mmsegmentation/configs/unet/pspnet_unet_s5-d16_256x256_...

_base_ = [
    '../_base_/models/pspnet_unet_s5-d16.py', '../_base_/datasets/hrf.py',
    '../_base_/default_runtime.py', '../_base_/schedules/schedule_40k.py'
]
crop_size = (256, 256)
preprocess_cfg = dict(size=crop_size)
model = dict(
    preprocess_cfg=preprocess_cfg,
    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			`_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/pspnet_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'`
			`]`
[Refactor] Refactor decode_head and segmentors and add preprocess_cfg 2022-06-10 22:02:40 +08:00			`crop_size = (256, 256)`
			`preprocess_cfg = dict(size=crop_size)`
			`model = dict(`
			`preprocess_cfg=preprocess_cfg,`
			`test_cfg=dict(crop_size=(256, 256), stride=(170, 170)))`