TTP / mmdet /configs /common /lsj_200e_coco_instance.py
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# Copyright (c) OpenMMLab. All rights reserved.
# Please refer to https://mmengine.readthedocs.io/en/latest/advanced_tutorials/config.html#a-pure-python-style-configuration-file-beta for more details. # noqa
# mmcv >= 2.0.1
# mmengine >= 0.8.0
from mmengine.config import read_base
with read_base():
from .lsj_100e_coco_instance import *
# 8x25=200e
train_dataloader.update(dict(dataset=dict(times=8)))
# learning rate
param_scheduler = [
dict(type=LinearLR, start_factor=0.067, by_epoch=False, begin=0, end=1000),
dict(
type=MultiStepLR,
begin=0,
end=25,
by_epoch=True,
milestones=[22, 24],
gamma=0.1)
]