Image Segmentation
Transformers
PyTorch
upernet
Inference Endpoints
test2 / configs /foodnet /ccnet_r50-d8_512x1024_80k_RM.py
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_base_ = [
'../_base_/models/ccnet_r50-d8.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'))