Image Segmentation
Transformers
PyTorch
upernet
Inference Endpoints
test2 / configs /encnet /encnet_r50s-d8_512x512_80k_ade20k.py
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_base_ = [
'../_base_/models/encnet_r50-d8.py', '../_base_/datasets/ade20k.py',
'../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py'
]
model = dict(
backbone=dict(stem_channels=128),
decode_head=dict(num_classes=150),
auxiliary_head=dict(num_classes=150))