---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-11-6634fd8f8eb4> in <module>
----> 1 dict = tran.transcribe(audio, "Ascended Vibrations.mid")

A:\***\piano_transcription_inference\inference.py in transcribe(self, audio, midi_path)
     80             * self.segment_samples - audio_len
     81
---> 82         audio = np.concatenate((audio, np.zeros((1, pad_len))), axis=1)
     83
     84         # Enframe to segments

<__array_function__ internals> in concatenate(*args, **kwargs)

ValueError: all the input arrays must have same number of dimensions, but the array at index 0 has 3 dimension(s) and the array at index 1 has 2 dimension(s)

As discussed in Issue https://github.com/bytedance/GiantMIDI-Piano/issues/6 of the main repo, as of April 2022 some YT videos are missing, and the download&transcription scripts crash on those.

This PR adapts the scripts to ignore missing entries. Tested on Ubuntu 20.04 with recent CUDA and given dependencies.

Hi!

Thanks for this amazing work.

I've encountered a small issue while downloading the audio data. My first impression is that it is related to files not being available anymore. Here is the log:

python3 dataset.py download_youtube_piano_solo --workspace=$WORKSPACE --begin_index=0 --end_index=30000
[nltk_data] Downloading package punkt to /home/aferro/nltk_data...
[nltk_data]   Package punkt is already up-to-date!
[nltk_data] Downloading package averaged_perceptron_tagger to
[nltk_data]     /home/aferro/nltk_data...
[nltk_data]   Package averaged_perceptron_tagger is already up-to-
[nltk_data]       date!
0; Jag A.; Je t'aime Juliette; Je t'aime Juliette - A. Jag
ERROR: Video unavailable

[]
1; C. A. Aadler; Floating Islands; Mind-Boggling Off-Grid FLOATING Island HOMESTEAD
Traceback (most recent call last):
  File "dataset.py", line 660, in <module>
    download_youtube_piano_solo(args)
  File "dataset.py", line 565, in download_youtube_piano_solo
    if float(meta_dict['piano_solo_prob'][n]) >= 0.5:
ValueError: could not convert string to float: ''

As we can see, the meta_dict['piano_solo_prob'][n] entry is expected to yield a string that can be casted to a float, i.e. something like "0.12345". But sometimes it yields empty strings, which cannot be casted into floats.

Without analyzing too much of the code, a possible fix could be the following:

try:
    prob = float(meta_dict['piano_solo_prob'][n])
except ValueError as ve:
    print("SKIPPING ENTRY DUE TO ERROR:", ve)
    n += 1
    continue

if prob >= 0.5:
    count += 1
    ...etc

So far this seems to run OK on my end, yielding the desired audio data and logs under "$WORKSPACE", but I'm not sure if we're supposed to ignore the empty n entries, or rather fix them so no empty entries are provided. What do you think? If this looks OK feel free to use the code, or let me know if you'd like me to do a PR.

Cheers,
Andres

如图 为了在安卓上运行它，我装了linux容器并装好了所有依赖 但是我第一次运行时它说

Error in cpuinfo: failed to parse the list of possible processors in /sys/devices/system/cpu/possible Error in cpuinfo: failed to parse the list of present processors in /sys/devices/system/cpu/present Error in cpuinfo: failed to parse both lists of possible and present processors 因为linux容器本来就没这两个文件于是我手动创建了它们然后编好了内容 于是再次运行时就出现了Illegal instruction 可能是安卓特色(?) 有啥解决方案没？