Mercurial > repos > imgteam > segmetrics
annotate segmetrics.xml @ 8:4512751bccca draft default tip
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit c045f067a57e8308308cf6329060c7ccd3fc372f
author | imgteam |
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date | Thu, 04 Apr 2024 15:26:32 +0000 |
parents | b6e88e7bf2fa |
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6
462f49860277
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 1db841fd5b650baafe7484d17b55b6035bf1ae10
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1 <tool id="ip_segmetrics" name="Compute image segmentation and object detection performance measures" version="@TOOL_VERSION@+galaxy@VERSION_SUFFIX@" profile="20.05"> |
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ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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2 <description>with SegMetrics</description> |
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462f49860277
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 1db841fd5b650baafe7484d17b55b6035bf1ae10
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3 <macros> |
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4512751bccca
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit c045f067a57e8308308cf6329060c7ccd3fc372f
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4 <import>creators.xml</import> |
6
462f49860277
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 1db841fd5b650baafe7484d17b55b6035bf1ae10
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5 <token name="@TOOL_VERSION@">1.4</token> |
8
4512751bccca
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit c045f067a57e8308308cf6329060c7ccd3fc372f
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6 <token name="@VERSION_SUFFIX@">5</token> |
6
462f49860277
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 1db841fd5b650baafe7484d17b55b6035bf1ae10
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7 </macros> |
8
4512751bccca
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit c045f067a57e8308308cf6329060c7ccd3fc372f
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8 <creator> |
4512751bccca
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit c045f067a57e8308308cf6329060c7ccd3fc372f
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9 <expand macro="creators/bmcv"/> |
4512751bccca
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit c045f067a57e8308308cf6329060c7ccd3fc372f
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10 </creator> |
5
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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11 <edam_operations> |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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12 <edam_operation>operation_3443</edam_operation> |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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13 </edam_operations> |
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b6e88e7bf2fa
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit fea6c8161c4b3e6394fe035b12b69b73e6fa7d75
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14 <xrefs> |
b6e88e7bf2fa
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit fea6c8161c4b3e6394fe035b12b69b73e6fa7d75
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15 <xref type="bio.tools">segmetrics</xref> |
b6e88e7bf2fa
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit fea6c8161c4b3e6394fe035b12b69b73e6fa7d75
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16 <xref type="biii">segmetrics</xref> |
b6e88e7bf2fa
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit fea6c8161c4b3e6394fe035b12b69b73e6fa7d75
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17 </xrefs> |
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ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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18 <requirements> |
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462f49860277
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 1db841fd5b650baafe7484d17b55b6035bf1ae10
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19 <requirement type="package" version="@TOOL_VERSION@">segmetrics</requirement> |
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7989264b5780
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tools/segmetrics/ commit 075271cee9cb9c2625c04dbefd903cdea6e74724
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20 <requirement type="package" version="0.23.4">pandas</requirement> |
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ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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21 </requirements> |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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22 <command detect_errors="aggressive"> |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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23 <![CDATA[ |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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24 python '$__tool_directory__/run-segmetrics.py' |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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25 '$input_seg' |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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26 '$input_gt' |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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27 ./results.tsv |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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28 $unzip |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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29 $is_seg_unique |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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30 $is_gt_unique |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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31 #for $m in $measures |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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32 #set $kwargs = '' |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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33 #set $suffix = '' |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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34 #set $is_distance = False |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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35 #if str($m.measure_type.measure_type_selector) == 'ISBIScore': |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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36 #set $kwargs = 'min_ref_size=' + str($m.measure_type.min_ref_size) + ', ' |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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37 #elif str($m.measure_type.measure_type_selector) == 'Hausdorff': |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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38 #set $kwargs = 'mode="' + str($m.measure_type.mode) + '", quantile=' + str($m.measure_type.quantile) + ', ' |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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39 #set $is_distance = True |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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40 #elif str($m.measure_type.measure_type_selector) == 'NSD': |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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41 #set $is_distance = True |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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42 #end if |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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43 #if $is_distance: |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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44 #if $m.measure_type.object_based: |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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45 #set $suffix = '.object_based()' |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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46 #end if |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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47 #end if |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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48 #if str($m.measure_type.aggregation) != '': |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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49 #set $kwargs = 'aggregation="' + str($m.measure_type.aggregation) + '", ' + $kwargs |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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50 #end if |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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51 'sm.