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项目作者： takafumihoriuchi

项目描述 ：
MNIST dataset loader for C
高级语言： C
项目地址: git://github.com/takafumihoriuchi/MNIST_for_C.git
创建时间： 2018-03-13T04:43:56Z
项目社区：https://github.com/takafumihoriuchi/MNIST_for_C
开源协议：MIT License
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MNIST for C

This repository contains a header file for loading MNIST dataset in C language.

preparation

  1. download the following data files

    • train image : train-images.idx3-ubyte
    • train label : train-labels.idx1-ubyte
    • test image : t10k-images.idx3-ubyte

    • test label : t10k-labels.idx1-ubyte

      you can find these files inside /data directory in this repository
      they are also available at http://yann.lecun.com/exdb/mnist/

  2. download mnist.h

  3. in mnist.h, set the appropriate data path to the following macros

    • #define TRAIN_IMAGE (ex: "./data/train-images.idx3-ubyte")
    • #define TRAIN_LABEL (ex: "./data/train-labels.idx1-ubyte")
    • #define TEST_IMAGE (ex: "./data/t10k-images.idx3-ubyte")
    • #define TEST_LABEL (ex: "./data/t10k-labels.idx1-ubyte")

  4. add #include "mnist.h" in your C code

usage

after calling the following void function,
load_mnist();
you will be able to access the corresponding data through the following array:

  • train image : train_image[60000][784] (type: double, normalized, flattened)
  • train label : train_label[60000] (type: int)
  • test image : test_image[10000][784] (type: double, normalized, flattened)
  • test label : test_label[10000] (type: int)

functions

  • void load_mnist ( void )
    load mnist data to respective array (as mentioned above)

  • void print_mnist_pixel ( double data_image[][], int num_data )
    print pixel values of all mnist images to stdout
    data_image[][]: train_image or test_image
    num_data: NUM_TRAIN or NUM_TEST

  • void print_mnist_label ( double data_label[][], int num_data )
    print label of all mnist data to stdout
    data_label[][]: train_image or test_image
    num_data: NUM_TRAIN or NUM_TEST

  • void save_mnist_pgm ( double data_image[][SIZE], int index )
    save mnist image as pgm file
    data_image[][]: train_image or test_image
    index: index of data to save (0~59999 for train image, 0~9999 for test image)

example

  1. #include "mnist.h"
  3. int main(void)
  4. {
  5.     load_mnist();
  7.     int i;
  8.     for (i=0; i<784; i++) {
  9.         printf("%1.1f ", test_image[0][i]);
  10.         if ((i+1) % 28 == 0) putchar('\n');
  11.     }
  12.     // 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 
  13.     // 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 
  14.     // 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 
  15.     // 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 
  16.     // 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 
  17.     // 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 
  18.     // 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 
  19.     // 0.0 0.0 0.0 0.0 0.0 0.0 0.3 0.7 0.6 0.6 0.2 0.1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 
  20.     // 0.0 0.0 0.0 0.0 0.0 0.0 0.9 1.0 1.0 1.0 1.0 0.9 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.7 0.2 0.0 0.0 0.0 0.0 0.0 0.0 
  21.     // 0.0 0.0 0.0 0.0 0.0 0.0 0.3 0.4 0.3 0.4 0.6 0.9 1.0 0.9 1.0 1.0 1.0 1.0 0.9 1.0 1.0 0.5 0.0 0.0 0.0 0.0 0.0 0.0 
  22.     // 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1 0.3 0.1 0.3 0.3 0.3 0.2 0.1 0.9 1.0 0.4 0.0 0.0 0.0 0.0 0.0 0.0 
  23.     // 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.3 1.0 0.8 0.1 0.0 0.0 0.0 0.0 0.0 0.0 
  24.     // 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1 0.9 1.0 0.3 0.0 0.0 0.0 0.0 0.0 0.0 0.0 
  25.     // 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5 1.0 0.9 0.2 0.0 0.0 0.0 0.0 0.0 0.0 0.0 
  26.     // 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.2 1.0 1.0 0.2 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 
  27.     // 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5 1.0 0.7 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 
  28.     // 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8 1.0 0.2 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 
  29.     // 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5 1.0 0.7 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 
  30.     // 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.3 1.0 0.9 0.2 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 
  31.     // 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1 0.9 1.0 0.7 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 
  32.     // 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8 1.0 0.9 0.1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 
  33.     // 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1 1.0 1.0 0.3 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 
  34.     // 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1 0.9 1.0 0.5 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 
  35.     // 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5 1.0 1.0 0.2 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 
  36.     // 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.9 1.0 1.0 0.2 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 
  37.     // 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5 1.0 1.0 0.9 0.2 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 
  38.     // 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5 1.0 0.8 0.1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 
  39.     // 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
  41.     printf("label: %d\n", test_label[0]);
  42.     // label: 7
  44.     return 0;
  45. }

to see an actual runnig code, compile and run example.c