| coffee table | 64.07 | 76.72 | +| toilet | 85.37 | 89.52 | +| flower | 39.41 | 55.29 | +| book | 45.9 | 61.28 | +| hill | 5.68 | 8.74 | +| bench | 39.01 | 46.75 | +| countertop | 51.42 | 66.25 | +| stove | 77.63 | 83.73 | +| palm | 46.14 | 63.54 | +| kitchen island | 39.26 | 75.9 | +| computer | 65.42 | 73.35 | +| swivel chair | 38.87 | 50.86 | +| boat | 42.28 | 51.28 | +| bar | 25.67 | 30.19 | +| arcade machine | 38.32 | 40.12 | +| hovel | 6.93 | 8.1 | +| bus | 83.53 | 93.53 | +| towel | 65.79 | 74.23 | +| light | 47.14 | 54.95 | +| truck | 30.63 | 41.1 | +| tower | 23.84 | 38.89 | +| chandelier | 69.19 | 81.53 | +| awning | 26.62 | 30.23 | +| streetlight | 27.84 | 35.36 | +| booth | 48.46 | 57.35 | +| television receiver | 57.18 | 84.66 | +| airplane | 52.99 | 63.98 | +| dirt track | 1.06 | 2.51 | +| apparel | 36.78 | 47.11 | +| pole | 22.31 | 28.8 | +| land | 0.0 | 0.0 | +| bannister | 11.81 | 15.13 | +| escalator | 35.45 | 46.6 | +| ottoman | 46.72 | 62.52 | +| bottle | 25.37 | 31.43 | +| buffet | 41.7 | 43.7 | +| poster | 27.41 | 32.71 | +| stage | 14.35 | 26.72 | +| van | 38.21 | 50.17 | +| ship | 59.25 | 88.79 | +| fountain | 7.34 | 7.7 | +| conveyer belt | 62.31 | 88.84 | +| canopy | 13.69 | 15.16 | +| washer | 69.28 | 73.2 | +| plaything | 19.93 | 23.99 | +| swimming pool | 51.63 | 54.24 | +| stool | 45.91 | 58.8 | +| barrel | 45.65 | 85.03 | +| basket | 33.1 | 46.12 | +| waterfall | 42.87 | 53.43 | +| tent | 89.66 | 97.38 | +| bag | 9.84 | 12.2 | +| minibike | 64.33 | 79.28 | +| cradle | 79.93 | 96.25 | +| oven | 42.37 | 52.85 | +| ball | 43.07 | 57.9 | +| food | 51.15 | 62.08 | +| step | 15.61 | 18.35 | +| tank | 46.0 | 55.75 | +| trade name | 27.92 | 34.45 | +| microwave | 39.15 | 42.08 | +| pot | 52.19 | 59.78 | +| animal | 49.47 | 51.95 | +| bicycle | 55.21 | 72.89 | +| lake | 54.33 | 59.47 | +| dishwasher | 66.1 | 72.92 | +| screen | 69.42 | 85.63 | +| blanket | 15.15 | 17.54 | +| sculpture | 63.9 | 74.98 | +| hood | 60.27 | 63.52 | +| sconce | 45.91 | 54.41 | +| vase | 39.25 | 55.99 | +| traffic light | 30.75 | 45.47 | +| tray | 13.35 | 18.37 | +| ashcan | 41.52 | 51.42 | +| fan | 59.05 | 69.66 | +| pier | 43.23 | 81.25 | +| crt screen | 4.6 | 6.14 | +| plate | 52.27 | 69.15 | +| monitor | 49.29 | 62.59 | +| bulletin board | 27.79 | 30.79 | +| shower | 6.19 | 12.16 | +| radiator | 49.5 | 52.94 | +| glass | 15.33 | 17.22 | +| clock | 21.01 | 24.63 | +| flag | 25.02 | 26.91 | ++---------------------+-------+-------+ +2023/11/28 08:34:11 - mmengine - INFO - Iter(val) [250/250] aAcc: 82.5000 mIoU: 47.1100 mAcc: 57.9600 data_time: 0.0018 time: 0.7632 +2023/11/28 08:42:15 - mmengine - INFO - Iter(train) [ 80500/120000] base_lr: 5.0384e-05 lr: 6.3986e-06 eta: 10:42:04 time: 0.9751 data_time: 0.0144 memory: 8153 grad_norm: 0.0170 loss: 0.0052 semantic_segmentation_loss_cls: 0.0052 +2023/11/28 08:50:19 - mmengine - INFO - Exp name: univision_single_semseg_base_20231128_025431 +2023/11/28 08:50:19 - mmengine - INFO - Iter(train) [ 81000/120000] base_lr: 4.9275e-05 lr: 6.2977e-06 eta: 10:33:49 time: 0.9749 data_time: 0.0144 memory: 8153 grad_norm: 0.0169 loss: 0.0052 semantic_segmentation_loss_cls: 0.0052 +2023/11/28 08:50:19 - mmengine - INFO - Saving checkpoint at 81000 iterations +2023/11/28 08:58:32 - mmengine - INFO - Iter(train) [ 81500/120000] base_lr: 4.8174e-05 lr: 6.1977e-06 eta: 10:25:52 time: 0.9751 data_time: 0.0144 memory: 8153 grad_norm: 0.0169 loss: 0.0052 semantic_segmentation_loss_cls: 0.0052 +2023/11/28 09:06:36 - mmengine - INFO - Exp name: univision_single_semseg_base_20231128_025431 +2023/11/28 09:06:36 - mmengine - INFO - Iter(train) [ 82000/120000] base_lr: 4.7083e-05 lr: 6.0984e-06 eta: 10:17:38 time: 0.9749 data_time: 0.0144 memory: 8153 grad_norm: 0.0165 loss: 0.0052 semantic_segmentation_loss_cls: 0.0052 +2023/11/28 09:06:36 - mmengine - INFO - Saving checkpoint at 82000 iterations +2023/11/28 09:14:50 - mmengine - INFO - Iter(train) [ 82500/120000] base_lr: 4.6001e-05 lr: 6.0001e-06 eta: 10:09:40 time: 0.9751 data_time: 0.0145 memory: 8153 grad_norm: 0.0164 loss: 0.0052 semantic_segmentation_loss_cls: 0.0052 +2023/11/28 09:22:54 - mmengine - INFO - Exp name: univision_single_semseg_base_20231128_025431 +2023/11/28 09:22:54 - mmengine - INFO - Iter(train) [ 83000/120000] base_lr: 4.4928e-05 lr: 5.9025e-06 eta: 10:01:26 time: 0.9751 data_time: 0.0145 memory: 8153 grad_norm: 0.0163 loss: 0.0052 semantic_segmentation_loss_cls: 0.0052 +2023/11/28 09:22:54 - mmengine - INFO - Saving checkpoint at 83000 iterations +2023/11/28 09:31:07 - mmengine - INFO - Iter(train) [ 83500/120000] base_lr: 4.3865e-05 lr: 5.8059e-06 eta: 9:53:26 time: 0.9750 data_time: 0.0145 memory: 8153 grad_norm: 0.0162 loss: 0.0051 semantic_segmentation_loss_cls: 0.0051 +2023/11/28 09:39:11 - mmengine - INFO - Exp name: univision_single_semseg_base_20231128_025431 +2023/11/28 09:39:11 - mmengine - INFO - Iter(train) [ 84000/120000] base_lr: 4.2811e-05 lr: 5.7101e-06 eta: 9:45:14 time: 0.9752 data_time: 0.0145 memory: 8153 grad_norm: 0.0163 loss: 0.0051 semantic_segmentation_loss_cls: 0.0051 +2023/11/28 09:39:11 - mmengine - INFO - Saving checkpoint at 84000 iterations +2023/11/28 09:47:24 - mmengine - INFO - Iter(train) [ 84500/120000] base_lr: 4.1768e-05 lr: 5.6153e-06 eta: 9:37:14 time: 0.9772 data_time: 0.0166 memory: 8153 grad_norm: 0.0163 loss: 0.0051 semantic_segmentation_loss_cls: 0.0051 +2023/11/28 09:55:29 - mmengine - INFO - Exp name: univision_single_semseg_base_20231128_025431 +2023/11/28 09:55:29 - mmengine - INFO - Iter(train) [ 85000/120000] base_lr: 4.0735e-05 lr: 5.5213e-06 eta: 9:29:01 time: 0.9774 data_time: 0.0166 memory: 8153 grad_norm: 0.0162 loss: 0.0051 semantic_segmentation_loss_cls: 0.0051 +2023/11/28 09:55:29 - mmengine - INFO - Saving checkpoint at 85000 iterations +2023/11/28 09:58:50 - mmengine - INFO - per class results: +2023/11/28 09:58:50 - mmengine - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 77.3 | 89.14 | +| building | 81.95 | 92.5 | +| sky | 93.49 | 97.92 | +| floor | 80.9 | 90.97 | +| tree | 72.78 | 87.32 | +| ceiling | 84.13 | 94.58 | +| road | 84.64 | 91.93 | +| bed | 86.57 | 95.66 | +| windowpane | 62.1 | 78.91 | +| grass | 69.16 | 82.19 | +| cabinet | 60.19 | 73.85 | +| sidewalk | 67.34 | 77.54 | +| person | 79.11 | 91.17 | +| earth | 39.78 | 55.17 | +| door | 50.91 | 61.68 | +| table | 59.98 | 75.51 | +| mountain | 55.13 | 70.28 | +| plant | 49.65 | 61.14 | +| curtain | 72.0 | 83.14 | +| chair | 56.95 | 69.43 | +| car | 81.73 | 90.91 | +| water | 52.61 | 67.58 | +| painting | 69.48 | 87.83 | +| sofa | 64.08 | 78.6 | +| shelf | 46.21 | 63.89 | +| house | 47.69 | 64.18 | +| sea | 49.39 | 71.02 | +| mirror | 65.95 | 75.88 | +| rug | 64.32 | 70.02 | +| field | 30.84 | 49.63 | +| armchair | 42.59 | 60.19 | +| seat | 60.26 | 78.45 | +| fence | 42.55 | 57.45 | +| desk | 48.01 | 67.81 | +| rock | 33.63 | 52.96 | +| wardrobe | 49.63 | 65.87 | +| lamp | 61.39 | 74.33 | +| bathtub | 79.41 | 84.0 | +| railing | 32.94 | 47.28 | +| cushion | 60.13 | 70.99 | +| base | 22.36 | 27.83 | +| box | 25.58 | 34.39 | +| column | 47.96 | 54.29 | +| signboard | 36.89 | 48.57 | +| chest of drawers | 38.73 | 55.78 | +| counter | 22.76 | 33.46 | +| sand | 47.78 | 53.86 | +| sink | 71.94 | 80.42 | +| skyscraper | 47.26 | 54.93 | +| fireplace | 72.42 | 92.03 | +| refrigerator | 69.12 | 78.32 | +| grandstand | 43.07 | 65.99 | +| path | 29.89 | 42.07 | +| stairs | 31.92 | 41.73 | +| runway | 77.18 | 85.7 | +| case | 45.31 | 63.4 | +| pool table | 90.98 | 95.03 | +| pillow | 57.53 | 70.81 | +| screen door | 63.84 | 66.68 | +| stairway | 29.73 | 35.83 | +| river | 13.11 | 28.72 | +| bridge | 37.02 | 46.87 | +| bookcase | 40.26 | 61.95 | +| blind | 37.34 | 40.05 | +| coffee table | 61.85 | 79.23 | +| toilet | 85.53 | 89.48 | +| flower | 38.03 | 53.77 | +| book | 45.45 | 59.49 | +| hill | 6.46 | 9.89 | +| bench | 38.64 | 45.7 | +| countertop | 50.91 | 66.57 | +| stove | 79.65 | 85.11 | +| palm | 47.25 | 67.72 | +| kitchen island | 40.06 | 71.64 | +| computer | 61.41 | 70.18 | +| swivel chair | 39.08 | 51.74 | +| boat | 44.14 | 49.2 | +| bar | 24.07 | 27.96 | +| arcade machine | 55.2 | 58.98 | +| hovel | 6.23 | 7.77 | +| bus | 87.81 | 91.81 | +| towel | 64.14 | 74.29 | +| light | 49.69 | 58.88 | +| truck | 23.18 | 34.2 | +| tower | 25.89 | 38.03 | +| chandelier | 67.67 | 79.27 | +| awning | 26.81 | 31.15 | +| streetlight | 31.51 | 43.24 | +| booth | 47.38 | 53.29 | +| television receiver | 65.34 | 81.58 | +| airplane | 56.86 | 64.21 | +| dirt track | 7.95 | 18.56 | +| apparel | 30.11 | 40.06 | +| pole | 22.51 | 31.19 | +| land | 0.57 | 0.7 | +| bannister | 14.7 | 18.99 | +| escalator | 31.51 | 41.06 | +| ottoman | 43.67 | 53.48 | +| bottle | 26.02 | 31.69 | +| buffet | 53.43 | 58.69 | +| poster | 11.79 | 12.63 | +| stage | 14.51 | 27.87 | +| van | 37.2 | 53.32 | +| ship | 60.45 | 85.97 | +| fountain | 14.99 | 16.11 | +| conveyer belt | 52.85 | 88.07 | +| canopy | 17.68 | 19.27 | +| washer | 70.37 | 72.83 | +| plaything | 25.37 | 30.97 | +| swimming pool | 68.13 | 70.7 | +| stool | 46.43 | 59.47 | +| barrel | 51.46 | 65.68 | +| basket | 32.64 | 43.47 | +| waterfall | 41.95 | 52.59 | +| tent | 86.31 | 97.81 | +| bag | 9.22 | 10.86 | +| minibike | 62.63 | 72.93 | +| cradle | 73.58 | 95.23 | +| oven | 50.66 | 59.48 | +| ball | 39.3 | 45.6 | +| food | 46.31 | 53.25 | +| step | 7.51 | 9.26 | +| tank | 49.32 | 57.78 | +| trade name | 23.05 | 26.03 | +| microwave | 39.15 | 42.07 | +| pot | 50.16 | 57.65 | +| animal | 49.53 | 52.46 | +| bicycle | 56.57 | 77.5 | +| lake | 57.04 | 65.92 | +| dishwasher | 68.57 | 72.54 | +| screen | 63.79 | 78.74 | +| blanket | 11.62 | 12.87 | +| sculpture | 61.14 | 76.81 | +| hood | 62.01 | 68.22 | +| sconce | 46.59 | 61.47 | +| vase | 38.33 | 56.84 | +| traffic light | 34.1 | 46.49 | +| tray | 14.21 | 19.97 | +| ashcan | 37.84 | 51.62 | +| fan | 59.7 | 70.7 | +| pier | 48.57 | 82.5 | +| crt screen | 4.0 | 7.83 | +| plate | 54.76 | 69.17 | +| monitor | 34.82 | 40.05 | +| bulletin board | 26.86 | 31.76 | +| shower | 9.31 | 12.41 | +| radiator | 45.03 | 49.1 | +| glass | 15.5 | 17.14 | +| clock | 22.78 | 30.01 | +| flag | 28.77 | 33.26 | ++---------------------+-------+-------+ +2023/11/28 09:58:50 - mmengine - INFO - Iter(val) [250/250] aAcc: 82.7600 mIoU: 47.3500 mAcc: 58.0600 data_time: 0.0018 time: 0.7636 +2023/11/28 10:06:54 - mmengine - INFO - Iter(train) [ 85500/120000] base_lr: 3.9712e-05 lr: 5.4283e-06 eta: 9:20:50 time: 0.9752 data_time: 0.0146 memory: 8153 grad_norm: 0.0160 loss: 0.0051 semantic_segmentation_loss_cls: 0.0051 +2023/11/28 10:14:58 - mmengine - INFO - Exp name: univision_single_semseg_base_20231128_025431 +2023/11/28 10:14:58 - mmengine - INFO - Iter(train) [ 86000/120000] base_lr: 3.8699e-05 lr: 5.3363e-06 eta: 9:12:37 time: 0.9753 data_time: 0.0146 memory: 8153 grad_norm: 0.0159 loss: 0.0050 semantic_segmentation_loss_cls: 0.0050 +2023/11/28 10:14:58 - mmengine - INFO - Saving checkpoint at 86000 iterations +2023/11/28 10:23:11 - mmengine - INFO - Iter(train) [ 86500/120000] base_lr: 3.7698e-05 lr: 5.2452e-06 eta: 9:04:36 time: 0.9752 data_time: 0.0146 memory: 8153 grad_norm: 0.0158 loss: 0.0050 semantic_segmentation_loss_cls: 0.0050 +2023/11/28 10:31:15 - mmengine - INFO - Exp name: univision_single_semseg_base_20231128_025431 +2023/11/28 10:31:15 - mmengine - INFO - Iter(train) [ 87000/120000] base_lr: 3.6707e-05 lr: 5.1551e-06 eta: 8:56:24 time: 0.9751 data_time: 0.0146 memory: 8153 grad_norm: 0.0158 loss: 0.0050 semantic_segmentation_loss_cls: 0.0050 +2023/11/28 10:31:15 - mmengine - INFO - Saving checkpoint at 87000 iterations +2023/11/28 10:39:29 - mmengine - INFO - Iter(train) [ 87500/120000] base_lr: 3.5727e-05 lr: 5.0661e-06 eta: 8:48:23 time: 0.9754 data_time: 0.0146 memory: 8153 grad_norm: 0.0156 loss: 0.0050 semantic_segmentation_loss_cls: 0.0050 +2023/11/28 10:47:33 - mmengine - INFO - Exp name: univision_single_semseg_base_20231128_025431 +2023/11/28 10:47:33 - mmengine - INFO - Iter(train) [ 88000/120000] base_lr: 3.4758e-05 lr: 4.9780e-06 eta: 8:40:11 time: 0.9752 data_time: 0.0147 memory: 8153 grad_norm: 0.0154 loss: 0.0050 semantic_segmentation_loss_cls: 0.0050 +2023/11/28 10:47:33 - mmengine - INFO - Saving checkpoint at 88000 iterations +2023/11/28 10:55:46 - mmengine - INFO - Iter(train) [ 88500/120000] base_lr: 3.3801e-05 lr: 4.8910e-06 eta: 8:32:10 time: 0.9754 data_time: 0.0146 memory: 8153 grad_norm: 0.0155 loss: 0.0049 semantic_segmentation_loss_cls: 0.0049 +2023/11/28 11:03:50 - mmengine - INFO - Exp name: univision_single_semseg_base_20231128_025431 +2023/11/28 11:03:50 - mmengine - INFO - Iter(train) [ 89000/120000] base_lr: 3.2855e-05 lr: 4.8050e-06 eta: 8:23:58 time: 0.9751 data_time: 0.0146 memory: 8153 grad_norm: 0.0154 loss: 0.0049 semantic_segmentation_loss_cls: 0.0049 +2023/11/28 11:03:50 - mmengine - INFO - Saving checkpoint at 89000 iterations +2023/11/28 11:12:03 - mmengine - INFO - Iter(train) [ 89500/120000] base_lr: 3.1921e-05 lr: 4.7201e-06 eta: 8:15:56 time: 0.9772 data_time: 0.0167 memory: 8153 grad_norm: 0.0153 loss: 0.0049 semantic_segmentation_loss_cls: 0.0049 +2023/11/28 11:20:08 - mmengine - INFO - Exp name: univision_single_semseg_base_20231128_025431 +2023/11/28 11:20:08 - mmengine - INFO - Iter(train) [ 90000/120000] base_lr: 3.0998e-05 lr: 4.6362e-06 eta: 8:07:45 time: 0.9773 data_time: 0.0167 memory: 8153 grad_norm: 0.0153 loss: 0.0049 semantic_segmentation_loss_cls: 0.0049 +2023/11/28 11:20:08 - mmengine - INFO - Saving checkpoint at 90000 iterations +2023/11/28 11:23:29 - mmengine - INFO - per class results: +2023/11/28 11:23:29 - mmengine - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 76.79 | 88.89 | +| building | 81.56 | 93.16 | +| sky | 93.38 | 98.11 | +| floor | 80.86 | 90.26 | +| tree | 72.82 | 86.56 | +| ceiling | 83.86 | 94.22 | +| road | 84.78 | 91.87 | +| bed | 88.05 | 94.16 | +| windowpane | 61.71 | 78.56 | +| grass | 68.68 | 84.24 | +| cabinet | 60.8 | 73.42 | +| sidewalk | 66.83 | 78.83 | +| person | 79.11 | 91.49 | +| earth | 39.25 | 53.64 | +| door | 51.13 | 61.37 | +| table | 60.28 | 75.15 | +| mountain | 55.08 | 70.99 | +| plant | 49.55 | 59.88 | +| curtain | 72.53 | 84.21 | +| chair | 58.03 | 71.1 | +| car | 81.72 | 90.67 | +| water | 50.66 | 65.87 | +| painting | 71.08 | 85.78 | +| sofa | 63.51 | 75.85 | +| shelf | 45.81 | 64.18 | +| house | 42.73 | 54.71 | +| sea | 46.63 | 73.92 | +| mirror | 66.12 | 78.58 | +| rug | 63.7 | 74.28 | +| field | 24.71 | 36.64 | +| armchair | 44.97 | 68.1 | +| seat | 61.86 | 81.81 | +| fence | 44.41 | 59.82 | +| desk | 48.37 | 71.54 | +| rock | 36.02 | 57.15 | +| wardrobe | 52.86 | 65.87 | +| lamp | 61.8 | 73.25 | +| bathtub | 81.36 | 85.05 | +| railing | 33.04 | 44.61 | +| cushion | 61.11 | 73.78 | +| base | 23.17 | 29.34 | +| box | 23.37 | 29.89 | +| column | 47.02 | 53.66 | +| signboard | 36.55 | 46.74 | +| chest of drawers | 37.19 | 57.9 | +| counter | 19.42 | 26.77 | +| sand | 42.83 | 54.04 | +| sink | 68.21 | 79.98 | +| skyscraper | 48.92 | 57.55 | +| fireplace | 71.35 | 86.05 | +| refrigerator | 70.95 | 80.66 | +| grandstand | 42.34 | 70.37 | +| path | 29.03 | 40.87 | +| stairs | 28.73 | 40.43 | +| runway | 74.05 | 87.23 | +| case | 42.81 | 57.57 | +| pool table | 91.41 | 95.35 | +| pillow | 59.48 | 70.54 | +| screen door | 74.0 | 78.58 | +| stairway | 28.91 | 36.58 | +| river | 15.66 | 26.15 | +| bridge | 33.82 | 41.74 | +| bookcase | 37.78 | 53.58 | +| blind | 40.62 | 45.86 | +| coffee table | 62.85 | 79.96 | +| toilet | 84.12 | 89.71 | +| flower | 38.14 | 55.32 | +| book | 46.65 | 62.51 | +| hill | 5.38 | 7.75 | +| bench | 37.19 | 45.52 | +| countertop | 51.24 | 64.99 | +| stove | 78.39 | 85.46 | +| palm | 48.74 | 70.09 | +| kitchen island | 37.8 | 76.28 | +| computer | 64.61 | 73.49 | +| swivel