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MLWIC：Python的R问题中的野生动物图像分类的机器学习

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我是一位野生动物博士研究人员,以人工方式识别约150万种游戏相机照片. R中的一个机器学习程序包最近来自一个研究项目,我一直在尝试让脚本在R中运行约12个小时,但似乎并不太正确(我经常使用R和python ,但我不是专家,这是我在这里提出的第一个问题,如果无法正确执行,请原谅我).

在Github上下载的程序包的自述文件(若要了解我要尝试做的事情,您可能必须阅读此书,对不起),位于：https://github.com/mikeyEcology/MLWIC/blob/master/README.md

对于我来说不幸的是,该程序包是在Macintosh平台上开发的,并且具有Windows.
我按照以下自述文件中的步骤进行操作：

1：使用以下代码安装了MLWIC软件包：

devtools::install_github("mikeyEcology/MLWIC")
library(MLWIC)

2：按照说明在以下位置安装“ pip”,python和“ TensorFlow”
https://www.tensorflow.org/install/pip

3：下载了L1文件夹

4：我运行的代码与自述文件中概述的代码不同,如下所示：
    setup(python_loc =“我使用了在Anaconda中运行“ where python”获得的位置”)

完成此初始设置后,我运行了“分类功能”的代码：
    图书馆(MLWIC)

setup(python_loc = "C:/ProgramData/Anaconda3", conda_loc = "auto", r_reticulate = FALSE)

setwd("C:/Users/werdel/Desktop/MachineLearning")

help("classify")

classify(path_prefix = "C:/Users/werdel/Desktop/MachineLearning/images",# this is the absolute path to the images. 

     data_info = "C:/Users/werdel/Desktop/MachineLearning/image_labels.csv", # this is the location of the csv containing image information. It has Unix linebreaks and no headers.

     model_dir = "C:/Users/werdel/Desktop/MachineLearning", # assuming this is where you stored the L1 folder in Step 3 of the instructions: github.com/mikeyEcology/MLWIC/blob/master/README

     python_loc = "C:/ProgramData/Anaconda3/python.exe", # the location of Python on your computer. 

     save_predictions = "model_predictions.txt" # this is the default and you should use it unless you have reason otherwise.)

这似乎是问题所在.似乎运行良好,输出显示在我的工作目录中创建的文件,但是当我检查时,没有文件.我尝试更改python位置,下载新版本和旧版本的anaconda,与环境打乱,但没有任何改变这一事实,即我的工作目录中没有创建文件：

> library(MLWIC)
> setup(python_loc = "C:/ProgramData/Anaconda3", conda_loc = "auto", r_reticulate = FALSE)

Remove all packages in environment C:\PROGRA~3\ANACON~1\envs\r-reticulate:


## Package Plan ##

  environment location: C:\PROGRA~3\ANACON~1\envs\r-reticulate


The following packages will be REMOVED:

ca-certificates: 2018.03.07-0          
certifi:         2018.10.15-py37_0     
openssl:         1.1.1a-he774522_0     
pip:             18.1-py37_0           
python:          3.7.1-he44a216_5      
setuptools:      40.6.2-py37_0         
vc:              14.1-h0510ff6_4       
vs2015_runtime:  14.15.26706-h3a45250_0
wheel:           0.32.3-py37_0         
wincertstore:    0.2-py37_0            

Solving environment: ...working... done

## Package Plan ##

  environment location: C:\PROGRA~3\ANACON~1\envs\r-reticulate

  added / updated specs: 
    - python


The following NEW packages will be INSTALLED:

ca-certificates: 2018.03.07-0          
certifi:         2018.10.15-py37_0     
openssl:         1.1.1a-he774522_0     
pip:             18.1-py37_0           
python:          3.7.1-he44a216_5      
setuptools:      40.6.2-py37_0         
vc:              14.1-h0510ff6_4       
vs2015_runtime:  14.15.26706-h3a45250_0
wheel:           0.32.3-py37_0         
wincertstore:    0.2-py37_0            

Preparing transaction: ...working... done
Verifying transaction: ...working... done
Executing transaction: ...working... done
#
# To activate this environment, use:
# > activate r-reticulate
#
# To deactivate an active environment, use:
# > deactivate
#
# * for power-users using bash, you must source
#

Solving environment: ...working... failed

UnsatisfiableError: The following specifications were found to be in conflict:
  - argparse
  - tensorflow
Use "conda info <package>" to see the dependencies for each package.

Error: Error 1 occurred installing packages into conda environment r-reticulate
> classify(path_prefix = "C:/Users/werdel/Desktop/MachineLearning/images", # this is 
the absolute path to the images. 
+          data_info = "C:/Users/werdel/Desktop/MachineLearning/image_labels.csv", # 
this is the location of the csv containing image information. It has Unix linebreaks 
and no headers.
+          model_dir = "C:/Users/werdel/Desktop/MachineLearning", # assuming this is 
where you stored the L1 folder in Step 3 of the instructions: 
github.com/mikeyEcology/MLWIC/blob/master/README
+          python_loc = "C:/ProgramData/Anaconda3/python.exe", # the location of Python 
on your computer. 
+          save_predictions = "model_predictions.txt" # this is the default and you 
should use it unless you have reason otherwise.
+ )
[1] "evaluation of images took 0.000504970550537109 secs. The results are stored in 
C:/Users/werdel/Desktop/MachineLearning/L1/model_predictions.txt. To view the results 
in a viewer-friendly format, please use the function make_output"

所以我的最后一个问题是,在下载pip,tensorflow,anaconda和python时似乎设置了错误,这与我的编码方式有关吗？

解决方法:

如果我没记错的话,他们的代码中有一个小错误,它会忽略“ data_info”路径.尝试将“ image_labels.csv”重命名为“ data_info.csv”,然后将文件放在model_dir中.这为我解决了问题.另外,使用“ C：/ ProgramData / Anaconda3 /”代替“ C：/ProgramData/Anaconda3/python.exe”

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