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_base_ = './cascade_mask_rcnn_hrnetv2p_w32_20e_coco.py'
# model settings
model = dict(
pretrained='open-mmlab://msra/hrnetv2_w18',
backbone=dict(
extra=dict(
stage2=dict(num_channels=(18, 36)),
stage3=dict(num_channels=(18, 36, 72)),
stage4=dict(num_channels=(18, 36, 72, 144)))),
neck=dict(type='HRFPN', in_channels=[18, 36, 72, 144], out_channels=256))
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