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| [i] DeepLabv3+@ResNet-50@Fix@GN | |
| [i] mean values is [0.485, 0.456, 0.406] | |
| [i] std values is [0.229, 0.224, 0.225] | |
| [i] The number of class is 20 | |
| [i] train_transform is Compose( | |
| <tools.ai.augment_utils.RandomResize_For_Segmentation object at 0x7a0c41d09750> | |
| <tools.ai.augment_utils.RandomHorizontalFlip_For_Segmentation object at 0x7a0c41d09720> | |
| <tools.ai.augment_utils.Normalize_For_Segmentation object at 0x7a0c41d097e0> | |
| <tools.ai.augment_utils.RandomCrop_For_Segmentation object at 0x7a0c41d09870> | |
| <tools.ai.augment_utils.Transpose_For_Segmentation object at 0x7a0c41d098d0> | |
| ) | |
| [i] log_iteration : 66 | |
| [i] val_iteration : 661 | |
| [i] max_iteration : 9,915 | |
| [i] Architecture is DeepLabv3+ | |
| [i] Total Params: 40.35M | |
| [i] iteration=66, learning_rate=0.0070, loss=1.6635, time=18sec | |
| [i] iteration=132, learning_rate=0.0069, loss=1.1385, time=17sec | |
| [i] iteration=198, learning_rate=0.0069, loss=0.9417, time=17sec | |
| [i] iteration=264, learning_rate=0.0068, loss=0.8400, time=17sec | |
| [i] iteration=330, learning_rate=0.0068, loss=0.7766, time=17sec | |
| [i] iteration=396, learning_rate=0.0067, loss=0.6704, time=17sec | |
| [i] iteration=462, learning_rate=0.0067, loss=0.6700, time=17sec | |
| [i] iteration=528, learning_rate=0.0067, loss=0.6208, time=17sec | |
| [i] iteration=594, learning_rate=0.0066, loss=0.6388, time=17sec | |
| [i] iteration=660, learning_rate=0.0066, loss=0.6167, time=17sec | |
| [i] DeepLabv3+@ResNet-50@Fix@GN | |
| [i] mean values is [0.485, 0.456, 0.406] | |
| [i] std values is [0.229, 0.224, 0.225] | |
| [i] The number of class is 20 | |
| [i] train_transform is Compose( | |
| <tools.ai.augment_utils.RandomResize_For_Segmentation object at 0x7b724931be20> | |
| <tools.ai.augment_utils.RandomHorizontalFlip_For_Segmentation object at 0x7b724931bd60> | |
| <tools.ai.augment_utils.Normalize_For_Segmentation object at 0x7b724931bdc0> | |
| <tools.ai.augment_utils.RandomCrop_For_Segmentation object at 0x7b724931be50> | |
| <tools.ai.augment_utils.Transpose_For_Segmentation object at 0x7b724931beb0> | |
| ) | |
| [i] log_iteration : 66 | |
| [i] val_iteration : 661 | |
| [i] max_iteration : 9,915 | |
| [i] Architecture is DeepLabv3+ | |
| [i] Total Params: 40.35M | |
| [i] iteration=66, learning_rate=0.0070, loss=1.6640, time=18sec | |
| [i] iteration=132, learning_rate=0.0069, loss=1.1375, time=17sec | |
| [i] iteration=198, learning_rate=0.0069, loss=0.9249, time=17sec | |
| [i] iteration=264, learning_rate=0.0068, loss=0.7839, time=17sec | |
| [i] iteration=330, learning_rate=0.0068, loss=0.8084, time=17sec | |
| [i] iteration=396, learning_rate=0.0067, loss=0.6803, time=17sec | |
| [i] iteration=462, learning_rate=0.0067, loss=0.6661, time=17sec | |
| [i] iteration=528, learning_rate=0.0067, loss=0.6199, time=17sec | |
| [i] iteration=594, learning_rate=0.0066, loss=0.6303, time=17sec | |
| [i] iteration=660, learning_rate=0.0066, loss=0.6040, time=17sec | |
| [i] save model | |
| [i] iteration=661, mIoU=40.20%, best_valid_mIoU=40.20%, time=38sec | |
| [i] iteration=726, learning_rate=0.0065, loss=0.5300, time=55sec | |
| [i] iteration=792, learning_rate=0.0065, loss=0.5670, time=17sec | |
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| [i] iteration=1,320, learning_rate=0.0062, loss=0.5086, time=17sec | |
| [i] save model | |
| [i] iteration=1,322, mIoU=46.93%, best_valid_mIoU=46.93%, time=38sec | |
| [i] iteration=1,386, learning_rate=0.0061, loss=0.4478, time=56sec | |
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| [i] iteration=1,980, learning_rate=0.0057, loss=0.4344, time=17sec | |
| [i] save model | |
| [i] iteration=1,983, mIoU=50.79%, best_valid_mIoU=50.79%, time=38sec | |
| [i] iteration=2,046, learning_rate=0.0057, loss=0.4106, time=56sec | |
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| [i] iteration=2,640, learning_rate=0.0053, loss=0.3849, time=17sec | |
| [i] save model | |
| [i] iteration=2,644, mIoU=51.25%, best_valid_mIoU=51.25%, time=38sec | |
| [i] iteration=2,706, learning_rate=0.0053, loss=0.3532, time=56sec | |
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| [i] iteration=3,305, mIoU=49.77%, best_valid_mIoU=51.25%, time=38sec | |
| [i] iteration=3,366, learning_rate=0.0048, loss=0.3577, time=56sec | |
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| [i] iteration=3,960, learning_rate=0.0044, loss=0.3648, time=17sec | |
| [i] save model | |
| [i] iteration=3,966, mIoU=53.03%, best_valid_mIoU=53.03%, time=38sec | |
| [i] iteration=4,026, learning_rate=0.0044, loss=0.3729, time=56sec | |
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| [i] iteration=4,620, learning_rate=0.0040, loss=0.3448, time=17sec | |
| [i] save model | |
| [i] iteration=4,627, mIoU=53.53%, best_valid_mIoU=53.53%, time=38sec | |
| [i] iteration=4,686, learning_rate=0.0039, loss=0.3394, time=56sec | |
| [i] iteration=4,752, learning_rate=0.0039, loss=0.3264, time=17sec | |
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| [i] iteration=5,280, learning_rate=0.0035, loss=0.3098, time=17sec | |
| [i] save model | |
| [i] iteration=5,288, mIoU=53.69%, best_valid_mIoU=53.69%, time=38sec | |
| [i] iteration=5,346, learning_rate=0.0035, loss=0.2972, time=56sec | |
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| [i] save model | |
| [i] iteration=5,949, mIoU=53.96%, best_valid_mIoU=53.96%, time=38sec | |
| [i] iteration=6,006, learning_rate=0.0030, loss=0.3148, time=56sec | |
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| [i] iteration=6,610, mIoU=53.62%, best_valid_mIoU=53.96%, time=37sec | |
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| [i] save model | |
| [i] iteration=7,932, mIoU=54.37%, best_valid_mIoU=54.37%, time=38sec | |
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| [i] save model | |
| [i] iteration=9,254, mIoU=55.12%, best_valid_mIoU=55.12%, time=38sec | |
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