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mmsegmentation/configs/unet/fcn_unet_s5-d16_256x256_40k...

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Add 4 retinal vessel segmentation benchmark (#315) * add 4 retinal vessel segmentation configs of UNet * fix flip augmentation * add unet benchmark on 4 medical datasets * fix hrf bug
2020-12-24 15:58:09 +08:00
_base_ = [
Add more UNet-based medical segmentation benchmark (#324) * Add UNet as backbone and FCN PSPNet DeepLabV3 as decode_head benchmark on 4 retinal vessel segmentation datasets * adjust README of UNet
2021-01-11 16:07:59 +08:00
'../_base_/models/fcn_unet_s5-d16.py', '../_base_/datasets/hrf.py',
Add 4 retinal vessel segmentation benchmark (#315) * add 4 retinal vessel segmentation configs of UNet * fix flip augmentation * add unet benchmark on 4 medical datasets * fix hrf bug
2020-12-24 15:58:09 +08:00
'../_base_/default_runtime.py', '../_base_/schedules/schedule_40k.py'
]
test_cfg = dict(crop_size=(256, 256), stride=(170, 170))
evaluation = dict(metric='mDice')