retinanet_r18_fpn_8xb8-amp-lsj-200e_coco.py 237 B

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  1. _base_ = './retinanet_r50_fpn_8xb8-amp-lsj-200e_coco.py'
  2. model = dict(
  3. backbone=dict(
  4. depth=18,
  5. init_cfg=dict(type='Pretrained', checkpoint='torchvision://resnet18')),
  6. neck=dict(in_channels=[64, 128, 256, 512]))