annotate auto_threshold.xml @ 1:4853fc2b50bf draft

planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tools/2d_auto_threshold/ commit 8a2a5763d1ac38b3c7974bd7c2da4d5c1101a0a9

<tool id="ip_threshold" name="Auto Threshold" version="0.0.4">
   <description>applies a standard threshold algorithm to an image</description>
   <requirements> 
        <requirement type="package" version="0.14.2">scikit-image</requirement>
        <requirement type="package" version="1.15.4">numpy</requirement>
        <requirement type="package" version="5.3.0">pillow</requirement>
        <requirement type="package" version="0.15.1">tifffile</requirement>
   </requirements>
   <command detect_errors="aggressive">
   <![CDATA[
   python '$__tool_directory__/auto_threshold.py' '$input' '$output' $thresh_type $dark_background
   ]]>
   </command>
   <inputs>
        <param name="input" type="data" format="tiff" label="Source file" />
        <param name="thresh_type" type="select" label="Threshold Algorithm">
          <option value="otsu" selected="True">Otsu</option>
          <option value="li">Li’s Minimum Cross Entropy</option>
          <option value="isodata">Isodata</option>
          <option value="gaussian_adaptive">Adaptive (Gauss)</option>
          <option value="mean_adaptive">Adaptive (Mean)</option>
          <option value="yen">Yen</option>
        </param>
        <param name="dark_background" type="boolean" checked="true" truevalue="True" falsevalue="False" label="Dark Background" />
    </inputs>
    <outputs>
       <data format="tiff" name="output" />
    </outputs>
    <tests>
        <test>
            <param name="input" value="sample.tif"/>
            <output name="output" value="out.tif" ftype="tiff" compare="sim_size"/>
            <param name="thresh_type" value="gaussian_adaptive"/>
            <param name="dark_backgroud" value="True"/>
        </test>
        <test>
            <param name="input" value="sample.tif"/>
            <output name="output" value="out2.tif" ftype="tiff" compare="sim_size"/>
            <param name="thresh_type" value="otsu"/>
            <param name="dark_backgroud" value="True"/>
        </test>
    </tests>
    <help>
        Applies a standard threshold algorithm to an image.
    </help>
    <citations>
        <citation type="doi">10.1016/j.jbiotec.2017.07.019</citation>
    </citations>
</tool>