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	snnetv2-semantic-segmentation
				/
					configs
								
							/deeplabv3plus
								
							/deeplabv3plus_r18b-d8_4xb2-80k_cityscapes-512x1024.py
					
			| _base_ = './deeplabv3plus_r50-d8_4xb2-80k_cityscapes-512x1024.py' | |
| model = dict( | |
| pretrained='torchvision://resnet18', | |
| backbone=dict(type='ResNet', depth=18), | |
| decode_head=dict( | |
| c1_in_channels=64, | |
| c1_channels=12, | |
| in_channels=512, | |
| channels=128, | |
| ), | |
| auxiliary_head=dict(in_channels=256, channels=64)) | |