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audio/6p24c.mp3

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audio/8MC4c.mp3

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audio/9kC4c.mp3

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audio/DMC4c.mp3

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audio/MtY4c.mp3

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audio/lyC4c.mp3

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metadata.csv

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+split,midi_filename,audio_filename,guitar_type,slice_id,artist,name
+train,midi/9wp4c.mid,audio/9wp4c.mp3,electric,9wp4c,Earl Klugh,Michelle.mp3
+train,midi/scC4c.mid,audio/scC4c.mp3,electric,scC4c,George Benson,Tenderly.mp3
+train,midi/2DC4c.mid,audio/2DC4c.mp3,electric,2DC4c,Johnny Smith,Autumn Nocturne.mp3
+train,midi/DMC4c.mid,audio/DMC4c.mp3,electric,DMC4c,Kenny Burrell,But Not For Me.mp3
+train,midi/lyC4c.mid,audio/lyC4c.mp3,nylon,lyC4c,Paulinho Nogueira,Traverssia.mp3
+train,midi/hTs4c.mid,audio/hTs4c.mp3,nylon,hTs4c,Pat Metheny,Medley.mp3
+train,midi/3fC4c.mid,audio/3fC4c.mp3,electric,3fC4c,Joe Pass,Bluesette.mp3
+train,midi/Fp24c.mid,audio/Fp24c.mp3,nylon,Fp24c,Earl Klugh,Ding Dong The Witch Is Dead.mp3
+train,midi/SM54c.mid,audio/SM54c.mp3,electric,SM54c,Harry Leahey,Embraceable You.mp3
+train,midi/3p24c.mid,audio/3p24c.mp3,nylon,3p24c,Earl Klugh,April Fools.mp3
+train,midi/WWh4c.mid,audio/WWh4c.mp3,nylon,WWh4c,Chet Atkins,Bye Bye Blackbird.mp3
+train,midi/VyC4c.mid,audio/VyC4c.mp3,electric,VyC4c,Paulinho Nogueira,João e Maria.mp3
+train,midi/SXw4c.mid,audio/SXw4c.mp3,nylon,SXw4c,Joe Pass,Stardust.mp3
+train,midi/3yC4c.mid,audio/3yC4c.mp3,nylon,3yC4c,Ralph Towner,Here There and Everywhere.mp3
+train,midi/cKR4c.mid,audio/cKR4c.mp3,nylon,cKR4c,Charlie Byrd,God Rest Ye Merry Gentlemen.mp3
+train,midi/GMC4c.mid,audio/GMC4c.mp3,nylon,GMC4c,Laurindo Almeida,Nocturne.mp3
+train,midi/yfC4c.mid,audio/yfC4c.mp3,acoustic,yfC4c,Joe Pass,All The Things You Are.mp3
+train,midi/f964c.mid,audio/f964c.mp3,electric,f964c,Cal Collins,The Nearness Of You.mp3
+train,midi/TcC4c.mid,audio/TcC4c.mp3,electric,TcC4c,George Benson,My One and Only Love.mp3
+train,midi/8km4c.mid,audio/8km4c.mp3,electric,8km4c,Jimmy Raney,The End Of A Love Affair.mp3
+train,midi/sxh4c.mid,audio/sxh4c.mp3,nylon,sxh4c,Joe Pass,Autumn Leaves.mp3
+train,midi/tp24c.mid,audio/tp24c.mp3,nylon,tp24c,Earl Klugh,Emily.mp3
