157 lines
5.3 KiB
Objective-C
157 lines
5.3 KiB
Objective-C
//
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// This file is auto-generated. Please don't modify it!
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//
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#pragma once
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#ifdef __cplusplus
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//#import "opencv.hpp"
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#import "opencv2/wechat_qrcode.hpp"
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#else
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#define CV_EXPORTS
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#endif
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#import <Foundation/Foundation.h>
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@class Mat;
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NS_ASSUME_NONNULL_BEGIN
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// C++: class WeChatQRCode
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/**
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* WeChat QRCode includes two CNN-based models:
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* A object detection model and a super resolution model.
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* Object detection model is applied to detect QRCode with the bounding box.
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* super resolution model is applied to zoom in QRCode when it is small.
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*
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*
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* Member of `Wechat_qrcode`
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*/
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CV_EXPORTS @interface WeChatQRCode : NSObject
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#ifdef __cplusplus
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@property(readonly)cv::Ptr<cv::wechat_qrcode::WeChatQRCode> nativePtr;
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#endif
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#ifdef __cplusplus
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- (instancetype)initWithNativePtr:(cv::Ptr<cv::wechat_qrcode::WeChatQRCode>)nativePtr;
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+ (instancetype)fromNative:(cv::Ptr<cv::wechat_qrcode::WeChatQRCode>)nativePtr;
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#endif
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#pragma mark - Methods
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//
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// cv::wechat_qrcode::WeChatQRCode::WeChatQRCode(string detector_prototxt_path = "", string detector_caffe_model_path = "", string super_resolution_prototxt_path = "", string super_resolution_caffe_model_path = "")
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//
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/**
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* Initialize the WeChatQRCode.
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* It includes two models, which are packaged with caffe format.
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* Therefore, there are prototxt and caffe models (In total, four paramenters).
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*
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* @param detector_prototxt_path prototxt file path for the detector
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* @param detector_caffe_model_path caffe model file path for the detector
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* @param super_resolution_prototxt_path prototxt file path for the super resolution model
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* @param super_resolution_caffe_model_path caffe file path for the super resolution model
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*/
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- (instancetype)initWithDetector_prototxt_path:(NSString*)detector_prototxt_path detector_caffe_model_path:(NSString*)detector_caffe_model_path super_resolution_prototxt_path:(NSString*)super_resolution_prototxt_path super_resolution_caffe_model_path:(NSString*)super_resolution_caffe_model_path;
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/**
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* Initialize the WeChatQRCode.
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* It includes two models, which are packaged with caffe format.
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* Therefore, there are prototxt and caffe models (In total, four paramenters).
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*
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* @param detector_prototxt_path prototxt file path for the detector
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* @param detector_caffe_model_path caffe model file path for the detector
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* @param super_resolution_prototxt_path prototxt file path for the super resolution model
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*/
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- (instancetype)initWithDetector_prototxt_path:(NSString*)detector_prototxt_path detector_caffe_model_path:(NSString*)detector_caffe_model_path super_resolution_prototxt_path:(NSString*)super_resolution_prototxt_path;
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/**
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* Initialize the WeChatQRCode.
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* It includes two models, which are packaged with caffe format.
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* Therefore, there are prototxt and caffe models (In total, four paramenters).
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*
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* @param detector_prototxt_path prototxt file path for the detector
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* @param detector_caffe_model_path caffe model file path for the detector
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*/
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- (instancetype)initWithDetector_prototxt_path:(NSString*)detector_prototxt_path detector_caffe_model_path:(NSString*)detector_caffe_model_path;
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/**
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* Initialize the WeChatQRCode.
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* It includes two models, which are packaged with caffe format.
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* Therefore, there are prototxt and caffe models (In total, four paramenters).
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*
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* @param detector_prototxt_path prototxt file path for the detector
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*/
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- (instancetype)initWithDetector_prototxt_path:(NSString*)detector_prototxt_path;
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/**
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* Initialize the WeChatQRCode.
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* It includes two models, which are packaged with caffe format.
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* Therefore, there are prototxt and caffe models (In total, four paramenters).
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*
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*/
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- (instancetype)init;
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//
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// vector_string cv::wechat_qrcode::WeChatQRCode::detectAndDecode(Mat img, vector_Mat& points = vector_Mat())
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//
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/**
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* Both detects and decodes QR code.
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* To simplify the usage, there is a only API: detectAndDecode
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*
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* @param img supports grayscale or color (BGR) image.
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* @param points optional output array of vertices of the found QR code quadrangle. Will be
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* empty if not found.
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* @return list of decoded string.
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*/
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- (NSArray<NSString*>*)detectAndDecode:(Mat*)img points:(NSMutableArray<Mat*>*)points NS_SWIFT_NAME(detectAndDecode(img:points:));
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/**
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* Both detects and decodes QR code.
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* To simplify the usage, there is a only API: detectAndDecode
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*
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* @param img supports grayscale or color (BGR) image.
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* empty if not found.
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* @return list of decoded string.
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*/
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- (NSArray<NSString*>*)detectAndDecode:(Mat*)img NS_SWIFT_NAME(detectAndDecode(img:));
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//
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// void cv::wechat_qrcode::WeChatQRCode::setScaleFactor(float _scalingFactor)
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//
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/**
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* set scale factor
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* QR code detector use neural network to detect QR.
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* Before running the neural network, the input image is pre-processed by scaling.
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* By default, the input image is scaled to an image with an area of 160000 pixels.
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* The scale factor allows to use custom scale the input image:
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* width = scaleFactor*width
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* height = scaleFactor*width
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*
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* scaleFactor valuse must be > 0 and <= 1, otherwise the scaleFactor value is set to -1
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* and use default scaled to an image with an area of 160000 pixels.
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*/
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- (void)setScaleFactor:(float)_scalingFactor NS_SWIFT_NAME(setScaleFactor(_scalingFactor:));
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//
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// float cv::wechat_qrcode::WeChatQRCode::getScaleFactor()
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//
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- (float)getScaleFactor NS_SWIFT_NAME(getScaleFactor());
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@end
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NS_ASSUME_NONNULL_END
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