Octet is an OCR model training system, this includes functionality for both preparing and training the data.

This system implements a rudimentary K-NN function to predict the similarity of an OctetCharacter which contains the raw image data (unsigned char*) against a pre-computed array of characters derived from dataset/

NOTE Library under active development, things may change or break. I also appreciate any input on the code, cheers!

See:

• Examples
• Gallery
• Test
• [Credits](#Credits]

See example.c for how you might use this library

Loading a dataset from a folder is slow since everytime pre-processing has to be applied. Hence it is adviced that the data be serialized as a CSV and read from there instead, here is what that may look like :-

#include <octet.h>
  /* ... */

  OctetData* data;

  if (!dataFileExists) {
    data = octet_load_training_data_from_dir("./dataset");
    octet_write_training_data_to_csv("./data.csv");
  } else {
    data = octet_load_training_data_from_csv("./data.csv");
  }

  octet_free_training_data(data);

  /* ... */

#include <octet.h>

  /* ... */

  OctetData* trainingData = octet_load_training_data_from_dir("./dataset");
  OctetCharacter testCharacter = octet_load_character_from_image("./tests/test_data/test-A.jpg");

  char predictedLabel = octet_k_nearest_neighbour(testCharacter, trainingData, /* k */ 3);
  assert(predictedLabel == 'A');

  octet_free_character(testCharacter);
  octet_free_training_data(trainingData);

  /* ... */

The program has been tested against the following samples, feel free to add to the ./dataset, if you want an alt version of "A" in the dataset, jut name it something like A1.jpg

Input	Training Data	Match
		A
		B

.\build.bat TEST
.\octet_test.exe

Credit to rarafael for the shell script

./build.sh TEST
./octet_test

Credit to rarafael for

• Providing the build.sh script
• Implementing octet_load_training_data_from_csv at src/prep.c
• General quality of life improvements