Image Segmentation
Transformers
PyTorch
upernet
Inference Endpoints
test2 / configs /unet /fcn_unet_s5-d16_128x128_40k_stare.py
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_base_ = [
'../_base_/models/fcn_unet_s5-d16.py', '../_base_/datasets/stare.py',
'../_base_/default_runtime.py', '../_base_/schedules/schedule_40k.py'
]
model = dict(test_cfg=dict(crop_size=(128, 128), stride=(85, 85)))
evaluation = dict(metric='mDice')