${m.measure_type.measure_type_selector}(${kwargs})${suffix}' |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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52 #end for |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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53 ]]> |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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54 </command> |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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55 <inputs> |
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planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tools/segmetrics/ commit 3b911df716a7b42115c6cd773f666bc90a2bb10f
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56 |
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planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit c045f067a57e8308308cf6329060c7ccd3fc372f
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57 <param name="input_seg" type="data" format="tiff,png,zip" label="Segmented image(s)" /> |
4512751bccca
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit c045f067a57e8308308cf6329060c7ccd3fc372f
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58 <param name="input_gt" type="data" format="tiff,png,zip" label="Ground truth image(s)" /> |
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planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tools/segmetrics/ commit 3b911df716a7b42115c6cd773f666bc90a2bb10f
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59 |
0729657d9e4e
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tools/segmetrics/ commit 3b911df716a7b42115c6cd773f666bc90a2bb10f
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60 <param name="unzip" type="boolean" checked="false" truevalue="-unzip" falsevalue="" label="Unzip" /> |
0729657d9e4e
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tools/segmetrics/ commit 3b911df716a7b42115c6cd773f666bc90a2bb10f
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61 |
0729657d9e4e
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tools/segmetrics/ commit 3b911df716a7b42115c6cd773f666bc90a2bb10f
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62 <param name="is_seg_unique" type="boolean" checked="false" truevalue="-seg_unique" falsevalue="" label="Segmentation is uniquely labeled" /> |
0729657d9e4e
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tools/segmetrics/ commit 3b911df716a7b42115c6cd773f666bc90a2bb10f
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63 <param name="is_gt_unique" type="boolean" checked="false" truevalue="-gt_unique" falsevalue="" label="Ground truth is uniquely labeled" /> |
0729657d9e4e
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tools/segmetrics/ commit 3b911df716a7b42115c6cd773f666bc90a2bb10f
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64 |
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planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tools/segmetrics/ commit 075271cee9cb9c2625c04dbefd903cdea6e74724
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65 <repeat name="measures" title="Performance measure(s)" min="1"> |
7989264b5780
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tools/segmetrics/ commit 075271cee9cb9c2625c04dbefd903cdea6e74724
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66 <conditional name="measure_type"> |
7989264b5780
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tools/segmetrics/ commit 075271cee9cb9c2625c04dbefd903cdea6e74724
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67 <param name="measure_type_selector" type="select" label="Type"> |
7989264b5780
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tools/segmetrics/ commit 075271cee9cb9c2625c04dbefd903cdea6e74724
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68 <option value="Dice">Region-based / Dice</option> |
7989264b5780
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tools/segmetrics/ commit 075271cee9cb9c2625c04dbefd903cdea6e74724
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69 <option value="ISBIScore">Region-based / SEG</option> |
7989264b5780
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tools/segmetrics/ commit 075271cee9cb9c2625c04dbefd903cdea6e74724
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70 <option value="JaccardCoefficient">Region-based / Jaccard Coefficient</option> |
7989264b5780
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tools/segmetrics/ commit 075271cee9cb9c2625c04dbefd903cdea6e74724
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71 <option value="JaccardIndex">Region-based / Jaccard Index</option> |
7989264b5780
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tools/segmetrics/ commit 075271cee9cb9c2625c04dbefd903cdea6e74724
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72 <option value="RandIndex">Region-based / Rand Index</option> |
7989264b5780
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tools/segmetrics/ commit 075271cee9cb9c2625c04dbefd903cdea6e74724
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73 <option value="AdjustedRandIndex">Region-based / Adjusted Rand Index</option> |
7989264b5780
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tools/segmetrics/ commit 075271cee9cb9c2625c04dbefd903cdea6e74724
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74 <option value="Hausdorff">Contour-based / Hausdorff Distance</option> |
7989264b5780
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tools/segmetrics/ commit 075271cee9cb9c2625c04dbefd903cdea6e74724
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75 <option value="NSD">Contour-based / Normalized Sum of Distances</option> |
7989264b5780
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tools/segmetrics/ commit 075271cee9cb9c2625c04dbefd903cdea6e74724
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76 <option value="FalseSplit">Detection-based / Count Falsely Split Objects</option> |
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77 <option value="FalseMerge">Detection-based / Count Falsely Merged Objects</option> |
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78 <option value="FalsePositive">Detection-based / Count Spurious Objects</option> |
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79 <option value="FalseNegative">Detection-based / Count Missing Objects</option> |
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80 </param> |
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81 <when value="Dice"> |
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82 <param name="aggregation" type="hidden" value="" /> |
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83 </when> |
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84 <when value="ISBIScore"> |
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85 <param name="aggregation" type="hidden" value="" /> |
