mirror of
https://github.com/open-mmlab/mmsegmentation.git
synced 2025-06-03 10:13:53 +08:00
5753f413ad
* rewrite init function * support dark_zurich test * reset image size * add night * add train_pipeline * init function parameters * remove base dataset config * remove fcn config * update doc * add datasets to README * update doc * fix table of PSPNet config * fix table of PSPNet config * change 'model' tp 'evaluation checkpoint' * fix typos in README_zh-CN Co-authored-by: MengzhangLI <mcmong@pku.edu.cn>
30 lines
992 B
Python
30 lines
992 B
Python
_base_ = [
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'../_base_/models/pspnet_r50-d8.py', '../_base_/datasets/cityscapes.py',
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'../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py'
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]
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img_norm_cfg = dict(
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mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)
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test_pipeline = [
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dict(type='LoadImageFromFile'),
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dict(
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type='MultiScaleFlipAug',
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img_scale=(1920, 1080),
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# img_ratios=[0.5, 0.75, 1.0, 1.25, 1.5, 1.75],
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flip=False,
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transforms=[
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dict(type='Resize', keep_ratio=True),
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dict(type='RandomFlip'),
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dict(type='Normalize', **img_norm_cfg),
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dict(type='ImageToTensor', keys=['img']),
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dict(type='Collect', keys=['img']),
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])
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]
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data = dict(
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test=dict(
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type='NightDrivingDataset',
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data_root='data/NighttimeDrivingTest/',
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img_dir='leftImg8bit/test/night',
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ann_dir='gtCoarse_daytime_trainvaltest/test/night',
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pipeline=test_pipeline))
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