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- _base_ = [
- '../_base_/models/retinanet_r50_fpn.py',
- '../_base_/datasets/coco_detection.py',
- '../_base_/schedules/schedule_1x.py', '../_base_/default_runtime.py'
- ]
- # training schedule for 2x
- train_cfg = dict(max_epochs=24)
- # 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=24,
- by_epoch=True,
- milestones=[16, 22],
- gamma=0.1)
- ]
- # optimizer
- optim_wrapper = dict(
- optimizer=dict(type='SGD', lr=0.01, momentum=0.9, weight_decay=0.0001))
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