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86 <param name="min_ref_size" type="integer" value="1" label="Minimum size of ground truth objects (in pixels)" help="Ground truth objects smaller than this value (in pixels) are skipped. It is reasonable to set this value to 2 so that objects of a single pixel in size are skipped, since such objects obviously correspond to misannotations which distort the performance evaluation. However, for compatibility to the official implementation, the value is set to 1 by default so all ground truth objects are included."/> |
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87 </when> |
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88 <when value="JaccardCoefficient"> |
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89 <param name="aggregation" type="hidden" value="" /> |
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90 </when> |
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91 <when value="JaccardIndex"> |
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92 <param name="aggregation" type="hidden" value="" /> |
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93 </when> |
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94 <when value="RandIndex"> |
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95 <param name="aggregation" type="hidden" value="" /> |
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96 </when> |
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97 <when value="AdjustedRandIndex"> |
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98 <param name="aggregation" type="hidden" value="" /> |
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99 </when> |
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100 <when value="Hausdorff"> |
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101 <param name="aggregation" type="hidden" value="" /> |
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102 <param name="mode" type="select" label="Direction"> |
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103 <option value="a2e">Actual (segmentation result) to expected (ground truth)</option> |
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104 <option value="e2a">Expected (ground truth) to actual (segmentation result)</option> |
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105 <option value="sym" selected="true">Symmetric (maximum of the two)</option> |
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106 </param> |
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107 <param name="quantile" type="float" min="0" max="1" value="1" label="Quantile" help="Must be between 0 and 1. If set to 1, then the implementaiton corresponds to the Hausdorff distance described by Bamford (2003). Any other value corresponds to the quantile method described by Rucklidge (1997)." /> |
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108 <param name="object_based" type="boolean" label="Object-based" help="Object correspondances between the segmented and the ground truth objects are established on a many-to-many basis, so that the resulting distances are minimal." /> |
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109 </when> |
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110 <when value="NSD"> |
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111 <param name="aggregation" type="hidden" value="" /> |
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112 <param name="object_based" type="boolean" label="Object-based" help="Object correspondances between the segmented and the ground truth objects are established on a many-to-many basis, so that the resulting distances are minimal." /> |
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113 </when> |
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114 <when value="FalseSplit"> |
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115 <param name="aggregation" type="select" label="Aggregation"> |
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116 <option value="mean" selected="true">Mean per Image</option> |
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117 <option value="sum">Sum over all images</option> |
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118 <option value="obj-mean">Proportion w.r.t. ground truth objects</option> |
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119 </param> |
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120 </when> |
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121 <when value="FalseMerge"> |
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122 <param name="aggregation" type="select" label="Aggregation"> |
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123 <option value="mean" selected="true">Mean per Image</option> |
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124 <option value="sum">Sum over all images</option> |
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125 <option value="obj-mean">Proportion w.r.t. ground truth objects</option> |
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126 </param> |
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127 </when> |
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128 <when value="FalsePositive"> |
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129 <param name="aggregation" type="select" label="Aggregation"> |
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130 <option value="mean" selected="true">Mean per Image</option> |
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131 <option value="sum">Sum over all images</option> |
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132 <option value="obj-mean">Proportion w.r.t. ground truth objects</option> |
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133 </param> |
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134 </when> |
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135 <when value="FalseNegative"> |
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136 <param name="aggregation" type="select" label="Aggregation"> |
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137 <option value="mean" selected="true">Mean per Image</option> |
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138 <option value="sum">Sum over all images</option> |
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139 <option value="obj-mean">Proportion w.r.t. ground truth objects</option> |
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140 </param> |
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141 </when> |
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142 </conditional> |
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143 </repeat> |
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144 </inputs> |
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145 <outputs> |
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146 <data format="tsv" name="results" from_work_dir="results.tsv" /> |
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147 </outputs> |
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148 <tests> |
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149 <test> |
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150 <param name="input_seg" value="input1.png"/> |
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151 <param name="input_gt" value="input2.png"/> |
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152 <output name="results" value="results1.tsv" ftype="tsv" compare="diff"/> |
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153 <param name="is_seg_unique" value="true"/> |
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154 <param name="is_gt_unique" value="true"/> |
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155 <repeat name="measures"> |
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156 <conditional name="measure_type"> |
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157 <param name="measure_type_selector" value="Dice" /> |
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158 </conditional> |
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159 </repeat> |
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160 <repeat name="measures"> |
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161 <conditional name="measure_type"> |
