OpenCV for Unity 2.6.3
Enox Software / Please refer to OpenCV official document ( http://docs.opencv.org/4.10.0/index.html ) for the details of the argument of the method.
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OpenCVForUnity.Wechat_qrcodeModule.WeChatQRCode Class Reference

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. More...

Inheritance diagram for OpenCVForUnity.Wechat_qrcodeModule.WeChatQRCode:
OpenCVForUnity.DisposableOpenCVObject OpenCVForUnity.DisposableObject

Public Member Functions

IntPtr getNativeObjAddr ()
 
 WeChatQRCode (string detector_prototxt_path, string detector_caffe_model_path, string super_resolution_prototxt_path, string super_resolution_caffe_model_path)
 Initialize the WeChatQRCode. It includes two models, which are packaged with caffe format. Therefore, there are prototxt and caffe models (In total, four paramenters).
 
 WeChatQRCode (string detector_prototxt_path, string detector_caffe_model_path, string super_resolution_prototxt_path)
 Initialize the WeChatQRCode. It includes two models, which are packaged with caffe format. Therefore, there are prototxt and caffe models (In total, four paramenters).
 
 WeChatQRCode (string detector_prototxt_path, string detector_caffe_model_path)
 Initialize the WeChatQRCode. It includes two models, which are packaged with caffe format. Therefore, there are prototxt and caffe models (In total, four paramenters).
 
 WeChatQRCode (string detector_prototxt_path)
 Initialize the WeChatQRCode. It includes two models, which are packaged with caffe format. Therefore, there are prototxt and caffe models (In total, four paramenters).
 
 WeChatQRCode ()
 Initialize the WeChatQRCode. It includes two models, which are packaged with caffe format. Therefore, there are prototxt and caffe models (In total, four paramenters).
 
List< string > detectAndDecode (Mat img, List< Mat > points)
 Both detects and decodes QR code. To simplify the usage, there is a only API: detectAndDecode.
 
List< string > detectAndDecode (Mat img)
 Both detects and decodes QR code. To simplify the usage, there is a only API: detectAndDecode.
 
void setScaleFactor (float _scalingFactor)
 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
 
float getScaleFactor ()
 
- Public Member Functions inherited from OpenCVForUnity.DisposableObject
void Dispose ()
 
void ThrowIfDisposed ()
 

Static Public Member Functions

static WeChatQRCode __fromPtr__ (IntPtr addr)
 
- Static Public Member Functions inherited from OpenCVForUnity.DisposableObject
static IntPtr ThrowIfNullIntPtr (IntPtr ptr)
 

Protected Member Functions

override void Dispose (bool disposing)
 
- Protected Member Functions inherited from OpenCVForUnity.DisposableOpenCVObject
 DisposableOpenCVObject ()
 
 DisposableOpenCVObject (IntPtr ptr)
 
 DisposableOpenCVObject (bool isEnabledDispose)
 
 DisposableOpenCVObject (IntPtr ptr, bool isEnabledDispose)
 
- Protected Member Functions inherited from OpenCVForUnity.DisposableObject
 DisposableObject ()
 
 DisposableObject (bool isEnabledDispose)
 

Additional Inherited Members

- Package Attributes inherited from OpenCVForUnity.DisposableOpenCVObject
- Properties inherited from OpenCVForUnity.DisposableObject
bool IsDisposed [get, protected set]
 
bool IsEnabledDispose [get, set]
 

Detailed Description

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.

Constructor & Destructor Documentation

◆ WeChatQRCode() [1/5]

OpenCVForUnity.Wechat_qrcodeModule.WeChatQRCode.WeChatQRCode ( string detector_prototxt_path,
string detector_caffe_model_path,
string super_resolution_prototxt_path,
string super_resolution_caffe_model_path )

Initialize the WeChatQRCode. It includes two models, which are packaged with caffe format. Therefore, there are prototxt and caffe models (In total, four paramenters).

