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- _base_ = './mask-rcnn_r50_fpn_gn-ws-all_2x_coco.py'
- # learning policy
- max_epochs = 24
- train_cfg = dict(max_epochs=max_epochs)
- # learning rate
- param_scheduler = [
- dict(
- type='LinearLR', start_factor=0.001, by_epoch=False, begin=0, end=500),
- dict(
- type='MultiStepLR',
- begin=0,
- end=max_epochs,
- by_epoch=True,
- milestones=[20, 23],
- gamma=0.1)
- ]
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