zhoujun 68099c2d5b
add db for benchmark (#8959)
* Add custom detection and recognition model usage instructions in re

* update

* Add custom detection and recognition model usage instructions in re

* add db net for benchmark

* rename benckmark to PaddleOCR_benchmark

* add addict to req

* rename
2023-02-08 15:52:30 +08:00

38 lines
996 B
Python

# -*- coding: utf-8 -*-
# @Time : 2019/12/6 11:19
# @Author : zhoujun
from paddle import nn
class ConvBnRelu(nn.Layer):
def __init__(self,
in_channels,
out_channels,
kernel_size,
stride=1,
padding=0,
dilation=1,
groups=1,
bias=True,
padding_mode='zeros',
inplace=True):
super().__init__()
self.conv = nn.Conv2D(
in_channels=in_channels,
out_channels=out_channels,
kernel_size=kernel_size,
stride=stride,
padding=padding,
dilation=dilation,
groups=groups,
bias_attr=bias,
padding_mode=padding_mode)
self.bn = nn.BatchNorm2D(out_channels)
self.relu = nn.ReLU()
def forward(self, x):
x = self.conv(x)
x = self.bn(x)
x = self.relu(x)
return x