deepsulci.pattern_classification.capsul.resnet_labeling.PatternDeepLabeling¶
PatternDeepLabeling¶
Process to recognize a searched fold pattern using a 3D-ResNet-18.
Note
Type ‘PatternDeepLabeling.help()’ for a full description of this process parameters.
Type ‘<PatternDeepLabeling>.get_input_spec()’ for a full description of this process input trait types.
Type ‘<PatternDeepLabeling>.get_output_spec()’ for a full description of this process output trait types.
Inputs¶
[Mandatory]
- graphs: a legal value ([‘List_File’] - mandatory)
graphs to classify
- model_file: a string or os.PathLike object ([‘File’] - mandatory)
file (.mdsm) storing neural network parameters
- param_file: a string or os.PathLike object ([‘File’] - mandatory)
file (.json) storing the hyperparameters (bounding_box, learning rate and momentum)
Outputs¶
- result_file: a string or os.PathLike object ([‘File (filename: input)’] - mandatory)
file (.csv) with predicted class (y_pred) for each of the input graphs