import time import os import sys sys.path.append('../../') import pretty_midi as pm import numpy as np from src.music.utils import get_out_path from src.music.config import MIN_LEN, MIN_NB_NOTES, MAX_GAP_IN_SONG, REMOVE_FIRST_AND_LAST def sort_notes(notes): starts = np.array([n.start for n in notes]) index_sorted = np.argsort(starts) return [notes[i] for i in index_sorted].copy() def delete_notes_end_after_start(notes): indexes_to_keep = [i for i, n in enumerate(notes) if n.start < n.end] return [notes[i] for i in indexes_to_keep].copy() def compute_largest_gap(notes): gaps = [] latest_note_end_so_far = notes[0].end for i in range(len(notes) - 1): note_start = notes[i + 1].start if latest_note_end_so_far < note_start: gaps.append(note_start - latest_note_end_so_far) latest_note_end_so_far = max(latest_note_end_so_far, notes[i+1].end) if len(gaps) > 0: largest_gap = np.max(gaps) else: largest_gap = 0 return largest_gap def analyze_instrument(inst): # test that piano plays throughout init = time.time() notes = inst.notes.copy() nb_notes = len(notes) start = notes[0].start end = inst.get_end_time() duration = end - start largest_gap = compute_largest_gap(notes) return nb_notes, start, end, duration, largest_gap def remove_beginning_and_end(midi, end_time): notes = midi.instruments[0].notes.copy() new_notes = [n for n in notes if n.start > REMOVE_FIRST_AND_LAST and n.end < end_time - REMOVE_FIRST_AND_LAST] midi.instruments[0].notes = new_notes return midi def remove_blanks_beginning_and_end(midi): # remove blanks and the beginning and the end shift = midi.instruments[0].notes[0].start for n in midi.instruments[0].notes: n.start = max(0, n.start - shift) n.end = max(0, n.end - shift) for ksc in midi.key_signature_changes: ksc.time = max(0, ksc.time - shift) for tsc in midi.time_signature_changes: tsc.time = max(0, tsc.time - shift) for pb in midi.instruments[0].pitch_bends: pb.time = max(0, pb.time - shift) for cc in midi.instruments[0].control_changes: cc.time = max(0, cc.time - shift) return midi def is_valid_inst(largest_gap, duration, nb_notes, gap_counts=True): error_msg = '' valid = True if largest_gap > MAX_GAP_IN_SONG and gap_counts: valid = False error_msg += f'wide gap ({largest_gap:.2f} secs), ' if duration < (MIN_LEN + 2 * REMOVE_FIRST_AND_LAST): valid = False error_msg += f'too short ({duration:.2f} secs), ' if nb_notes < MIN_NB_NOTES * duration / 60: # nb of notes needs to be superior to the minimum number / min * the duration in minute valid = False error_msg += f'too few notes ({nb_notes}), ' return valid, error_msg def midi2processed(midi_path, processed_path=None, apply_filtering=True, verbose=False, level=0): assert midi_path.split('.')[-1] in ['mid', 'midi'] if not processed_path: processed_path, _, _ = get_out_path(in_path=midi_path, in_word='midi', out_word='processed', out_extension='.mid') if verbose: print(' ' * level + f'Processing {midi_path}.') if os.path.exists(processed_path): if verbose: print(' ' * (level + 2) + 'Processed midi file already exists.') return processed_path, '' error_msg = 'Error in scrubbing. ' # try: inst_error_msg = '' # load mid file error_msg += 'Error in midi loading?' midi = pm.PrettyMIDI(midi_path) error_msg += ' Nope. Removing invalid notes?' midi.remove_invalid_notes() # filter invalid notes error_msg += ' Nope. Filtering instruments?' # filter instruments instruments = midi.instruments.copy() new_instru = [] instruments_data = [] for i_inst, inst in enumerate(instruments): if inst.program <= 7 and not inst.is_drum and len(inst.notes) > 5: # inst is a piano # check data inst.notes = sort_notes(inst.notes) # sort notes inst.notes = delete_notes_end_after_start(inst.notes) # delete invalid notes nb_notes, start, end, duration, largest_gap = analyze_instrument(inst) is_valid, err_msg = is_valid_inst(largest_gap=largest_gap, duration=duration, nb_notes=nb_notes, gap_counts='maestro' not in midi_path) if is_valid or not apply_filtering: new_instru.append(inst) instruments_data.append([nb_notes, start, end, duration, largest_gap]) else: inst_error_msg += 'inst1: ' + err_msg + '\n' instruments_data = np.array(instruments_data) error_msg += ' Nope. Taking one instrument?' if len(new_instru) == 0: error_msg = f'No piano instrument. {inst_error_msg}' assert False elif len(new_instru) > 1: # take instrument playing the most notes instrument = new_instru[np.argmax(instruments_data[:, 0])] else: instrument = new_instru[0] instrument.program = 0 # set the instrument to Grand Piano. midi.instruments = [instrument] # put instrument in midi file error_msg += ' Nope. Removing blanks?' # remove first and last REMOVE_FIRST_AND_LAST seconds (avoid clapping and jingles) end_time = midi.get_end_time() if apply_filtering: midi = remove_beginning_and_end(midi, end_time) # remove beginning and end midi = remove_blanks_beginning_and_end(midi) error_msg += ' Nope. Saving?' # save midi file midi.write(processed_path) error_msg += ' Nope.' if verbose: extra = f' Saved to {processed_path}' if midi_path else '' print(' ' * (level + 2) + f'Success! {extra}') return processed_path, '' #except: # if verbose: print(' ' * (level + 2) + 'Scrubbing failed.') # if os.path.exists(processed_path): # os.remove(processed_path) # return None, error_msg + ' Yes.'