mmocr/projects/ABCNet/abcnet/model/abcnet_rec_backbone.py
liukuikun 79a4b2042c
[Feature] abcnet v1 infer (#1598)
* bezier align

* Update projects/ABCNet/README.md

* Update projects/ABCNet/README.md

* update

* updata home readme

Co-authored-by: Tong Gao <gaotongxiao@gmail.com>
2022-12-06 16:47:02 +08:00

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)