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third_party/paddle_ocr/include/ocr_rec.h

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+// Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+#pragma once
+
+#include <opencv2/core.hpp>
+#include <opencv2/imgcodecs.hpp>
+#include <opencv2/imgproc.hpp>
+#include <paddle_api.h>
+#include <paddle_inference_api.h>
+#include <chrono>
+#include <iomanip>
+#include <iostream>
+#include <ostream>
+#include <vector>
+
+#include <cstring>
+#include <fstream>
+#include <numeric>
+
+#include "ocr_cls.h"
+#include "preprocess_op.h"
+#include "utility.h"
+
+using namespace paddle_infer;
+
+namespace PaddleOCR {
+
+class CRNNRecognizer {
+public:
+  explicit CRNNRecognizer(const std::string &model_dir, const string &label_path) {
+    this->label_list_ = Utility::ReadDict(label_path);
+    this->label_list_.insert(this->label_list_.begin(),
+                             "#"); // blank char for ctc
+    this->label_list_.push_back(" ");
+
+    LoadModel(model_dir);
+  }
+
+  // Load Paddle inference model
+  void LoadModel(const std::string &model_dir);
+
+  void Run(std::vector<cv::Mat> img_list, std::vector<std::string> &rec_texts,
+           std::vector<float> &rec_text_scores, std::vector<double> &times);
+
+private:
+  std::shared_ptr<Predictor> predictor_;
+
+  bool use_gpu_ = true;
+  int gpu_id_ = 0;
+  int gpu_mem_ = 4000;
+  int cpu_math_library_num_threads_ = 4;
+  bool use_mkldnn_ = false;
+
+  std::vector<std::string> label_list_;
+
+  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;
+  bool use_tensorrt_ = false;
+  std::string precision_ = "fp32";
+  int rec_batch_num_ = 6;
+  int rec_img_h_ = 32;
+  int rec_img_w_ = 320;
+  std::vector<int> rec_image_shape_ = {3, rec_img_h_, rec_img_w_};
+  // pre-process
+  CrnnResizeImg resize_op_;
+  Normalize normalize_op_;
+  PermuteBatch permute_op_;
+
+}; // class CrnnRecognizer
+
+} // namespace PaddleOCR