Update model_configs/CVRP_mask2former.py
Browse files
model_configs/CVRP_mask2former.py
CHANGED
@@ -96,8 +96,8 @@ data_preprocessor = dict(
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57.375,
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],
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type='SegDataPreProcessor')
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data_root = '
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dataset_type = '
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default_hooks = dict(
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checkpoint=dict(
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by_epoch=False,
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@@ -424,7 +424,7 @@ test_dataloader = dict(
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batch_size=1,
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dataset=dict(
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data_prefix=dict(img_path='img_dir/val', seg_map_path='ann_dir/val'),
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-
data_root='
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pipeline=[
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dict(type='LoadImageFromFile'),
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dict(keep_ratio=True, scale=(
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@@ -434,7 +434,7 @@ test_dataloader = dict(
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dict(type='LoadAnnotations'),
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dict(type='PackSegInputs'),
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],
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type='
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num_workers=4,
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persistent_workers=True,
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sampler=dict(shuffle=False, type='DefaultSampler'))
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@@ -459,7 +459,7 @@ train_dataloader = dict(
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dataset=dict(
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data_prefix=dict(
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img_path='img_dir/train', seg_map_path='ann_dir/train'),
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data_root='
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pipeline=[
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dict(type='LoadImageFromFile'),
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dict(type='LoadAnnotations'),
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@@ -483,7 +483,7 @@ train_dataloader = dict(
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dict(type='PhotoMetricDistortion'),
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dict(type='PackSegInputs'),
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],
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type='
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num_workers=2,
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persistent_workers=True,
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sampler=dict(shuffle=True, type='InfiniteSampler'))
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@@ -540,7 +540,7 @@ val_dataloader = dict(
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batch_size=1,
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dataset=dict(
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data_prefix=dict(img_path='img_dir/val', seg_map_path='ann_dir/val'),
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-
data_root='
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pipeline=[
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dict(type='LoadImageFromFile'),
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dict(keep_ratio=True, scale=(
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@@ -550,7 +550,7 @@ val_dataloader = dict(
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dict(type='LoadAnnotations'),
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dict(type='PackSegInputs'),
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],
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-
type='
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num_workers=4,
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persistent_workers=True,
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sampler=dict(shuffle=False, type='DefaultSampler'))
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@@ -569,4 +569,4 @@ visualizer = dict(
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vis_backends=[
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dict(type='LocalVisBackend'),
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])
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work_dir = './work_dirs/
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57.375,
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],
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type='SegDataPreProcessor')
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data_root = 'CVRPDataset/'
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dataset_type = 'CVRPDataset'
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default_hooks = dict(
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checkpoint=dict(
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by_epoch=False,
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batch_size=1,
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dataset=dict(
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data_prefix=dict(img_path='img_dir/val', seg_map_path='ann_dir/val'),
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data_root='CVRPDataset/',
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pipeline=[
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dict(type='LoadImageFromFile'),
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dict(keep_ratio=True, scale=(
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dict(type='LoadAnnotations'),
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dict(type='PackSegInputs'),
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],
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type='CVRPDataset'),
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num_workers=4,
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persistent_workers=True,
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sampler=dict(shuffle=False, type='DefaultSampler'))
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dataset=dict(
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data_prefix=dict(
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img_path='img_dir/train', seg_map_path='ann_dir/train'),
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data_root='CVRPDataset/',
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pipeline=[
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dict(type='LoadImageFromFile'),
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dict(type='LoadAnnotations'),
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dict(type='PhotoMetricDistortion'),
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dict(type='PackSegInputs'),
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],
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type='CVRPDataset'),
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num_workers=2,
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persistent_workers=True,
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sampler=dict(shuffle=True, type='InfiniteSampler'))
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batch_size=1,
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dataset=dict(
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data_prefix=dict(img_path='img_dir/val', seg_map_path='ann_dir/val'),
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data_root='CVRPDataset/',
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pipeline=[
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dict(type='LoadImageFromFile'),
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dict(keep_ratio=True, scale=(
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dict(type='LoadAnnotations'),
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dict(type='PackSegInputs'),
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],
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type='CVRPDataset'),
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num_workers=4,
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persistent_workers=True,
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sampler=dict(shuffle=False, type='DefaultSampler'))
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vis_backends=[
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dict(type='LocalVisBackend'),
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])
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work_dir = './work_dirs/CVRPDataset_mask2former'
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