Image Segmentation
Transformers
PyTorch
upernet
Inference Endpoints
test2 / configs /ocrnet /ocrnet_r101-d8_512x1024_40k_b16_cityscapes.py
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_base_ = [
'../_base_/models/ocrnet_r50-d8.py', '../_base_/datasets/cityscapes.py',
'../_base_/default_runtime.py', '../_base_/schedules/schedule_40k.py'
]
model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101))
optimizer = dict(lr=0.02)
lr_config = dict(min_lr=2e-4)