annotate landmark_registration_ls.xml @ 0:2f36165c49fb draft

"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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2f36165c49fb "planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tools/landmark_registration_ls/ commit abd8b0b42f6a700d61c7b042dbf5e5a291b148a3"
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1 <tool id="ip_landmark_registration_ls" name="Landmark Registration" version="0.0.1">
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2 <description>using least squares</description>
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3 <requirements>
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4 <requirement type="package" version="1.2.1">scipy</requirement>
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5 <requirement type="package" version="0.23.4">pandas</requirement>
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6 <requirement type="package" version="1.15.2">numpy</requirement>
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7 </requirements>
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8 <command><![CDATA[
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9 python '$__tool_directory__/landmark_registration_ls.py'
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10 '$fn_pts1'
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11 '$fn_pts2'
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12 '$fn_tmat'
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13 ]]></command>
2f36165c49fb "planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tools/landmark_registration_ls/ commit abd8b0b42f6a700d61c7b042dbf5e5a291b148a3"
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14 <inputs>
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15 <param name="fn_pts1" type="data" format="tabular" label="Path to tab-separated file with src points" />
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16 <param name="fn_pts2" type="data" format="tabular" label="Path to tab-separated file with dst points" />
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17 </inputs>
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18 <outputs>
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19 <data format="tabular" name="fn_tmat" />
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20 </outputs>
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21 <tests>
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22 <test>
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23 <param name="fn_pts1" value="points1.tsv"/>
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24 <param name="fn_pts2" value="points2.tsv"/>
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25 <output name="fn_tmat" value="tmat.tsv" ftype="tabular" compare="diff" lines_diff="6"/>
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26 </test>
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27 </tests>
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28 <help>
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29 **What it does**
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30
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31 This tool estimates the (affine) transformation matrix using least squares given two sets of 2d coordinates of landmarks.
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32 </help>
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33 </tool>