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_base_ = './cascade_rcnn_hrnetv2p_w32_20e_coco.py'
# model settings
model = dict(
pretrained='open-mmlab://msra/hrnetv2_w40',
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)))),
neck=dict(type='HRFPN', in_channels=[40, 80, 160, 320], out_channels=256))
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