Class WeChatQRCode

Namespace

OpenCvSharp

Assembly

OpenCvSharp.dll

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.

public class WeChatQRCode : CvObject, IDisposable

Inheritance

object

DisposableObject

CvObject

WeChatQRCode

Implements

IDisposable

Inherited Members

CvObject.ptr

CvObject.SetSafeHandle(OpenCvSafeHandle)

CvObject.DisposeManaged()

CvObject.DisposeUnmanaged()

CvObject.CvPtr

DisposableObject.DataHandle

DisposableObject.IsDisposed

DisposableObject.IsEnabledDispose

DisposableObject.AllocatedMemory

DisposableObject.AllocatedMemorySize

DisposableObject.Dispose()

DisposableObject.Dispose(bool)

DisposableObject.AllocGCHandle(object)

DisposableObject.AllocMemory(int)

DisposableObject.NotifyMemoryPressure(long)

DisposableObject.ThrowIfDisposed()

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Constructors

WeChatQRCode(string, string, string, string)

Initialize the WeChatQRCode. It includes two models, which are packaged with caffe format. Therefore, there are prototxt and caffe models (In total, four paramenters). Pass empty strings to create a detector without neural network models.

public WeChatQRCode(string detectorPrototxtPath = "", string detectorCaffeModelPath = "", string superResolutionPrototxtPath = "", string superResolutionCaffeModelPath = "")

Parameters

detectorPrototxtPath string

prototxt file path for the detector

detectorCaffeModelPath string

caffe model file path for the detector

superResolutionPrototxtPath string

prototxt file path for the super resolution model

superResolutionCaffeModelPath string

caffe file path for the super resolution model

Methods

DetectAndDecode(InputArray, out Point2f[][])

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

public string[] DetectAndDecode(InputArray inputImage, out Point2f[][] points)

Parameters

inputImage InputArray

supports grayscale or color(BGR) image.

points Point2f[][]

output array of vertices of the found QR code quadrangles. Each element is an array of 4 Point2f representing the corners of one detected QR code. Will be empty if not found.

Returns

string[]

list of decoded string.

DetectAndDecodeRaw(InputArray, out Mat[])

Both detects and decodes QR code. Returns each QR code's corner points as a raw Mat (4x2, CV_32FC1), which can be passed directly to other OpenCV functions.

public string[] DetectAndDecodeRaw(InputArray inputImage, out Mat[] bbox)

Parameters

inputImage InputArray

supports grayscale or color(BGR) image.

bbox Mat[]

output array of vertices of the found QR code quadrangles as raw Mat (4x2, CV_32FC1). Will be empty if not found.

Returns

string[]

list of decoded string.