Summary

Types

t()

Type that represents an Text.TextDetectorCNN struct.

create

detect

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

Type that represents an Text.TextDetectorCNN struct.

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

create

Has overloading in C++

Python prototype (for reference only):

create(modelArchFilename, modelWeightsFilename) -> retval

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

detect

self: Evision.Text.TextDetectorCNN.t()
inputImage: Evision.Mat.t().
an image expected to be a CV_U8C3 of any size

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