comparison overlay_images.xml @ 2:b74693340624 draft

planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/overlay_images/ commit 71dae1df58f579b84d4f9d92fb0dd509c02dd48f

1:bf590a9733ed

<tool id="ip_overlay_images" name="Overlay Images" version="0.0.2" profile="20.05"> 
    <description>for visualization</description>
    <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>

        --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.colour'
            $method_option.show_label
        #end if
    ]]>
    </command>
    <inputs>
        <conditional name="method_option">

                <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="float" value="0.3" label="Contour thickness" />
                <param name="colour" type="color" value="#ff0000" label="Contour color"/>
                <param argument="--show_label" type="boolean" checked='false' truevalue="--show_label" falsevalue="" label="Show labels" />
            </when>
        </conditional>
    </inputs>
    <outputs>
        <data format="tiff" name="out" from_work_dir="output.tif" />

        </test>
        <test>
            <param name="im1" value="sample1.tif"/>
            <param name="im2" value="mask1.tif"/>
            <param name="method" value="seg_contour"/>
            <param name="thickness" value="0.4"/>
            <param name="colour" value="#ffaa00"/>
            <param name="show_label" value="--show_label"/>
            <output name="out" value="test3.tif" ftype="tiff" compare="sim_size" delta="20000" delta_frac="0.2"/>
        </test>
    </tests>
    <help>
    **What it does**

    This tool overlays two image to visualize 1) image blending, 2) colocalization, or 3) a segmentation mask over an image.
    </help>
    <citations>
    </citations>
</tool>

2:b74693340624

<tool id="ip_overlay_images" name="Overlay Images" version="0.0.3" profile="20.05"> 
    <description>for visualization</description>
    <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>

        --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="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" from_work_dir="output.tif" />

        </test>
        <test>
            <param name="im1" value="sample1.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" value="test3.tif" ftype="tiff" compare="sim_size" delta_frac="0.1"/>
        </test>
        <test>
            <param name="im1" value="sample1.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" value="test4.tif" ftype="tiff" compare="sim_size" delta_frac="0.1"/>
        </test>
    </tests>
    <help>
    **What it does**

    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>