| 1234567891011121314151617181920212223242526272829 |
- import matplotlib
- from matplotlib import pyplot as plt
- from torch import Tensor
- matplotlib.use("Agg")
- def plot_mel(data, titles=None):
- fig, axes = plt.subplots(len(data), 1, squeeze=False)
- if titles is None:
- titles = [None for i in range(len(data))]
- plt.tight_layout()
- for i in range(len(data)):
- mel = data[i]
- if isinstance(mel, Tensor):
- mel = mel.detach().cpu().numpy()
- axes[i][0].imshow(mel, origin="lower")
- axes[i][0].set_aspect(2.5, adjustable="box")
- axes[i][0].set_ylim(0, mel.shape[0])
- axes[i][0].set_title(titles[i], fontsize="medium")
- axes[i][0].tick_params(labelsize="x-small", left=False, labelleft=False)
- axes[i][0].set_anchor("W")
- return fig
|