Image Segmentation
Transformers
PyTorch
upernet
Inference Endpoints
File size: 367 Bytes
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_base_ = './fcn_hr18_512x512_80k_ade20k.py'
model = dict(
    pretrained='open-mmlab://msra/hrnetv2_w18_small',
    backbone=dict(
        extra=dict(
            stage1=dict(num_blocks=(2, )),
            stage2=dict(num_blocks=(2, 2)),
            stage3=dict(num_modules=3, num_blocks=(2, 2, 2)),
            stage4=dict(num_modules=2, num_blocks=(2, 2, 2, 2)))))