torch_ecg.augmenters

Augmenters are used to augment the training data.

AugmenterManager(*augs[, random])	The Module to manage the augmenters.
Augmenter()	Base class for augmenters.
BaselineWanderAugmenter(fs[, bw_fs, ...])	Generate baseline wander composed of sinusoidal and Gaussian noise.
CutMix([fs, num_mix, alpha, beta, prob, inplace])	CutMix augmentation.
LabelSmooth([fs, smoothing, prob, inplace])	Label smoothing augmentation.
Mixup([fs, alpha, beta, prob, inplace])	Mixup augmentor.
RandomFlip([fs, per_channel, prob, inplace])	Randomly flip the ECGs along the voltage axis.
RandomMasking(fs[, mask_value, mask_width, ...])	Randomly mask ECGs with a probability.
RandomRenormalize([mean, std, per_channel, ...])	Randomly re-normalize the ECG tensor, using the Z-score normalization method.
StretchCompress([ratio, prob, inplace])	Stretch-or-compress augmenter on ECG tensors.
StretchCompressOffline([ratio, prob, ...])	Offline stretch-or-compress augmenter.