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[Jean-Heng-Huang]

when I run （!python3 model_run.py -mode=test -code=isgn -path=./test_pieces/bps_27_1/ -comp=Beethoven -tempo=90 -vel='50,90'）on colab.
the result is：
=> loading checkpoint 'isgn_best.pth.tar'
device is 0
=> loaded checkpoint 'prime_isgn_best.pth.tar' (epoch 13)
=> loaded checkpoint 'trill_default_best.pth.tar' (epoch 30)
Traceback (most recent call last):
File "model_run.py", line 1089, in
load_file_and_generate_performance(args.testPath)
File "model_run.py", line 354, in load_file_and_generate_performance
vel_pair)
ValueError: not enough values to unpack (expected 6, got 5)

Please tell me how to solve the problem. Thanks!!!!!

[kaisubr]

I don't know if this was fixed on another branch but it's because of this commit I think. Either revert or making these changes to model_run.py helped me:

def load_file_and_generate_performance(...):
-    test_x, xml_notes, xml_doc, edges, note_locations, part_names = xml_matching.read_xml_to_array(path_name, MEANS, STDS,
+    test_x, xml_notes, xml_doc, edges, note_locations = xml_matching.read_xml_to_array(path_name, MEANS, STDS,
                                                                                        start_tempo, composer,
                                                                                        vel_pair)

...

-    xml_matching.save_midi_notes_as_piano_midi(output_midi, midi_pedals, save_name + '.mid', part_names=part_names,
+    xml_matching.save_midi_notes_as_piano_midi(output_midi, midi_pedals, save_name + '.mid',
                                                bool_pedal=args.boolPedal, disklavier=args.disklavier)

Seems pyScoreParser/xml_matching is outdated or something? don't have a lot of context

P.S. you'll also want to make sure test_result/ exists, either mkdir -p test_result or

def load_file_and_generate_performance(...):
...
    piece_name = path_name.split('/')
+   os.makedirs('test_result/', exist_ok=True)
    save_name = 'test_result/' + piece_name[-2] + '_by_' + args.modelCode + '_z' + str(z)
    perf_worm.plot_performance_worm(output_features, save_name + '.png')