Parameters
detector_prototxt_pathprototxt file path for the detector
detector_caffe_model_pathcaffe model file path for the detector
super_resolution_prototxt_pathprototxt file path for the super resolution model
super_resolution_caffe_model_pathcaffe file path for the super resolution model

◆ WeChatQRCode() [2/5]

OpenCVForUnity.Wechat_qrcodeModule.WeChatQRCode.WeChatQRCode ( string detector_prototxt_path,
string detector_caffe_model_path,
string super_resolution_prototxt_path )

Initialize the WeChatQRCode. It includes two models, which are packaged with caffe format. Therefore, there are prototxt and caffe models (In total, four paramenters).

Parameters
detector_prototxt_pathprototxt file path for the detector
detector_caffe_model_pathcaffe model file path for the detector
super_resolution_prototxt_pathprototxt file path for the super resolution model
super_resolution_caffe_model_pathcaffe file path for the super resolution model

◆ WeChatQRCode() [3/5]

OpenCVForUnity.Wechat_qrcodeModule.WeChatQRCode.WeChatQRCode ( string detector_prototxt_path,
string detector_caffe_model_path )

Initialize the WeChatQRCode. It includes two models, which are packaged with caffe format. Therefore, there are prototxt and caffe models (In total, four paramenters).

Parameters
detector_prototxt_pathprototxt file path for the detector
detector_caffe_model_pathcaffe model file path for the detector
super_resolution_prototxt_pathprototxt file path for the super resolution model
super_resolution_caffe_model_pathcaffe file path for the super resolution model

◆ WeChatQRCode() [4/5]

OpenCVForUnity.Wechat_qrcodeModule.WeChatQRCode.WeChatQRCode ( string detector_prototxt_path)

Initialize the WeChatQRCode. It includes two models, which are packaged with caffe format. Therefore, there are prototxt and caffe models (In total, four paramenters).

Parameters
detector_prototxt_pathprototxt file path for the detector
detector_caffe_model_pathcaffe model file path for the detector
super_resolution_prototxt_pathprototxt file path for the super resolution model
super_resolution_caffe_model_pathcaffe file path for the super resolution model

◆ WeChatQRCode() [5/5]

OpenCVForUnity.Wechat_qrcodeModule.WeChatQRCode.WeChatQRCode ( )

Initialize the WeChatQRCode. It includes two models, which are packaged with caffe format. Therefore, there are prototxt and caffe models (In total, four paramenters).

Parameters
detector_prototxt_pathprototxt file path for the detector
detector_caffe_model_pathcaffe model file path for the detector
super_resolution_prototxt_pathprototxt file path for the super resolution model
super_resolution_caffe_model_pathcaffe file path for the super resolution model

Member Function Documentation

◆ __fromPtr__()

static WeChatQRCode OpenCVForUnity.Wechat_qrcodeModule.WeChatQRCode.__fromPtr__ ( IntPtr addr)
static

◆ detectAndDecode() [1/2]

List< string > OpenCVForUnity.Wechat_qrcodeModule.WeChatQRCode.detectAndDecode ( Mat img)

Both detects and decodes QR code. To simplify the usage, there is a only API: detectAndDecode.

Parameters
imgsupports grayscale or color (BGR) image.
pointsoptional output array of vertices of the found QR code quadrangle. Will be empty if not found.
Returns
list of decoded string.

◆ detectAndDecode() [2/2]

List< string > OpenCVForUnity.Wechat_qrcodeModule.WeChatQRCode.detectAndDecode ( Mat img,
List< Mat > points )

Both detects and decodes QR code. To simplify the usage, there is a only API: detectAndDecode.

Parameters
imgsupports grayscale or color (BGR) image.
pointsoptional output array of vertices of the found QR code quadrangle. Will be empty if not found.
Returns
list of decoded string.

◆ Dispose()

override void OpenCVForUnity.Wechat_qrcodeModule.WeChatQRCode.Dispose ( bool disposing)
protectedvirtual

◆ getNativeObjAddr()

IntPtr OpenCVForUnity.Wechat_qrcodeModule.WeChatQRCode.getNativeObjAddr ( )

◆ getScaleFactor()

float OpenCVForUnity.Wechat_qrcodeModule.WeChatQRCode.getScaleFactor ( )

◆ setScaleFactor()

void OpenCVForUnity.Wechat_qrcodeModule.WeChatQRCode.setScaleFactor ( float _scalingFactor)

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.


The documentation for this class was generated from the following file: