same output as PIL.ImageEnhance.Contrast

Create by split datasets inheriting torch.utils.data.Datasets. # build() can be dataset-specific. Overwrite to customize.

Create by split datasets inheriting torch.utils.data.Datasets. # build() can be dataset-specific. Overwrite to customize.

Create by split datasets inheriting torch.utils.data.Datasets. # build() can be dataset-specific. Overwrite to customize.

Create by split datasets inheriting torch.utils.data.Datasets. # build() can be dataset-specific. Overwrite to customize.

Create by split datasets inheriting torch.utils.data.Datasets. # build() can be dataset-specific. Overwrite to customize.

Create by split datasets inheriting torch.utils.data.Datasets. # build() can be dataset-specific. Overwrite to customize.

Create by split datasets inheriting torch.utils.data.Datasets. # build() can be dataset-specific. Overwrite to customize.

Create by split datasets inheriting torch.utils.data.Datasets. # build() can be dataset-specific. Overwrite to customize.

Build a dictionary of datasets, keyed by split 'train', 'valid', 'test'. Download dataset and annotations automatically if not exist.

Args: feat_shape: dim: temperature: reverse_coord: stack grid order W, H instead of H, W interleave_sin_c

This implementation downloads the remote resource and caches it locally. The resource will only be downloaded if not previously requested.

same output as PIL.ImageEnhance.Color

Compute similarity i2t, t2i matrix for the given data loader.

Compute similarity i2t, t2i matrix for the given data loader.

Compute similarity i2t, t2i matrix for the given data loader.

same output as PIL.ImageEnhance.Contrast

Simply create the symlinks for a given file1 to file2. Useful during model checkpointing to symlinks to the latest successful checkpoint.

A property to get and create dataloaders by split just in need. If no train_dataset_ratio is provided, concatenate map-style dataset

A property to get and create dataloaders by split just in need. If no train_dataset_ratio is provided, concatenate map-style dataset

Overwrite model.train with this function to make sure train/eval mode does not change anymore.

Download a file from google drive Downloading an URL from google drive requires confirmation when the file of the size is too big (google

same output as PIL.ImageOps.equalize PIL's implementation is different from cv2.equalize

Set to True to skip training.

Extract features for multimodal or unimodal samples. Args: samples (dict): A dictionary of samples, containing the follo

Extract features for multimodal or unimodal samples. Args: samples (dict): A dictionary of samples, containing the follo

Extract features for multimodal or unimodal samples. Args: samples (dict): A dictionary of samples, containing the follow