preprocessor.h

// Copyright (c) 2019 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 <vector>
#include <string>
#include <memory>

#include <opencv2/core/core.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <opencv2/highgui/highgui.hpp>

#include "utils/conf_parser.h"

namespace  PaddleSolution {

class ImagePreProcessor {
 protected:
    ImagePreProcessor() {}

 public:
    virtual ~ImagePreProcessor() {}

    virtual bool single_process(const std::string& fname,
                                float* data,
                                int* ori_w,
                                int* ori_h) {
        return true;
    }

    virtual bool batch_process(const std::vector<std::string>& imgs,
                               float* data,
                               int* ori_w,
                               int* ori_h) {
        return true;
    }

    virtual bool single_process(const std::string& fname, float* data) {
        return true;
    }

    virtual bool batch_process(const std::vector<std::string>& imgs,
                               float* data) {
        return true;
    }

    virtual bool single_process(const std::string& fname,
                                std::vector<float> &data,
                                int* ori_w, int* ori_h,
                                int* resize_w, int* resize_h,
                                float* scale_ratio) {
        return true;
    }

    virtual bool batch_process(const std::vector<std::string>& imgs,
                               std::vector<std::vector<float>> &data,
                               int* ori_w, int* ori_h, int* resize_w,
                               int* resize_h, float* scale_ratio) {
        return true;
    }
};  // end of class ImagePreProcessor

std::shared_ptr<ImagePreProcessor>
    create_processor(const std::string &config_file);
}  // namespace PaddleSolution