private helper for setting up the files_list :return: files => list of paths of files

private helper for setting up the files_list :return: files => list of paths of files

parse and load the provided configuration :param conf_file: configuration file :return: conf => parsed configuration

Main function for the script :param args: parsed command line arguments :return: None

Main function for the script :param args: parsed command line arguments :return: None

command line arguments parser :return: args => parsed command line arguments

command line arguments parser :return: args => parsed command line arguments

plot the discriminator loss values and save the plot if required :param loss_vals: (Variable Arg) numpy array or Sequence like for plotting v

read and load the loss values from a loss.log file :param file_name: path of the loss.log file :param delimiter: delimiter used to delimi

obtain the image (read and transform) :param idx: index of the file required :return: img => image array

obtain the image (read and transform) :param idx: index of the file required :return: img => image array

constructor for the class :param data_dir: path to the directory containing the data :param transform: transforms to be appli

constructor for the class :param data_dir: path to the directory containing the data :param transform: transforms to be appli

compute the length of the dataset :return: len => length of dataset

compute the length of the dataset :return: len => length of dataset

generate the data_loader from the given dataset :param dataset: PyTorch dataset :param batch_size: batch size of the data :param num_

obtain the image transforms required for the input data :param new_size: size of the resized images :return: image_transform => transform