Charset that contains digits (0~9) and letters (return lowercase letters a~z).

Content copied from charset_36_EN.txt.

Charset that contains digits (0~9), upper/lower-case letters (a~z and A~Z), and some special characters.

Content copied from charset_94_CH.txt.

Charset that contains digits (0~9), upper/lower-case letters (a~z and A~Z), some Chinese characters and some special characters.

Content copied from charset_94_CH.txt.

@spec default_config() :: map()

Default configuration.

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

Docs in smart cell.

@spec get_charset(:ch | :cn | :en) :: [binary()]

Get charset

@spec infer(
  Evision.DNN.Net.t(),
  Evision.Mat.maybe_mat_in(),
  Evision.Mat.maybe_mat_in(),
  Keyword.t()
) ::
  String.t()

Inference.

Positional arguments

• self: Evision.DNN.Net.t().

  An initialized CRNN model.

• image: Evision.Mat.maybe_mat_in().

  Input image.

• rotation_box: Evision.Mat.maybe_mat_in().

  Rotation box.

Keyword arguments

• charset: [binary] | :en | :ch | :cn

  Required. The corresponding charset for the model.

• to_gray: boolean.

  Required. The input image need to be converted to grayscale if the model is :en*.

  Please set to true if the model is :en*.

@spec init(
  binary()
  | :en
  | :en_fp16
  | :en_int8
  | :ch
  | :ch_fp16
  | :ch_int8
  | :cn
  | :cn_int8,
  nil | Keyword.t()
) :: {:error, String.t()} | Evision.DNN.Net.t()

Initialize model.

Positional arguments

• model: String.t() | :en | :en_fp16 | :en_int8 | :ch | :ch_fp16 | :ch_int8 | :cn | :cn_int8.

  • 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 the allowed atoms, 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 input_size() :: {100, 32}

Get default input size

@spec model_info(
  :ch
  | :ch_fp16
  | :ch_int8
  | :cn
  | :cn_int8
  | :en
  | :en_fp16
  | :en_int8
) ::
  {String.t(), String.t()}

Model URL and filename of predefined model.

@spec postprocess(Evision.Mat.t(), :ch | :cn | :en | [String.t()]) :: String.t()

Postprocessing the results.

infer/4 will call this function automatically.

Positional arguments

• image: Evision.Mat.maybe_mat_in().

  Input image.

@spec preprocess(Evision.Mat.maybe_mat_in(), Evision.Mat.maybe_mat_in(), boolean()) ::
  Evision.Mat.t()

Preprocessing the input image.

infer/4 will call this function automatically.

Positional arguments

• image: Evision.Mat.maybe_mat_in().

  Input image.

@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 target_vertices() :: Nx.Tensor.t()

Get default target vertices

@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.

• results: Evision.Mat.maybe_mat_in().

  Results given by infer/2.

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).