| import jams | |
| import tqdm | |
| import glob | |
| import numpy as np | |
| import mir_eval | |
| def quantise(beats): | |
| return [int(round(b * 25)) / 25 for b in beats] | |
| # simplify annotation to sevenths_inv | |
| new_key = [] | |
| for tmp in tqdm.tqdm(glob.glob("/work/fast_data_yinghao/jjy_chord/references_v2/*.jams")): | |
| file = jams.load(tmp) | |
| for idx, data in enumerate(file["annotations"][0]["data"]): | |
| # key.add(data.value.split(":")[-1]) | |
| if ":" in data.value: | |
| new_key.append(data.value.split(":")[-1]) | |
| # else: | |
| # new_key.append(data.value) | |
| new_key = list(set(new_key)) | |
| map = {} | |
| # partition = [[new_key[0]]] | |
| target = ['maj','maj/3','maj/5', | |
| 'min' ,'min/b3','min/5', | |
| '7' ,'7/3' ,'7/5' ,'7/b7', | |
| 'maj7', 'maj7/3','maj7/7', | |
| 'min7', 'min7/b3','min7/5' ,'min7/b7' ] | |
| for idx, i in tqdm.tqdm(enumerate(new_key)): | |
| for j in target: | |
| if mir_eval.chord.sevenths_inv(["C:" + i],["C:" + j])==1: | |
| map[i] = j | |
| break | |
| else: | |
| map[i] = i | |
| # # for j in new_key[idx+1:]: | |
| # for j in partition: | |
| # if mir_eval.chord.sevenths_inv([i],[j[0]])==1: | |
| # j.append(i) | |
| # break | |
| # else: | |
| # partition.append([i]) | |
| # key = set() | |
| # ['C#:min11', 'C#:5', 'C#:5(b13)', 'C#:(1,b3)/b3', 'C#:min7', 'C#:min(*b3,9)', 'C#:5(b7)', 'C#:maj6', 'C#:maj7(*b5)', 'C#:dim', 'C#:min(*b3,*5)', 'C#:min11/b3', 'C#:min7(4)/4', 'C#:min7/4', | |
| # 'C#:7(b9)/3', 'C#:sus4(b7)', 'C#:maj6(4)', 'C#:sus4', 'C#:min7(9)', 'C#/3', 'C#:maj', 'C#:7(b9)', 'C#:7/4', 'C#', 'C#:maj/3', 'C#:min9/b7', 'C#:min(9)', 'C#:maj(*3)', 'C#:1/1', 'C#:13', 'C#:7(#9)', | |
| # 'C#:dim/b3', 'C#:sus2(4)', 'C#:maj/b4', 'C#:min(*b3)', 'C#:7/3', 'C#:maj7/3', 'C#:min/b7', 'C#:min7/b7', 'C#:7', 'C#:min(b13)', 'C#:7(b9,#9)', 'C#:(1,b3,b5,6)', 'C#:min9', 'C#:min7/5', 'C#:sus4(b7,9)', | |
| # 'C#:min7/b3', 'C#:maj/5', 'C#:min/4', 'C#:dim7', 'C#:min/5', 'C#:hdim7/4', 'C#:min/3', 'C#:maj6/3', 'C#:min(11)', 'C#:hdim7', 'C#:dim7/b3', 'C#:9', 'C#:sus2(b7)', 'C#:aug', 'C#:(b3,b7,11,9)', | |
| # 'C#:(1,b3,b5,6)/b3', 'C#:maj6(4)/3', 'C#:7(b2)', 'C#:sus2', 'C#:min', 'C#:(1,b3)'] | |
| # count = 0 | |
| for tmp in tqdm.tqdm(glob.glob("/work/fast_data_yinghao/jjy_chord/references_v2/*.jams")): | |
| file = jams.load(tmp) | |
| ref_intervals = np.zeros((len(file["annotations"][0]["data"]),2)) | |
| ref_labels = [] | |
| # all annotations start at 0s | |
| # count += (file["annotations"][0]["data"][0].time==0) | |
| annotation = "" | |
| for idx, data in enumerate(file["annotations"][0]["data"]): | |
| # key.add(data.value.split(":")[-1]) | |
| # key.add(data.value) | |
| ref_intervals[idx] = [data.time, data.time + data.duration] | |
| ref_labels.append(data.value) | |
| if ":" in data.value: | |
| chord = data.value.split(":")[0] + ":" + map[data.value.split(":")[-1]] | |
| annotation +=f"{chord} {quantise(data.time + data.duration)}s," | |
| # break | |
| # (est_intervals, est_labels) = (ref_intervals, ref_labels) | |
| # est_intervals, est_labels = mir_eval.util.adjust_intervals( | |
| # est_intervals, est_labels, ref_intervals.min(), | |
| # ref_intervals.max(), mir_eval.chord.NO_CHORD, | |
| # mir_eval.chord.NO_CHORD) | |
| # (intervals, ref_labels, est_labels) = mir_eval.util.merge_labeled_intervals( | |
| # ref_intervals, ref_labels, est_intervals, est_labels) | |
| # durations = mir_eval.util.intervals_to_durations(intervals) | |
| # comparisons = mir_eval.chord.sevenths_inv(ref_labels, est_labels) | |
| # score = mir_eval.chord.weighted_accuracy(comparisons, durations) | |