Image Segmentation
Transformers
PyTorch
upernet
Inference Endpoints
test2 / configs /unet /fcn_unet_s5-d16_64x64_40k_drive.py
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_base_ = [
'../_base_/models/fcn_unet_s5-d16.py', '../_base_/datasets/drive.py',
'../_base_/default_runtime.py', '../_base_/schedules/schedule_40k.py'
]
model = dict(test_cfg=dict(crop_size=(64, 64), stride=(42, 42)))
evaluation = dict(metric='mDice')