@spec default_config() :: map()

Default configuration.

@spec docs() :: String.t()

Docs in smart cell.

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

Inference.

Positional arguments

• self: Evision.DNN.TextDetectionModelDB.t().

  An initialized Evision.DNN.TextDetectionModelDB model.

• image: Evision.Mat.maybe_mat_in().

  Input image.

Return

{detections, confidence}

@spec init(
  binary()
  | :ic15_resnet18
  | :ic15_resnet50
  | :td500_resnet18
  | :td500_resnet50,
  nil | Keyword.t()
) :: {:error, String.t()} | Evision.DNN.TextDetectionModelDB.t()

Initialize model.

Positional arguments

• model: String.t() | :ic15_resnet18 | :ic15_resnet50 | :td500_resnet18 | :td500_resnet50

  • When model is a string, it will be treat as the path to a weight file and init/2 will load the model from it.

  • When model is one of :ic15_resnet18, :ic15_resnet50, :td500_resnet18 or :td500_resnet50, init/2 will download and load the predefined model.

Keyword arguments

• cache_dir: String.t().

  Path to the cache directory.

  Optional. Defaults to :filename.basedir(:user_cache, "", ...)

• backend: integer().

  Specify the backend.

  Optional. Defaults to Evision.Constant.cv_DNN_BACKEND_OPENCV().

• target: integer().

  Specify the target.

  Optional. Defaults to Evision.Constant.cv_DNN_TARGET_CPU().

@spec model_info(:default_model | :quant_model) :: {String.t(), String.t()}

Model URL and filename of predefined model.

@spec smartcell_params() :: Evision.Zoo.smartcell_params()

Customizable parameters from smart cell.

@spec smartcell_tasks() :: Evision.Zoo.smartcell_tasks()

Smart cell tasks.

A list of variants of the current model.

@spec to_quoted(map()) :: list()

Generate quoted code from smart cell attrs.

Visualize the result.

Positional arguments

• image: Evision.Mat.maybe_mat_in().

  Original image.

• detections: list({{number(), number()}, {number(), number()}, number()}).

  Rotation retangulars.

• confidences: list(number()).

  Confidence values.

Keyword arguments

• box_color: {blue=integer(), green=integer(), red=integer()}.

  Values should be in [0, 255]. Defaults to {0, 255, 0}.

  Specify the color of the bounding box.

• text_color: {blue=integer(), green=integer(), red=integer()}.

  Values should be in [0, 255]. Defaults to {0, 0, 255}.

  Specify the color of the text (confidence value).