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- _base_ = './retinanet_r50-caffe_fpn_1x_coco.py'
- train_pipeline = [
- dict(type='LoadImageFromFile'),
- dict(type='LoadAnnotations', with_bbox=True),
- dict(
- type='RandomChoiceResize',
- scale=[(1333, 640), (1333, 672), (1333, 704), (1333, 736), (1333, 768),
- (1333, 800)],
- keep_ratio=True),
- dict(type='RandomFlip', prob=0.5),
- dict(type='PackDetInputs')
- ]
- train_dataloader = dict(dataset=dict(pipeline=train_pipeline))
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