@spec default_config() :: map()

Default configuration.

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

Docs in smart cell.

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

Inference.

Positional arguments

• self: Evision.DNN.Net.t().

  An initialized PPHumanSeg model.

• image: Evision.Mat.maybe_mat_in().

  Input image.

@spec init(binary() | :default_model | :quant_model, nil | Keyword.t()) ::
  {:error, String.t()} | Evision.DNN.Net.t()

Initialize model.

Positional arguments

• model: String.t() | :default_model | :quant_model.

  • 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 either :default_model or :quant_model, 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 preprocess(Evision.Mat.maybe_mat_in()) :: Evision.Mat.t()

Preprocessing the input image.

infer/2 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 to_quoted(map()) :: list()

Generate quoted code from smart cell attrs.

@spec visualize(Evision.Mat.maybe_mat_in(), Evision.Mat.maybe_mat_in(), Keyword.t()) ::
  [
    Evision.Mat.t()
  ]

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

• weight: number().

  A number in [0.0, 1.0]. Defaults to 0.6.

  Specify the weight of the original image. The weight of the segmentation visualization image will be 1 - weight.

Return

A list that contains two images (Evision.Mat.t()).

• The first one is the original image with the segmentation overlay.
• The second one is the segmentation image.