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56 lines
1.9 KiB
Python
Executable File
56 lines
1.9 KiB
Python
Executable File
dataset_type = 'CityscapesDataset'
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data_root = 'data/cityscapes/'
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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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train_pipeline = [
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dict(type='LoadImageFromFile'),
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dict(type='LoadAnnotations', with_bbox=True, with_mask=True),
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dict(
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type='Resize', img_scale=[(2048, 800), (2048, 1024)], keep_ratio=True),
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dict(type='RandomFlip', flip_ratio=0.5),
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dict(type='Normalize', **img_norm_cfg),
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dict(type='Pad', size_divisor=32),
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dict(type='DefaultFormatBundle'),
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dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels', 'gt_masks']),
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]
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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=(2048, 1024),
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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='Pad', size_divisor=32),
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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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samples_per_gpu=1,
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workers_per_gpu=2,
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train=dict(
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type='RepeatDataset',
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times=8,
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dataset=dict(
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type=dataset_type,
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ann_file=data_root +
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'annotations/instancesonly_filtered_gtFine_train.json',
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img_prefix=data_root + 'leftImg8bit/train/',
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pipeline=train_pipeline)),
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val=dict(
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type=dataset_type,
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ann_file=data_root +
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'annotations/instancesonly_filtered_gtFine_val.json',
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img_prefix=data_root + 'leftImg8bit/val/',
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pipeline=test_pipeline),
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test=dict(
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type=dataset_type,
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ann_file=data_root +
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'annotations/instancesonly_filtered_gtFine_test.json',
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img_prefix=data_root + 'leftImg8bit/test/',
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pipeline=test_pipeline))
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evaluation = dict(metric=['bbox', 'segm'])
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