@spec detectAndDecode(t(), Evision.Mat.maybe_mat_in()) ::
  {[binary()], [Evision.Mat.t()]} | {:error, String.t()}

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

Positional Arguments

• self: Evision.WeChatQRCode.WeChatQRCode.t()

• img: Evision.Mat.

  supports grayscale or color (BGR) image.

Return

• retval: [string]

• points: [Evision.Mat].

  optional output array of vertices of the found QR code quadrangle. Will be empty if not found.

@return list of decoded string.

Python prototype (for reference only):

detectAndDecode(img[, points]) -> retval, points

@spec detectAndDecode(t(), Evision.Mat.maybe_mat_in(), [{atom(), term()}, ...] | nil) ::
  {[binary()], [Evision.Mat.t()]} | {:error, String.t()}

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

Positional Arguments

• self: Evision.WeChatQRCode.WeChatQRCode.t()

• img: Evision.Mat.

  supports grayscale or color (BGR) image.

Return

• retval: [string]

• points: [Evision.Mat].

  optional output array of vertices of the found QR code quadrangle. Will be empty if not found.

@return list of decoded string.

Python prototype (for reference only):

detectAndDecode(img[, points]) -> retval, points

@spec getScaleFactor(Keyword.t()) :: any() | {:error, String.t()}

@spec getScaleFactor(t()) :: number() | {:error, String.t()}

getScaleFactor

Positional Arguments

• self: Evision.WeChatQRCode.WeChatQRCode.t()

Return

• retval: float

Python prototype (for reference only):

getScaleFactor() -> retval

@spec setScaleFactor(t(), number()) :: t() | {:error, String.t()}

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 = scaleFactorwidth height = scaleFactorwidth

Positional Arguments

• self: Evision.WeChatQRCode.WeChatQRCode.t()
• scalingFactor: float

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.

Python prototype (for reference only):

setScaleFactor(_scalingFactor) -> None

@spec weChatQRCode() :: t() | {:error, String.t()}

Initialize the WeChatQRCode. It includes two CNN-based models in ONNX format: a detector model and a super resolution model.

Keyword Arguments

• detector_model_path: string.

  onnx model file path for the detector

• super_resolution_model_path: string.

  onnx model file path for the super resolution model

Return

• self: Evision.WeChatQRCode.WeChatQRCode.t()

Python prototype (for reference only):

WeChatQRCode([, detector_model_path[, super_resolution_model_path]]) -> <wechat_qrcode_WeChatQRCode object>

@spec weChatQRCode(Keyword.t()) :: any() | {:error, String.t()}

@spec weChatQRCode(
  [detector_model_path: term(), super_resolution_model_path: term()]
  | nil
) ::
  t() | {:error, String.t()}

Initialize the WeChatQRCode. It includes two CNN-based models in ONNX format: a detector model and a super resolution model.

Keyword Arguments

• detector_model_path: string.

  onnx model file path for the detector

• super_resolution_model_path: string.

  onnx model file path for the super resolution model

Return

• self: Evision.WeChatQRCode.WeChatQRCode.t()

Python prototype (for reference only):

WeChatQRCode([, detector_model_path[, super_resolution_model_path]]) -> <wechat_qrcode_WeChatQRCode object>