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snnetv2-semantic-segmentation
/
configs
/pspnet
/pspnet_r50-d8_4xb2-80k_cityscapes-512x1024_dark-zurich-1920x1080.py
| _base_ = [ | |
| '../_base_/models/pspnet_r50-d8.py', '../_base_/datasets/cityscapes.py', | |
| '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.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='DarkZurichDataset', | |
| data_root='data/dark_zurich/', | |
| data_prefix=dict( | |
| img_path='rgb_anon/val/night/GOPR0356', | |
| seg_map_path='gt/val/night/GOPR0356'), | |
| pipeline=test_pipeline)) | |