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
line wrap: on
line diff
--- 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" />