def load_specs(piece_paths, audio_file):
""" Compute spectrograms given piece paths """
spectrograms = []
for piece_path in piece_paths:
audio_path = get_performance_audio_path(piece_path, audio_file)
spec = processor.process(audio_path).T
spectrograms.append(spec)
return spectrograms
print(col.print_colored("\nRunning full evaluation:", col.UNDERLINE))
ranks = []
for i, tp in enumerate(te_pieces):
# compute spectrogram from file
if args.real_perf:
audio_file = get_performance_audio_path(piece_paths[i], "01_performance")
else:
audio_file = os.path.join(piece_paths[i], "score_ppq.flac")
if not os.path.exists(audio_file):
continue
# compute spectrogram
spec = processor.process(audio_file).T
# detect piece from spectrogram
ret_result, ret_votes = a2s_srv.detect_score(spec, top_k=len(te_pieces), n_candidates=args.n_candidates,
verbose=False)
if tp in ret_result:
rank = ret_result.index(tp) + 1
ratio = ret_votes[ret_result.index(tp)]
else:
rank = len(ret_result)
ratio = 0.0
ranks.append(rank)
if ranks[-1] == 1:
color = col.OKGREEN
elif ranks[-1] <= 5:
color = col.OKBLUE