mmsegmentation/configs/unet/deeplabv3_unet_s5-d16_256x256_40k_hrf.py

_base_ = [
    '../_base_/models/deeplabv3_unet_s5-d16.py', '../_base_/datasets/hrf.py',
    '../_base_/default_runtime.py', '../_base_/schedules/schedule_40k.py'
]
model = dict(test_cfg=dict(crop_size=(256, 256), stride=(170, 170)))
evaluation = dict(metric='mDice')
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/deeplabv3_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'`
			`]`
[Improvement] Move train_cfg/test_cfg inside model (#341) * [Improvement] Move train_cfg/test_cfg inside model * fixed config dict * fixed config dict 2021-01-19 17:06:23 -08:00			`model = dict(test_cfg=dict(crop_size=(256, 256), stride=(170, 170)))`
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			`evaluation = dict(metric='mDice')`