View Source Evision.CUDA.LookUpTable (Evision v0.2.9)
Summary
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
save
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
write
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(Keyword.t()) :: any() | {:error, String.t()}
@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(Keyword.t()) :: any() | {:error, String.t()}
@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(Keyword.t()) :: any() | {:error, String.t()}
@spec getDefaultName(t()) :: binary() | {:error, String.t()}
getDefaultName
Positional Arguments
- self:
Evision.CUDA.LookUpTable.t()
Return
- retval:
String
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()
- func:
Evision.FileNode
Python prototype (for reference only):
read(fn) -> None
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
.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 transform(t(), Evision.Mat.maybe_mat_in(), [{:stream, term()}] | nil) :: Evision.Mat.t() | {:error, String.t()}
@spec transform(t(), Evision.CUDA.GpuMat.t(), [{:stream, 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
.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
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
- name:
String
Has overloading in C++
Python prototype (for reference only):
write(fs, name) -> None