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ANSCORE/modules/ANSOCR/ANSPaddleOCR/include/ocr_rec.h

46 lines
1.3 KiB
C++

#include "opencv2/core.hpp"
#include "opencv2/imgcodecs.hpp"
#include "opencv2/imgproc.hpp"
#include <chrono>
#include <iomanip>
#include <iostream>
#include <ostream>
#include <vector>
#include <cstring>
#include <fstream>
#include <numeric>
#include <include/paddleocr_utility.h>
#include <include/preprocess_op.h>
#include <include/postprocess_op.h>
#include <openvino/openvino.hpp>
namespace PaddleOCR {
class Recognizer
{
public:
explicit Recognizer(std::string model_path, const std::string& label_path);
void Run(const std::vector<cv::Mat>& img_list, std::vector<OCRPredictResult>& ocr_results);
void SetParameters(int rec_batch_num);
void GetParameters(int& rec_batch_num);
private:
ov::InferRequest infer_request;
std::string model_path;
std::shared_ptr<ov::Model> model;
ov::CompiledModel compiled_model;
std::recursive_mutex _mutex;
std::vector<float> mean_ = { 0.5f, 0.5f, 0.5f };
std::vector<float> scale_ = { 1 / 0.5f, 1 / 0.5f, 1 / 0.5f };
bool is_scale_ = true;
std::vector<std::string> label_list_;
int rec_img_h_ = 48;
int rec_img_w_ = 320;
std::vector<int> rec_image_shape_ = { 3, rec_img_h_, rec_img_w_ };
int rec_batch_num_ = 1;
CrnnResizeImg resize_op_;
Normalize normalize_op_;
PermuteBatch permute_op_;
};
}