View Source Evision.CUDA.LookUpTable (Evision v0.1.38)

Summary

Types

t()

Type that represents an CUDA.LookUpTable struct.

Functions

Clears the algorithm state

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

getDefaultName

Reads algorithm parameters from a file storage

Variant 1:

Transforms the source matrix into the destination matrix using the given look-up table: dst(I) = lut(src(I)) .

Variant 1:

Transforms the source matrix into the destination matrix using the given look-up table: dst(I) = lut(src(I)) .

Stores algorithm parameters in a file storage

Types

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

Type that represents an CUDA.LookUpTable struct.

  • ref. reference()

    The underlying erlang resource variable.

Functions

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

Clears the algorithm state

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

Python prototype (for reference only):

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

getDefaultName

Positional Arguments
  • self: Evision.CUDA.LookUpTable.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
@spec read(t(), Evision.FileNode.t()) :: t() | {:error, String.t()}

Reads algorithm parameters from a file storage

Positional Arguments
  • self: Evision.CUDA.LookUpTable.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.LookUpTable.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 transform(t(), Evision.Mat.maybe_mat_in()) ::
  Evision.Mat.t() | {:error, String.t()}
@spec transform(t(), Evision.CUDA.GpuMat.t()) ::
  Evision.CUDA.GpuMat.t() | {:error, String.t()}

Variant 1:

Transforms the source matrix into the destination matrix using the given look-up table: dst(I) = lut(src(I)) .

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

  • src: Evision.Mat.t().

    Source matrix. CV_8UC1 and CV_8UC3 matrices are supported for now.

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

    Stream for the asynchronous version.

Return
  • dst: Evision.Mat.t().

    Destination matrix.

Python prototype (for reference only):

transform(src[, dst[, stream]]) -> dst

Variant 2:

Transforms the source matrix into the destination matrix using the given look-up table: dst(I) = lut(src(I)) .

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

  • src: Evision.CUDA.GpuMat.t().

    Source matrix. CV_8UC1 and CV_8UC3 matrices are supported for now.

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

    Stream for the asynchronous version.

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

    Destination matrix.

Python prototype (for reference only):

transform(src[, dst[, stream]]) -> dst
Link to this function

transform(self, src, opts)

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

Variant 1:

Transforms the source matrix into the destination matrix using the given look-up table: dst(I) = lut(src(I)) .

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

  • src: Evision.Mat.t().

    Source matrix. CV_8UC1 and CV_8UC3 matrices are supported for now.

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

    Stream for the asynchronous version.

Return
  • dst: Evision.Mat.t().

    Destination matrix.

Python prototype (for reference only):

transform(src[, dst[, stream]]) -> dst

Variant 2:

Transforms the source matrix into the destination matrix using the given look-up table: dst(I) = lut(src(I)) .

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

  • src: Evision.CUDA.GpuMat.t().

    Source matrix. CV_8UC1 and CV_8UC3 matrices are supported for now.

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

    Stream for the asynchronous version.

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

    Destination matrix.

Python prototype (for reference only):

transform(src[, dst[, stream]]) -> dst
@spec write(t(), Evision.FileStorage.t()) :: t() | {:error, String.t()}

Stores algorithm parameters in a file storage

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

Has overloading in C++

Python prototype (for reference only):

write(fs, name) -> None