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- _base_ = ['./masktrack-rcnn_mask-rcnn_r50_fpn_8xb1-12e_youtubevis2019.py']
- model = dict(
- detector=dict(
- backbone=dict(
- depth=101,
- init_cfg=dict(
- type='Pretrained', checkpoint='torchvision://resnet101')),
- init_cfg=dict(
- type='Pretrained',
- checkpoint= # noqa: E251
- 'https://download.openmmlab.com/mmdetection/v2.0/mask_rcnn/mask_rcnn_r101_fpn_1x_coco/mask_rcnn_r101_fpn_1x_coco_20200204-1efe0ed5.pth' # noqa: E501
- )))
- data_root = 'data/youtube_vis_2021/'
- dataset_version = data_root[-5:-1]
- # dataloader
- train_dataloader = dict(
- dataset=dict(
- data_root=data_root,
- dataset_version=dataset_version,
- ann_file='annotations/youtube_vis_2021_train.json'))
- val_dataloader = dict(
- dataset=dict(
- data_root=data_root,
- dataset_version=dataset_version,
- ann_file='annotations/youtube_vis_2021_valid.json'))
- test_dataloader = val_dataloader
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