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- _base_ = 'retinanet_r50_fpn_1x_coco.py'
- # training schedule for 90k
- train_cfg = dict(
- _delete_=True,
- type='IterBasedTrainLoop',
- max_iters=90000,
- val_interval=10000)
- # learning rate policy
- param_scheduler = [
- dict(
- type='LinearLR', start_factor=0.001, by_epoch=False, begin=0, end=500),
- dict(
- type='MultiStepLR',
- begin=0,
- end=90000,
- by_epoch=False,
- milestones=[60000, 80000],
- gamma=0.1)
- ]
- train_dataloader = dict(sampler=dict(type='InfiniteSampler'))
- default_hooks = dict(checkpoint=dict(by_epoch=False, interval=10000))
- log_processor = dict(by_epoch=False)
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