Generative Adversarial Networks Projects

Loading the dataset

Use the methods defined in the Loading the dataset section when we created the Stage-I StackGAN. Load the high- and low-resolution datasets separately. Also, load the training and test datasets separately:

X_hr_train, y_hr_train, embeddings_train = load_dataset(filenames_file_path=filenames_file_path_train,                                                        class_info_file_path=class_info_file_path_train,                                                        cub_dataset_dir=cub_dataset_dir,                                                        embeddings_file_path=embeddings_file_path_train,                                                        image_size=(256, 256))X_hr_test, y_hr_test, embeddings_test = load_dataset(filenames_file_path=filenames_file_path_test,                                                     class_info_file_path=class_info_file_path_test,                                                     cub_dataset_dir=cub_dataset_dir,                                                     embeddings_file_path=embeddings_file_path_test,                                                     image_size=(256, 256))X_lr_train, y_lr_train, ...