deepsulci.pattern_classification.capsul.snipe_labeling.PatternSnipeLabeling

PatternSnipeLabeling

Process to recognize a searched fold pattern using the Scoring by Non-local Image PAtch Estimator (SNIPE) based model (Coupé et al., 2012).

Note

• Type ‘PatternSnipeLabeling.help()’ for a full description of this process parameters.

• Type ‘<PatternSnipeLabeling>.get_input_spec()’ for a full description of this process input trait types.

• Type ‘<PatternSnipeLabeling>.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

traindata_file: a string or os.PathLike object ([‘File’] - mandatory)

file (.json) storing the data extracted from the training base graphs

param_file: a string or os.PathLike object ([‘File’] - mandatory)

file (.json) storing the hyperparameters (OPM number, patch sizes)

[Optional]

num_cpu: an integer ([‘Int’] - optional)

number of processes that can be used to parallel the calculations

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