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<root>
<key>HooverCompareSegmentation</key>
<exec>otbcli_HooverCompareSegmentation</exec>
<longname>Hoover compare segmentation</longname>
<group>Segmentation</group>
<description>Compare two segmentations with Hoover metrics</description>
<parameter>
<parameter_type source_parameter_type="ParameterType_InputImage">ParameterRaster</parameter_type>
<key>ingt</key>
<name>Input ground truth</name>
<description>A partial ground truth segmentation image.</description>
<optional>False</optional>
</parameter>
<parameter>
<parameter_type source_parameter_type="ParameterType_InputImage">ParameterRaster</parameter_type>
<key>inms</key>
<name>Input machine segmentation</name>
<description>A machine segmentation image.</description>
<optional>False</optional>
</parameter>
<parameter>
<parameter_type source_parameter_type="ParameterType_Int">ParameterNumber</parameter_type>
<key>bg</key>
<name>Background label</name>
<description>Label value of the background in the input segmentations</description>
<minValue />
<maxValue />
<default>0</default>
<optional>False</optional>
</parameter>
<parameter>
<parameter_type source_parameter_type="ParameterType_Float">ParameterNumber</parameter_type>
<key>th</key>
<name>Overlapping threshold</name>
<description>Overlapping threshold used to find Hoover instances.</description>
<minValue />
<maxValue />
<default>0.75</default>
<optional>False</optional>
</parameter>
<parameter>
<parameter_type source_parameter_type="ParameterType_OutputImage">OutputRaster</parameter_type>
<key>outgt</key>
<name>Colored ground truth output</name>
<description>The colored ground truth output image.</description>
<hidden />
</parameter>
<parameter>
<parameter_type source_parameter_type="ParameterType_OutputImage">OutputRaster</parameter_type>
<key>outms</key>
<name>Colored machine segmentation output</name>
<description>The colored machine segmentation output image.</description>
<hidden />
</parameter>
<parameter>
<parameter_type source_parameter_type="ParameterType_Float">ParameterNumber</parameter_type>
<key>rc</key>
<name>Correct detection score</name>
<description>Overall score for correct detection (RC)</description>
<minValue />
<maxValue />
<default>0.0</default>
<optional>False</optional>
</parameter>
<parameter>
<parameter_type source_parameter_type="ParameterType_Float">ParameterNumber</parameter_type>
<key>rf</key>
<name>Over-segmentation score</name>
<description>Overall score for over segmentation (RF)</description>
<minValue />
<maxValue />
<default>0.0</default>
<optional>False</optional>
</parameter>
<parameter>
<parameter_type source_parameter_type="ParameterType_Float">ParameterNumber</parameter_type>
<key>ra</key>
<name>Under-segmentation score</name>
<description>Overall score for under segmentation (RA)</description>
<minValue />
<maxValue />
<default>0.0</default>
<optional>False</optional>
</parameter>
<parameter>
<parameter_type source_parameter_type="ParameterType_Float">ParameterNumber</parameter_type>
<key>rm</key>
<name>Missed detection score</name>
<description>Overall score for missed detection (RM)</description>
<minValue />
<maxValue />
<default>0.0</default>
<optional>False</optional>
</parameter>
</root>
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