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162 <param name="measure_type_selector" value="ISBIScore" /> |
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163 </conditional> |
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164 </repeat> |
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165 <repeat name="measures"> |
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166 <conditional name="measure_type"> |
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167 <param name="measure_type_selector" value="JaccardCoefficient" /> |
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168 </conditional> |
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169 </repeat> |
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170 <repeat name="measures"> |
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171 <conditional name="measure_type"> |
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172 <param name="measure_type_selector" value="JaccardIndex" /> |
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173 </conditional> |
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174 </repeat> |
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175 <repeat name="measures"> |
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176 <conditional name="measure_type"> |
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177 <param name="measure_type_selector" value="RandIndex" /> |
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178 </conditional> |
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179 </repeat> |
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180 <repeat name="measures"> |
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181 <conditional name="measure_type"> |
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182 <param name="measure_type_selector" value="AdjustedRandIndex" /> |
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183 </conditional> |
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184 </repeat> |
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185 <repeat name="measures"> |
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186 <conditional name="measure_type"> |
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187 <param name="measure_type_selector" value="Hausdorff" /> |
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188 </conditional> |
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189 </repeat> |
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190 <repeat name="measures"> |
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191 <conditional name="measure_type"> |
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192 <param name="measure_type_selector" value="Hausdorff" /> |
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193 <param name="quantile" value="0.9" /> |
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194 </conditional> |
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195 </repeat> |
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196 <repeat name="measures"> |
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197 <conditional name="measure_type"> |
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198 <param name="measure_type_selector" value="Hausdorff" /> |
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199 <param name="object_based" value="true" /> |
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200 </conditional> |
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201 </repeat> |
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202 <repeat name="measures"> |
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203 <conditional name="measure_type"> |
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204 <param name="measure_type_selector" value="NSD" /> |
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205 </conditional> |
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206 </repeat> |
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207 <repeat name="measures"> |
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208 <conditional name="measure_type"> |
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209 <param name="measure_type_selector" value="NSD" /> |
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210 <param name="object_based" value="true" /> |
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211 </conditional> |
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212 </repeat> |
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213 <repeat name="measures"> |
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214 <conditional name="measure_type"> |
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215 <param name="measure_type_selector" value="FalseSplit" /> |
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216 </conditional> |
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217 </repeat> |
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218 <repeat name="measures"> |
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219 <conditional name="measure_type"> |
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220 <param name="measure_type_selector" value="FalseMerge" /> |
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221 </conditional> |
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222 </repeat> |
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223 <repeat name="measures"> |
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224 <conditional name="measure_type"> |
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225 <param name="measure_type_selector" value="FalsePositive" /> |
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226 </conditional> |
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227 </repeat> |
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228 <repeat name="measures"> |
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229 <conditional name="measure_type"> |
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230 <param name="measure_type_selector" value="FalseNegative" /> |
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231 </conditional> |
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232 </repeat> |
0
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233 </test> |
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234 <test> |
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235 <param name="input_seg" value="input1.zip"/> |
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236 <param name="input_gt" value="input2.zip"/> |
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237 <output name="results" value="results2.tsv" ftype="tsv" compare="diff"/> |
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238 <param name="is_seg_unique" value="true"/> |
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239 <param name="is_gt_unique" value="true"/> |
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240 <param name="unzip" value="true"/> |
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241 <repeat name="measures"> |
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242 <conditional name="measure_type"> |
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243 <param name="measure_type_selector" value="Dice" /> |
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244 </conditional> |
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245 </repeat> |
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246 <repeat name="measures"> |
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247 <conditional name="measure_type"> |
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248 <param name="measure_type_selector" value="ISBIScore" /> |
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249 </conditional> |
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250 </repeat> |
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251 <repeat name="measures"> |
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252 <conditional name="measure_type"> |
