pvanet 检测
【摘要】
tf的
https://github.com/lxyzler/EAST-PVANET
import time import torchimport torchvisionimport torch.nn as nnimport torch.nn.functional as Ffrom utils import * # XXX: Not te...
tf的
https://github.com/lxyzler/EAST-PVANET
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import time
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import torch
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import torchvision
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import torch.nn as nn
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import torch.nn.functional as F
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from utils import *
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# XXX: Not tested
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class CReLU(nn.Module):
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def __init__(self, act=F.relu):
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super(CReLU, self).__init__()
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self.act = act
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def forward(self, x):
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x = torch.cat((x, -x), 1)
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x = self.act(x)
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return x
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class ConvBnAct(nn.Module):
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def __init__(self, n_in, n_out, **kwargs):
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super(ConvBnAct, self).__init__()
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self.conv = nn.Conv2d(n_in, n_out, bias=False, **kwargs)
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self.bn = nn.BatchNorm2d(n_out)
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self.act = F.relu
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def forward(self, x):
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x = self.conv(x)
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x = self.bn(x)
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x = self.act(x)
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return x
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class mCReLU_base(nn.Module):
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def __init__(self, n_i
文章来源: blog.csdn.net,作者:网奇,版权归原作者所有,如需转载,请联系作者。
原文链接:blog.csdn.net/jacke121/article/details/104595643
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