+train,midi/Yp24c.mid,audio/Yp24c.mp3,nylon,Yp24c,Earl Klugh,Alice In Wonderland.mp3
+train,midi/KNC4c.mid,audio/KNC4c.mp3,nylon,KNC4c,Earl Klugh,Winter Wonderland.mp3
+train,midi/qwC4c.mid,audio/qwC4c.mp3,electric,qwC4c,Ted Greene,Someday my Prince Will Come (Baroque variation).mp3
+train,midi/9NC4c.mid,audio/9NC4c.mp3,nylon,9NC4c,Earl Klugh,Someday My Prince Will Come.mp3
+train,midi/C4C4c.mid,audio/C4C4c.mp3,nylon,C4C4c,Lenny Breau,It Could Happen to You.mp3
+train,midi/4NC4c.mid,audio/4NC4c.mp3,nylon,4NC4c,Earl Klugh,Smoke Gets In Your Eyes.mp3
+train,midi/KZh4c.mid,audio/KZh4c.mp3,nylon,KZh4c,Earl Klugh,Moon River.mp3
+train,midi/NyC4c.mid,audio/NyC4c.mp3,electric,NyC4c,Paulinho Nogueira,Carolina.mp3
+train,midi/CyC4c.mid,audio/CyC4c.mp3,nylon,CyC4c,Ralph Towner,Fall In Love Too Easily.mp3
+train,midi/64C4c.mid,audio/64C4c.mp3,electric,64C4c,Pasquale Grasso,Have You Met Miss Jones.mp3
+train,midi/JGDyc.mid,audio/JGDyc.mp3,electric,JGDyc,Pasquale Grasso,Over The Rainbow.mp3
+train,midi/zzfyc.mid,audio/zzfyc.mp3,electric,zzfyc,Wes Montgomery,While We're Young.mp3
+train,midi/5X94c.mid,audio/5X94c.mp3,nylon,5X94c,Luiz Bonfa,Tenderly.mp3
+train,midi/hp24c.mid,audio/hp24c.mp3,nylon,hp24c,Earl Klugh,Lullaby of Birdland.mp3
+train,midi/YNC4c.mid,audio/YNC4c.mp3,nylon,YNC4c,Earl Klugh,The Night Has A Thousand Eyes.mp3
+train,midi/rDC4c.mid,audio/rDC4c.mp3,electric,rDC4c,Jonathan Kreisberg,I Thought About You.mp3
+train,midi/74C4c.mid,audio/74C4c.mp3,nylon,74C4c,Lenny Breau,Warm up and Improvisation on Autumn Leaves.mp3
+train,midi/3H74c.mid,audio/3H74c.mp3,acoustic,3H74c,Stochelo Rosenberg,Improvisation from Neune Campsite Holland.mp3
+train,midi/2Y4yc.mid,audio/2Y4yc.mp3,nylon,2Y4yc,Earl Klugh,Our Love Is Here To Stay.mp3
+train,midi/8DC4c.mid,audio/8DC4c.mp3,electric,8DC4c,Johnny Smith,The Maid With Flaxen Hair.mp3
+train,midi/WcC4c.mid,audio/WcC4c.mp3,electric,WcC4c,George Van Eps,Scott's Lullabye.mp3
+train,midi/mwC4c.mid,audio/mwC4c.mp3,electric,mwC4c,Tuck Andress,Winter Wonderland.mp3
+train,midi/6DC4c.mid,audio/6DC4c.mp3,electric,6DC4c,Jonathan Kreisberg,Have You Met Mrs' Jones.mp3
+train,midi/bcs4c.mid,audio/bcs4c.mp3,nylon,bcs4c,Al Viola,Cheek to Cheek.mp3
+train,midi/JkC4c.mid,audio/JkC4c.mp3,electric,JkC4c,Lenny Breau,Autumn Leaves.mp3
+train,midi/n4C4c.mid,audio/n4C4c.mp3,nylon,n4C4c,Luiz Bonfa,Night and Day.mp3
+train,midi/hwC4c.mid,audio/hwC4c.mp3,electric,hwC4c,Tuck Andress,Silent Night.mp3
+train,midi/gfC4c.mid,audio/gfC4c.mp3,nylon,gfC4c,Joe Pass,Someone To Watch Over Me.mp3
