View Source Evision.Text.TextDetectorCNN (Evision v0.2.14)

Summary

Types

t()

Type that represents an Text.TextDetectorCNN struct.

Functions

create(named_args)
create(modelArchFilename, modelWeightsFilename)

create

detect(named_args)
detect(self, inputImage)

detect

Types

Link to this type

t()

View Source 
@type t() :: %Evision.Text.TextDetectorCNN{ref: reference()}

Type that represents an Text.TextDetectorCNN struct.

  • ref. reference()

    The underlying erlang resource variable.

Functions

Link to this function

create(named_args)

View Source 
@spec create(Keyword.t()) :: any() | {:error, String.t()}
Link to this function

create(modelArchFilename, modelWeightsFilename)

View Source 
@spec create(binary(), binary()) :: t() | {:error, String.t()}

create

Positional Arguments
Return
  • retval: Evision.Text.TextDetectorCNN.t()

Has overloading in C++

Python prototype (for reference only):

create(modelArchFilename, modelWeightsFilename) -> retval
Link to this function

detect(named_args)

View Source 
@spec detect(Keyword.t()) :: any() | {:error, String.t()}
Link to this function

detect(self, inputImage)

View Source 
@spec detect(t(), Evision.Mat.maybe_mat_in()) ::
  {[{number(), number(), number(), number()}], [number()]}
  | {:error, String.t()}

detect

Positional Arguments

  • self: Evision.Text.TextDetectorCNN.t()

  • inputImage: Evision.Mat.

    an image expected to be a CV_U8C3 of any size

Return

  • bbox: [Rect].

    a vector of Rect that will store the detected word bounding box

  • confidence: [float].

    a vector of float that will be updated with the confidence the classifier has for the selected bounding box

Has overloading in C++

Python prototype (for reference only):

detect(inputImage) -> Bbox, confidence