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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_type = 'YouTubeVISDataset' | |
data_root = 'data/youtube_vis_2019/' | |
dataset_version = data_root[-5:-1] # 2019 or 2021 | |
backend_args = None | |
# dataset settings | |
train_pipeline = [ | |
dict( | |
type='UniformRefFrameSample', | |
num_ref_imgs=1, | |
frame_range=100, | |
filter_key_img=True), | |
dict( | |
type='TransformBroadcaster', | |
share_random_params=True, | |
transforms=[ | |
dict(type='LoadImageFromFile', backend_args=backend_args), | |
dict(type='LoadTrackAnnotations', with_mask=True), | |
dict(type='Resize', scale=(640, 360), keep_ratio=True), | |
dict(type='RandomFlip', prob=0.5), | |
]), | |
dict(type='PackTrackInputs') | |
] | |
test_pipeline = [ | |
dict( | |
type='TransformBroadcaster', | |
transforms=[ | |
dict(type='LoadImageFromFile', backend_args=backend_args), | |
dict(type='Resize', scale=(640, 360), keep_ratio=True), | |
dict(type='LoadTrackAnnotations', with_mask=True), | |
]), | |
dict(type='PackTrackInputs') | |
] | |
# dataloader | |
train_dataloader = dict( | |
batch_size=2, | |
num_workers=2, | |
persistent_workers=True, | |
# sampler=dict(type='TrackImgSampler'), # image-based sampling | |
sampler=dict(type='DefaultSampler', shuffle=True), | |
batch_sampler=dict(type='TrackAspectRatioBatchSampler'), | |
dataset=dict( | |
type=dataset_type, | |
data_root=data_root, | |
dataset_version=dataset_version, | |
ann_file='annotations/youtube_vis_2019_train.json', | |
data_prefix=dict(img_path='train/JPEGImages'), | |
pipeline=train_pipeline)) | |
val_dataloader = dict( | |
batch_size=1, | |
num_workers=2, | |
persistent_workers=True, | |
drop_last=False, | |
sampler=dict(type='DefaultSampler', shuffle=False, round_up=False), | |
dataset=dict( | |
type=dataset_type, | |
data_root=data_root, | |
dataset_version=dataset_version, | |
ann_file='annotations/youtube_vis_2019_valid.json', | |
data_prefix=dict(img_path='valid/JPEGImages'), | |
test_mode=True, | |
pipeline=test_pipeline)) | |
test_dataloader = val_dataloader | |