//
//  Helper.hpp
//  MNN
//
//  Created by MNN on 2019/08/01.
//  Copyright © 2018, Alibaba Group Holding Limited
//

#include <set>
#include <string>
#include <MNN/ImageProcess.hpp>
#include <MNN/Tensor.hpp>
#include <MNN/expr/Expr.hpp>
#include "MNN_generated.h"
#include "logkit.h"

#pragma once
class Helper {
public:
    struct PreprocessConfig {
        int targetHeight;
        int targetWidth;
        float centerCropHeight = 1.0;
        float centerCropWidth = 1.0;
    };

    enum InputType {
        IMAGE = 0,
        SEQUENCE = 1,
    };

    static std::set<std::string> gNotNeedFeatureOp;

    static std::set<std::string> featureQuantizeMethod;
    static std::set<std::string> weightQuantizeMethod;

    static bool fileExist(const std::string& file);
    static void readClibrationFiles(std::vector<std::string>& images, const std::string& filePath, int *usedImageNum);
    static void preprocessInput(MNN::CV::ImageProcess* pretreat, PreprocessConfig PreprocessConfig,
                                const std::string& filename, MNN::Tensor* input, InputType inputType, MNN::Express::VARP var);
    static void invertData(float* dst, const float* src, int size);
    static bool stringEndWith(std::string const &fullString, std::string const &ending);
};