mirror of
https://github.com/open-mmlab/mmocr.git
synced 2025-06-03 21:54:47 +08:00
54 lines
1.6 KiB
Python
54 lines
1.6 KiB
Python
|
# Copyright (c) OpenMMLab. All rights reserved.
|
||
|
|
import torch.nn as nn
|
||
|
|
from mmcv.cnn import ConvModule
|
||
|
|
from mmengine.model import BaseModule, Sequential
|
||
|
|
|
||
|
|
from mmocr.registry import MODELS
|
||
|
|
|
||
|
|
|
||
|
|
@MODELS.register_module()
|
||
|
|
class ABCNetRecBackbone(BaseModule):
|
||
|
|
|
||
|
|
def __init__(self, init_cfg=None):
|
||
|
|
super().__init__(init_cfg)
|
||
|
|
|
||
|
|
self.convs = Sequential(
|
||
|
|
ConvModule(
|
||
|
|
in_channels=256,
|
||
|
|
out_channels=256,
|
||
|
|
kernel_size=3,
|
||
|
|
padding=1,
|
||
|
|
bias='auto',
|
||
|
|
norm_cfg=dict(type='BN'),
|
||
|
|
act_cfg=dict(type='ReLU')),
|
||
|
|
ConvModule(
|
||
|
|
in_channels=256,
|
||
|
|
out_channels=256,
|
||
|
|
kernel_size=3,
|
||
|
|
padding=1,
|
||
|
|
bias='auto',
|
||
|
|
norm_cfg=dict(type='BN'),
|
||
|
|
act_cfg=dict(type='ReLU')),
|
||
|
|
ConvModule(
|
||
|
|
in_channels=256,
|
||
|
|
out_channels=256,
|
||
|
|
kernel_size=3,
|
||
|
|
padding=1,
|
||
|
|
stride=(2, 1),
|
||
|
|
bias='auto',
|
||
|
|
norm_cfg=dict(type='GN', num_groups=32),
|
||
|
|
act_cfg=dict(type='ReLU')),
|
||
|
|
ConvModule(
|
||
|
|
in_channels=256,
|
||
|
|
out_channels=256,
|
||
|
|
kernel_size=3,
|
||
|
|
padding=1,
|
||
|
|
stride=(2, 1),
|
||
|
|
bias='auto',
|
||
|
|
norm_cfg=dict(type='GN', num_groups=32),
|
||
|
|
act_cfg=dict(type='ReLU')),
|
||
|
|
nn.AvgPool2d(kernel_size=(2, 1), stride=1))
|
||
|
|
|
||
|
|
def forward(self, x):
|
||
|
|
return self.convs(x)
|