snnetv2-semantic-segmentation / configs /bisenetv1 /bisenetv1_r18-d32-in1k-pre_4xb4-160k_coco-stuff164k-512x512.py
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_base_ = './bisenetv1_r18-d32_4xb4-160k_coco-stuff164k-512x512.py'
crop_size = (512, 512)
data_preprocessor = dict(size=crop_size)
model = dict(
data_preprocessor=data_preprocessor,
backbone=dict(
backbone_cfg=dict(
init_cfg=dict(
type='Pretrained', checkpoint='open-mmlab://resnet18_v1c'))),
)