| norm_cfg = dict(type='SyncBN', requires_grad=True) | |
| backbone = dict( | |
| type='MixVisionTransformer', | |
| in_channels=3, | |
| embed_dims=32, | |
| num_stages=4, | |
| num_layers=[2, 2, 2, 2], | |
| num_heads=[1, 2, 5, 8], | |
| patch_sizes=[7, 3, 3, 3], | |
| sr_ratios=[8, 4, 2, 1], | |
| out_indices=(0, 1, 2, 3), | |
| mlp_ratio=4, | |
| qkv_bias=True, | |
| drop_rate=0.0, | |
| attn_drop_rate=0.0, | |
| drop_path_rate=0.1 | |
| ) | |
| decode_head = dict( | |
| type='SegformerHead', | |
| in_channels=[32, 64, 160, 256], | |
| in_index=[0, 1, 2, 3], | |
| channels=256, | |
| dropout_ratio=0.1, | |
| out_channels=19, | |
| norm_cfg=norm_cfg, | |
| align_corners=False, | |
| interpolate_mode='bilinear' | |
| ) | |