Image Segmentation
Transformers
PyTorch
upernet
Inference Endpoints
test2 / configs /nonlocal_net /nonlocal_r50-d8_769x769_40k_cityscapes.py
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_base_ = [
'../_base_/models/nonlocal_r50-d8.py',
'../_base_/datasets/cityscapes_769x769.py', '../_base_/default_runtime.py',
'../_base_/schedules/schedule_40k.py'
]
model = dict(
decode_head=dict(align_corners=True),
auxiliary_head=dict(align_corners=True),
test_cfg=dict(mode='slide', crop_size=(769, 769), stride=(513, 513)))