mmsegmentation/configs/unet/unet-s5-d16_fcn_4xb4-40k_chase-db1-128x128.py

_base_ = [
    '../_base_/models/fcn_unet_s5-d16.py', '../_base_/datasets/chase_db1.py',
    '../_base_/default_runtime.py', '../_base_/schedules/schedule_40k.py'
]
crop_size = (128, 128)
data_preprocessor = dict(size=crop_size)
model = dict(
    data_preprocessor=data_preprocessor,
    test_cfg=dict(crop_size=(128, 128), stride=(85, 85)))
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/chase_db1.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'`
			`]`
[Refactor] Refactor decode_head and segmentors and add preprocess_cfg 2022-06-10 14:02:40 +00:00			`crop_size = (128, 128)`
[Refactory] Refactory BaseSegmentor based BaseModel 2022-06-19 06:32:09 +00:00			`data_preprocessor = dict(size=crop_size)`
[Refactor] Refactor decode_head and segmentors and add preprocess_cfg 2022-06-10 14:02:40 +00:00			`model = dict(`
[Refactory] Refactory BaseSegmentor based BaseModel 2022-06-19 06:32:09 +00:00			`data_preprocessor=data_preprocessor,`
[Refactor] Refactor decode_head and segmentors and add preprocess_cfg 2022-06-10 14:02:40 +00:00			`test_cfg=dict(crop_size=(128, 128), stride=(85, 85)))`