dodox/Spikey
1
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity

Nicer eval graphs for wandb

Browse Source
This commit is contained in:
Dominik Moritz Roth 2024-05-28 12:53:00 +02:00
parent ce28f600ce
commit d35e3293fa
1 changed files with 25 additions and 2 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

27
utils.py
View File

@ -14,7 +14,7 @@ def visualize_wav_data(sample_rate, data, title="WAV Data", num_points=None):
plt.ylabel('Amplitude')
plt.show()
def visualize_prediction(true_data, predicted_data, delta_data, num_points=None, epoch=None, name=''):
def visualize_prediction_grid(true_data, predicted_data, delta_data, num_points=None, epoch=None):
"""Visualize the true data, predicted data, deltas, and combined plot."""
if num_points:
true_data = true_data[:num_points]
@ -55,8 +55,31 @@ def visualize_prediction(true_data, predicted_data, delta_data, num_points=None,
file_path = os.path.join(tmp_dir, f'prediction_plot_{np.random.randint(1e6)}.png')
plt.savefig(file_path)
plt.close()
wandb.log({f"Prediction vs True Data {name}": wandb.Image(file_path)}, step=epoch)
return file_path
def visualize_prediction(true_data, predicted_data, delta_data, num_points=None, epoch=None):
"""Visualize the combined plot of true data, predicted data, and deltas."""
if num_points:
true_data = true_data[:num_points]
predicted_data = predicted_data[:num_points]
delta_data = delta_data[:num_points]
plt.figure(figsize=(20, 10))
plt.plot(true_data, label='True Data')
plt.plot(predicted_data, label='Predicted Data', color='orange')
plt.plot(delta_data, label='Delta', color='red')
plt.title('Combined Data')
plt.xlabel('Sample')
plt.ylabel('Amplitude')
plt.legend()
plt.tight_layout()
tmp_dir = os.getenv('TMPDIR', '/tmp')
file_path = os.path.join(tmp_dir, f'prediction_plot_{np.random.randint(1e6)}.png')
plt.savefig(file_path)
plt.close()
return file_path
def plot_delta_distribution(deltas, epoch):
"""Plot the distribution of deltas."""