view detection_viz.xml @ 2:f46f64f9590d draft

planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tools/detection_viz/ commit a47299b0f9de530b7501f72fae2dd43d4e7700ba
author imgteam
date Mon, 22 Jul 2019 11:22:03 -0400
parents ec1ca4d62192
children 99433164b593
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<tool id="ip_detection_viz" name="Detection Visualization" version="0.3"> 
    <description>Detection Visualization</description>
    <requirements>
        <requirement type="package" version="0.14.2">scikit-image</requirement>
        <requirement type="package" version="3.0.2">matplotlib</requirement>
        <requirement type="package" version="0.15.1">tifffile</requirement>
    </requirements>
    <command detect_errors="aggressive">
        <![CDATA[
        python '$__tool_directory__/detection_viz.py' '$input' '$output' 
        --stroke_size $thickness --circle_radius $circle_radius 
        #if $tp_option['display'] == 'true'
        --tp '$tp'
        #end if
        #if $fn_option['display'] == 'true'
        --fn '$fn'
        #end if
        #if $fp_option['display'] == 'true'
        --fp '$fp'
        #end if
        ]]> 
    </command>
    <inputs>
        <param name="input" type="data" format="tiff,png,jpg,bmp" label="Binary Image File"/>
        <conditional name="tp_option">
            <param label="Display true positives" name="display" type="select">
                <option selected="True" value="false">No</option>
                <option value="true">Yes</option>
            </param>
            <when value="false"></when>
            <when value="true">
                <param name="tp" type="data" format="tabular" label="True positives file" />
            </when>
        </conditional>
        <conditional name="fn_option">
            <param label="Display false negatives" name="display" type="select">
                <option selected="True" value="false">No</option>
                <option value="true">Yes</option>
            </param>
            <when value="false"></when>
            <when value="true">
                <param name="fn" type="data" format="tabular" label="False negatives file" />
            </when>
        </conditional>
        <conditional name="fp_option">
            <param label="Display false positives" name="display" type="select">
                <option selected="True" value="false">No</option>
                <option value="true">Yes</option>
            </param>
            <when value="false"></when>
            <when value="true">
                <param name="fp" type="data" format="tabular" label="False positives file" />
            </when>
        </conditional>
        <param name="thickness" type="float" value="3.0" label="Stroke thickness"/>
        <param name="circle_radius" type="float" value="50.0" label="Circle radius"/>
    </inputs>
    <outputs>
        <data format="png" name="output"/>
    </outputs>
    <tests>
        <test>
            <param name="input" value="sample.png"/>
            <param name="tp_option.display" value="false"/>
            <param name="fn_option.display" value="false"/>
            <param name="fp_option.display" value="false"/>
            <output name="output" value="out.png" ftype="png"/>
        </test>
    </tests>
    <help>
    **What it does**

    Draws circles of different colors around detected true positives, false negatives and false positives.
    </help>
    <citations>
        <citation type="doi">10.1016/j.jbiotec.2017.07.019</citation>
    </citations>
</tool>