Rename and move images to new directory.

r"""Converts an integer label x-D tensor to a one-hot (x+1)-D tensor. Args: labels (torch.Tensor) : tensor with labels of shape :math:`(N,

Partition the trainval set into train and val set. Args: im_names: trainval image names parse_im_name: a function to parse id and camera fro

Create 4-dimensional blob from image :param image: input image :param height: the height of the resized input image :param width: the

Read all images from a directory into a list :param path_list: the list of image path

Forword propagation for a batch of images. :param inputs: input batch of images :param model_path: path to ReID model :param backend:

Rename and move all used images to a directory.

r""" Sets the epoch for this sampler. When :attr:`shuffle=True`, this ensures all replicas use a different random ordering for each ep

Compute the euclidean or cosine distance of all pairs. :param array1: numpy array with shape [m1, n] :param array2: numpy array with sh

Return the index of top K gallery images most similar to the query images :param query_feat: array of feature vectors of query images :pa

Refactor file directories, rename images and partition the train/val/test set.

Visualize the retrieval results with the person ReID model :param topk_idx: the index of ranked gallery images for each query image :para

Args: index (int): Index Returns: tuple: (image, target) where target is class_index of the target class.

Args: index (int): Index Returns: tuple: (image, target) where target is class_index of the target class.

:param index: :return:

Args: index (int): Index Returns: tuple: (image, target) where target is class_index of the target class.

Args: index(int): Index Returns: tuple: (images, labels, captions)