OpenCV_4.2.0/opencv_contrib-4.2.0/modules/datasets/samples/tr_icdar.cpp

102 lines
3.8 KiB
C++

/*M///////////////////////////////////////////////////////////////////////////////////////
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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;
}