tr_icdar.cpp 3.85 KB
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//                For Open Source Computer Vision Library
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#include "opencv2/datasets/tr_icdar.hpp"

#include <opencv2/core.hpp>

#include <cstdio>
#include <cstdlib> // atoi

#include <string>
#include <vector>

using namespace std;
using namespace cv;
using namespace cv::datasets;

int main(int argc, char *argv[])
{
    const char *keys =
            "{ help h usage ? |    | show this message }"
            "{ path p         |true| path to dataset root folder }";
    CommandLineParser parser(argc, argv, keys);
    string path(parser.get<string>("path"));
    if (parser.has("help") || path=="true")
    {
        parser.printMessage();
        return -1;
    }

    // loading train & test images description
    Ptr<TR_icdar> dataset = TR_icdar::create();
    dataset->load(path);

    // ***************
    // dataset. train & test contains images description.
    // For example, let output the last element in train set and it's description.
    // And their sizes.
    printf("train size: %u\n", (unsigned int)dataset->getTrain().size());
    printf("test size: %u\n", (unsigned int)dataset->getTest().size());

    TR_icdarObj *example = static_cast<TR_icdarObj *>(dataset->getTrain().back().get());
    printf("last element:\nfile name: %s", example->fileName.c_str());
    printf("\nlex100: ");
    for (vector<string>::iterator it=example->lex100.begin(); it!=example->lex100.end(); ++it)
    {
        printf("%s,", (*it).c_str());
    }
    printf("\nlexFULL: ");
    for (vector<string>::iterator it=example->lexFull.begin(); it!=example->lexFull.end(); ++it)
    {
        printf("%s,", (*it).c_str());
    }
    printf("\nwords:\n");
    for (vector<word>::iterator it=example->words.begin(); it!=example->words.end(); ++it)
    {
        word &t = (*it);
        printf("%s\nheight: %u, width: %u, x: %u, y: %u\n",
               t.value.c_str(), t.height, t.width, t.x, t.y);
    }

    return 0;
}