classifier.h

// Copyright (c) 2022 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 "fastdeploy/fastdeploy_model.h"
#include "fastdeploy/vision/common/processors/transform.h"
#include "fastdeploy/vision/common/result.h"
#include "fastdeploy/vision/ocr/ppocr/utils/ocr_postprocess_op.h"
#include "fastdeploy/vision/ocr/ppocr/cls_postprocessor.h"
#include "fastdeploy/vision/ocr/ppocr/cls_preprocessor.h"
#include "fastdeploy/utils/unique_ptr.h"

namespace fastdeploy {
namespace vision {
namespace ocr {
class FASTDEPLOY_DECL Classifier : public FastDeployModel {
 public:
  Classifier();
  Classifier(const std::string& model_file, const std::string& params_file = "",
             const RuntimeOption& custom_option = RuntimeOption(),
             const ModelFormat& model_format = ModelFormat::PADDLE);

  virtual std::unique_ptr<Classifier> Clone() const;

  std::string ModelName() const { return "ppocr/ocr_cls"; }

  virtual bool Predict(const cv::Mat& img,
                      int32_t* cls_label, float* cls_score);

  virtual bool Predict(const cv::Mat& img, vision::OCRResult* ocr_result);

  virtual bool BatchPredict(const std::vector<cv::Mat>& images,
                              vision::OCRResult* ocr_result);

  virtual bool BatchPredict(const std::vector<cv::Mat>& images,
                            std::vector<int32_t>* cls_labels,
                            std::vector<float>* cls_scores);
  virtual bool BatchPredict(const std::vector<cv::Mat>& images,
                            std::vector<int32_t>* cls_labels,
                            std::vector<float>* cls_scores,
                            size_t start_index, size_t end_index);

  virtual ClassifierPreprocessor& GetPreprocessor() {
    return preprocessor_;
  }

  virtual ClassifierPostprocessor& GetPostprocessor() {
    return postprocessor_;
  }

 private:
  bool Initialize();
  ClassifierPreprocessor preprocessor_;
  ClassifierPostprocessor postprocessor_;
};

}  // namespace ocr
}  // namespace vision
}  // namespace fastdeploy