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| checkpoint = 'https://download.openmmlab.com/mmsegmentation/v0.5/pretrain/segmenter/vit_base_p16_384_20220308-96dfe169.pth' # noqa | |
| # model settings | |
| backbone_norm_cfg = dict(type='LN', eps=1e-6, requires_grad=True) | |
| data_preprocessor = dict( | |
| type='SegDataPreProcessor', | |
| mean=[127.5, 127.5, 127.5], | |
| std=[127.5, 127.5, 127.5], | |
| bgr_to_rgb=True, | |
| pad_val=0, | |
| seg_pad_val=255) | |
| model = dict( | |
| type='EncoderDecoder', | |
| data_preprocessor=data_preprocessor, | |
| pretrained=checkpoint, | |
| backbone=dict( | |
| type='VisionTransformer', | |
| img_size=(512, 512), | |
| patch_size=16, | |
| in_channels=3, | |
| embed_dims=768, | |
| num_layers=12, | |
| num_heads=12, | |
| drop_path_rate=0.1, | |
| attn_drop_rate=0.0, | |
| drop_rate=0.0, | |
| final_norm=True, | |
| norm_cfg=backbone_norm_cfg, | |
| with_cls_token=True, | |
| interpolate_mode='bicubic', | |
| ), | |
| decode_head=dict( | |
| type='SegmenterMaskTransformerHead', | |
| in_channels=768, | |
| channels=768, | |
| num_classes=150, | |
| num_layers=2, | |
| num_heads=12, | |
| embed_dims=768, | |
| dropout_ratio=0.0, | |
| loss_decode=dict( | |
| type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0), | |
| ), | |
| test_cfg=dict(mode='slide', crop_size=(512, 512), stride=(480, 480)), | |
| ) | |