UCF-Crime
import sys
sys.path.append('..')
from pysauron.datasets import UCFCrime
from pysauron.transforms import RandomAnomalyInject, ChangeDirection, FrameDrop
import matplotlib.pyplot as plt
from IPython.display import clear_output
train_dataset = UCFCrime(root='../data/UCF-Crime/', test_mode=False, _debug=True)
test_dataset = UCFCrime(root='../data/UCF-Crime/', test_mode=True, _debug=True)
print('# Train samples: ', len(train_dataset))
print('# Test samples: ', len(test_dataset))
Frame drop augmentationยค
sample = test_dataset[180]
video, label, temporal_l = FrameDrop(k=5, always_apply=True)(video=sample[0], label=sample[1], temporal_label=sample[2])
for i in range(video.shape[0]):
plt.imshow(video[i])
plt.title(f'Label: {temporal_l[i]}')
clear_output(True)
plt.show()
print('Sample temporal labels after transform: ', temporal_l)
Direction change augmentationยค
sample = test_dataset[180]
video, label, temporal_l = ChangeDirection(always_apply=True)(video=sample[0], label=sample[1], temporal_label=sample[2])
for i in range(video.shape[0]):
plt.imshow(video[i])
plt.title(f'Label: {temporal_l[i]}')
clear_output(True)
plt.show()
print('Sample temporal labels after transform: ', temporal_l)
Randomg injection augmentationยค
sample = test_dataset[180]
video, label, temporal_l = RandomAnomalyInject(
anomaly_folder='/Users/bogdanivanyuk/Desktop/PySauron/pysauron/transforms/assets/anomalies/animals',
always_apply=True)(video=sample[0], label=sample[1], temporal_label=sample[2])
for i in range(video.shape[0]):
plt.imshow(video[i])
plt.title(f'Label: {temporal_l[i]}')
clear_output(True)
plt.show()
print('Sample temporal labels after transform: ', temporal_l)