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

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

Clears the algorithm state

Positional Arguments

• self: Evision.CUDA.HoughCirclesDetector.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 circles in a grayscale image using the Hough transform.

Positional Arguments

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

• src: Evision.Mat.

  8-bit, single-channel grayscale input image.

Keyword Arguments

• stream: Evision.CUDA.Stream.t().

  Stream for the asynchronous version.

Return

• circles: Evision.Mat.t().

  Output vector of found circles. Each vector is encoded as a 3-element floating-point vector \f$(x, y, radius)\f$ .

@sa HoughCircles

Python prototype (for reference only):

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

Variant 2:

Finds circles in a grayscale image using the Hough transform.

Positional Arguments

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

• src: Evision.CUDA.GpuMat.t().

  8-bit, single-channel grayscale input image.

Keyword Arguments

• stream: Evision.CUDA.Stream.t().

  Stream for the asynchronous version.

Return

• circles: Evision.CUDA.GpuMat.t().

  Output vector of found circles. Each vector is encoded as a 3-element floating-point vector \f$(x, y, radius)\f$ .

@sa HoughCircles

Python prototype (for reference only):

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

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

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

Variant 1:

Finds circles in a grayscale image using the Hough transform.

Positional Arguments

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

• src: Evision.Mat.

  8-bit, single-channel grayscale input image.

Keyword Arguments

• stream: Evision.CUDA.Stream.t().

  Stream for the asynchronous version.

Return

• circles: Evision.Mat.t().

  Output vector of found circles. Each vector is encoded as a 3-element floating-point vector \f$(x, y, radius)\f$ .

@sa HoughCircles

Python prototype (for reference only):

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

Variant 2:

Finds circles in a grayscale image using the Hough transform.

Positional Arguments

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

• src: Evision.CUDA.GpuMat.t().

  8-bit, single-channel grayscale input image.

Keyword Arguments

• stream: Evision.CUDA.Stream.t().

  Stream for the asynchronous version.

Return

• circles: Evision.CUDA.GpuMat.t().

  Output vector of found circles. Each vector is encoded as a 3-element floating-point vector \f$(x, y, radius)\f$ .

@sa HoughCircles

Python prototype (for reference only):

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

@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.HoughCirclesDetector.t()

Return

• retval: bool

Python prototype (for reference only):

empty() -> retval

@spec getCannyThreshold(Keyword.t()) :: any() | {:error, String.t()}

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

getCannyThreshold

Positional Arguments

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

Return

• retval: integer()

Python prototype (for reference only):

getCannyThreshold() -> retval

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

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

getDefaultName

Positional Arguments

• self: Evision.CUDA.HoughCirclesDetector.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 getDp(Keyword.t()) :: any() | {:error, String.t()}

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

getDp

Positional Arguments

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

Return

• retval: float

Python prototype (for reference only):

getDp() -> retval

@spec getMaxCircles(Keyword.t()) :: any() | {:error, String.t()}

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

getMaxCircles

Positional Arguments

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

Return

• retval: integer()

Python prototype (for reference only):

getMaxCircles() -> retval

@spec getMaxRadius(Keyword.t()) :: any() | {:error, String.t()}

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

getMaxRadius

Positional Arguments

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

Return

• retval: integer()

Python prototype (for reference only):

getMaxRadius() -> retval

@spec getMinDist(Keyword.t()) :: any() | {:error, String.t()}

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

getMinDist

Positional Arguments

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

Return

• retval: float

Python prototype (for reference only):

getMinDist() -> retval

@spec getMinRadius(Keyword.t()) :: any() | {:error, String.t()}

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

getMinRadius

Positional Arguments

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

Return

• retval: integer()

Python prototype (for reference only):

getMinRadius() -> retval

@spec getVotesThreshold(Keyword.t()) :: any() | {:error, String.t()}

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

getVotesThreshold

Positional Arguments

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

Return

• retval: integer()

Python prototype (for reference only):

getVotesThreshold() -> retval

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

Reads algorithm parameters from a file storage

Positional Arguments

• self: Evision.CUDA.HoughCirclesDetector.t()
• func: Evision.FileNode

Python prototype (for reference only):

read(fn) -> None

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

save

Positional Arguments

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

setCannyThreshold

Positional Arguments

• self: Evision.CUDA.HoughCirclesDetector.t()
• cannyThreshold: integer()

Python prototype (for reference only):

setCannyThreshold(cannyThreshold) -> None

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

setDp

Positional Arguments

• self: Evision.CUDA.HoughCirclesDetector.t()
• dp: float

Python prototype (for reference only):

setDp(dp) -> None

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

setMaxCircles

Positional Arguments

• self: Evision.CUDA.HoughCirclesDetector.t()
• maxCircles: integer()

Python prototype (for reference only):

setMaxCircles(maxCircles) -> None

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

setMaxRadius

Positional Arguments

• self: Evision.CUDA.HoughCirclesDetector.t()
• maxRadius: integer()

Python prototype (for reference only):

setMaxRadius(maxRadius) -> None

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

setMinDist

Positional Arguments

• self: Evision.CUDA.HoughCirclesDetector.t()
• minDist: float

Python prototype (for reference only):

setMinDist(minDist) -> None

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

setMinRadius

Positional Arguments

• self: Evision.CUDA.HoughCirclesDetector.t()
• minRadius: integer()

Python prototype (for reference only):

setMinRadius(minRadius) -> None

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

setVotesThreshold

Positional Arguments

• self: Evision.CUDA.HoughCirclesDetector.t()
• votesThreshold: integer()

Python prototype (for reference only):

setVotesThreshold(votesThreshold) -> None

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

Stores algorithm parameters in a file storage

Positional Arguments

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

Has overloading in C++

Python prototype (for reference only):

write(fs, name) -> None