Open OuXiao514 opened 1 year ago
master branch https://mmocr.readthedocs.io/en/latest/
Are the two convolutional neural network settings used in the ASTER model the same? backbone=dict( type='ResNet', in_channels=3, stem_channels=[32], block_cfgs=dict(type='BasicBlock', use_conv1x1='True'), arch_layers=[3, 4, 6, 6, 3], arch_channels=[32, 64, 128, 256, 512], strides=[(2, 2), (2, 2), (2, 1), (2, 1), (2, 1)], init_cfg=[ dict(type='Kaiming', layer='Conv2d'), dict(type='Constant', val=1, layer='BatchNorm2d'), ])
Are the two convolutional neural network settings used in the ASTER model the same?
Hi @OuXiao514 The configuration of ResNet is the same as in the original paper.
Branch
master branch https://mmocr.readthedocs.io/en/latest/
📚 The doc issue
Are the two convolutional neural network settings used in the ASTER model the same? backbone=dict( type='ResNet', in_channels=3, stem_channels=[32], block_cfgs=dict(type='BasicBlock', use_conv1x1='True'), arch_layers=[3, 4, 6, 6, 3], arch_channels=[32, 64, 128, 256, 512], strides=[(2, 2), (2, 2), (2, 1), (2, 1), (2, 1)], init_cfg=[ dict(type='Kaiming', layer='Conv2d'), dict(type='Constant', val=1, layer='BatchNorm2d'), ])
Suggest a potential alternative/fix
Are the two convolutional neural network settings used in the ASTER model the same?