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

Clears the algorithm state

Positional Arguments

• self: Evision.CUDA.HoughSegmentDetector.t()

Python prototype (for reference only):

clear() -> None

@spec detect(t(), Evision.Mat.maybe_mat_in()) ::
  Evision.Mat.t() | {:error, String.t()}

@spec detect(t(), Evision.CUDA.GpuMat.t()) ::
  Evision.CUDA.GpuMat.t() | {:error, String.t()}

Variant 1:

Finds line segments in a binary image using the probabilistic Hough transform.

Positional Arguments

• self: Evision.CUDA.HoughSegmentDetector.t()

• src: Evision.Mat.t().

  8-bit, single-channel binary source image.

Keyword Arguments

• stream: Evision.CUDA.Stream.t().

  Stream for the asynchronous version.

Return

• lines: Evision.Mat.t().

  Output vector of lines. Each line is represented by a 4-element vector \f$(x_1, y_1, x_2, y_2)\f$ , where \f$(x_1,y_1)\f$ and \f$(x_2, y_2)\f$ are the ending points of each detected line segment.

@sa HoughLinesP

Python prototype (for reference only):

detect(src[, lines[, stream]]) -> lines

Variant 2:

Finds line segments in a binary image using the probabilistic Hough transform.

Positional Arguments

• self: Evision.CUDA.HoughSegmentDetector.t()

• src: Evision.CUDA.GpuMat.t().

  8-bit, single-channel binary source image.

Keyword Arguments

• stream: Evision.CUDA.Stream.t().

  Stream for the asynchronous version.

Return

• lines: Evision.CUDA.GpuMat.t().

  Output vector of lines. Each line is represented by a 4-element vector \f$(x_1, y_1, x_2, y_2)\f$ , where \f$(x_1,y_1)\f$ and \f$(x_2, y_2)\f$ are the ending points of each detected line segment.

@sa HoughLinesP

Python prototype (for reference only):

detect(src[, lines[, stream]]) -> lines

@spec detect(t(), Evision.Mat.maybe_mat_in(), [{atom(), term()}, ...] | nil) ::
  Evision.Mat.t() | {:error, String.t()}

@spec detect(t(), Evision.CUDA.GpuMat.t(), [{atom(), term()}, ...] | nil) ::
  Evision.CUDA.GpuMat.t() | {:error, String.t()}

Variant 1:

Finds line segments in a binary image using the probabilistic Hough transform.

Positional Arguments

• self: Evision.CUDA.HoughSegmentDetector.t()

• src: Evision.Mat.t().

  8-bit, single-channel binary source image.

Keyword Arguments

• stream: Evision.CUDA.Stream.t().

  Stream for the asynchronous version.

Return

• lines: Evision.Mat.t().

  Output vector of lines. Each line is represented by a 4-element vector \f$(x_1, y_1, x_2, y_2)\f$ , where \f$(x_1,y_1)\f$ and \f$(x_2, y_2)\f$ are the ending points of each detected line segment.

@sa HoughLinesP

Python prototype (for reference only):

detect(src[, lines[, stream]]) -> lines

Variant 2:

Finds line segments in a binary image using the probabilistic Hough transform.

Positional Arguments

• self: Evision.CUDA.HoughSegmentDetector.t()

• src: Evision.CUDA.GpuMat.t().

  8-bit, single-channel binary source image.

Keyword Arguments

• stream: Evision.CUDA.Stream.t().

  Stream for the asynchronous version.

Return

• lines: Evision.CUDA.GpuMat.t().

  Output vector of lines. Each line is represented by a 4-element vector \f$(x_1, y_1, x_2, y_2)\f$ , where \f$(x_1,y_1)\f$ and \f$(x_2, y_2)\f$ are the ending points of each detected line segment.

@sa HoughLinesP

Python prototype (for reference only):

detect(src[, lines[, stream]]) -> lines

@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.HoughSegmentDetector.t()

Return

• retval: bool

Python prototype (for reference only):

empty() -> retval

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

getDefaultName

Positional Arguments

• self: Evision.CUDA.HoughSegmentDetector.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 getMaxLineGap(t()) :: integer() | {:error, String.t()}

getMaxLineGap

Positional Arguments

• self: Evision.CUDA.HoughSegmentDetector.t()

Return

• retval: int

Python prototype (for reference only):

getMaxLineGap() -> retval

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

getMaxLines

Positional Arguments

• self: Evision.CUDA.HoughSegmentDetector.t()

Return

• retval: int

Python prototype (for reference only):

getMaxLines() -> retval

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

getMinLineLength

Positional Arguments

• self: Evision.CUDA.HoughSegmentDetector.t()

Return

• retval: int

Python prototype (for reference only):

getMinLineLength() -> retval

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

getRho

Positional Arguments

• self: Evision.CUDA.HoughSegmentDetector.t()

Return

• retval: float

Python prototype (for reference only):

getRho() -> retval

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

getTheta

Positional Arguments

• self: Evision.CUDA.HoughSegmentDetector.t()

Return

• retval: float

Python prototype (for reference only):

getTheta() -> retval

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

getThreshold

Positional Arguments

• self: Evision.CUDA.HoughSegmentDetector.t()

Return

• retval: int

Python prototype (for reference only):

getThreshold() -> retval

@spec read(t(), Evision.FileNode.t()) :: t() | {:error, String.t()}

Reads algorithm parameters from a file storage

Positional Arguments

• self: Evision.CUDA.HoughSegmentDetector.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.HoughSegmentDetector.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 setMaxLineGap(t(), integer()) :: t() | {:error, String.t()}

setMaxLineGap

Positional Arguments

• self: Evision.CUDA.HoughSegmentDetector.t()
• maxLineGap: int

Python prototype (for reference only):

setMaxLineGap(maxLineGap) -> None

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

setMaxLines

Positional Arguments

• self: Evision.CUDA.HoughSegmentDetector.t()
• maxLines: int

Python prototype (for reference only):

setMaxLines(maxLines) -> None

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

setMinLineLength

Positional Arguments

• self: Evision.CUDA.HoughSegmentDetector.t()
• minLineLength: int

Python prototype (for reference only):

setMinLineLength(minLineLength) -> None

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

setRho

Positional Arguments

• self: Evision.CUDA.HoughSegmentDetector.t()
• rho: float

Python prototype (for reference only):

setRho(rho) -> None

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

setTheta

Positional Arguments

• self: Evision.CUDA.HoughSegmentDetector.t()
• theta: float

Python prototype (for reference only):

setTheta(theta) -> None

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

setThreshold

Positional Arguments

• self: Evision.CUDA.HoughSegmentDetector.t()
• threshold: int

Python prototype (for reference only):

setThreshold(threshold) -> None

@spec write(t(), Evision.FileStorage.t()) :: t() | {:error, String.t()}

Stores algorithm parameters in a file storage

Positional Arguments

• self: Evision.CUDA.HoughSegmentDetector.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.HoughSegmentDetector.t()
• fs: Evision.FileStorage.t()
• name: String

Has overloading in C++

Python prototype (for reference only):

write(fs, name) -> None