devbox
羊村懒王
这个屌丝很懒，什么也没留下！
关注作者
热门标签
热门文章
当前位置:   article > 正文

ResNet-18 Caffemodel and prototxt_resnet18.caffemodel

作者：羊村懒王 | 2024-03-22 21:17:18

赞

踩

resnet18.caffemodel

GitHub: https://github.com/HolmesShuan/ResNet-18-Caffemodel-on-ImageNet


Prototxt:

  1. name: "ResNet-18"
  2. layer {
  3.     name: "data"
  4.     type: "Data"
  5.     top: "data"
  6.     top: "label"
  7.     include {
  8.         phase: TRAIN
  9.     }
  10.     transform_param {
  11.         mirror: true
  12.         crop_size: 224
  13.         mean_value: 104
  14.         mean_value: 117
  15.         mean_value: 123
  16.     }
  17.     data_param {
  18.         source: "../ilsvrc2012/ilsvrc2012_shrt_256_train"
  19.         batch_size: 100
  20.         backend: LMDB
  21.     }
  22. }
  23. layer {
  24.     name: "data"
  25.     type: "Data"
  26.     top: "data"
  27.     top: "label"
  28.     include {
  29.         phase: TEST
  30.     }
  31.     transform_param {
  32.         mirror: false
  33.         crop_size: 224
  34.         mean_value: 104
  35.         mean_value: 117
  36.         mean_value: 123
  37.     }
  38.     data_param {
  39.         source: "../ilsvrc2012/ilsvrc2012_shrt_256_val"
  40.         batch_size: 50
  41.         backend: LMDB
  42.     }
  43. }
  44.  
  45. layer {
  46.     bottom: "data"
  47.     top: "conv1"
  48.     name: "conv1"
  49.     type: "Convolution"
  50.     convolution_param {
  51.         num_output: 64
  52.         kernel_size: 7
  53.         pad: 3
  54.         stride: 2
  55.         weight_filler {
  56.             type: "msra"
  57.         }
  58.         bias_term: false
  59.  
  60.     }
  61. }
  62.  
  63. layer {
  64.     bottom: "conv1"
  65.     top: "conv1"
  66.     name: "bn_conv1"
  67.     type: "BatchNorm"
  68.     
  69. }
  70.  
  71. layer {
  72.     bottom: "conv1"
  73.     top: "conv1"
  74.     name: "scale_conv1"
  75.     type: "Scale"
  76.     scale_param {
  77.         bias_term: true
  78.     }
  79. }
  80.  
  81. layer {
  82.     bottom: "conv1"
  83.     top: "conv1"
  84.     name: "conv1_relu"
  85.     type: "ReLU"
  86. }
  87.  
  88. layer {
  89.     bottom: "conv1"
  90.     top: "pool1"
  91.     name: "pool1"
  92.     type: "Pooling"
  93.     pooling_param {
  94.         kernel_size: 3
  95.         stride: 2
  96.         pool: MAX
  97.     }
  98. }
  99.  
  100. layer {
  101.     bottom: "pool1"
  102.     top: "res2a_branch1"
  103.     name: "res2a_branch1"
  104.     type: "Convolution"
  105.     convolution_param {
  106.         num_output: 64
  107.         kernel_size: 1
  108.         pad: 0
  109.         stride: 1
  110.         weight_filler {
  111.             type: "msra"
  112.         }
  113.         bias_term: false
  114.  
  115.     }
  116. }
  117.  
  118. layer {
  119.     bottom: "res2a_branch1"
  120.     top: "res2a_branch1"
  121.     name: "bn2a_branch1"
  122.     type: "BatchNorm"
  123.     
  124. }
  125.  
  126. layer {
  127.     bottom: "res2a_branch1"
  128.     top: "res2a_branch1"
  129.     name: "scale2a_branch1"
  130.     type: "Scale"
  131.     scale_param {
  132.         bias_term: true
  133.     }
  134. }
  135.  
  136. layer {
  137.     bottom: "pool1"
  138.     top: "res2a_branch2a"
  139.     name: "res2a_branch2a"
  140.     type: "Convolution"
  141.     convolution_param {
  142.         num_output: 64
  143.         kernel_size: 3
  144.         pad: 1
  145.         stride: 1
  146.         weight_filler {
  147.             type: "msra"
  148.         }
  149.         bias_term: false
  150.  
  151.     }
  152. }
  153.  
  154. layer {
  155.     bottom: "res2a_branch2a"
  156.     top: "res2a_branch2a"
  157.     name: "bn2a_branch2a"
  158.     type: "BatchNorm"
  159.     
  160. }
  161.  
  162. layer {
  163.     bottom: "res2a_branch2a"
  164.     top: "res2a_branch2a"
  165.     name: "scale2a_branch2a"
  166.     type: "Scale"
  167.     scale_param {
  168.         bias_term: true
  169.     }
  170. }
  171.  
  172. layer {
  173.     bottom: "res2a_branch2a"
  174.     top: "res2a_branch2a"
  175.     name: "res2a_branch2a_relu"
  176.     type: "ReLU"
  177. }
  178.  
  179. layer {
  180.     bottom: "res2a_branch2a"
  181.     top: "res2a_branch2b"
  182.     name: "res2a_branch2b"
  183.     type: "Convolution"
  184.     convolution_param {
  185.         num_output: 64
  186.         kernel_size: 3
  187.         pad: 1
  188.         stride: 1
  189.         weight_filler {
  190.             type: "msra"
  191.         }
  192.         bias_term: fa
声明：本文内容由网友自发贡献，不代表【wpsshop博客】立场，版权归原作者所有，本站不承担相应法律责任。如您发现有侵权的内容，请联系我们。转载请注明出处：https://www.wpsshop.cn/w/羊村懒王/article/detail/290940
推荐阅读
相关标签

Copyright © 2003-2013 www.wpsshop.cn 版权所有，并保留所有权利。

  

闽ICP备14008679号