// Copyright (C) 2020 Davis E. King (davis@dlib.net) // License: Boost Software License See LICENSE.txt for the full license. #undef DLIB_CIFAR_ABSTRACT_Hh_ #ifdef DLIB_CIFAR_ABSTRACT_Hh_ #include #include #include "../matrix.h" #include "../pixel.h" // ---------------------------------------------------------------------------------------- namespace dlib { void load_cifar_10_dataset ( const std::string& folder_name, std::vector>& training_images, std::vector& training_labels, std::vector>& testing_images, std::vector& testing_labels ); /*! ensures - Attempts to load the CIFAR-10 dataset from the hard drive. The CIFAR-10 dataset consists of 60000 32x32 colour images in 10 classes, with 6000 images per class. There are 50000 training images and 10000 test images. It is available from https://www.cs.toronto.edu/~kriz/cifar.html. In particular, the 6 files comprising the CIFAR-10 dataset should be present in the folder indicated by folder_name. These six files are: - data_batch_1.bin - data_batch_2.bin - data_batch_3.bin - data_batch_4.bin - data_batch_5.bin - test_batch.bin - #training_images == The 50,000 training images from the dataset. - #training_labels == The labels for the contents of #training_images. I.e. #training_labels[i] is the label of #training_images[i]. - #testing_images == The 10,000 testing images from the dataset. - #testing_labels == The labels for the contents of #testing_images. I.e. #testing_labels[i] is the label of #testing_images[i]. throws - dlib::error if some problem prevents us from loading the data or the files can't be found. !*/ } // ---------------------------------------------------------------------------------------- #endif // DLIB_CIFAR_ABSTRACT_Hh_