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_base_ = [
'../_base_/models/pspnet_r50-d8.py', '../_base_/datasets/cityscapes.py',
'../_base_/default_runtime.py', '../_base_/schedules/schedule_40k.py'
]
crop_size = (512, 1024)
data_preprocessor = dict(size=crop_size)
model = dict(data_preprocessor=data_preprocessor)
test_pipeline = [
dict(type='LoadImageFromFile'),
dict(type='Resize', scale=(1920, 1080), keep_ratio=True),
# add loading annotation after ``Resize`` because ground truth
# does not need to do resize data transform
dict(type='LoadAnnotations'),
dict(type='PackSegInputs')
]
test_dataloader = dict(
dataset=dict(
type='NightDrivingDataset',
data_root='data/NighttimeDrivingTest/',
data_prefix=dict(
img_path='leftImg8bit/test/night',
seg_map_path='gtCoarse_daytime_trainvaltest/test/night'),
pipeline=test_pipeline))
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