peleenet v2不好
【摘要】 网络输出是48,
这个效果不好,不知道为啥
growth_rate 是通道增长步长
代码:
import timefrom collections import OrderedDict import torch import torch.nn as nnimport torch.nn.functional as F class conv_bn_relu(nn.Modu...
网络输出是48,
这个效果不好,不知道为啥
growth_rate 是通道增长步长
代码:
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import time
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from collections import OrderedDict
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import torch
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import torch.nn as nn
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import torch.nn.functional as F
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class conv_bn_relu(nn.Module):
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def __init__(self, nin, nout, kernel_size, stride, padding, bias=False):
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super(conv_bn_relu, self).__init__()
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self.conv = nn.Conv2d(nin, nout, kernel_size=kernel_size, stride=stride, padding=padding, bias=bias)
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self.batch_norm = nn.BatchNorm2d(nout)
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self.relu = nn.ReLU6(True)
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# self.relu = mish.Mish()
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def forward(self, x):
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out = self.conv(x)
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out = self.batch_norm(out)
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out = self.relu(out)
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return out
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class Transition_layer(nn.Sequential):
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def __init__(self, nin, theta=1):
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super(Transition_layer, self).__init__()
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self.add_module('conv_1x1&#
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/103631373
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