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- _base_ = './vfnet_r50_fpn_1x_coco.py'
- model = dict(
- backbone=dict(
- depth=101,
- init_cfg=dict(type='Pretrained',
- checkpoint='torchvision://resnet101')))
- # learning policy
- max_epochs = 24
- param_scheduler = [
- dict(type='LinearLR', start_factor=0.1, by_epoch=False, begin=0, end=500),
- dict(
- type='MultiStepLR',
- begin=0,
- end=max_epochs,
- by_epoch=True,
- milestones=[16, 22],
- gamma=0.1)
- ]
- train_cfg = dict(max_epochs=max_epochs)
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