Mercurial > repos > imgteam > landmark_registration_ls

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"planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tools/landmark_registration_ls/ commit abd8b0b42f6a700d61c7b042dbf5e5a291b148a3"
author imgteam
date Tue, 29 Dec 2020 12:10:53 +0000
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children 69db8c7d4244
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<tool id="ip_landmark_registration_ls" name="Landmark Registration" version="0.0.1">
    <description>using least squares</description>
    <requirements>
        <requirement type="package" version="1.2.1">scipy</requirement>
        <requirement type="package" version="0.23.4">pandas</requirement>
        <requirement type="package" version="1.15.2">numpy</requirement>
    </requirements>
    <command><![CDATA[ 
         python '$__tool_directory__/landmark_registration_ls.py'
         '$fn_pts1'
         '$fn_pts2'
         '$fn_tmat'
]]></command>
    <inputs>
          <param name="fn_pts1" type="data" format="tabular" label="Path to tab-separated file with src points" />
          <param name="fn_pts2" type="data" format="tabular" label="Path to tab-separated file with dst points" />
    </inputs>
    <outputs>
       <data format="tabular" name="fn_tmat" />
    </outputs>
    <tests>
        <test>
            <param name="fn_pts1" value="points1.tsv"/>
            <param name="fn_pts2" value="points2.tsv"/>
            <output name="fn_tmat" value="tmat.tsv" ftype="tabular" compare="diff" lines_diff="6"/>
        </test>
    </tests>
    <help>
    **What it does**

    This tool estimates the (affine) transformation matrix using least squares given two sets of 2d coordinates of landmarks.
    </help>
</tool>