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# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
# dataset settings
dataset_type = 'RefCocoDataset'
data_root = 'data/coco/'
backend_args = None
test_pipeline = [
dict(type='LoadImageFromFile', backend_args=backend_args),
dict(type='Resize', scale=(1333, 800), keep_ratio=True),
dict(
type='LoadAnnotations',
with_mask=True,
with_bbox=False,
with_seg=False,
with_label=False),
dict(
type='PackDetInputs',
meta_keys=('img_id', 'img_path', 'ori_shape', 'img_shape',
'scale_factor', 'gt_masks', 'text'))
]
val_dataloader = dict(
batch_size=1,
num_workers=2,
persistent_workers=True,
drop_last=False,
sampler=dict(type='DefaultSampler', shuffle=False),
dataset=dict(
type=dataset_type,
data_root=data_root,
data_prefix=dict(img_path='train2014/'),
ann_file='refcoco+/instances.json',
split_file='refcoco+/refs(unc).p',
split='val',
text_mode='select_first',
pipeline=test_pipeline))
test_dataloader = dict(
batch_size=1,
num_workers=2,
persistent_workers=True,
drop_last=False,
sampler=dict(type='DefaultSampler', shuffle=False),
dataset=dict(
type=dataset_type,
data_root=data_root,
data_prefix=dict(img_path='train2014/'),
ann_file='refcoco+/instances.json',
split_file='refcoco+/refs(unc).p',
split='testA', # or 'testB'
text_mode='select_first',
pipeline=test_pipeline))
val_evaluator = dict(type='RefSegMetric', metric=['cIoU', 'mIoU'])
test_evaluator = val_evaluator
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