+train,midi/MtY4c.mid,audio/MtY4c.mp3,nylon,MtY4c,Charlie Byrd,It Came Upon the Midnight Clear.mp3
+train,midi/LNC4c.mid,audio/LNC4c.mp3,nylon,LNC4c,Earl Klugh,You Make Me Feel So Young.mp3
+train,midi/g4C4c.mid,audio/g4C4c.mp3,electric,g4C4c,Oscar Peterson,Little Girl Blue.mp3
+train,midi/f4W4c.mid,audio/f4W4c.mp3,nylon,f4W4c,Lenny Breau,Emily.mp3
+train,midi/9kC4c.mid,audio/9kC4c.mp3,nylon,9kC4c,Lenny Breau,But Beautiful.mp3
+train,midi/6p24c.mid,audio/6p24c.mp3,nylon,6p24c,Earl Klugh,If I Fell.mp3
+train,midi/QDC4c.mid,audio/QDC4c.mp3,nylon,QDC4c,Jonathan Kreisberg,Canto De Ossanha.mp3
+train,midi/xbR4c.mid,audio/xbR4c.mp3,electric-band,xbR4c,Chet Atkins,Struttin.mp3
+train,midi/ByC4c.mid,audio/ByC4c.mp3,nylon,ByC4c,Russel Malone,Softly and Tenderly.mp3
+train,midi/cMC4c.mid,audio/cMC4c.mp3,electric,cMC4c,Julian Lage,Autumn Leaves.mp3
+train,midi/dfC4c.mid,audio/dfC4c.mp3,electric,dfC4c,Joe Pass,Li'l Darlin 'live'.mp3
+train,midi/GVC4c.mid,audio/GVC4c.mp3,electric,GVC4c,Jimmy Ponder,A Tribute To Rose.mp3
+validate,midi/cDC4c.mid,audio/cDC4c.mp3,nylon,cDC4c,Joe Pass,They Can't Take That Away From Me.mp3
+validate,midi/LDC4c.mid,audio/LDC4c.mp3,electric,LDC4c,Johnny Smith,The Boy Next Door.mp3
+validate,midi/8MC4c.mid,audio/8MC4c.mp3,electric,8MC4c,Kenny Burrell,People.mp3
+validate,midi/qNC4c.mid,audio/qNC4c.mp3,nylon,qNC4c,Earl Klugh,The Summer Know.mp3
+validate,midi/wNC4c.mid,audio/wNC4c.mp3,nylon,wNC4c,Earl Klugh,Tenderly.mp3
+validate,midi/PQh4c.mid,audio/PQh4c.mp3,nylon,PQh4c,Luiz Bonfá,Quebra Mar (The Seawall).mp3
+validate,midi/5xh4c.mid,audio/5xh4c.mp3,acoustic,5xh4c,Joe Pass,Night and Day.mp3
+validate,midi/LwC4c.mid,audio/LwC4c.mp3,nylon,LwC4c,Toninho Horta,Moon River.mp3
+test,midi/p4C4c.mid,audio/p4C4c.mp3,nylon,p4C4c,Paulinho Nogueira,Bachianinha no1.mp3
+test,midi/MDC4c.mid,audio/MDC4c.mp3,electric,MDC4c,Joe Pass,White Christmas.mp3
+test,midi/5C74c.mid,audio/5C74c.mp3,electric,5C74c,Martin Taylor,Danny Boy.mp3
+test,midi/2p24c.mid,audio/2p24c.mp3,nylon,2p24c,Earl Klugh,Angelina.mp3
+test,midi/-Qh4c.mid,audio/-Qh4c.mp3,electric,-Qh4c,Martin Taylor,I Remember Clifford.mp3
+test,midi/gwC4c.mid,audio/gwC4c.mp3,electric,gwC4c,Tony Mottola,Yesterday Yesterdays.mp3
+test,midi/rwC4c.mid,audio/rwC4c.mp3,electric,rwC4c,Tuck Andress,"Coventry  Carol, What child is this.mp3"
+test,midi/QyC4c.mid,audio/QyC4c.mp3,electric,QyC4c,Stephen D. Anderson,Disney Medley.mp3
+test,midi/R5d4c.mid,audio/R5d4c.mp3,electric,R5d4c,Peter Leitch,Quasimodo.mp3

