mmdetection/configs/hrnet/fcos_hrnetv2p-w40-gn-head_ms-640-800-4xb4-2x_coco.py

_base_ = './fcos_hrnetv2p-w32-gn-head_ms-640-800-4xb4-2x_coco.py'
model = dict(
    backbone=dict(
        type='HRNet',
        extra=dict(
            stage2=dict(num_channels=(40, 80)),
            stage3=dict(num_channels=(40, 80, 160)),
            stage4=dict(num_channels=(40, 80, 160, 320))),
        init_cfg=dict(
            type='Pretrained', checkpoint='open-mmlab://msra/hrnetv2_w40')),
    neck=dict(type='HRFPN', in_channels=[40, 80, 160, 320], out_channels=256))