Mercurial > repos > imgteam > landmark_registration_ls
view 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 |
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date | Tue, 29 Dec 2020 12:10:53 +0000 |
parents | |
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>