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- _base_ = 'retinanet_r50_fpn_1x_coco.py'
-
- # learning policy
- lr_config = dict(
- policy='step',
- warmup='linear',
- warmup_iters=500,
- warmup_ratio=0.001,
- step=[60000, 80000])
-
- # Runner type
- runner = dict(_delete_=True, type='IterBasedRunner', max_iters=90000)
-
- checkpoint_config = dict(interval=10000)
- evaluation = dict(interval=10000, metric='bbox')
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