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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'
- ]
- model = dict(
- type='RetinaNet',
- backbone=dict(
- _delete_=True,
- type='PyramidVisionTransformer',
- num_layers=[2, 2, 2, 2],
- init_cfg=dict(checkpoint='https://github.com/whai362/PVT/'
- 'releases/download/v2/pvt_tiny.pth')),
- neck=dict(in_channels=[64, 128, 320, 512]))
- # optimizer
- optim_wrapper = dict(
- optimizer=dict(
- _delete_=True, type='AdamW', lr=0.0001, weight_decay=0.0001))
|
