Image Segmentation
Transformers
PyTorch
upernet
Inference Endpoints
test2 / configs /fastscnn /fast_scnn_4x8_80k_lr0.12_cityscapes.py
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_base_ = [
'../_base_/models/fast_scnn.py', '../_base_/datasets/cityscapes.py',
'../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py'
]
# Re-config the data sampler.
data = dict(samples_per_gpu=2, workers_per_gpu=4)
# Re-config the optimizer.
optimizer = dict(type='SGD', lr=0.12, momentum=0.9, weight_decay=4e-5)