View Source Evision.CUDA.TemplateMatching (Evision v0.1.28)

Link to this section Summary

Types

t()

Type that represents an CUDA.TemplateMatching struct.

Functions

Clears the algorithm state

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

getDefaultName

Variant 1:

Computes a proximity map for a raster template and an image where the template is searched for.

Variant 1:

Computes a proximity map for a raster template and an image where the template is searched for.

Reads algorithm parameters from a file storage

Stores algorithm parameters in a file storage

Link to this section Types

@type t() :: %Evision.CUDA.TemplateMatching{ref: reference()}

Type that represents an CUDA.TemplateMatching struct.

  • ref. reference()

    The underlying erlang resource variable.

Link to this section Functions

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

Clears the algorithm state

Positional Arguments
  • self: Evision.CUDA.TemplateMatching.t()

Python prototype (for reference only):

clear() -> None
@spec empty(t()) :: boolean() | {:error, String.t()}

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

Positional Arguments
  • self: Evision.CUDA.TemplateMatching.t()
Return
  • retval: bool

Python prototype (for reference only):

empty() -> retval
@spec getDefaultName(t()) :: binary() | {:error, String.t()}

getDefaultName

Positional Arguments
  • self: Evision.CUDA.TemplateMatching.t()
Return

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

Python prototype (for reference only):

getDefaultName() -> retval
Link to this function

match(self, image, templ)

View Source

Variant 1:

Computes a proximity map for a raster template and an image where the template is searched for.

Positional Arguments
  • self: Evision.CUDA.TemplateMatching.t()

  • image: Evision.Mat.t().

    Source image.

  • templ: Evision.Mat.t().

    Template image with the size and type the same as image .

Keyword Arguments
  • stream: Evision.CUDA.Stream.t().

    Stream for the asynchronous version.

Return
  • result: Evision.Mat.t().

    Map containing comparison results ( CV_32FC1 ). If image is W x H and templ is w x h, then result must be W-w+1 x H-h+1.

Python prototype (for reference only):

match(image, templ[, result[, stream]]) -> result

Variant 2:

Computes a proximity map for a raster template and an image where the template is searched for.

Positional Arguments
  • self: Evision.CUDA.TemplateMatching.t()

  • image: Evision.CUDA.GpuMat.t().

    Source image.

  • templ: Evision.CUDA.GpuMat.t().

    Template image with the size and type the same as image .

Keyword Arguments
  • stream: Evision.CUDA.Stream.t().

    Stream for the asynchronous version.

Return
  • result: Evision.CUDA.GpuMat.t().

    Map containing comparison results ( CV_32FC1 ). If image is W x H and templ is w x h, then result must be W-w+1 x H-h+1.

Python prototype (for reference only):

match(image, templ[, result[, stream]]) -> result
Link to this function

match(self, image, templ, opts)

View Source
@spec match(
  t(),
  Evision.Mat.maybe_mat_in(),
  Evision.Mat.maybe_mat_in(),
  [{atom(), term()}, ...] | nil
) ::
  Evision.Mat.t() | {:error, String.t()}
@spec match(
  t(),
  Evision.CUDA.GpuMat.t(),
  Evision.CUDA.GpuMat.t(),
  [{atom(), term()}, ...] | nil
) ::
  Evision.CUDA.GpuMat.t() | {:error, String.t()}

Variant 1:

Computes a proximity map for a raster template and an image where the template is searched for.

Positional Arguments
  • self: Evision.CUDA.TemplateMatching.t()

  • image: Evision.Mat.t().

    Source image.

  • templ: Evision.Mat.t().

    Template image with the size and type the same as image .

Keyword Arguments
  • stream: Evision.CUDA.Stream.t().

    Stream for the asynchronous version.

Return
  • result: Evision.Mat.t().

    Map containing comparison results ( CV_32FC1 ). If image is W x H and templ is w x h, then result must be W-w+1 x H-h+1.

Python prototype (for reference only):

match(image, templ[, result[, stream]]) -> result

Variant 2:

Computes a proximity map for a raster template and an image where the template is searched for.

Positional Arguments
  • self: Evision.CUDA.TemplateMatching.t()

  • image: Evision.CUDA.GpuMat.t().

    Source image.

  • templ: Evision.CUDA.GpuMat.t().

    Template image with the size and type the same as image .

Keyword Arguments
  • stream: Evision.CUDA.Stream.t().

    Stream for the asynchronous version.

Return
  • result: Evision.CUDA.GpuMat.t().

    Map containing comparison results ( CV_32FC1 ). If image is W x H and templ is w x h, then result must be W-w+1 x H-h+1.

Python prototype (for reference only):

match(image, templ[, result[, stream]]) -> result
@spec read(t(), Evision.FileNode.t()) :: t() | {:error, String.t()}

Reads algorithm parameters from a file storage

Positional Arguments
  • self: Evision.CUDA.TemplateMatching.t()
  • fn_: Evision.FileNode.t()

Python prototype (for reference only):

read(fn_) -> None
@spec save(t(), binary()) :: t() | {:error, String.t()}

save

Positional Arguments
  • self: Evision.CUDA.TemplateMatching.t()
  • filename: String

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

Python prototype (for reference only):

save(filename) -> None
@spec write(t(), Evision.FileStorage.t()) :: t() | {:error, String.t()}

Stores algorithm parameters in a file storage

Positional Arguments
  • self: Evision.CUDA.TemplateMatching.t()
  • fs: Evision.FileStorage.t()

Python prototype (for reference only):

write(fs) -> None
@spec write(t(), Evision.FileStorage.t(), binary()) :: t() | {:error, String.t()}

write

Positional Arguments
  • self: Evision.CUDA.TemplateMatching.t()
  • fs: Evision.FileStorage.t()
  • name: String

Has overloading in C++

Python prototype (for reference only):

write(fs, name) -> None