Spaces:
Build error
Build error
File size: 2,018 Bytes
c970deb d9489e4 520354b 0760318 d9489e4 11e63a0 d9489e4 04107a3 0760318 c970deb b487a20 d9489e4 11e63a0 c9df9d1 d9489e4 520354b 159c013 d9489e4 04107a3 d9489e4 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 |
import collections
import random
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.colors as mcolors
from matplotlib.patches import Rectangle
from PIL import Image
import note_seq
class AudioIOReadError(BaseException): # pylint:disable=g-bad-exception-name
pass
def upload_audio(audio, sample_rate):
return note_seq.audio_io.wav_data_to_samples_librosa(audio, sample_rate=sample_rate)
# Generate piano_roll
def sequence_to_pandas_dataframe(sequence):
pd_dict = collections.defaultdict(list)
for note in sequence.notes:
pd_dict["start_time"].append(note.start_time)
pd_dict["end_time"].append(note.end_time)
pd_dict["duration"].append(note.end_time - note.start_time)
pd_dict["pitch"].append(note.pitch)
pd_dict["instrument"].append(note.instrument)
return pd.DataFrame(pd_dict)
def dataframe_to_pianoroll_img(df):
fig = plt.figure(figsize=(8, 5))
ax = fig.add_subplot(111)
ax.scatter(df.start_time, df.pitch, c="white")
colors = [mcolors.CSS4_COLORS[name] for i, name in enumerate(list(mcolors.CSS4_COLORS))]
random.shuffle(colors)
colordict = {inst: colors[i] for i, inst in enumerate(df["instrument"].unique())}
for _, row in df.iterrows():
ax.add_patch(Rectangle((row["start_time"],
row["pitch"]-0.4),
row["duration"],
0.4,
color=colordict[row["instrument"]]))
plt.xlabel('time (sec.)', fontsize=18)
plt.ylabel('pitch (MIDI)', fontsize=16)
return fig
def fig2img(fig):
"""Convert a Matplotlib figure to a PIL Image and return it"""
import io
buf = io.BytesIO()
fig.savefig(buf, format="png")
buf.seek(0)
img = Image.open(buf)
return img
def create_image_from_note_sequence(sequence):
df_sequence = sequence_to_pandas_dataframe(sequence)
fig = dataframe_to_pianoroll_img(df_sequence)
img = fig2img(fig)
return img |