chair | 40.0 | 50.04 | +| boat | 43.0 | 50.95 | +| bar | 15.78 | 18.06 | +| arcade machine | 38.87 | 39.92 | +| hovel | 6.95 | 8.32 | +| bus | 88.81 | 92.1 | +| towel | 63.57 | 77.38 | +| light | 48.8 | 55.55 | +| truck | 24.64 | 37.66 | +| tower | 27.61 | 38.21 | +| chandelier | 67.54 | 82.94 | +| awning | 30.05 | 35.21 | +| streetlight | 28.59 | 37.36 | +| booth | 44.31 | 48.55 | +| television receiver | 63.01 | 83.59 | +| airplane | 55.82 | 64.55 | +| dirt track | 14.8 | 22.15 | +| apparel | 34.11 | 43.75 | +| pole | 23.44 | 29.65 | +| land | 0.53 | 0.69 | +| bannister | 12.58 | 15.97 | +| escalator | 36.51 | 48.38 | +| ottoman | 48.08 | 58.41 | +| bottle | 28.92 | 37.92 | +| buffet | 49.51 | 57.91 | +| poster | 25.12 | 29.01 | +| stage | 13.67 | 26.85 | +| van | 38.96 | 51.89 | +| ship | 58.36 | 82.71 | +| fountain | 3.87 | 4.21 | +| conveyer belt | 69.1 | 86.78 | +| canopy | 17.96 | 20.66 | +| washer | 71.0 | 74.26 | +| plaything | 25.54 | 33.25 | +| swimming pool | 64.69 | 72.31 | +| stool | 45.15 | 59.74 | +| barrel | 45.75 | 74.48 | +| basket | 32.99 | 41.81 | +| waterfall | 41.05 | 53.43 | +| tent | 89.34 | 97.13 | +| bag | 9.22 | 11.21 | +| minibike | 56.86 | 69.19 | +| cradle | 76.11 | 95.27 | +| oven | 45.53 | 55.96 | +| ball | 43.44 | 57.86 | +| food | 49.95 | 59.4 | +| step | 13.54 | 18.57 | +| tank | 44.61 | 54.19 | +| trade name | 27.12 | 32.13 | +| microwave | 39.01 | 41.85 | +| pot | 49.92 | 57.75 | +| animal | 48.34 | 50.76 | +| bicycle | 55.87 | 72.85 | +| lake | 58.91 | 65.36 | +| dishwasher | 66.78 | 70.27 | +| screen | 61.29 | 87.18 | +| blanket | 11.31 | 12.88 | +| sculpture | 62.39 | 75.12 | +| hood | 60.75 | 64.56 | +| sconce | 44.42 | 50.6 | +| vase | 34.09 | 47.33 | +| traffic light | 35.06 | 48.44 | +| tray | 14.82 | 21.95 | +| ashcan | 33.42 | 42.73 | +| fan | 58.1 | 66.33 | +| pier | 44.08 | 77.13 | +| crt screen | 3.23 | 5.6 | +| plate | 53.69 | 71.94 | +| monitor | 36.69 | 43.55 | +| bulletin board | 32.54 | 37.91 | +| shower | 7.46 | 11.86 | +| radiator | 49.1 | 52.55 | +| glass | 14.45 | 15.79 | +| clock | 21.64 | 26.38 | +| flag | 28.01 | 32.02 | ++---------------------+-------+-------+ +2023/11/28 11:23:29 - mmengine - INFO - Iter(val) [250/250] aAcc: 82.6700 mIoU: 47.2000 mAcc: 58.0600 data_time: 0.0020 time: 0.7628 +2023/11/28 11:31:33 - mmengine - INFO - Iter(train) [ 90500/120000] base_lr: 3.0088e-05 lr: 4.5534e-06 eta: 7:59:34 time: 0.9752 data_time: 0.0146 memory: 8153 grad_norm: 0.0153 loss: 0.0049 semantic_segmentation_loss_cls: 0.0049 +2023/11/28 11:39:37 - mmengine - INFO - Exp name: univision_single_semseg_base_20231128_025431 +2023/11/28 11:39:37 - mmengine - INFO - Iter(train) [ 91000/120000] base_lr: 2.9190e-05 lr: 4.4718e-06 eta: 7:51:23 time: 0.9754 data_time: 0.0146 memory: 8153 grad_norm: 0.0152 loss: 0.0049 semantic_segmentation_loss_cls: 0.0049 +2023/11/28 11:39:37 - mmengine - INFO - Saving checkpoint at 91000 iterations +2023/11/28 11:47:50 - mmengine - INFO - Iter(train) [ 91500/120000] base_lr: 2.8304e-05 lr: 4.3913e-06 eta: 7:43:20 time: 0.9752 data_time: 0.0146 memory: 8153 grad_norm: 0.0152 loss: 0.0049 semantic_segmentation_loss_cls: 0.0049 +2023/11/28 11:55:55 - mmengine - INFO - Exp name: univision_single_semseg_base_20231128_025431 +2023/11/28 11:55:55 - mmengine - INFO - Iter(train) [ 92000/120000] base_lr: 2.7430e-05 lr: 4.3119e-06 eta: 7:35:09 time: 0.9753 data_time: 0.0146 memory: 8153 grad_norm: 0.0150 loss: 0.0049 semantic_segmentation_loss_cls: 0.0049 +2023/11/28 11:55:55 - mmengine - INFO - Saving checkpoint at 92000 iterations +2023/11/28 12:04:08 - mmengine - INFO - Iter(train) [ 92500/120000] base_lr: 2.6570e-05 lr: 4.2336e-06 eta: 7:27:06 time: 0.9752 data_time: 0.0145 memory: 8153 grad_norm: 0.0147 loss: 0.0048 semantic_segmentation_loss_cls: 0.0048 +2023/11/28 12:12:12 - mmengine - INFO - Exp name: univision_single_semseg_base_20231128_025431 +2023/11/28 12:12:12 - mmengine - INFO - Iter(train) [ 93000/120000] base_lr: 2.5721e-05 lr: 4.1565e-06 eta: 7:18:56 time: 0.9753 data_time: 0.0145 memory: 8153 grad_norm: 0.0148 loss: 0.0048 semantic_segmentation_loss_cls: 0.0048 +2023/11/28 12:12:12 - mmengine - INFO - Saving checkpoint at 93000 iterations +2023/11/28 12:20:26 - mmengine - INFO - Iter(train) [ 93500/120000] base_lr: 2.4886e-05 lr: 4.0806e-06 eta: 7:10:52 time: 0.9754 data_time: 0.0146 memory: 8153 grad_norm: 0.0148 loss: 0.0048 semantic_segmentation_loss_cls: 0.0048 +2023/11/28 12:28:30 - mmengine - INFO - Exp name: univision_single_semseg_base_20231128_025431 +2023/11/28 12:28:30 - mmengine - INFO - Iter(train) [ 94000/120000] base_lr: 2.4064e-05 lr: 4.0058e-06 eta: 7:02:42 time: 0.9752 data_time: 0.0146 memory: 8153 grad_norm: 0.0147 loss: 0.0048 semantic_segmentation_loss_cls: 0.0048 +2023/11/28 12:28:30 - mmengine - INFO - Saving checkpoint at 94000 iterations +2023/11/28 12:36:43 - mmengine - INFO - Iter(train) [ 94500/120000] base_lr: 2.3255e-05 lr: 3.9323e-06 eta: 6:54:38 time: 0.9775 data_time: 0.0167 memory: 8153 grad_norm: 0.0147 loss: 0.0048 semantic_segmentation_loss_cls: 0.0048 +2023/11/28 12:44:47 - mmengine - INFO - Exp name: univision_single_semseg_base_20231128_025431 +2023/11/28 12:44:47 - mmengine - INFO - Iter(train) [ 95000/120000] base_lr: 2.2460e-05 lr: 3.8600e-06 eta: 6:46:28 time: 0.9774 data_time: 0.0167 memory: 8153 grad_norm: 0.0146 loss: 0.0048 semantic_segmentation_loss_cls: 0.0048 +2023/11/28 12:44:47 - mmengine - INFO - Saving checkpoint at 95000 iterations +2023/11/28 12:48:09 - mmengine - INFO - per class results: +2023/11/28 12:48:09 - mmengine - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 76.95 | 89.16 | +| building | 81.58 | 92.57 | +| sky | 93.61 | 97.95 | +| floor | 80.71 | 90.83 | +| tree | 73.06 | 87.35 | +| ceiling | 83.93 | 94.18 | +| road | 83.84 | 91.2 | +| bed | 88.21 | 95.48 | +| windowpane | 61.93 | 77.39 | +| grass | 67.45 | 83.1 | +| cabinet | 61.77 | 74.25 | +| sidewalk | 65.81 | 79.66 | +| person | 78.58 | 91.81 | +| earth | 38.54 | 49.56 | +| door | 51.1 | 61.53 | +| table | 60.75 | 74.21 | +| mountain | 55.21 | 71.3 | +| plant | 49.88 | 60.74 | +| curtain | 72.38 | 83.67 | +| chair | 58.07 | 71.36 | +| car | 81.4 | 90.59 | +| water | 40.24 | 47.61 | +| painting | 71.63 | 86.18 | +| sofa | 64.58 | 79.4 | +| shelf | 44.9 | 62.56 | +| house | 45.96 | 62.42 | +| sea | 47.5 | 87.94 | +| mirror | 66.95 | 77.31 | +| rug | 62.88 | 70.97 | +| field | 30.38 | 51.17 | +| armchair | 43.31 | 62.43 | +| seat | 61.48 | 78.4 | +| fence | 43.06 | 56.03 | +| desk | 52.01 | 70.99 | +| rock | 34.05 | 52.54 | +| wardrobe | 51.96 | 66.82 | +| lamp | 62.05 | 73.63 | +| bathtub | 80.73 | 84.4 | +| railing | 33.35 | 46.77 | +| cushion | 60.56 | 70.81 | +| base | 23.69 | 31.29 | +| box | 23.24 | 29.36 | +| column | 47.39 | 55.3 | +| signboard | 35.96 | 46.9 | +| chest of drawers | 42.15 | 61.27 | +| counter | 21.33 | 30.46 | +| sand | 47.86 | 57.59 | +| sink | 71.47 | 81.83 | +| skyscraper | 48.25 | 57.79 | +| fireplace | 73.23 | 90.55 | +| refrigerator | 72.51 | 79.97 | +| grandstand | 42.79 | 68.31 | +| path | 29.05 | 40.28 | +| stairs | 25.7 | 34.13 | +| runway | 70.68 | 87.13 | +| case | 42.81 | 57.12 | +| pool table | 91.96 | 95.6 | +| pillow | 58.68 | 70.78 | +| screen door | 73.71 | 75.3 | +| stairway | 26.01 | 36.68 | +| river | 13.13 | 30.93 | +| bridge | 35.39 | 42.21 | +| bookcase | 37.07 | 57.46 | +| blind | 37.87 | 41.64 | +| coffee table | 60.48 | 78.81 | +| toilet | 84.93 | 89.78 | +| flower | 37.22 | 53.44 | +| book | 47.64 | 65.34 | +| hill | 6.22 | 9.44 | +| bench | 38.4 | 45.21 | +| countertop | 53.32 | 64.28 | +| stove | 77.65 | 84.23 | +| palm | 48.42 | 68.48 | +| kitchen island | 37.79 | 79.7 | +| computer | 63.5 | 70.95 | +| swivel chair | 39.25 | 50.35 | +| boat | 41.8 | 50.68 | +| bar | 23.6 | 27.21 | +| arcade machine | 35.43 | 36.74 | +| hovel | 7.12 | 8.29 | +| bus | 90.49 | 94.28 | +| towel | 