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// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
//
// Tencent is pleased to support the open source community by making WeChat QRCode available.
// Copyright (C) 2020 THL A29 Limited, a Tencent company. All rights reserved.
#ifndef __OPENCV_WECHAT_QRCODE_HPP__
#define __OPENCV_WECHAT_QRCODE_HPP__
#include "opencv2/core.hpp"
/** @defgroup wechat_qrcode WeChat QR code detector for detecting and parsing QR code.
*/
namespace cv {
namespace wechat_qrcode {
//! @addtogroup wechat_qrcode
//! @{
/**
* @brief WeChat QRCode includes two CNN-based models:
* A object detection model and a super resolution model.
* Object detection model is applied to detect QRCode with the bounding box.
* super resolution model is applied to zoom in QRCode when it is small.
*
*/
class CV_EXPORTS_W WeChatQRCode {
public:
/**
* @brief Initialize the WeChatQRCode.
* It includes two models, which are packaged with caffe format.
* Therefore, there are prototxt and caffe models (In total, four paramenters).
*
* @param detector_prototxt_path prototxt file path for the detector
* @param detector_caffe_model_path caffe model file path for the detector
* @param super_resolution_prototxt_path prototxt file path for the super resolution model
* @param super_resolution_caffe_model_path caffe file path for the super resolution model
*/
CV_WRAP WeChatQRCode(const std::string& detector_prototxt_path = "",
const std::string& detector_caffe_model_path = "",
const std::string& super_resolution_prototxt_path = "",
const std::string& super_resolution_caffe_model_path = "");
~WeChatQRCode(){};
/**
* @brief Both detects and decodes QR code.
* To simplify the usage, there is a only API: detectAndDecode
*
* @param img supports grayscale or color (BGR) image.
* @param points optional output array of vertices of the found QR code quadrangle. Will be
* empty if not found.
* @return list of decoded string.
*/
CV_WRAP std::vector<std::string> detectAndDecode(InputArray img, OutputArrayOfArrays points = noArray());
/**
* @brief set scale factor
* QR code detector use neural network to detect QR.
* Before running the neural network, the input image is pre-processed by scaling.
* By default, the input image is scaled to an image with an area of 160000 pixels.
* The scale factor allows to use custom scale the input image:
* width = scaleFactor*width
* height = scaleFactor*width
*
* scaleFactor valuse must be > 0 and <= 1, otherwise the scaleFactor value is set to -1
* and use default scaled to an image with an area of 160000 pixels.
*/
CV_WRAP void setScaleFactor(float _scalingFactor);
CV_WRAP float getScaleFactor();
protected:
class Impl;
Ptr<Impl> p;
};
//! @}
} // namespace wechat_qrcode
} // namespace cv
#endif // __OPENCV_WECHAT_QRCODE_HPP__
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