faceboxes笔记
【摘要】 https://github.com/zisianw/FaceBoxes.PyTorch/blob/master/models/faceboxes.py
开始的maxpooling不能去掉,去掉就变慢好几倍
inception和reitnaface很像
import torchimport torch.nn as nnimport torch.nn.fu...
https://github.com/zisianw/FaceBoxes.PyTorch/blob/master/models/faceboxes.py
开始的maxpooling不能去掉,去掉就变慢好几倍
inception和reitnaface很像
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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 BasicConv2d(nn.Module):
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def __init__(self, in_channels, out_channels, **kwargs):
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super(BasicConv2d, self).__init__()
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self.conv = nn.Conv2d(in_channels, out_channels, bias=False, **kwargs)
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self.bn = nn.BatchNorm2d(out_channels, eps=1e-5)
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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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return F.relu(x, inplace=True)
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class Inception(nn.Module):
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def __init__(self):
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super(Inception, self).__init__()
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self.branch1x1 = BasicConv2d(128, 32, kernel_size=1, padding=0)
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self.branch1x1_2 = BasicConv2d(128, 32, kern
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/104301869
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