64.83 | 75.33 | +| light | 50.9 | 61.23 | +| truck | 28.78 | 36.29 | +| tower | 28.56 | 42.44 | +| chandelier | 66.79 | 76.13 | +| awning | 28.83 | 33.02 | +| streetlight | 30.85 | 39.29 | +| booth | 45.96 | 49.33 | +| television receiver | 57.76 | 84.47 | +| airplane | 57.69 | 65.26 | +| dirt track | 12.34 | 17.11 | +| apparel | 31.64 | 41.49 | +| pole | 24.75 | 33.62 | +| land | 0.48 | 0.62 | +| bannister | 14.57 | 18.81 | +| escalator | 33.25 | 42.39 | +| ottoman | 47.74 | 60.58 | +| bottle | 28.51 | 35.28 | +| buffet | 51.07 | 57.8 | +| poster | 34.69 | 41.1 | +| stage | 13.1 | 26.95 | +| van | 38.93 | 53.28 | +| ship | 57.77 | 84.35 | +| fountain | 14.32 | 15.51 | +| conveyer belt | 70.7 | 88.9 | +| canopy | 19.02 | 21.53 | +| washer | 71.69 | 74.36 | +| plaything | 23.3 | 30.63 | +| swimming pool | 50.15 | 63.81 | +| stool | 44.49 | 56.25 | +| barrel | 23.74 | 74.84 | +| basket | 34.56 | 45.19 | +| waterfall | 41.59 | 52.21 | +| tent | 76.18 | 97.79 | +| bag | 9.01 | 10.62 | +| minibike | 57.89 | 67.81 | +| cradle | 77.89 | 95.57 | +| oven | 42.95 | 54.94 | +| ball | 44.19 | 56.75 | +| food | 48.78 | 59.09 | +| step | 6.48 | 8.24 | +| tank | 45.98 | 54.5 | +| trade name | 31.41 | 38.79 | +| microwave | 37.73 | 40.34 | +| pot | 51.26 | 58.46 | +| animal | 50.89 | 54.02 | +| bicycle | 57.6 | 73.24 | +| lake | 50.25 | 60.85 | +| dishwasher | 66.58 | 70.0 | +| screen | 66.07 | 85.93 | +| blanket | 12.78 | 14.94 | +| sculpture | 60.05 | 77.7 | +| hood | 64.25 | 68.22 | +| sconce | 47.74 | 56.75 | +| vase | 34.69 | 46.89 | +| traffic light | 34.51 | 47.24 | +| tray | 13.71 | 19.08 | +| ashcan | 35.15 | 45.55 | +| fan | 58.03 | 68.83 | +| pier | 44.13 | 77.32 | +| crt screen | 3.66 | 5.49 | +| plate | 54.85 | 69.69 | +| monitor | 47.02 | 55.06 | +| bulletin board | 33.72 | 41.71 | +| shower | 6.59 | 10.52 | +| radiator | 48.28 | 51.61 | +| glass | 14.51 | 15.52 | +| clock | 21.3 | 27.15 | +| flag | 29.18 | 33.8 | ++---------------------+-------+-------+ +2023/11/28 12:48:09 - mmengine - INFO - Iter(val) [250/250] aAcc: 82.6200 mIoU: 47.1700 mAcc: 58.3500 data_time: 0.0019 time: 0.7629 +2023/11/28 12:56:13 - mmengine - INFO - Iter(train) [ 95500/120000] base_lr: 2.1677e-05 lr: 3.7889e-06 eta: 6:38:18 time: 0.9755 data_time: 0.0147 memory: 8153 grad_norm: 0.0145 loss: 0.0048 semantic_segmentation_loss_cls: 0.0048 +2023/11/28 13:04:17 - mmengine - INFO - Exp name: univision_single_semseg_base_20231128_025431 +2023/11/28 13:04:17 - mmengine - INFO - Iter(train) [ 96000/120000] base_lr: 2.0909e-05 lr: 3.7190e-06 eta: 6:30:08 time: 0.9753 data_time: 0.0147 memory: 8153 grad_norm: 0.0144 loss: 0.0048 semantic_segmentation_loss_cls: 0.0048 +2023/11/28 13:04:17 - mmengine - INFO - Saving checkpoint at 96000 iterations +2023/11/28 13:12:31 - mmengine - INFO - Iter(train) [ 96500/120000] base_lr: 2.0154e-05 lr: 3.6504e-06 eta: 6:22:04 time: 0.9755 data_time: 0.0147 memory: 8153 grad_norm: 0.0144 loss: 0.0048 semantic_segmentation_loss_cls: 0.0048 +2023/11/28 13:20:34 - mmengine - INFO - Exp name: univision_single_semseg_base_20231128_025431 +2023/11/28 13:20:34 - mmengine - INFO - Iter(train) [ 97000/120000] base_lr: 1.9413e-05 lr: 3.5830e-06 eta: 6:13:54 time: 0.9753 data_time: 0.0148 memory: 8153 grad_norm: 0.0142 loss: 0.0048 semantic_segmentation_loss_cls: 0.0048 +2023/11/28 13:20:34 - mmengine - INFO - Saving checkpoint at 97000 iterations +2023/11/28 13:28:48 - mmengine - INFO - Iter(train) [ 97500/120000] base_lr: 1.8686e-05 lr: 3.5169e-06 eta: 6:05:50 time: 0.9753 data_time: 0.0148 memory: 8153 grad_norm: 0.0141 loss: 0.0048 semantic_segmentation_loss_cls: 0.0048 +2023/11/28 13:36:52 - mmengine - INFO - Exp name: univision_single_semseg_base_20231128_025431 +2023/11/28 13:36:52 - mmengine - INFO - Iter(train) [ 98000/120000] base_lr: 1.7973e-05 lr: 3.4521e-06 eta: 5:57:40 time: 0.9754 data_time: 0.0148 memory: 8153 grad_norm: 0.0140 loss: 0.0047 semantic_segmentation_loss_cls: 0.0047 +2023/11/28 13:36:52 - mmengine - INFO - Saving checkpoint at 98000 iterations +2023/11/28 13:45:06 - mmengine - INFO - Iter(train) [ 98500/120000] base_lr: 1.7274e-05 lr: 3.3886e-06 eta: 5:49:35 time: 0.9753 data_time: 0.0148 memory: 8153 grad_norm: 0.0139 loss: 0.0047 semantic_segmentation_loss_cls: 0.0047 +2023/11/28 13:53:10 - mmengine - INFO - Exp name: univision_single_semseg_base_20231128_025431 +2023/11/28 13:53:10 - mmengine - INFO - Iter(train) [ 99000/120000] base_lr: 1.6590e-05 lr: 3.3264e-06 eta: 5:41:26 time: 0.9755 data_time: 0.0148 memory: 8153 grad_norm: 0.0139 loss: 0.0047 semantic_segmentation_loss_cls: 0.0047 +2023/11/28 13:53:10 - mmengine - INFO - Saving checkpoint at 99000 iterations +2023/11/28 14:01:23 - mmengine - INFO - Iter(train) [ 99500/120000] base_lr: 1.5920e-05 lr: 3.2655e-06 eta: 5:33:20 time: 0.9774 data_time: 0.0168 memory: 8153 grad_norm: 0.0138 loss: 0.0047 semantic_segmentation_loss_cls: 0.0047 +2023/11/28 14:09:27 - mmengine - INFO - Exp name: univision_single_semseg_base_20231128_025431 +2023/11/28 14:09:27 - mmengine - INFO - Iter(train) [100000/120000] base_lr: 1.5265e-05 lr: 3.2059e-06 eta: 5:25:11 time: 0.9774 data_time: 0.0168 memory: 8153 grad_norm: 0.0138 loss: 0.0047 semantic_segmentation_loss_cls: 0.0047 +2023/11/28 14:09:27 - mmengine - INFO - Saving checkpoint at 100000 iterations +2023/11/28 14:12:50 - mmengine - INFO - per class results: +2023/11/28 14:12:50 - mmengine - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 77.31 | 89.02 | +| building | 81.36 | 92.78 | +| sky | 93.63 | 97.83 | +| floor | 80.99 | 90.46 | +| tree | 73.09 | 86.98 | +| ceiling | 84.55 | 94.47 | +| road | 84.5 | 90.89 | +| bed | 88.0 | 95.73 | +| windowpane | 62.17 | 77.55 | +| grass | 68.21 | 82.64 | +| cabinet | 60.89 | 74.16 | +| sidewalk | 67.44 | 81.17 | +| person | 78.86 | 91.99 | +| earth | 39.69 | 53.15 | +| door | 51.31 | 62.3 | +| table | 60.77 | 75.45 | +| mountain | 54.85 | 69.93 | +| plant | 49.5 | 60.35 | +| curtain | 73.3 | 85.73 | +| chair | 57.98 | 71.6 | +| car | 81.77 | 90.2 | +| water | 49.82 | 64.69 | +| painting | 70.98 | 86.75 | +| sofa | 64.63 | 77.72 | +| shelf | 45.53 | 64.62 | +| house | 42.65 | 56.41 | +| sea | 48.98 | 80.17 | +| mirror | 68.16 | 79.07 | +| rug | 64.92 | 74.43 | +| field | 29.91 | 49.4 | +| armchair | 44.71 | 65.03 | +| seat | 61.11 | 79.81 | +| fence | 44.56 | 59.38 | +| desk | 49.16 | 67.51 | +| rock | 35.32 | 54.63 | +| wardrobe | 51.36 | 66.31 | +| lamp | 61.92 | 73.6 | +| bathtub | 79.57 | 82.99 | +| railing | 33.35 | 44.98 | +| cushion | 60.35 | 73.1 | +| base | 23.99 | 31.32 | +| box | 24.12 | 30.18 | +| column | 47.6 | 55.31 | +| signboard | 36.93 | 49.77 | +| chest of drawers | 38.67 | 54.67 | +| counter | 25.28 | 36.73 | +| sand | 46.21 | 53.84 | +| sink | 68.34 | 81.74 | +| skyscraper | 45.67 | 51.63 | +| fireplace | 73.06 | 89.32 | +| refrigerator | 71.42 | 81.05 | +| grandstand | 42.29 | 72.37 | +| path | 29.29 | 41.21 | +| stairs | 30.9 | 41.9 | +| runway | 73.81 | 86.85 | +| case | 43.08 | 53.89 | +| pool table | 92.2 | 95.98 | +| pillow | 58.32 | 68.28 | +| screen door | 64.61 | 68.39 | +| stairway | 30.11 | 35.93 | +| river | 19.16 | 28.27 | +| bridge | 42.9 | 53.05 | +| bookcase | 38.05 | 54.59 | +| blind | 37.23 | 40.7 | +| coffee table | 63.35 | 79.88 | +| toilet | 84.93 | 89.58 | +| flower | 36.92 | 55.88 | +| book | 47.89 | 66.25 | +| hill | 6.53 | 10.34 | +| bench | 37.96 | 45.3 | +| countertop | 52.47 | 64.81 | +| stove | 76.93 | 83.69 | +| palm | 47.59 | 66.38 | +| kitchen island | 36.6 | 75.87 | +| computer | 64.41 | 72.57 | +| swivel chair | 39.15 | 50.31 | +| boat | 46.04 | 51.4 | +| bar | 18.62 | 21.63 | +| arcade machine | 42.77 | 45.73 | +| hovel | 7.48 | 8.17 | +| bus | 90.95 | 94.44 | +| towel | 62.52 | 75.99 | +| light | 50.32 | 59.18 | +| truck | 24.51 | 41.92 | +| tower | 26.32 | 38.62 | +| chandelier | 66.09 | 78.98 | +| awning | 31.32 | 36.64 | +| streetlight | 31.6 | 42.11 | +| booth | 46.25 | 49.66 | +| television receiver | 65.31 | 84.94 | +| airplane | 56.86 | 65.01 | +| dirt track | 8.43 | 18.49 | +| apparel | 35.52 | 49.81 | +| pole | 24.89 | 35.28 | +| land | 0.54 | 0.7 | +| bannister | 14.25 | 19.1 | +| escalator | 34.37 | 43.79 | +| ottoman | 51.67 | 64.32 | +| bottle | 22.97 | 29.03 | +| buffet | 49.46 | 55.67 | +| poster | 33.55 | 39.8 | +| stage | 14.43 | 26.64 | +| van | 38.43 | 51.66 | +| ship | 60.73 | 86.16 | +| fountain | 6.64 | 6.98 | +| conveyer belt | 68.33 | 89.44 | +| canopy | 17.72 | 19.94 | +| washer | 70.85 | 73.12 | +| plaything | 22.94 | 31.46 | +| swimming pool | 66.83 | 69.6 | +| stool | 43.71 | 54.81 | +| barrel | 23.3 | 66.09 | +| basket | 36.02 | 47.92 | +| waterfall | 41.29 | 53.45 | +| tent | 75.74 | 97.82 | +| bag | 9.57 | 13.09 | +| minibike | 57.4 | 67.42 | +| cradle | 77.49 | 95.18 | +| oven | 41.7 | 57.09 | +| ball | 40.45 | 59.01 | +| food | 48.8 | 58.81 | +| step | 7.85 | 10.61 | +| tank | 41.71 | 53.62 | +| trade name | 26.98 | 32.35 | +| microwave | 39.41 | 42.1 | +| pot | 50.78 | 56.98 | +| animal | 50.25 | 53.62 | +| bicycle | 56.99 | 74.16 | +| lake | 55.57 | 62.32 | +| dishwasher | 66.32 | 73.09 | +| screen | 66.21 | 86.22 | +| blanket | 12.09 | 14.49 | +| sculpture | 61.38 | 76.4 | +| hood | 63.6 | 67.66 | +| sconce | 47.32 | 55.8 | +| vase | 36.66 | 50.39 | +| traffic light | 34.41 | 48.57 | +| tray | 14.03 | 19.27 | +| ashcan | 35.49 | 50.42 | +| fan | 58.74 | 67.94 | +| pier | 45.81 | 80.65 | +| crt screen | 3.94 | 7.11 | +| plate | 55.31 | 70.89 | +| monitor | 36.26 | 42.4 | +| bulletin board | 36.33 | 47.86 | +| shower | 7.7 | 12.32 | +| radiator | 50.16 | 55.04 | +| glass | 15.71 | 17.19 | +| clock | 20.2 | 24.34 | +| flag | 28.18 | 31.86 | ++---------------------+-------+-------+ +2023/11/28 14:12:50 - mmengine - INFO - Iter(val) [250/250] aAcc: 82.8100 mIoU: 47.3700 mAcc: 58.6300 data_time: 0.0019 time: 0.7696 +2023/11/28 15:39:34 - mmengine - INFO - Iter(train) [102500/120000] base_lr: 1.2211e-05 lr: 2.9282e-06 eta: 4:46:50 time: 0.9747 data_time: 0.0123 memory: 8153 grad_norm: 0.0136 loss: 0.0047 semantic_segmentation_loss_cls: 0.0047 +2023/11/28 15:47:47 - mmengine - INFO - Exp name: univision_single_semseg_base_20231128_153007 +2023/11/28 15:47:47 - mmengine - INFO - Iter(train) [103000/120000] base_lr: 1.1645e-05 lr: 2.8768e-06 eta: 4:38:48 time: 0.9767 data_time: 0.0123 memory: 8153 grad_norm: 0.0135 loss: 0.0047 semantic_segmentation_loss_cls: 0.0047 +2023/11/28 15:47:47 - mmengine - INFO - Saving checkpoint at 103000 iterations +2023/11/28 15:56:11 - mmengine - INFO - Iter(train) [103500/120000] base_lr: 1.1095e-05 lr: 2.8268e-06 eta: 4:32:43 time: 0.9793 data_time: 0.0124 memory: 8153 grad_norm: 0.0136 loss: 0.0046 semantic_segmentation_loss_cls: 0.0046 +2023/11/28 16:04:24 - mmengine - INFO - Exp name: univision_single_semseg_base_20231128_153007 +2023/11/28 16:04:24 - mmengine - INFO - Iter(train) [104000/120000] base_lr: 1.0560e-05 lr: 2.7782e-06 eta: 4:24:10 time: 0.9818 data_time: 0.0124 memory: 8153 grad_norm: 0.0136 loss: 0.0046 semantic_segmentation_loss_cls: 0.0046 +2023/11/28 16:04:24 - mmengine - INFO - Saving checkpoint at 104000 iterations +2023/11/28 16:12:48 - mmengine - INFO - Iter(train) [104500/120000] base_lr: 1.0041e-05 lr: 2.7310e-06 eta: 4:16:43 time: 0.9864 data_time: 0.0146 memory: 8153 grad_norm: 0.0137 loss: 0.0046 semantic_segmentation_loss_cls: 0.0046 +2023/11/28 16:21:02 - mmengine - INFO - Exp name: univision_single_semseg_base_20231128_153007 +2023/11/28 16:21:02 - mmengine - INFO - Iter(train) [105000/120000] base_lr: 9.5369e-06 lr: 2.6852e-06 eta: 4:08:13 time: 0.9889 data_time: 0.0146 memory: 8153 grad_norm: 0.0137 loss: 0.0047 semantic_segmentation_loss_cls: 0.0047 +2023/11/28 16:21:02 - mmengine - INFO - Saving checkpoint at 105000 iterations +2023/11/28 16:24:24 - mmengine - INFO - per class results: +2023/11/28 16:24:24 - mmengine - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 77.22 | 89.24 | +| building | 81.7 | 92.31 | +| sky | 93.6 | 97.96 | +| floor | 81.08 | 90.8 | +| tree | 73.27 | 87.95 | +| ceiling | 84.43 | 94.55 | +| road | 85.02 | 91.72 | +| bed | 87.68 | 95.44 | +| windowpane | 62.45 | 78.43 | +| grass | 69.4 | 82.79 | +| cabinet | 60.69 | 73.1 | +| sidewalk | 67.4 | 79.01 | +| person | 78.8 | 91.62 | +| earth | 39.21 | 53.4 | +| door | 51.63 | 62.6 | +| table | 61.63 | 76.9 | +| mountain | 54.4 | 70.29 | +| plant | 50.34 | 61.93 | +| curtain | 74.04 | 85.26 | +| chair | 57.6 | 71.03 | +| car | 82.15 | 90.96 | +| water | 50.5 | 64.75 | +| painting | 70.87 | 86.25 | +| sofa | 65.32 | 78.07 | +| shelf | 45.37 | 63.34 | +| house | 44.15 | 58.77 | +| sea | 50.6 | 80.63 | +| mirror | 68.05 | 78.01 | +| rug | 65.34 | 72.91 | +| field | 32.71 | 54.61 | +| armchair | 44.48 | 65.1 | +| seat | 61.78 | 79.76 | +| fence | 44.45 | 59.17 | +| desk | 52.65 | 72.58 | +| rock | 32.11 | 50.09 | +| wardrobe | 49.63 | 65.68 | +| lamp | 61.88 | 73.03 | +| bathtub | 80.88 | 85.09 | +| railing | 31.84 | 40.84 | +| cushion | 62.21 | 74.48 | +| base | 25.0 | 31.67 | +| box | 24.05 | 30.49 | +| column | 48.06 | 55.47 | +| signboard | 37.12 | 49.29 | +| chest of drawers | 40.7 | 55.41 | +| counter | 23.77 | 33.9 | +| sand | 45.55 | 52.06 | +| sink | 71.22 | 81.57 | +| skyscraper | 48.6 | 55.47 | +| fireplace | 71.62 | 86.82 | +| refrigerator | 71.85 | 80.97 | +| grandstand | 41.58 | 71.06 | +| path | 28.58 | 42.38 | +| stairs | 30.62 | 41.04 | +| runway | 73.8 | 86.25 | +| case | 44.02 | 56.18 | +| pool table | 91.64 | 95.52 | +| pillow | 58.75 | 69.62 | +| screen door | 67.0 | 71.54 | +| stairway | 29.47 | 35.72 | +| river | 18.43 | 29.45 | +| bridge | 43.44 | 53.14 | +| bookcase | 38.21 | 57.16 | +| blind | 39.51 | 43.58 | +| coffee table | 62.78 | 81.06 | +| toilet | 85.08 | 89.55 | +| flower | 38.56 | 53.38 | +| book | 47.82 | 66.27 | +| hill | 6.22 | 8.8 | +| bench | 38.15 | 44.84 | +| countertop | 51.52 | 66.9 | +| stove | 78.87 | 84.59 | +| palm | 49.42 | 66.94 | +| kitchen island | 39.57 | 78.96 | +| computer | 66.8 | 75.86 | +| swivel chair | 38.41 | 48.03 | +| boat | 44.38 | 50.79 | +| bar | 21.73 | 24.92 | +| arcade machine | 39.27 | 40.49 | +| hovel | 7.89 | 9.53 | +| bus | 90.05 | 93.46 | +| towel | 62.63 | 76.12 | +| light | 48.44 | 56.71 | +| truck | 31.93 | 41.08 | +| tower | 26.46 | 38.01 | +| chandelier | 65.69 | 78.97 | +| awning | 28.06 | 31.98 | +| streetlight | 30.73 | 39.71 | +| booth | 42.86 | 47.37 | +| television receiver | 57.92 | 85.18 | +| airplane | 56.73 | 64.42 | +| dirt track | 9.53 | 21.96 | +| apparel | 32.89 | 40.38 | +| pole | 24.7 | 33.32 | +| land | 0.41 | 0.52 | +| bannister | 13.71 | 18.23 | +| escalator | 34.43 | 44.5 | +| ottoman | 49.83 | 62.03 | +| bottle | 29.76 | 40.17 | +| buffet | 49.93 | 57.03 | +| poster | 31.96 | 36.64 | +| stage | 13.37 | 27.3 | +| van | 38.2 | 51.46 | +| ship | 58.82 | 82.47 | +| fountain | 4.76 | 4.99 | +| conveyer belt | 70.11 | 89.0 | +| canopy | 17.3 | 19.18 | +| washer | 71.83 | 74.84 | +| plaything | 24.08 | 29.79 | +| swimming pool | 59.86 | 67.42 | +| stool | 47.09 | 57.32 | +| barrel | 37.25 | 82.84 | +| basket | 32.45 | 42.59 | +| waterfall | 40.56 | 52.87 | +| tent | 83.19 | 97.67 | +| bag | 8.2 | 10.23 | +| minibike | 56.17 | 64.43 | +| cradle | 78.73 | 95.0 | +| oven | 45.07 | 58.2 | +| ball | 39.17 | 56.73 | +| food | 50.37 | 60.26 | +| step | 11.79 | 16.58 | +| tank | 44.55 | 53.27 | +| trade name | 27.25 | 31.84 | +| microwave | 38.69 | 41.41 | +| pot | 51.16 | 58.69 | +| animal | 50.1 | 53.17 | +| bicycle | 56.77 | 74.46 | +| lake | 53.02 | 60.38 | +| dishwasher | 69.15 | 72.39 | +| screen | 57.0 | 86.35 | +| blanket | 14.2 | 17.11 | +| sculpture | 60.72 | 75.46 | +| hood | 62.0 | 65.57 | +| sconce | 47.42 | 56.22 | +| vase | 39.67 | 56.16 | +| traffic light | 34.72 | 44.77 | +| tray | 14.83 | 20.3 | +| ashcan | 