test_set/dataset-eval-francoisleduc.log

@@ -0,0 +1,49 @@
+Reading inline script metadata from: dataset-eval.py
+/home/xavriley/.cache/uv/archive-v0/j45m5CLGuJQsE2pumkyAS/lib/python3.9/site-packages/pretty_midi/instrument.py:11: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.
+  import pkg_resources
+/home/xavriley/.cache/uv/archive-v0/j45m5CLGuJQsE2pumkyAS/lib/python3.9/site-packages/mir_eval/transcription.py:161: UserWarning: Reference notes are empty.
+  warnings.warn("Reference notes are empty.")
+/home/xavriley/.cache/uv/archive-v0/j45m5CLGuJQsE2pumkyAS/lib/python3.9/site-packages/mir_eval/transcription.py:163: UserWarning: Estimated notes are empty.
+  warnings.warn("Estimated notes are empty.")
+       Precision_no_offset  ...  Average_Overlap_Ratio_no_offset
+count             9.000000  ...                         9.000000
+mean              0.181015  ...                         0.424439
+std               0.309020  ...                         0.309812
+min               0.000000  ...                         0.000000
+25%               0.002632  ...                         0.084251
+50%               0.032159  ...                         0.605241
+75%               0.090909  ...                         0.647935
+max               0.821984  ...                         0.723400
+
+[8 rows x 4 columns]
+   F-measure_no_offset                        file
+0             0.000000  /tmp/tmpxikrhbtt/-Qh4c.mid
+1             0.133333  /tmp/tmpxikrhbtt/2p24c.mid
+2             0.004773  /tmp/tmpxikrhbtt/5C74c.mid
+3             0.100000  /tmp/tmpxikrhbtt/MDC4c.mid
+4             0.061584  /tmp/tmpxikrhbtt/QyC4c.mid
+5             0.000000  /tmp/tmpxikrhbtt/R5d4c.mid
+6             0.037500  /tmp/tmpxikrhbtt/gwC4c.mid
+7             0.861805  /tmp/tmpxikrhbtt/p4C4c.mid
+8             0.714409  /tmp/tmpxikrhbtt/rwC4c.mid
+       Precision_no_offset  ...  Average_Overlap_Ratio_no_offset
+count             9.000000  ...                         9.000000
+mean              0.667826  ...                         0.618026
+std               0.113479  ...                         0.054869
+min               0.454221  ...                         0.502160
+25%               0.594851  ...                         0.587332
+50%               0.692376  ...                         0.642143
+75%               0.740533  ...                         0.657532
+max               0.819498  ...                         0.675751
+
+[8 rows x 4 columns]
+   F-measure_no_offset                        file
+0             0.705192  /tmp/tmp9x8l3q1w/-Qh4c.mid
+1             0.747253  /tmp/tmp9x8l3q1w/2p24c.mid
+2             0.666667  /tmp/tmp9x8l3q1w/5C74c.mid
+3             0.690611  /tmp/tmp9x8l3q1w/MDC4c.mid
+4             0.448357  /tmp/tmp9x8l3q1w/QyC4c.mid
+5             0.724554  /tmp/tmp9x8l3q1w/R5d4c.mid
+6             0.609722  /tmp/tmp9x8l3q1w/gwC4c.mid
+7             0.843936  /tmp/tmp9x8l3q1w/p4C4c.mid
+8             0.681857  /tmp/tmp9x8l3q1w/rwC4c.mid

