Mercurial > repos > bgruening > bioimage_inference
diff bioimage_inference.xml @ 5:37b9ead209da draft default tip
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/bioimaging commit 399a62ba78a6a3d7885c7df03cc7de37e1a7ec6f
author | bgruening |
---|---|
date | Tue, 15 Apr 2025 15:39:20 +0000 |
parents | 2b61d8fcfa52 |
children |
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--- a/bioimage_inference.xml Mon Apr 07 14:46:13 2025 +0000 +++ b/bioimage_inference.xml Tue Apr 15 15:39:20 2025 +0000 @@ -2,7 +2,7 @@ <description>with PyTorch</description> <macros> <token name="@TOOL_VERSION@">2.4.1</token> - <token name="@VERSION_SUFFIX@">2</token> + <token name="@VERSION_SUFFIX@">3</token> </macros> <creator> <organization name="European Galaxy Team" url="https://galaxyproject.org/eu/" /> @@ -38,9 +38,8 @@ <param name="input_image_file" type="data" format="tiff,png" label="Input image" help="Please provide an input image for the analysis."/> <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."/> <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'"> - <option value="bczyx">bczyx</option> - <option value="bcyx">bcyx</option> - <option value="byxc">byxc</option> + <option value="bcyx">Four axes (e.g., bcyx, byxc)</option> + <option value="bczyx">Five axes (e.g., bczyx)</option> </param> </inputs> <outputs> @@ -53,11 +52,7 @@ <param name="input_image_file" value="input_image_file.tif" location="https://zenodo.org/api/records/6647674/files/sample_input_0.tif/content"/> <param name="input_image_input_size" value="256,256,1,1"/> <param name="input_image_input_axes" value="bcyx"/> - <output name="output_predicted_image" ftype="tiff"> - <assert_contents> - <has_size size="524846" delta="110" /> - </assert_contents> - </output> + <output name="output_predicted_image" ftype="tiff" file="output_nucleisegboundarymodel.tiff" compare="image_diff" /> <output name="output_predicted_image_matrix" ftype="npy"> <assert_contents> <has_size size="524416" delta="110" /> @@ -69,11 +64,7 @@ <param name="input_image_file" value="input_nucleisegboundarymodel.png"/> <param name="input_image_input_size" value="256,256,1,1"/> <param name="input_image_input_axes" value="bcyx"/> - <output name="output_predicted_image" ftype="tiff"> - <assert_contents> - <has_size size="524846" delta="110" /> - </assert_contents> - </output> + <output name="output_predicted_image" ftype="tiff" file="output_nucleisegboundarymodel.tiff" compare="image_diff" /> <output name="output_predicted_image_matrix" ftype="npy"> <assert_contents> <has_size size="524416" delta="110" />