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# dataset settings
_base_ = 'lvis_v0.5_instance.py'
dataset_type = 'LVISV1Dataset'
data_root = 'data/lvis_v1/'
train_dataloader = dict(
dataset=dict(
dataset=dict(
type=dataset_type,
data_root=data_root,
ann_file='annotations/lvis_v1_train.json',
data_prefix=dict(img=''))))
val_dataloader = dict(
dataset=dict(
type=dataset_type,
data_root=data_root,
ann_file='annotations/lvis_v1_val.json',
data_prefix=dict(img='')))
test_dataloader = val_dataloader
val_evaluator = dict(ann_file=data_root + 'annotations/lvis_v1_val.json')
test_evaluator = val_evaluator
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