align-vandam/code/compare.py

import os
from ChildProject.projects import ChildProject
from ChildProject.annotations import AnnotationManager
from ChildProject.metrics import segments_to_grid, conf_matrix, segments_to_annotation
from pathlib import Path

def compare_vandam(set1: str, set2: str) :

    speakers = ['CHI', 'OCH', 'FEM', 'MAL']
    project = ChildProject('vandam-data')
    am = AnnotationManager(project)
    am.read()

    #get segments that intercept between two annotations
    intersection = AnnotationManager.intersection(am.annotations, [set1, set2])

    #retrieve contents
    segments = am.get_collapsed_segments(intersection)
    segments = segments[segments['speaker_type'].isin(speakers)]

    set1_segm = segments_to_grid(segments[segments['set'] == set1], 0, segments['segment_offset'].max(), 100, 'speaker_type', speakers)
    set2_segm = segments_to_grid(segments[segments['set'] == set2], 0, segments['segment_offset'].max(), 100, 'speaker_type', speakers)

    print(set1_segm.shape)
    print(set2_segm)

    ref = segments_to_annotation(segments[segments['set'] == set1], 'speaker_type')
    hyp = segments_to_annotation(segments[segments['set'] == set2], 'speaker_type')

    if __name__ == '__main__':
        from pyannote.metrics.detection import DetectionPrecisionRecallFMeasure
        metric = DetectionPrecisionRecallFMeasure()

        detail = metric.compute_components(ref, hyp)
        precision, recall, f = metric.compute_metrics(detail)
        
        dirName = "outputs/compare/" + set1.replace("/","") + "-" + set2.replace("/","")

        try:
            # Create target Directory
            Path(dirName).mkdir(parents= True)
            print("Directory " , dirName ,  " Created ") 
        except FileExistsError:
            print("Directory " , dirName ,  " already exists")

        file= open("{0}/{1}-{2}.txt".format(dirName, set1.replace("/",""), set2.replace("/","")),"w+")
       # metric_output = str(f'{precision:.2f}/{recall:.2f}/{f:.2f}')
        metric_output = "precision: {0}/recall : {1}/ f: {2}".format(precision, recall, f)
        file.write(metric_output)
        file.close
        print("Metrics [precision & recall & f] saved!")

compare_vandam('cha','eaf')
compare_vandam('cha', 'cha/aligned')