36.52 | 48.93 | +| fan | 57.75 | 67.74 | +| pier | 40.6 | 78.12 | +| crt screen | 3.79 | 7.02 | +| plate | 54.42 | 71.27 | +| monitor | 32.95 | 39.02 | +| bulletin board | 35.66 | 43.07 | +| shower | 7.6 | 13.03 | +| radiator | 52.07 | 56.22 | +| glass | 16.53 | 18.3 | +| clock | 19.94 | 24.84 | +| flag | 27.85 | 31.87 | ++---------------------+-------+-------+ +2023/11/28 16:24:24 - mmengine - INFO - Iter(val) [250/250] aAcc: 82.9200 mIoU: 47.5400 mAcc: 58.6200 data_time: 0.0043 time: 0.7691 +2023/11/28 16:32:38 - mmengine - INFO - Iter(train) [105500/120000] base_lr: 9.0488e-06 lr: 2.6408e-06 eta: 3:59:49 time: 0.9892 data_time: 0.0126 memory: 8153 grad_norm: 0.0136 loss: 0.0047 semantic_segmentation_loss_cls: 0.0047 +2023/11/28 16:40:52 - mmengine - INFO - Exp name: univision_single_semseg_base_20231128_153007 +2023/11/28 16:40:52 - mmengine - INFO - Iter(train) [106000/120000] base_lr: 8.5765e-06 lr: 2.5979e-06 eta: 3:51:25 time: 0.9918 data_time: 0.0125 memory: 8153 grad_norm: 0.0137 loss: 0.0046 semantic_segmentation_loss_cls: 0.0046 +2023/11/28 16:40:52 - mmengine - INFO - Saving checkpoint at 106000 iterations +2023/11/28 16:49:16 - mmengine - INFO - Iter(train) [106500/120000] base_lr: 8.1200e-06 lr: 2.5564e-06 eta: 3:43:31 time: 0.9947 data_time: 0.0149 memory: 8153 grad_norm: 0.0136 loss: 0.0046 semantic_segmentation_loss_cls: 0.0046 +2023/11/28 16:57:30 - mmengine - INFO - Exp name: univision_single_semseg_base_20231128_153007 +2023/11/28 16:57:30 - mmengine - INFO - Iter(train) [107000/120000] base_lr: 7.6794e-06 lr: 2.5163e-06 eta: 3:35:08 time: 0.9952 data_time: 0.0149 memory: 8153 grad_norm: 0.0135 loss: 0.0046 semantic_segmentation_loss_cls: 0.0046 +2023/11/28 16:57:30 - mmengine - INFO - Saving checkpoint at 107000 iterations +2023/11/28 17:05:53 - mmengine - INFO - Iter(train) [107500/120000] base_lr: 7.2548e-06 lr: 2.4777e-06 eta: 3:27:07 time: 0.9951 data_time: 0.0149 memory: 8153 grad_norm: 0.0134 loss: 0.0046 semantic_segmentation_loss_cls: 0.0046 +2023/11/28 17:14:07 - mmengine - INFO - Exp name: univision_single_semseg_base_20231128_153007 +2023/11/28 17:14:07 - mmengine - INFO - Iter(train) [108000/120000] base_lr: 6.8462e-06 lr: 2.4406e-06 eta: 3:18:43 time: 0.9951 data_time: 0.0149 memory: 8153 grad_norm: 0.0134 loss: 0.0046 semantic_segmentation_loss_cls: 0.0046 +2023/11/28 17:14:07 - mmengine - INFO - Saving checkpoint at 108000 iterations +2023/11/28 17:22:31 - mmengine - INFO - Iter(train) [108500/120000] base_lr: 6.4538e-06 lr: 2.4049e-06 eta: 3:10:38 time: 0.9952 data_time: 0.0149 memory: 8153 grad_norm: 0.0133 loss: 0.0046 semantic_segmentation_loss_cls: 0.0046 +2023/11/28 17:30:45 - mmengine - INFO - Exp name: univision_single_semseg_base_20231128_153007 +2023/11/28 17:30:45 - mmengine - INFO - Iter(train) [109000/120000] base_lr: 6.0776e-06 lr: 2.3707e-06 eta: 3:02:16 time: 0.9952 data_time: 0.0149 memory: 8153 grad_norm: 0.0133 loss: 0.0046 semantic_segmentation_loss_cls: 0.0046 +2023/11/28 17:30:45 - mmengine - INFO - Saving checkpoint at 109000 iterations +2023/11/28 17:39:09 - mmengine - INFO - Iter(train) [109500/120000] base_lr: 5.7176e-06 lr: 2.3380e-06 eta: 2:54:08 time: 0.9974 data_time: 0.0170 memory: 8153 grad_norm: 0.0133 loss: 0.0046 semantic_segmentation_loss_cls: 0.0046 +2023/11/28 17:47:23 - mmengine - INFO - Exp name: univision_single_semseg_base_20231128_153007 +2023/11/28 17:47:23 - mmengine - INFO - Iter(train) [110000/120000] base_lr: 5.3740e-06 lr: 2.3067e-06 eta: 2:45:46 time: 0.9974 data_time: 0.0170 memory: 8153 grad_norm: 0.0132 loss: 0.0046 semantic_segmentation_loss_cls: 0.0046 +2023/11/28 17:47:23 - mmengine - INFO - Saving checkpoint at 110000 iterations +2023/11/28 17:50:45 - mmengine - INFO - per class results: +2023/11/28 17:50:45 - mmengine - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 77.17 | 89.29 | +| building | 82.03 | 92.21 | +| sky | 93.56 | 98.01 | +| floor | 81.14 | 90.87 | +| tree | 72.99 | 87.34 | +| ceiling | 84.23 | 94.3 | +| road | 85.05 | 91.14 | +| bed | 88.28 | 95.42 | +| windowpane | 61.96 | 78.1 | +| grass | 69.83 | 83.11 | +| cabinet | 61.19 | 74.18 | +| sidewalk | 67.64 | 80.98 | +| person | 78.73 | 92.02 | +| earth | 39.97 | 54.13 | +| door | 51.3 | 62.55 | +| table | 61.34 | 76.08 | +| mountain | 54.99 | 70.66 | +| plant | 50.61 | 61.62 | +| curtain | 73.11 | 82.57 | +| chair | 57.37 | 70.24 | +| car | 82.05 | 90.19 | +| water | 49.73 | 64.01 | +| painting | 70.39 | 86.76 | +| sofa | 64.75 | 77.03 | +| shelf | 45.73 | 63.86 | +| house | 46.56 | 63.84 | +| sea | 49.96 | 80.01 | +| mirror | 67.39 | 78.59 | +| rug | 63.73 | 72.7 | +| field | 34.68 | 57.16 | +| armchair | 44.39 | 65.83 | +| seat | 61.45 | 79.39 | +| fence | 44.32 | 58.92 | +| desk | 50.9 | 71.56 | +| rock | 33.77 | 52.22 | +| wardrobe | 52.63 | 67.0 | +| lamp | 62.2 | 74.02 | +| bathtub | 79.75 | 83.83 | +| railing | 32.75 | 43.84 | +| cushion | 62.12 | 74.84 | +| base | 26.62 | 34.87 | +| box | 23.5 | 29.23 | +| column | 48.11 | 55.44 | +| signboard | 36.86 | 50.16 | +| chest of drawers | 37.59 | 48.69 | +| counter | 24.61 | 35.72 | +| sand | 47.79 | 56.83 | +| sink | 70.09 | 81.89 | +| skyscraper | 49.44 | 57.11 | +| fireplace | 71.07 | 87.25 | +| refrigerator | 71.79 | 80.96 | +| grandstand | 42.72 | 71.09 | +| path | 29.6 | 41.75 | +| stairs | 30.43 | 40.71 | +| runway | 73.9 | 87.04 | +| case | 44.04 | 58.54 | +| pool table | 91.78 | 95.97 | +| pillow | 59.3 | 70.44 | +| screen door | 67.5 | 72.46 | +| stairway | 29.88 | 36.19 | +| river | 16.94 | 29.11 | +| bridge | 40.5 | 50.39 | +| bookcase | 37.78 | 55.31 | +| blind | 36.02 | 39.36 | +| coffee table | 62.96 | 79.81 | +| toilet | 84.88 | 89.51 | +| flower | 39.06 | 53.83 | +| book | 48.83 | 67.27 | +| hill | 6.34 | 9.64 | +| bench | 38.7 | 44.2 | +| countertop | 51.58 | 65.25 | +| stove | 78.22 | 85.48 | +| palm | 48.21 | 69.11 | +| kitchen island | 38.87 | 78.61 | +| computer | 66.54 | 74.92 | +| swivel chair | 39.45 | 50.59 | +| boat | 42.28 | 51.33 | +| bar | 19.59 | 22.58 | +| arcade machine | 38.64 | 39.73 | +| hovel | 6.81 | 8.19 | +| bus | 90.64 | 94.53 | +| towel | 63.79 | 75.68 | +| light | 48.64 | 56.92 | +| truck | 30.52 | 39.79 | +| tower | 26.57 | 37.16 | +| chandelier | 66.98 | 78.4 | +| awning | 30.41 | 34.94 | +| streetlight | 30.05 | 39.15 | +| booth | 45.1 | 49.96 | +| television receiver | 57.33 | 84.56 | +| airplane | 56.04 | 65.09 | +| dirt track | 9.4 | 23.25 | +| apparel | 33.75 | 41.91 | +| pole | 24.38 | 32.41 | +| land | 0.45 | 0.57 | +| bannister | 14.86 | 20.11 | +| escalator | 34.16 | 44.1 | +| ottoman | 51.78 | 63.53 | +| bottle | 29.69 | 39.24 | +| buffet | 48.61 | 56.39 | +| poster | 31.68 | 36.77 | +| stage | 13.54 | 26.42 | +| van | 38.04 | 52.16 | +| ship | 60.35 | 86.7 | +| fountain | 5.82 | 6.18 | +| conveyer belt | 70.76 | 89.1 | +| canopy | 17.8 | 19.94 | +| washer | 71.45 | 73.9 | +| plaything | 23.31 | 29.95 | +| swimming pool | 59.73 | 63.58 | +| stool | 46.58 | 57.24 | +| barrel | 50.94 | 79.52 | +| basket | 33.6 | 44.39 | +| waterfall | 40.56 | 53.34 | +| tent | 83.44 | 97.74 | +| bag | 8.29 | 10.17 | +| minibike | 60.62 | 69.73 | +| cradle | 79.55 | 95.73 | +| oven | 42.76 | 57.91 | +| ball | 43.71 | 56.36 | +| food | 47.62 | 56.93 | +| step | 9.18 | 11.84 | +| tank | 45.12 | 55.03 | +| trade name | 27.16 | 31.39 | +| microwave | 38.95 | 41.64 | +| pot | 51.34 | 57.98 | +| animal | 49.7 | 53.05 | +| bicycle | 57.46 | 74.4 | +| lake | 55.91 | 62.2 | +| dishwasher | 69.68 | 73.29 | +| screen | 53.92 | 85.67 | +| blanket | 14.93 | 17.95 | +| sculpture | 61.8 | 76.76 | +| hood | 60.18 | 64.04 | +| sconce | 45.86 | 53.08 | +| vase | 38.5 | 52.76 | +| traffic light | 34.62 | 46.28 | +| tray | 14.81 | 19.48 | +| ashcan | 36.76 | 49.63 | +| fan | 56.78 | 66.09 | +| pier | 41.84 | 83.09 | +| crt screen | 4.52 | 6.75 | +| plate | 54.29 | 71.54 | +| monitor | 47.12 | 56.63 | +| bulletin board | 33.55 | 40.5 | +| shower | 8.1 | 13.51 | +| radiator | 48.88 | 51.73 | +| glass | 15.6 | 17.01 | +| clock | 20.05 | 24.7 | +| flag | 28.21 | 32.03 | ++---------------------+-------+-------+ +2023/11/28 17:50:45 - mmengine - INFO - Iter(val) [250/250] aAcc: 82.9400 mIoU: 47.7200 mAcc: 58.7900 data_time: 0.0018 time: 0.7681 +2023/11/28 17:58:59 - mmengine - INFO - Iter(train) [110500/120000] base_lr: 5.0468e-06 lr: 2.2770e-06 eta: 2:37:25 time: 0.9953 data_time: 0.0149 memory: 8153 grad_norm: 0.0132 loss: 0.0046 semantic_segmentation_loss_cls: 0.0046 +2023/11/28 18:07:13 - mmengine - INFO - Exp name: univision_single_semseg_base_20231128_153007 +2023/11/28 18:07:13 - mmengine - INFO - Iter(train) [111000/120000] base_lr: 4.7360e-06 lr: 2.2487e-06 eta: 2:29:05 time: 0.9952 data_time: 0.0149 memory: 8153 grad_norm: 0.0132 loss: 0.0046 semantic_segmentation_loss_cls: 0.0046 +2023/11/28 18:07:13 - mmengine - INFO - Saving checkpoint at 111000 iterations +2023/11/28 18:15:37 - mmengine - INFO - Iter(train) [111500/120000] base_lr: 4.4417e-06 lr: 2.2220e-06 eta: 2:20:54 time: 0.9952 data_time: 0.0148 memory: 8153 grad_norm: 0.0133 loss: 0.0046 semantic_segmentation_loss_cls: 0.0046 +2023/11/28 18:23:50 - mmengine - INFO - Exp name: univision_single_semseg_base_20231128_153007 +2023/11/28 18:23:50 - mmengine - INFO - Iter(train) [112000/120000] base_lr: 4.1639e-06 lr: 2.1967e-06 eta: 2:12:34 time: 0.9953 data_time: 0.0148 memory: 8153 grad_norm: 0.0133 loss: 0.0046 semantic_segmentation_loss_cls: 0.0046 +2023/11/28 18:23:50 - mmengine - INFO - Saving checkpoint at 112000 iterations +2023/11/28 18:32:14 - mmengine - INFO - Iter(train) [112500/120000] base_lr: 3.9028e-06 lr: 2.1730e-06 eta: 2:04:21 time: 0.9951 data_time: 0.0148 memory: 8153 grad_norm: 0.0132 loss: 0.0046 semantic_segmentation_loss_cls: 0.0046 +2023/11/28 18:40:28 - mmengine - INFO - Exp name: univision_single_semseg_base_20231128_153007 +2023/11/28 18:40:28 - mmengine - INFO - Iter(train) [113000/120000] base_lr: 3.6582e-06 lr: 2.1507e-06 eta: 1:56:01 time: 0.9952 data_time: 0.0148 memory: 8153 grad_norm: 0.0132 loss: 0.0046 semantic_segmentation_loss_cls: 0.0046 +2023/11/28 18:40:28 - mmengine - INFO - Saving checkpoint at 113000 iterations +2023/11/28 18:48:51 - mmengine - INFO - Iter(train) [113500/120000] base_lr: 3.4304e-06 lr: 2.1300e-06 eta: 1:47:47 time: 0.9951 data_time: 0.0148 memory: 8153 grad_norm: 0.0131 loss: 0.0046 semantic_segmentation_loss_cls: 0.0046 +2023/11/28 18:57:06 - mmengine - INFO - Exp name: univision_single_semseg_base_20231128_153007 +2023/11/28 18:57:06 - mmengine - INFO - Iter(train) [114000/120000] base_lr: 3.2193e-06 lr: 2.1108e-06 eta: 1:39:28 time: 0.9951 data_time: 0.0148 memory: 8153 grad_norm: 0.0131 loss: 0.0045 semantic_segmentation_loss_cls: 0.0045 +2023/11/28 18:57:06 - mmengine - INFO - Saving checkpoint at 114000 iterations +2023/11/28 19:05:29 - mmengine - INFO - Iter(train) [114500/120000] base_lr: 3.0249e-06 lr: 2.0932e-06 eta: 1:31:13 time: 0.9972 data_time: 0.0168 memory: 8153 grad_norm: 0.0131 loss: 0.0046 semantic_segmentation_loss_cls: 0.0046 +2023/11/28 19:13:43 - mmengine - INFO - Exp name: univision_single_semseg_base_20231128_153007 +2023/11/28 19:13:43 - mmengine - INFO - Iter(train) [115000/120000] base_lr: 2.8473e-06 lr: 2.0770e-06 eta: 1:22:54 time: 0.9972 data_time: 0.0168 memory: 8153 grad_norm: 0.0130 loss: 0.0045 semantic_segmentation_loss_cls: 0.0045 +2023/11/28 19:13:43 - mmengine - INFO - Saving checkpoint at 115000 iterations +2023/11/28 19:17:05 - mmengine - INFO - per class results: +2023/11/28 19:17:05 - mmengine - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 77.29 | 89.25 | +| building | 81.86 | 92.23 | +| sky | 93.66 | 97.9 | +| floor | 81.13 | 90.94 | +| tree | 73.37 | 87.86 | +| ceiling | 84.29 | 94.06 | +| road | 85.09 | 91.21 | +| bed | 88.07 | 95.45 | +| windowpane | 61.95 | 78.02 | +| grass | 69.19 | 82.57 | +| cabinet | 61.26 | 74.16 | +| sidewalk | 67.73 | 80.94 | +| person | 78.84 | 91.66 | +| earth | 40.28 | 55.37 | +| door | 52.24 | 63.8 | +| table | 61.18 | 75.82 | +| mountain | 55.19 | 70.56 | +| plant | 50.42 | 62.13 | +| curtain | 73.78 | 84.99 | +| chair | 57.21 | 70.36 | +| car | 81.68 | 90.25 | +| water | 49.94 | 64.14 | +| painting | 70.44 | 86.97 | +| sofa | 65.54 | 78.53 | +| shelf | 45.29 | 63.08 | +| house | 44.94 | 61.1 | +| sea | 49.59 | 79.72 | +| mirror | 68.17 | 77.69 | +| rug | 64.28 | 72.24 | +| field | 33.24 | 53.06 | +| armchair | 44.6 | 65.06 | +| seat | 62.28 | 79.3 | +| fence | 44.4 | 59.52 | +| desk | 50.08 | 69.09 | +| rock | 34.08 | 52.22 | +| wardrobe | 51.11 | 66.09 | +| lamp | 62.39 | 73.33 | +| bathtub | 80.29 | 83.98 | +| railing | 32.93 | 44.08 | +| cushion | 61.7 | 73.42 | +| base | 25.64 | 33.1 | +| box | 23.97 | 30.21 | +| column | 48.06 | 55.26 | +| signboard | 37.06 | 50.46 | +| chest of drawers | 38.11 | 52.79 | +| counter | 24.08 | 34.8 | +| sand | 45.79 | 53.75 | +| sink | 70.43 | 81.43 | +| skyscraper | 48.6 | 55.71 | +| fireplace | 71.43 | 87.82 | +| refrigerator | 71.8 | 81.04 | +| grandstand | 42.18 | 70.57 | +| path | 29.47 | 41.18 | +| stairs | 30.35 | 41.51 | +| runway | 74.14 | 86.88 | +| case | 44.34 | 58.68 | +| pool table | 91.85 | 95.79 | +| pillow | 59.45 | 71.34 | +| screen door | 67.38 | 71.69 | +| stairway | 30.36 | 36.09 | +| river | 17.1 | 29.05 | +| bridge | 34.98 | 42.64 | +| bookcase | 39.02 | 58.23 | +| blind | 36.25 | 39.93 | +| coffee table | 62.55 | 80.3 | +| toilet | 84.72 | 89.64 | +| flower | 39.11 | 54.36 | +| book | 49.18 | 67.05 | +| hill | 6.24 | 9.43 | +| bench | 38.57 | 44.89 | +| countertop | 52.23 | 65.75 | +| stove | 79.11 | 85.92 | +| palm | 48.33 | 68.2 | +| kitchen island | 37.24 | 78.0 | +| computer | 65.62 | 74.85 | +| swivel chair | 39.36 | 50.99 | +| boat | 44.92 | 52.0 | +| bar | 20.49 | 23.55 | +| arcade machine | 39.53 | 40.77 | +| hovel | 6.82 | 8.31 | +| bus | 89.79 | 94.26 | +| towel | 61.92 | 76.24 | +| light | 48.85 | 56.68 | +| truck | 31.06 | 40.48 | +| tower | 26.41 | 36.97 | +| chandelier | 67.28 | 79.91 | +| awning | 31.06 | 36.29 | +| streetlight | 30.19 | 39.9 | +| booth | 43.8 | 47.09 | +| television receiver | 57.23 | 84.32 | +| airplane | 56.78 | 64.59 | +| dirt track | 11.43 | 24.97 | +| apparel | 34.92 | 45.05 | +| pole | 22.98 | 31.51 | +| land | 0.37 | 0.48 | +| bannister | 14.69 | 19.34 | +| escalator | 37.04 | 48.47 | +| ottoman | 50.7 | 62.94 | +| bottle | 28.37 | 36.12 | +| buffet | 47.87 | 54.09 | +| poster | 31.29 | 36.64 | +| stage | 13.35 | 26.64 | +| van | 38.97 | 54.26 | +| ship | 60.53 | 84.97 | +| fountain | 5.12 | 5.41 | +| conveyer belt | 73.19 | 89.2 | +| canopy | 17.6 | 19.78 | +| washer | 70.9 | 73.37 | +| plaything | 23.98 | 30.61 | +| swimming pool | 59.35 | 66.68 | +| stool | 47.06 | 58.06 | +| barrel | 34.64 | 76.95 | +| basket | 35.1 | 46.02 | +| waterfall | 40.07 | 52.35 | +| tent | 77.93 | 97.64 | +| bag | 8.39 | 10.5 | +| minibike | 62.62 | 72.24 | +| cradle | 77.38 | 95.76 | +| oven | 43.12 | 58.62 | +| ball | 43.1 | 57.27 | +| food | 48.84 | 58.62 | +| step | 11.5 | 14.9 | +| tank | 44.26 | 53.85 | +| trade name | 28.72 | 34.28 | +| microwave | 38.77 | 41.58 | +| pot | 51.41 | 58.24 | +| animal | 49.66 | 52.41 | +| bicycle | 57.38 | 74.38 | +| lake | 56.78 | 62.24 | +| dishwasher | 69.56 | 73.93 | +| screen | 56.57 | 86.31 | +| blanket | 13.35 | 16.32 | +| sculpture | 60.87 | 74.95 | +| hood | 61.46 | 64.96 | +| sconce | 46.73 | 56.11 | +| vase | 39.27 | 53.61 | +| traffic light | 35.54 | 48.04 | +| tray | 14.82 | 19.6 | +| ashcan | 37.08 | 49.93 | +| fan | 56.48 | 66.57 | +| pier | 40.63 | 79.58 | +| crt screen | 4.34 | 6.92 | +| plate | 54.95 | 71.11 | +| monitor | 42.4 | 50.63 | +| bulletin board | 34.64 | 42.78 | +| shower | 8.4 | 13.65 | +| radiator | 49.22 | 53.39 | +| glass | 16.26 | 17.87 | +| clock | 21.06 | 25.58 | +| flag | 27.93 | 32.22 | ++---------------------+-------+-------+ +2023/11/28 19:17:05 - mmengine - INFO - Iter(val) [250/250] aAcc: 82.9500 mIoU: 47.6100 mAcc: 58.8200 data_time: 0.0021 time: 0.7683 +2023/11/28 19:25:18 - mmengine - INFO - Iter(train) [115500/120000] base_lr: 2.6865e-06 lr: 2.0624e-06 eta: 1:14:36 time: 0.9949 data_time: 0.0148 memory: 8153 grad_norm: 0.0129 loss: 0.0046 semantic_segmentation_loss_cls: 0.0046 +2023/11/28 19:33:32 - mmengine - INFO - Exp name: univision_single_semseg_base_20231128_153007 +2023/11/28 19:33:32 - mmengine - INFO - Iter(train) [116000/120000] base_lr: 2.5426e-06 lr: 2.0493e-06 eta: 1:06:17 time: 0.9950 data_time: 0.0148 memory: 8153 grad_norm: 0.0130 loss: 0.0046 semantic_segmentation_loss_cls: 0.0046 +2023/11/28 19:33:32 - mmengine - INFO - Saving checkpoint at 116000 iterations +2023/11/28 19:41:56 - mmengine - INFO - Iter(train) [116500/120000] base_lr: 2.4155e-06 lr: 2.0378e-06 eta: 0:58:02 time: 0.9950 data_time: 0.0148 memory: 8153 grad_norm: 0.0130 loss: 0.0046 semantic_segmentation_loss_cls: 0.0046 +2023/11/28 19:50:10 - mmengine - INFO - Exp name: univision_single_semseg_base_20231128_153007 +2023/11/28 19:50:10 - mmengine - INFO - Iter(train) [117000/120000] base_lr: 2.3054e-06 lr: 2.0278e-06 eta: 0:49:43 time: 0.9949 data_time: 0.0148 memory: 8153 grad_norm: 0.0130 loss: 0.0046 semantic_segmentation_loss_cls: 0.0046 +2023/11/28 19:50:10 - mmengine - INFO - Saving checkpoint at 117000 iterations +2023/11/28 19:58:34 - mmengine - INFO - Iter(train) [117500/120000] base_lr: 2.2121e-06 lr: 2.0193e-06 eta: 0:41:27 time: 0.9951 data_time: 0.0148 memory: 8153 grad_norm: 0.0131 loss: 0.0046 semantic_segmentation_loss_cls: 0.0046 +2023/11/28 20:06:48 - mmengine - INFO - Exp name: univision_single_semseg_base_20231128_153007 +2023/11/28 20:06:48 - mmengine - INFO - Iter(train) [118000/120000] base_lr: 2.1358e-06 lr: 2.0123e-06 eta: 0:33:09 time: 0.9949 data_time: 0.0148 memory: 8153 grad_norm: 0.0130 loss: 0.0046 semantic_segmentation_loss_cls: 0.0046 +2023/11/28 20:06:48 - mmengine - INFO - Saving checkpoint at 118000 iterations +2023/11/28 20:15:11 - mmengine - INFO - Iter(train) [118500/120000] base_lr: 2.0764e-06 lr: 2.0069e-06 eta: 0:24:52 time: 0.9949 data_time: 0.0148 memory: 8153 grad_norm: 0.0130 loss: 0.0046 semantic_segmentation_loss_cls: 0.0046 +2023/11/28 20:23:25 - mmengine - INFO - Exp name: univision_single_semseg_base_20231128_153007 +2023/11/28 20:23:25 - mmengine - INFO - Iter(train) [119000/120000] base_lr: 2.0340e-06 lr: 2.0031e-06 eta: 0:16:34 time: 0.9950 data_time: 0.0148 memory: 8153 grad_norm: 0.0131 loss: 0.0046 semantic_segmentation_loss_cls: 0.0046 +2023/11/28 20:23:25 - mmengine - INFO - Saving checkpoint at 119000 iterations +2023/11/28 20:31:48 - mmengine - INFO - Iter(train) [119500/120000] base_lr: 2.0085e-06 lr: 2.0008e-06 eta: 0:08:17 time: 0.9972 data_time: 0.0169 memory: 8153 grad_norm: 0.0131 loss: 0.0046 semantic_segmentation_loss_cls: 0.0046 +2023/11/28 20:40:02 - mmengine - INFO - Exp name: univision_single_semseg_base_20231128_153007 +2023/11/28 20:40:02 - mmengine - INFO - Iter(train) [120000/120000] base_lr: 2.0000e-06 lr: 2.0000e-06 eta: 0:00:00 time: 0.9972 data_time: 0.0169 memory: 8153 grad_norm: 0.0130 loss: 0.0046 semantic_segmentation_loss_cls: 0.0046 +2023/11/28 20:40:02 - mmengine - INFO - Saving checkpoint at 120000 iterations +2023/11/28 20:43:25 - mmengine - INFO - per class results: +2023/11/28 20:43:25 - mmengine - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 77.19 | 89.46 | +| building | 81.7 | 92.61 | +| sky | 93.67 | 97.72 | +| floor | 81.13 | 90.97 | +| tree | 73.4 | 88.13 | +| ceiling | 84.59 | 94.05 | +| road | 85.04 | 91.11 | +| bed | 88.17 | 95.25 | +| windowpane | 62.19 | 77.76 | +| grass | 69.45 | 83.09 | +| cabinet | 61.74 | 74.56 | +| sidewalk | 67.85 | 81.26 | +| person | 78.7 | 91.74 | +| earth | 39.83 | 53.78 | +| door | 51.98 | 62.88 | +| table | 61.64 | 76.77 | +| mountain | 55.26 | 70.45 | +| plant | 50.71 | 62.48 | +| curtain | 73.35 | 84.54 | +| chair | 57.25 | 70.16 | +| car | 81.58 | 90.34 | +| water | 50.88 | 65.83 | +| painting | 71.38 | 86.32 | +| sofa | 65.24 | 77.81 | +| shelf | 45.13 | 62.4 | +| house | 44.09 | 59.13 | +| sea | 48.54 | 76.12 | +| mirror | 66.99 | 77.79 | +| rug | 63.7 | 72.07 | +| field | 32.82 | 53.0 | +| armchair | 44.6 | 65.91 | +| seat | 62.08 | 79.29 | +| fence | 43.98 | 58.21 | +| desk | 50.42 | 68.51 | +| rock | 35.47 | 55.4 | +| wardrobe | 52.91 | 66.45 | +| lamp | 62.08 | 73.67 | +| bathtub | 80.37 | 84.43 | +| railing | 33.03 | 43.89 | +| cushion | 61.88 | 74.37 | +| base | 24.53 | 30.72 | +| box | 23.01 | 28.17 | +| column | 48.9 | 55.45 | +| signboard | 36.43 | 48.75 | +| chest of drawers | 36.66 | 50.2 | +| counter | 23.52 | 34.16 | +| sand | 46.28 | 55.6 | +| sink | 70.81 | 81.41 | +| skyscraper | 48.47 | 55.48 | +| fireplace | 71.59 | 87.6 | +| refrigerator | 71.68 | 80.95 | +| grandstand | 44.52 | 70.33 | +| path | 29.84 | 41.7 | +| stairs | 30.51 | 40.7 | +| runway | 73.99 | 86.83 | +| case | 43.72 | 59.43 | +| pool table | 91.53 | 95.32 | +| pillow | 58.03 | 69.32 | +| screen door | 69.11 | 71.86 | +| stairway | 30.21 | 35.72 | +| river | 15.92 | 28.79 | +| bridge | 34.75 | 42.47 | +| bookcase | 38.3 | 56.03 | +| blind | 38.03 | 41.72 | +| coffee table | 63.33 | 79.91 | +| toilet | 84.87 | 89.58 | +| flower | 39.9 | 54.11 | +| book | 49.26 | 66.58 | +| hill | 6.1 | 8.95 | +| bench | 38.44 | 44.11 | +| countertop | 51.81 | 65.77 | +| stove | 78.21 | 84.3 | +| palm | 47.96 | 67.17 | +| kitchen island | 38.78 | 79.57 | +| computer | 66.29 | 74.79 | +| swivel chair | 39.63 | 51.07 | +| boat | 44.76 | 51.19 | +| bar | 21.02 | 24.25 | +| arcade machine | 40.82 | 42.28 | +| hovel | 6.59 | 8.31 | +| bus | 89.33 | 94.25 | +| towel | 62.77 | 75.9 | +| light | 49.15 | 57.05 | +| truck | 30.61 | 40.08 | +| tower | 25.87 | 37.28 | +| chandelier | 66.96 | 80.72 | +| awning | 30.01 | 34.51 | +| streetlight | 30.77 | 40.58 | +| booth | 42.67 | 47.01 | +| television receiver | 56.13 | 84.18 | +| airplane | 56.38 | 64.88 | +| dirt track | 10.81 | 25.43 | +| apparel | 34.87 | 43.43 | +| pole | 23.92 | 32.69 | +| land | 0.28 | 0.35 | +| bannister | 14.67 | 19.6 | +| escalator | 37.05 | 49.0 | +| ottoman | 50.63 | 61.98 | +| bottle | 28.43 | 36.28 | +| buffet | 49.55 | 57.92 | +| poster | 31.24 | 36.55 | +| stage | 13.43 | 26.44 | +| van | 38.58 | 53.46 | +| ship | 60.91 | 85.4 | +| fountain | 6.63 | 7.12 | +| conveyer belt | 72.28 | 88.75 | +| canopy | 15.38 | 17.32 | +| washer | 71.01 | 73.34 | +| plaything | 24.64 | 30.97 | +| swimming pool | 62.47 | 68.53 | +| stool | 46.91 | 57.27 | +| barrel | 37.95 | 80.15 | +| basket | 34.59 | 46.1 | +| waterfall | 40.88 | 53.48 | +| tent | 82.13 | 97.48 | +| bag | 7.71 | 9.39 | +| minibike | 59.7 | 68.79 | +| cradle | 77.5 | 95.67 | +| oven | 43.07 | 58.45 | +| ball | 41.56 | 55.4 | +| food | 49.26 | 58.59 | +| step | 11.26 | 14.35 | +| tank | 44.83 | 54.15 | +| trade name | 28.3 | 33.63 | +| microwave | 38.75 | 41.52 | +| pot | 51.26 | 58.63 | +| animal | 49.47 | 52.45 | +| bicycle | 57.15 | 73.98 | +| lake | 56.64 | 62.02 | +| dishwasher | 69.53 | 73.46 | +| screen | 57.22 | 85.61 | +| blanket | 14.1 | 16.61 | +| sculpture | 61.21 | 76.24 | +| hood | 60.39 | 63.91 | +| sconce | 46.01 | 54.19 | +| vase | 39.02 | 53.97 | +| traffic light | 35.25 | 46.66 | +| tray | 14.54 | 18.55 | +| ashcan | 36.37 | 48.68 | +| fan | 56.74 | 66.98 | +| pier | 46.22 | 80.73 | +| crt screen | 4.36 | 7.32 | +| plate | 54.68 | 71.26 | +| monitor | 37.21 | 46.23 | +| bulletin board | 32.69 | 41.45 | +| shower | 6.71 | 11.95 | +| radiator | 50.87 | 54.02 | +| glass | 16.08 | 17.7 | +| clock | 20.62 | 25.16 | +| flag | 29.35 | 33.62 | ++---------------------+-------+-------+ +2023/11/28 20:43:25 - mmengine - INFO - Iter(val) [250/250] aAcc: 82.9700 mIoU: 47.6400 mAcc: 58.6500 data_time: 0.0018 time: 0.7678