Image Segmentation
Transformers
PyTorch
upernet
Inference Endpoints
File size: 439 Bytes
b13b124
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
_base_ = '../deeplabv3plus/deeplabv3plus_r101-d8_512x1024_80k_cityscapes.py'
model = dict(
    pretrained='mmcls://mobilenet_v2',
    backbone=dict(
        _delete_=True,
        type='MobileNetV2',
        widen_factor=1.,
        strides=(1, 2, 2, 1, 1, 1, 1),
        dilations=(1, 1, 1, 2, 2, 4, 4),
        out_indices=(1, 2, 4, 6)),
    decode_head=dict(in_channels=320, c1_in_channels=24),
    auxiliary_head=dict(in_channels=96))