test_set/dataset-eval.py

@@ -0,0 +1,176 @@
+# /// script
+# requires-python = "<3.10"
+# dependencies = [
+#     "mir-eval",
+#     "numpy",
+#     "pandas",
+#     "pretty-midi",
+#     "setuptools",
+# ]
+# ///
+import mir_eval
+from pathlib import Path
+import pretty_midi as pm
+import numpy as np
+import pandas as pd
+import json
+
+pm.pretty_midi.MAX_TICK = 1e10
+
+def ref_pitch_lambda(n):
+    return n.pitch
+
+def est_pitch_lambda(n):
+    return n.pitch
+
+def evaluate(midi_path='*.crepe_notes.mid',
+             midi_replace_str='.crepe_notes.mid',
+             midi_replace_with='.mid',
+             output_label='crepe_notes',
+             base_dir='./data/audio'):
+    results = []
+
+    merge_tracks = True
+
+    # gastro_test_scorehashes = ['Zpswc', 'rc1wc', 'bV1wc', 'XD1wc', '1M1wc', 'pM1wc', '5N1wc', 'bc1wc', 'Vpswc', 'hf1wc', 'vpswc', 'mf1wc', 'BSswc', 'y41wc', 'VD1wc', 'Jw1wc', 'Lf1wc', 'GD1wc', 'c41wc', 'gk1wc', 'Bc1wc', '-k1wc', 'sy1wc', '441wc', 'W41wc', 'xf1wc', 'Ny1wc', '3Sswc', '4w1wc', '1w1wc', 'cw1wc']
+    # hashes_to_skip = ['3HH2c', 'xFC2c'] # these were present in the FiloBass training data
+    hashes_to_skip = ['jlj4c'] # this track didn't align properly
+
+    paths = sorted(Path(base_dir).rglob(midi_path))
+    for path in paths:
+        scorehash = path.stem.replace('-fine-aligned', '')
+        if scorehash in hashes_to_skip:
+            continue
+
+        # print(f"{output_label}: {path}")
+        est_path = str(path)
+        ref_path = str(path).replace(midi_replace_str, midi_replace_with)
+
+        if ref_path == est_path:
+            continue
+
+        try:
+            ref = pm.PrettyMIDI(ref_path)
+        except:
+            # print(f"Couldn't load {ref_path}")
+            continue
+
+        try:
+            est = pm.PrettyMIDI(est_path)
+        except:
+            # print(f"Couldn't load {est_path}")
+            continue
+
+
+        # delete instruments that aren't bass
+        #for i in est.instruments:
+        #    if i.program != 33:
+        #        del(i)
+
+        print(len(est.instruments))
+        ref_times = np.array([[n.start, n.end]
+                              for n in ref.instruments[0].notes])
+        ref_pitches = np.array(
+            [pm.note_number_to_hz(ref_pitch_lambda(n)) for n in ref.instruments[0].notes])
+
+        if merge_tracks:
+            est_times = np.array(
+                [[n.start, n.end]
+                 for inst_notes in map(lambda i: i.notes, est.instruments)
+                 for n in inst_notes])
+            est_pitches = np.array([
+                pm.note_number_to_hz(est_pitch_lambda(n))
+                for inst_notes in map(lambda i: i.notes, est.instruments)
+                for n in inst_notes
+            ])
+        else:
+            est_times = np.array([[n.start, n.end]
+                                  for n in est.instruments[0].notes])
+            est_pitches = np.array([
+                pm.note_number_to_hz(est_pitch_lambda(n)) for n in est.instruments[0].notes
+            ])
+
+        # downbeats_json = json.load(open(Path("../syncpoints") / Path(ref_path).name.replace('-transcribed.mid', '-syncpoints.json')))
+        # downbeats = [x[1] for x in downbeats_json if len(x) == 2 or x[2] == 0]
+        # first_ref_note = downbeats[2]
+        # last_ref_note = downbeats[-2]
+
+        first_ref_note = np.min(ref_times)
+        last_ref_note = np.max(ref_times)
+
