| _base_ = [ | |
| '../_base_/models/fpn_r50.py', '../_base_/datasets/FoodSeg103.py', | |
| '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' | |
| ] | |
| model = dict(pretrained='./pretrained_model/R50_ReLeM.pth', | |
| backbone=dict(type='ResNet'), | |
| decode_head=dict(num_classes=104)) | |
| optimizer_config = dict() | |
| runner = dict(type='IterBasedRunner', max_iters=80000) | |
| checkpoint_config = dict(by_epoch=False, interval=4000) | |
| evaluation = dict(interval=4000, metric='mIoU') | |