mmpretrain/configs/_base_/datasets/nocaps.py

42 lines
1004 B
Python

# data settings
data_preprocessor = dict(
type='MultiModalDataPreprocessor',
mean=[122.770938, 116.7460125, 104.09373615],
std=[68.5005327, 66.6321579, 70.32316305],
to_rgb=True,
)
test_pipeline = [
dict(type='LoadImageFromFile'),
dict(
type='Resize',
scale=(384, 384),
interpolation='bicubic',
backend='pillow'),
dict(type='PackInputs', meta_keys=['image_id']),
]
val_dataloader = dict(
batch_size=16,
num_workers=5,
dataset=dict(
type='NoCaps',
data_root='data/nocaps/',
data_prefix=dict(img_path='images/'),
ann_file='annotations/nocaps_val_4500_captions.json',
pipeline=test_pipeline,
),
sampler=dict(type='DefaultSampler', shuffle=False),
persistent_workers=True,
)
val_evaluator = dict(
type='NocapsSave',
save_dir='./',
)
# # If you want standard test, please manually configure the test dataset
test_dataloader = val_dataloader
test_evaluator = val_evaluator