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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'
- ]
- # please install mmpretrain
- # import mmpretrain.models to trigger register_module in mmpretrain
- custom_imports = dict(
- imports=['mmpretrain.models'], allow_failed_imports=False)
- model = dict(
- backbone=dict(
- _delete_=True,
- type='mmpretrain.TIMMBackbone',
- model_name='efficientnet_b1',
- features_only=True,
- pretrained=True,
- out_indices=(1, 2, 3, 4)),
- neck=dict(in_channels=[24, 40, 112, 320]))
- # optimizer
- optim_wrapper = dict(optimizer=dict(lr=0.01))
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