ubuntu下neural-style-master的demo

最新推荐文章于 2024-01-12 12:30:00 发布

转载最新推荐文章于 2024-01-12 12:30:00 发布 · 129 阅读

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原文链接：http://www.cnblogs.com/XDJjy/p/4928420.html

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#lua #git #操作系统

本教程详细介绍了如何安装Torch，并提供了在Linux和OS X系统上配置环境的步骤。包括安装基本依赖、LuaJIT和Luarocks，以及如何通过Luarocks安装核心包。还解决了在测试时引入lena图像时遇到的问题，提供了正确的引入方法。同时介绍了如何在CPU和GPU环境下运行seq2seq模型，并提供了解决模型中未知Torch类问题的方法。

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1.Installing Torch

参考官网：http://torch.ch/docs/getting-started.html

git clone https://github.com/torch/distro.git ~/torch --recursive
cd ~/torch; bash install-deps;
./install.sh

#
The first script installs the basic package dependencies that LuaJIT and Torch require. 
The second script installs LuaJIT, LuaRocks, 
and then uses LuaRocks (the lua package manager) to install core packages like torch, nn and paths, as well as a few other packages
#

# On Linux with bash
source ~/.bashrc
# On Linux with zsh
source ~/.zshrc
# On OSX or in Linux with none of the above.
source ~/.profile

#
The script adds torch to your PATH variable. You just have to source it once to refresh your env variables. The installation script will detect what is your current shell and modify the path in the correct configuration file.
#

$ luarocks install image
$ luarocks list

#
New packages can be installed using Luarocks from the command-line:
#

　　>>>th 使用该命令启动torch

　　　　　使用os.exit()退出touch 或者CTRL + C

　　当测试的时候，想引入lena的图像就会出错。解决办法：sudo apt-get install ipython-notebook

　　输入如下三个命令：

　　　　>require "image"
　　　　>i = image.lena()
　　　　>image.display(i)

　　If you want to display images with th, you should use other display utilities such as gfx.go
Or, you can use qlua.

　　解决办法为使用qlua开启torch:

2.Torch中的seq2seq

　　https://github.com/macournoyer/neuralconvo

cpu + gpu 环境，运行：

   th -i eval.lua

出现unknown Torch class <torch.CudaTensor>

用： th -i eval.lua --cuda

- movie_lines.txt
   - contains the actual text of each utterance
   - fields:
       - lineID
       行号ID
       - characterID (who uttered this phrase)
       角色ID
       - movieID
       电影
       - character name
       角色名
       - text of the utterance
       对话的文本
- movie_conversations.txt
   - the structure of the conversations
   - fields
       - characterID of the first character involved in the conversation
       对话中第一个角色ID
       - characterID of the second character involved in the conversation
       对话中第二个角色ID
       - movieID of the movie in which the conversation occurred
       对话对应的电影ID
       - list of the utterances that make the conversation, in chronological
       按时间顺序对话文本
           order: ['lineID1','lineID2',É,'lineIDN']
           has to be matched with movie_lines.txt to reconstruct the actual content