#include <iostream>
#include <fstream>
const char* keys =
"{ help h | | Print help message. }"
"{ input i | | Path to input image or video file. Skip this argument to capture frames from a camera.}"
"{ detModel dmp | | Path to a binary .pb file contains trained detector network.}"
"{ width | 320 | Preprocess input image by resizing to a specific width. It should be a multiple of 32. }"
"{ height | 320 | Preprocess input image by resizing to a specific height. It should be a multiple of 32. }"
"{ thr | 0.5 | Confidence threshold. }"
"{ nms | 0.4 | Non-maximum suppression threshold. }"
"{ recModel rmp | | Path to a binary .onnx file contains trained CRNN text recognition model. "
"Download links are provided in doc/tutorials/dnn/dnn_text_spotting/dnn_text_spotting.markdown}"
"{ RGBInput rgb |0| 0: imread with flags=IMREAD_GRAYSCALE; 1: imread with flags=IMREAD_COLOR. }"
"{ vocabularyPath vp | alphabet_36.txt | Path to benchmarks for evaluation. "
"Download links are provided in doc/tutorials/dnn/dnn_text_spotting/dnn_text_spotting.markdown}";
void fourPointsTransform(
const Mat& frame,
const Point2f vertices[],
Mat& result);
int main(
int argc,
char** argv)
{
parser.about("Use this script to run TensorFlow implementation (https://github.com/argman/EAST) of "
"EAST: An Efficient and Accurate Scene Text Detector (https://arxiv.org/abs/1704.03155v2)");
if (argc == 1 || parser.has("help"))
{
parser.printMessage();
return 0;
}
float confThreshold = parser.get<float>("thr");
float nmsThreshold = parser.get<float>("nms");
int width = parser.get<int>("width");
int height = parser.get<int>("height");
int imreadRGB = parser.get<int>("RGBInput");
if (!parser.check())
{
parser.printErrors();
return 1;
}
CV_Assert(!detModelPath.empty() && !recModelPath.empty());
detector.setConfidenceThreshold(confThreshold)
.setNMSThreshold(nmsThreshold);
std::ifstream vocFile;
vocFile.open(samples::findFile(vocPath));
std::vector<String> vocabulary;
while (std::getline(vocFile, vocLine)) {
vocabulary.push_back(vocLine);
}
recognizer.setVocabulary(vocabulary);
recognizer.setDecodeType("CTC-greedy");
double recScale = 1.0 / 127.5;
recognizer.setInputParams(recScale, recInputSize, recMean);
double detScale = 1.0;
Size detInputSize =
Size(width, height);
bool swapRB = true;
detector.setInputParams(detScale, detInputSize, detMean, swapRB);
bool openSuccess = parser.has(
"input") ? cap.
open(parser.get<
String>(
"input")) : cap.
open(0);
static const std::string kWinName = "EAST: An Efficient and Accurate Scene Text Detector";
{
cap >> frame;
if (frame.empty())
{
break;
}
std::cout << frame.size << std::endl;
std::vector< std::vector<Point> > detResults;
detector.detect(frame, detResults);
if (detResults.size() > 0) {
if (!imreadRGB) {
} else {
recInput = frame;
}
std::vector< std::vector<Point> > contours;
for (
uint i = 0; i < detResults.size(); i++)
{
const auto& quadrangle = detResults[i];
contours.emplace_back(quadrangle);
std::vector<Point2f> quadrangle_2f;
for (int j = 0; j < 4; j++)
quadrangle_2f.emplace_back(quadrangle[j]);
fourPointsTransform(recInput, &quadrangle_2f[0], cropped);
std::string recognitionResult = recognizer.recognize(cropped);
std::cout << i << ": '" << recognitionResult << "'" << std::endl;
putText(frame2, recognitionResult, quadrangle[3], FONT_HERSHEY_SIMPLEX, 1.5,
Scalar(0, 0, 255), 2);
}
}
}
return 0;
}
void fourPointsTransform(
const Mat& frame,
const Point2f vertices[],
Mat& result)
{
};
}
#define CV_CheckEQ(v1, v2, msg)
Supported values of these types: int, float, double.
Definition check.hpp:118
Designed for command line parsing.
Definition utility.hpp:820
n-dimensional dense array class
Definition mat.hpp:812
CV_NODISCARD_STD Mat clone() const
Creates a full copy of the array and the underlying data.
Template class for specifying the size of an image or rectangle.
Definition types.hpp:335
_Tp height
the height
Definition types.hpp:363
_Tp width
the width
Definition types.hpp:362
Class for video capturing from video files, image sequences or cameras.
Definition videoio.hpp:731
virtual bool open(const String &filename, int apiPreference=CAP_ANY)
Opens a video file or a capturing device or an IP video stream for video capturing.
This class represents high-level API for text detection DL networks compatible with EAST model.
Definition dnn.hpp:1840
This class represents high-level API for text recognition networks.
Definition dnn.hpp:1684
std::string String
Definition cvstd.hpp:151
uint32_t uint
Definition interface.h:42
#define CV_Assert(expr)
Checks a condition at runtime and throws exception if it fails.
Definition base.hpp:342
void imshow(const String &winname, InputArray mat)
Displays an image in the specified window.
int waitKey(int delay=0)
Waits for a pressed key.
void cvtColor(InputArray src, OutputArray dst, int code, int dstCn=0)
Converts an image from one color space to another.
@ COLOR_BGR2GRAY
convert between RGB/BGR and grayscale, color conversions
Definition imgproc.hpp:555
void putText(InputOutputArray img, const String &text, Point org, int fontFace, double fontScale, Scalar color, int thickness=1, int lineType=LINE_8, bool bottomLeftOrigin=false)
Draws a text string.
void polylines(InputOutputArray img, InputArrayOfArrays pts, bool isClosed, const Scalar &color, int thickness=1, int lineType=LINE_8, int shift=0)
Draws several polygonal curves.
int main(int argc, char *argv[])
Definition highgui_qt.cpp:3
Definition all_layers.hpp:47
"black box" representation of the file storage associated with a file on disk.
Definition core.hpp:102