_base_ = './retinanet_ghm_r50_fpn_1x_coco.py' | |
model = dict( | |
backbone=dict( | |
type='ResNeXt', | |
depth=101, | |
groups=64, | |
base_width=4, | |
num_stages=4, | |
out_indices=(0, 1, 2, 3), | |
frozen_stages=1, | |
norm_cfg=dict(type='BN', requires_grad=True), | |
style='pytorch', | |
init_cfg=dict( | |
type='Pretrained', checkpoint='open-mmlab://resnext101_64x4d'))) | |