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- _base_ = './solov2_r50_fpn_1x_coco.py'
- train_pipeline = [
- dict(type='LoadImageFromFile', backend_args={{_base_.backend_args}}),
- dict(type='LoadAnnotations', with_bbox=True, with_mask=True),
- dict(
- type='RandomChoiceResize',
- scales=[(1333, 800), (1333, 768), (1333, 736), (1333, 704),
- (1333, 672), (1333, 640)],
- keep_ratio=True),
- dict(type='RandomFlip', prob=0.5),
- dict(type='PackDetInputs')
- ]
- train_dataloader = dict(dataset=dict(pipeline=train_pipeline))
- # training schedule for 3x
- max_epochs = 36
- train_cfg = dict(max_epochs=max_epochs)
- # learning rate
- param_scheduler = [
- dict(
- type='LinearLR',
- start_factor=1.0 / 3,
- by_epoch=False,
- begin=0,
- end=500),
- dict(
- type='MultiStepLR',
- begin=0,
- end=36,
- by_epoch=True,
- milestones=[27, 33],
- gamma=0.1)
- ]
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