Spaces:
Runtime error
Runtime error
snnetv2-semantic-segmentation
/
configs
/fastfcn
/fastfcn_r50-d32_jpu_enc_4xb4-160k_ade20k-512x512.py
| # model settings | |
| _base_ = './fastfcn_r50-d32_jpu_psp_4xb4-160k_ade20k-512x512.py' | |
| norm_cfg = dict(type='SyncBN', requires_grad=True) | |
| model = dict( | |
| decode_head=dict( | |
| _delete_=True, | |
| type='EncHead', | |
| in_channels=[512, 1024, 2048], | |
| in_index=(0, 1, 2), | |
| channels=512, | |
| num_codes=32, | |
| use_se_loss=True, | |
| add_lateral=False, | |
| dropout_ratio=0.1, | |
| num_classes=150, | |
| norm_cfg=norm_cfg, | |
| align_corners=False, | |
| loss_decode=dict( | |
| type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0), | |
| loss_se_decode=dict( | |
| type='CrossEntropyLoss', use_sigmoid=True, loss_weight=0.2)), | |
| # model training and testing settings | |
| train_cfg=dict(), | |
| test_cfg=dict(mode='whole')) | |