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uniformer_image_detection
/
configs
/hrnet
/fcos_hrnetv2p_w40_gn-head_mstrain_640-800_4x4_2x_coco.py
_base_ = './fcos_hrnetv2p_w32_gn-head_mstrain_640-800_4x4_2x_coco.py' | |
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)) | |