Mercurial > repos > greg > yolo
changeset 24:f191e0b8fa1d draft
Uploaded
author | greg |
---|---|
date | Thu, 19 Oct 2017 10:07:46 -0400 |
parents | 53a9c312fe7a |
children | f8b16e55b18c |
files | yolo.xml |
diffstat | 1 files changed, 5 insertions(+), 8 deletions(-) [+] |
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--- a/yolo.xml Thu Oct 19 10:01:49 2017 -0400 +++ b/yolo.xml Thu Oct 19 10:07:46 2017 -0400 @@ -12,12 +12,9 @@ #if str($input_type_cond.input_type) == 'image': #set input_filename = $input.file_name #set full_name = $input.name - #set head = $full_name.split('.')[0] - #set output_filename_png = '%s_predictions.png' % $head - #set output_filename_shape_confidence = '%s_shape_detection_confidence.tabular' % $head && ln -s $input_filename input_dir/$full_name - && darknet detect cfg/yolo.cfg yolo.weights 'input_dir/$full_name' -thresh $thresh > output_shape_confidence_dir/$output_filename_shape_confidence - && mv ./predictions.png output_png_dir/$output_filename_png + && darknet detect cfg/yolo.cfg yolo.weights 'input_dir/$full_name' -thresh $thresh > $output_shape_confidence + && mv ./predictions.png $output_shape #else: #for $i in $input: #set input_filename = $i.file_name @@ -45,21 +42,21 @@ </when> </conditional> <param name="thresh" type="float" value="0.25" label="Object detection threshold"/> - <param name="output_shape_confidence" type="select" display="radio" label="Output shape detection confidence levels?"> + <param name="output_shape_confidence_log" type="select" display="radio" label="Output shape detection confidence levels?"> <option value="yes" selected="true">Yes</option> <option value="no">No</option> </param> </inputs> <outputs> <data name="output_shape_confidence" format="tabular" label="${tool.name} (shape detection confidence) on ${on_string}"> - <filter>input_type_cond['input_type'] == 'image' and output_shape_confidence == 'yes'</filter> + <filter>input_type_cond['input_type'] == 'image' and output_shape_confidence_log == 'yes'</filter> </data> <data name="output_shape" format="png" label="${tool.name} (shapes) on ${on_string}"> <filter>input_type_cond['input_type'] == 'image'</filter> </data> <collection name="output_shape_confidences" type="list" label="${tool.name} (shape detection confidence) on ${on_string}"> <discover_datasets pattern="__name__" directory="output_shape_confidence_dir" format="tabular" /> - <filter>input_type_cond['input_type'] == 'images' and output_shape_confidence == 'yes'</filter> + <filter>input_type_cond['input_type'] == 'images' and output_shape_confidence_log == 'yes'</filter> </collection> <collection name="output_shapes" type="list" label="${tool.name} (shapes) on ${on_string}"> <discover_datasets pattern="__name__" directory="output_png_dir" format="png" />