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Commit df7e812

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Anup Kumar
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fix review comments
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tools/bioimaging/bioimage_inference.xml

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@@ -2,7 +2,7 @@
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<description>with PyTorch</description>
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<macros>
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<token name="@TOOL_VERSION@">2.4.1</token>
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<token name="@VERSION_SUFFIX@">2</token>
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<token name="@VERSION_SUFFIX@">3</token>
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</macros>
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<creator>
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<organization name="European Galaxy Team" url="https://galaxyproject.org/eu/" />
@@ -38,9 +38,8 @@
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<param name="input_image_file" type="data" format="tiff,png" label="Input image" help="Please provide an input image for the analysis."/>
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<param name="input_image_input_size" type="text" optional="false" label="Size of the input image" help="Provide the size of the input image. See the chosen model's RDF file to find the correct input size. For example: for the BioImage.IO model MitochondriaEMSegmentationBoundaryModel, the input size is 256 x 256 x 32 x 1. Enter the size as 256,256,32,1."/>
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<param name="input_image_input_axes" type="select" label="Axes of the input image" optional="false" help="Provide the input axes of the input image. See the chosen model's RDF file to find the correct axes. For example: for the BioImage.IO model MitochondriaEMSegmentationBoundaryModel, the input axes is 'bczyx'">
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<option value="bczyx">bczyx</option>
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<option value="bcyx">bcyx</option>
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<option value="byxc">byxc</option>
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<option value="bcyx">Four axes (e.g., bcyx, byxc)</option>
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<option value="bczyx">Five axes (e.g., bczyx)</option>
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</param>
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</inputs>
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<outputs>
@@ -53,7 +52,7 @@
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<param name="input_image_file" value="input_image_file.tif" location="https://zenodo.org/api/records/6647674/files/sample_input_0.tif/content"/>
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<param name="input_image_input_size" value="256,256,1,1"/>
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<param name="input_image_input_axes" value="bcyx"/>
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<output name="output_predicted_image" ftype="tiff">
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<output name="output_predicted_image" ftype="tiff" file="output_nucleisegboundarymodel.tiff" compare="image_diff">
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<assert_contents>
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<has_size size="524846" delta="110" />
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</assert_contents>
@@ -69,7 +68,7 @@
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<param name="input_image_file" value="input_nucleisegboundarymodel.png"/>
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<param name="input_image_input_size" value="256,256,1,1"/>
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<param name="input_image_input_axes" value="bcyx"/>
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<output name="output_predicted_image" ftype="tiff">
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<output name="output_predicted_image" ftype="tiff" file="output_nucleisegboundarymodel.tiff" compare="image_diff">
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<assert_contents>
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<has_size size="524846" delta="110" />
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</assert_contents>
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