| _base_ = './retinanet_regnetx-3.2GF_fpn_1x_coco.py' | |
| model = dict( | |
| pretrained='open-mmlab://regnetx_1.6gf', | |
| backbone=dict( | |
| type='RegNet', | |
| arch='regnetx_1.6gf', | |
| out_indices=(0, 1, 2, 3), | |
| frozen_stages=1, | |
| norm_cfg=dict(type='BN', requires_grad=True), | |
| norm_eval=True, | |
| style='pytorch'), | |
| neck=dict( | |
| type='FPN', | |
| in_channels=[72, 168, 408, 912], | |
| out_channels=256, | |
| num_outs=5)) | |