Mercurial > repos > imgteam > points_association_nn
diff points_association_nn.xml @ 0:04e692ee53a8 draft
"planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/points_association_nn/ commit db4c2a87a21f32e5d12d11e68f32773bfc06fcfd"
author | imgteam |
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date | Thu, 22 Jul 2021 22:29:47 +0000 |
parents | |
children | fd4293bee0dc |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/points_association_nn.xml Thu Jul 22 22:29:47 2021 +0000 @@ -0,0 +1,42 @@ +<tool id="ip_points_association_nn" name="Association of points" version="0.0.1" profile="20.05"> + <description>in consecutive frames (slices) using the nearest neighbor algorithm</description> + <requirements> + <requirement type="package" version="1.20.2">numpy</requirement> + <requirement type="package" version="3.0.7">openpyxl</requirement> + <requirement type="package" version="1.2.4">pandas</requirement> + <requirement type="package" version="0.18.1">scikit-image</requirement> + </requirements> + <command> + <![CDATA[ + python '$__tool_directory__/points_association_nn.py' + '$fn_in' + ./output.xlsx + '$nbpx' + '$thres' + '$minlen' + ]]> + </command> + <inputs> + <param name="fn_in" type="data" format="tabular" label="Name of input file (tsv tabular)" /> + <param name="nbpx" type="integer" value="6" label="Neighborhood size in pixel" /> + <param name="thres" type="float" value="25" label="Percentage (%) of the global maximal intensity for thresholding some event" /> + <param name="minlen" type="float" value="50" label="Minimum length of tracks (% of sequence length)" /> + </inputs> + <outputs> + <data format="xlsx" name="fn_out" from_work_dir="output.xlsx" /> + </outputs> + <tests> + <test> + <param name="fn_in" value="spots_detected.tsv"/> + <param name="nbpx" value="6"/> + <param name="thres" value="25"/> + <param name="minlen" value="50"/> + <output name="fn_out" value="spots_linked.xlsx" ftype="xlsx" compare="sim_size"/> + </test> + </tests> + <help> + **What it does** + + This tool associates points in consecutive frames (slices) using the nearest neighbor algorithm. + </help> +</tool>