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import matplotlib
matplotlib.use("Agg")
import matplotlib.pylab as plt
import numpy as np
import glob
def save_figure_to_numpy(fig, spectrogram = False):
# save it to a numpy array.
data = np.fromstring(fig.canvas.tostring_rgb(), dtype=np.uint8, sep='')
data = data.reshape(fig.canvas.get_width_height()[::-1] + (3,))
if spectrogram:
return data
data = np.transpose(data, (2, 0, 1))
return data
def plot_waveform_to_numpy(waveform):
fig, ax = plt.subplots(figsize=(12, 3))
ax.plot()
ax.plot(range(len(waveform)), waveform,
linewidth=0.1, alpha=0.7, color='blue')
plt.xlabel("Samples")
plt.ylabel("Amplitude")
plt.ylim(-1, 1)
plt.tight_layout()
fig.canvas.draw()
data = save_figure_to_numpy(fig)
plt.close()
return data
def plot_spectrogram_to_numpy(spectrogram):
fig, ax = plt.subplots(figsize=(12, 3))
im = ax.imshow(spectrogram, aspect="auto", origin="lower",
interpolation='none')
plt.colorbar(im, ax=ax)
plt.xlabel("Frames")
plt.ylabel("Channels")
plt.tight_layout()
fig.canvas.draw()
data = save_figure_to_numpy(fig, True)
plt.close()
return data
def get_files(path, extension='.wav') :
filenames = []
for filename in glob.iglob(f'{path}/*{extension}', recursive=True):
filenames += [filename]
return filenames
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