Vision Transformer with support for patch or hybrid CNN input stage

Fully connection operations for target net Note: Weights & biases are different for different images in a batch, thus here w

Image to Patch Embedding

Individual audio video reader with convenient indexing function. Parameters ---------- uri: str Path of file. ctx: decord.Con

Drop paths (Stochastic Depth) per sample (when applied in main path of residual blocks).

Convert any spelled-out numbers into arabic numbers, while handling: - remove any commas - keep the suffixes such as: `1960s`, `274th`,

Applies British-American spelling mappings as listed in [1]. [1] https://www.tysto.com/uk-us-spelling-list.html

Class to store statistics of features, including all features and mean/covariance. Args: capture_all: Whether to store all the featu

Hyper network for learning perceptual rules. Args: lda_out_channels: local distortion aware module output size. hyper_in_cha

Select the sample with the highest log probabilities, penalized using either a simple length normalization or Google NMT paper's length penal

Vision Transformer with support for patch or hybrid CNN input stage

Vision Transformer with support for patch or hybrid CNN input stage

Target network for quality prediction.

A thin wrapper around `GPT2TokenizerFast` providing quick access to special tokens

Class to create dataloaders for video datasets Args: data_path: Path to the folder with video frames or videos. image_folder: I

Vision Transformer with support for patch or hybrid CNN input stage

Generic dataset for videos stored as images. The loading will iterates over all the folders and subfolders in the provided directory. Ea