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253 <param name="measure_type_selector" value="JaccardCoefficient" /> |
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254 </conditional> |
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255 </repeat> |
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256 <repeat name="measures"> |
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257 <conditional name="measure_type"> |
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258 <param name="measure_type_selector" value="JaccardIndex" /> |
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259 </conditional> |
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260 </repeat> |
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261 <repeat name="measures"> |
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262 <conditional name="measure_type"> |
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263 <param name="measure_type_selector" value="RandIndex" /> |
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264 </conditional> |
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265 </repeat> |
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266 <repeat name="measures"> |
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267 <conditional name="measure_type"> |
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268 <param name="measure_type_selector" value="AdjustedRandIndex" /> |
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269 </conditional> |
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270 </repeat> |
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271 <repeat name="measures"> |
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272 <conditional name="measure_type"> |
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273 <param name="measure_type_selector" value="Hausdorff" /> |
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274 </conditional> |
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275 </repeat> |
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276 <repeat name="measures"> |
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277 <conditional name="measure_type"> |
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278 <param name="measure_type_selector" value="Hausdorff" /> |
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279 <param name="quantile" value="0.9" /> |
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280 </conditional> |
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281 </repeat> |
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282 <repeat name="measures"> |
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283 <conditional name="measure_type"> |
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284 <param name="measure_type_selector" value="Hausdorff" /> |
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285 <param name="object_based" value="true" /> |
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286 </conditional> |
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287 </repeat> |
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288 <repeat name="measures"> |
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289 <conditional name="measure_type"> |
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290 <param name="measure_type_selector" value="NSD" /> |
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291 </conditional> |
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292 </repeat> |
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293 <repeat name="measures"> |
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294 <conditional name="measure_type"> |
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295 <param name="measure_type_selector" value="NSD" /> |
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296 <param name="object_based" value="true" /> |
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297 </conditional> |
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298 </repeat> |
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299 <repeat name="measures"> |
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300 <conditional name="measure_type"> |
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301 <param name="measure_type_selector" value="FalseSplit" /> |
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302 </conditional> |
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303 </repeat> |
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304 <repeat name="measures"> |
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305 <conditional name="measure_type"> |
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306 <param name="measure_type_selector" value="FalseMerge" /> |
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307 </conditional> |
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308 </repeat> |
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309 <repeat name="measures"> |
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310 <conditional name="measure_type"> |
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311 <param name="measure_type_selector" value="FalsePositive" /> |
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312 </conditional> |
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313 </repeat> |
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314 <repeat name="measures"> |
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315 <conditional name="measure_type"> |
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316 <param name="measure_type_selector" value="FalseNegative" /> |
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317 </conditional> |
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318 </repeat> |
0
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319 </test> |
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320 </tests> |
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321 <help> |
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322 |
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323 **Computates image segmentation and object detection performance measures for 2-D image data.** |
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324 |
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325 You can either use a pair of individual input images (a segmented and a ground truth image), or a pair of ZIP archives which contain the segmented and the correspondiong ground truth images. When using a pair of individual images, remember to turn off the "Unzip" option. When using ZIP archives, turn it on instead and make sure that the directory structure is the same for the segmented and the ground truth images. Correspondences are estbalished based on the file names, which should be *identical* for a pair of corresponding images. |
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326 |
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327 If all objects within your segmented images are *uniquely* labeled, you can turn on the "Segmentation is uniquely labeled" switch to speed up the computations. Leave it off otherwise, or if you are unsure. The same accounts for the "Ground truth is uniquely labeled" switch and your ground turth image data. |
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328 |
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329 </help> |
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330 <citations> |
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331 <citation type="doi">10.1093/bioinformatics/btu080</citation> |
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332 <citation type="doi">10.1109/ISBI.2009.5193098</citation> |
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333 <citation type="doi">10.1109/ICIP.2003.1246871</citation> |
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334 <citation type="doi">10.1023/A:1007975324482</citation> |
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335 </citations> |
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336 </tool> |