r"""Function that warps image patchs or tensors by homographies. See :class:`~kornia.geometry.warp.HomographyWarper` for details. Args:

if any previous level of parent folder exists, returns true

return clustering ncluster of x. Args: x (Tensor): B, K, 2 ncluster (int, optional): Number of clusters. Defaults to

return clustering ncluster of x. Args: x (Tensor): B, K, 2 ncluster (int, optional): Number of clusters. Defaults to

r"""Function that applies transformations to a set of points. Args: trans_01 (torch.Tensor): tensor for transformations of shape

Compute the transform in normalized cooridnates and perform the warping.

r"""Applies an affine transformation to a tensor. The function warp_affine transforms the source tensor using the specified matrix: .. m

r"""Computes the grid to warp the coordinates grid by an homography. Args: dst_homo_src (torch.Tensor): Homography or homographies

Initialization

Initialization

The Trainer class handles the training procedure for training the autoencoder. :param config: configuration parameters (see train_ae.py)

The Trainer class handles the training procedure for training the autoencoder. :param config: configuration parameters (see train_ae.py)

The Trainer class handles the training procedure for training the autoencoder. :param config: configuration parameters (see train_ae.

format second to human readable way

find common items from 2 lists, the returned elements are unique. repetitive items will be ignored if the common items in two elements are not in t