+        ref_times_valid_idxs = np.unique(np.where((ref_times > first_ref_note) * (ref_times < last_ref_note))[0])
+        ref_times = ref_times[ref_times_valid_idxs]
+        ref_pitches = ref_pitches[ref_times_valid_idxs]
+
+        est_times_valid_idxs = np.unique(
+            np.where((est_times > first_ref_note)
+                     & (est_times < last_ref_note))[0])
+
+        est_times = est_times[est_times_valid_idxs]
+        est_pitches = est_pitches[est_times_valid_idxs]
+
+        eval_result = mir_eval.transcription.evaluate(ref_times, ref_pitches,
+                                                      est_times, est_pitches,
+                                                      onset_tolerance=0.05)
+
+        # print(str(path))
+        # print(eval_result['F-measure_no_offset'])
+        # breakpoint()
+        eval_result['file'] = str(path)
+        results.append(eval_result)
+    df = pd.DataFrame(results)
+    df.to_pickle(f'{output_label}_eval.pkl')
+    pd.set_option('display.max_colwidth', None)
+    print(df.describe()[['Precision_no_offset', 'Recall_no_offset', 'F-measure_no_offset', 'Average_Overlap_Ratio_no_offset']])
+    print(df['F-measure_no_offset'].to_list())
+
+
+# evaluate('Sax.mt3.mid', '.mt3.mid', 'mt3')
+# evaluate('Sax.crepe_notes_amp_trimming.mid', '.crepe_notes_amp_trimming.mid', 'crepe_notes_amp_trimming')
+# evaluate('Sax_vamp_pyin_pyin_notes.mid', '_vamp_pyin_pyin_notes.mid', 'pyin_notes')
+# evaluate('Sax.crepe_notes_with_onsets.mid', '.crepe_notes_with_onsets.mid', 'crepe_notes_with_onsets')
+
+# evaluate('*_basic_pitch.mid', '_basic_pitch.mid', 'basic_pitch')
+# evaluate('*.mt3.mid', '.mt3.mid', 'mt3')
+# evaluate('*.cn_25ms_min.mid', '.cn_25ms_min.mid', 'crepe_notes-min-dur-25ms')
+# evaluate('*.crepe_notes-min-dur-11ms.mid', '.crepe_notes-min-dur-11ms.mid', 'crepe_notes-min-dur-11ms')
+# evaluate('*.crepe_notes-min-dur-11ms-no-tuning.mid',
+# evaluate('*.crepe_notes-min-dur-25ms-no-tuning.mid',
+#          '.crepe_notes-min-dur-25ms-no-tuning.mid',
+#          'crepe_notes-min-dur-25ms-no-tuning')
+# evaluate('*_vamp_pyin_pyin_notes.mid', '_vamp_pyin_pyin_notes.mid', 'pyin_notes')
+# evaluate('*.cn_transition_a.mid', '.cn_transition_a.mid', 'crepe_notes-transitions-a')
+
+# evaluate('bass.transcription.mid',  '.transcription.mid', '-fine-aligned.mid', 'filobass_cn_sens_2_min_50ms')
+# evaluate('md-bass.mid',  'md-bass.mid', 'bass-fine-aligned.mid', 'melodyne_melodic')
+# evaluate('bass_basic_pitch.mid',  '_basic_pitch.mid', '-fine-aligned.mid', 'filobass_bp')
+# evaluate('bass_basic_pitch.mid',  '_basic_pitch.mid', 'filobass_cn')
+# evaluate('*-fine-aligned.mid',  '-fine-aligned.mid', '-transcribed.mid', 'gastro')
+# evaluate('*-fine-aligned.mid',  '-fine-aligned.mid', '-transcribed.mid', 'BassBooks')
+
+import tempfile
+import shutil
+
+with tempfile.TemporaryDirectory() as tmpdirname:
+    for f in Path("./ground_truth_midi").rglob("*.mid"):
+        shutil.copy(f, tmpdirname)
+    for f in Path("./model_output_ymt3").rglob("*.mid"):
+        shutil.copy(f, tmpdirname)
+
+    evaluate('*.mid',
+        '.mp3.mid',
+        '.mid',
+        'YMT3',
+        base_dir=tmpdirname)
+
+with tempfile.TemporaryDirectory() as tmpdirname:
+    for f in Path("./ground_truth_midi").rglob("*.mid"):
+        shutil.copy(f, tmpdirname)
+    for f in Path("./model_output_ymt3_structured").rglob("*.mid"):
+        shutil.copy(f, tmpdirname)
+
+    evaluate('*.mid',
+        '.mp3.mid',
+        '.mid',
+        'YMT3_Structured',
+        base_dir=tmpdirname)