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Update DetailView wrapper output dimensions #7

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Update DetailView wrapper output dimensions #7

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15 changes: 14 additions & 1 deletion tools/3dtrees_detailview/detailview.xml
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Original file line number Diff line number Diff line change
Expand Up @@ -3,7 +3,7 @@
species prediction on segmented point cloud.
</description>
<macros>
<token name="@TOOL_VERSION@">1.1.0</token>
<token name="@TOOL_VERSION@">1.1.1</token>
<token name="@VERSION_SUFFIX@">0</token>
</macros>
<requirements>
Expand All @@ -18,6 +18,8 @@
--n-aug '$n_aug'
--projection-backend '$projection_backend'
--model-path '$model_path'
--output-species-id-dim '$output_species_id_dim'
--output-species-prob-dim '$output_species_prob_dim'
--output-type both
]]>
</command>
Expand All @@ -33,6 +35,12 @@
<option value="/app/model_europe_v1" selected="true">Europe</option>
<option value="/app/model_global_v1">Global</option>
</param>
<param argument="--output-species-id-dim" type="text" value="species_id" label="Output species ID dimension" help="Name of the LAS extra dimension used for predicted species IDs.">
<validator type="regex" message="Use letters, numbers, and underscores only; start with a letter">^[A-Za-z_][A-Za-z0-9_]*$</validator>
</param>
<param argument="--output-species-prob-dim" type="text" value="species_prob" label="Output species probability dimension" help="Name of the LAS extra dimension used for predicted species probabilities.">
<validator type="regex" message="Use letters, numbers, and underscores only; start with a letter">^[A-Za-z_][A-Za-z0-9_]*$</validator>
</param>
</inputs>
<outputs>
<data name="predictions_csv" format="csv" label="Species Predictions" from_work_dir="predictions.csv"/>
Expand All @@ -46,6 +54,8 @@
<param name="n_aug" value="1"/>
<param name="projection_backend" value="torch"/>
<param name="model_path" value="/app/model_europe_v1"/>
<param name="output_species_id_dim" value="species_id"/>
<param name="output_species_prob_dim" value="species_prob"/>
<assert_stderr>
<has_n_lines n="35"/>
<has_text text="RuntimeError: Attempting to deserialize object on a CUDA device but torch.cuda.is_available() is False. If you are running on a CPU-only machine, please use torch.load with map_location=torch.device('cpu') to map your storages to the CPU."/>
Expand Down Expand Up @@ -75,6 +85,9 @@ This tool performs tree species classification on segmented 3D point clouds usin
- **Model Region**: Select the trained model based on your data's geographic origin
- Europe: Model trained on European tree species data
- Global: Model trained on global tree species data
- **Output species ID dimension**: LAS extra dimension name for predicted species IDs (default: species_id)
- **Output species probability dimension**: LAS extra dimension name for predicted species probabilities (default: species_prob)
- Use different names for different segmentation branches when multiple DetailView outputs need to coexist

**Outputs**

Expand Down
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