annotate overlay_images.xml @ 4:37662cbf44b8 draft

planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/overlay_images/ commit 85185439087caafebf1c75dc78b61a2a1f181225

<tool id="ip_overlay_images" name="Overlay images" version="@TOOL_VERSION@+galaxy@VERSION_SUFFIX@" profile="20.05">
    <description></description>
    <macros>
        <token name="@TOOL_VERSION@">0.0.4</token>
        <token name="@VERSION_SUFFIX@">0</token>
    </macros>
    <edam_operations>
        <edam_operation>operation_3443</edam_operation>
    </edam_operations>
    <xrefs>
        <xref type="bio.tools">galaxy_image_analysis</xref>
    </xrefs>
    <requirements>
        <requirement type="package" version="0.18.1">scikit-image</requirement> 
        <requirement type="package" version="3.3.4">matplotlib</requirement>
        <requirement type="package" version="2020.10.1">tifffile</requirement>
        <requirement type="package" version="1.20.2">numpy</requirement>
    </requirements>
    <command detect_errors="aggressive">
    <![CDATA[
        python '$__tool_directory__/overlay_images.py'
        '$method_option.im1' '$method_option.im2'
        #if $method_option.method == "seg_contour"
            ./output.png
        #else
            ./output.tif
        #end if
        --method $method_option.method
        #if $method_option.method == "blending"
            --alpha $method_option.alpha
        #elif $method_option.method == "seg_contour"
            --thickness $method_option.thickness
            --color '$method_option.color'
            $method_option.show_label
            --label_color '$method_option.label_color'
        #end if
    ]]>
    </command>
    <inputs>
        <conditional name="method_option">
            <param name="method" type="select" label="How to visualize the overlay?">
                <option value="coloc_vis" selected="True">Colocalization</option>
                <option value="blending">Blending</option>
                <option value="seg_contour">Segmentation mask over image</option>
            </param>
            <when value="coloc_vis">
                <param name="im1" type="data" format="tiff,png" label="Image #1 (red channel)" />
                <param name="im2" type="data" format="tiff,png" label="Image #2 (green channel)" />
            </when>
            <when value="blending">
                <param name="im1" type="data" format="tiff,png" label="Image #1" />
                <param name="im2" type="data" format="tiff,png" label="Image #2" />
                <param name="alpha" type="float" value="0.5" min="0.0" max="1.0" label="The weight for blending: I_out = (1 - w) * I_1 + w * I_2."/>
            </when>
            <when value="seg_contour">
                <param name="im1" type="data" format="tiff,png" label="Image" />
                <param name="im2" type="data" format="tiff,png" label="Label image" />
                <param name="thickness" type="integer" value="2" min="1" label="Contour thickness (in pixels)" />
                <param name="color" type="color" value="#ff0000" label="Contour color"/>
                <param argument="--show_label" type="boolean" checked='false' truevalue="--show_label" falsevalue="" label="Show labels" />
                <param name="label_color" type="color" value="#ffff00" label="Label color"/>
            </when>
        </conditional>
    </inputs>
    <outputs>
        <data format="tiff" name="out_tiff" from_work_dir="output.tif" label="${tool.name} on ${on_string} output:tiff">
            <filter>method_option['method'] != 'seg_contour'</filter>
        </data>
        <data format="png" name="out_png" from_work_dir="output.png" label="${tool.name} on ${on_string} output:png">
            <filter>method_option['method'] == 'seg_contour'</filter>
        </data>
    </outputs>
    <tests>
        <test expect_num_outputs="1">
            <param name="im1" value="mask1.tif"/>
            <param name="im2" value="mask1r.tif"/>
            <param name="method" value="coloc_vis"/>
            <output name="out_tiff" value="test1.tif" ftype="tiff" compare="sim_size" delta_frac="0.1"/>
        </test>
        <test expect_num_outputs="1">
            <param name="im1" value="mask1.tif"/>
            <param name="im2" value="mask1r.tif"/>
            <param name="method" value="blending"/>
            <param name="alpha" value="0.3"/>
            <output name="out_tiff" value="test2.tif" ftype="tiff" compare="sim_size" delta_frac="0.1"/>
        </test>
        <test expect_num_outputs="1">
            <param name="im1" value="sample1_uint8.tif"/>
            <param name="im2" value="mask1.tif"/>
            <param name="method" value="seg_contour"/>
            <param name="thickness" value="2"/>
            <param name="color" value="#ff0000"/>
            <param name="show_label" value="--show_label"/>
            <output name="out_png" value="test3.png" ftype="png" compare="sim_size" delta_frac="0.1"/>
        </test>
        <test expect_num_outputs="1"><!-- segemtation overlay, 8bit test -->
            <param name="im1" value="sample1_uint8.tif"/>
            <param name="im2" value="mask2.tif"/>
            <param name="method" value="seg_contour"/>
            <param name="thickness" value="2"/>
            <param name="color" value="#ff0000"/>
            <output name="out_png" value="test4.png" ftype="png" compare="sim_size" delta_frac="0.1"/>
        </test>
        <test expect_num_outputs="1"><!-- segmentation overlay, 16bit test -->
            <param name="im1" value="sample1_uint16.tif"/>
            <param name="im2" value="mask2.tif"/>
            <param name="method" value="seg_contour"/>
            <param name="thickness" value="2"/>
            <param name="color" value="#ff0000"/>
            <output name="out_png" value="test4.png" ftype="png" compare="sim_size" delta_frac="0.1"/>
        </test>
    </tests>
    <help>
    <![CDATA[
        This tool overlays two image to visualize 1) image blending, 2) colocalization, or 3) a segmentation mask over an image.
    ]]>
    </help>
    <citations>
        <citation type="doi">10.1016/j.jbiotec.2017.07.019</citation>
    </citations>
</tool>