@spec compute(t(), [Evision.Mat.maybe_mat_in()], [[Evision.KeyPoint.t()]]) ::
  {[[Evision.KeyPoint.t()]], [Evision.Mat.t()]} | {:error, String.t()}

@spec compute(t(), Evision.Mat.maybe_mat_in(), [Evision.KeyPoint.t()]) ::
  {[Evision.KeyPoint.t()], Evision.Mat.t()} | {:error, String.t()}

Variant 1:

compute

Positional Arguments

• self: Evision.XFeatures2D.DAISY.t()

• images: [Evision.Mat].

  Image set.

Return

• keypoints: [[Evision.KeyPoint]].

  Input collection of keypoints. Keypoints for which a descriptor cannot be computed are removed. Sometimes new keypoints can be added, for example: SIFT duplicates keypoint with several dominant orientations (for each orientation).

• descriptors: [Evision.Mat].

  Computed descriptors. In the second variant of the method descriptors[i] are descriptors computed for a keypoints[i]. Row j is the keypoints (or keypoints[i]) is the descriptor for keypoint j-th keypoint.

Has overloading in C++

Python prototype (for reference only):

compute(images, keypoints[, descriptors]) -> keypoints, descriptors

Variant 2:

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

Positional Arguments

• self: Evision.XFeatures2D.DAISY.t()

• image: Evision.Mat.t().

  Image.

Return

• keypoints: [Evision.KeyPoint].

  Input collection of keypoints. Keypoints for which a descriptor cannot be computed are removed. Sometimes new keypoints can be added, for example: SIFT duplicates keypoint with several dominant orientations (for each orientation).

• descriptors: Evision.Mat.t().

  Computed descriptors. In the second variant of the method descriptors[i] are descriptors computed for a keypoints[i]. Row j is the keypoints (or keypoints[i]) is the descriptor for keypoint j-th keypoint.

Python prototype (for reference only):

compute(image, keypoints[, descriptors]) -> keypoints, descriptors

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

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

Variant 1:

compute

Positional Arguments

• self: Evision.XFeatures2D.DAISY.t()

• images: [Evision.Mat].

  Image set.

Return

• keypoints: [[Evision.KeyPoint]].

  Input collection of keypoints. Keypoints for which a descriptor cannot be computed are removed. Sometimes new keypoints can be added, for example: SIFT duplicates keypoint with several dominant orientations (for each orientation).

• descriptors: [Evision.Mat].

  Computed descriptors. In the second variant of the method descriptors[i] are descriptors computed for a keypoints[i]. Row j is the keypoints (or keypoints[i]) is the descriptor for keypoint j-th keypoint.

Has overloading in C++

Python prototype (for reference only):

compute(images, keypoints[, descriptors]) -> keypoints, descriptors

Variant 2:

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

Positional Arguments

• self: Evision.XFeatures2D.DAISY.t()

• image: Evision.Mat.t().

  Image.

Return

• keypoints: [Evision.KeyPoint].

  Input collection of keypoints. Keypoints for which a descriptor cannot be computed are removed. Sometimes new keypoints can be added, for example: SIFT duplicates keypoint with several dominant orientations (for each orientation).

• descriptors: Evision.Mat.t().

  Computed descriptors. In the second variant of the method descriptors[i] are descriptors computed for a keypoints[i]. Row j is the keypoints (or keypoints[i]) is the descriptor for keypoint j-th keypoint.

Python prototype (for reference only):

compute(image, keypoints[, descriptors]) -> keypoints, descriptors

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

create

Keyword Arguments

• radius: float.
• q_radius: int.
• q_theta: int.
• q_hist: int.
• norm: DAISY_NormalizationType.
• h: Evision.Mat.t().
• interpolation: bool.
• use_orientation: bool.

Return

• retval: DAISY

Python prototype (for reference only):

create([, radius[, q_radius[, q_theta[, q_hist[, norm[, H[, interpolation[, use_orientation]]]]]]]]) -> retval

@spec create([{atom(), term()}, ...] | nil) :: t() | {:error, String.t()}

create

Keyword Arguments

• radius: float.
• q_radius: int.
• q_theta: int.
• q_hist: int.
• norm: DAISY_NormalizationType.
• h: Evision.Mat.t().
• interpolation: bool.
• use_orientation: bool.

Return

• retval: DAISY

Python prototype (for reference only):

create([, radius[, q_radius[, q_theta[, q_hist[, norm[, H[, interpolation[, use_orientation]]]]]]]]) -> retval

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

defaultNorm

Positional Arguments

• self: Evision.XFeatures2D.DAISY.t()

Return

• retval: int

Python prototype (for reference only):

defaultNorm() -> retval

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

descriptorSize

Positional Arguments

• self: Evision.XFeatures2D.DAISY.t()

Return

• retval: int

Python prototype (for reference only):

descriptorSize() -> retval

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

descriptorType

Positional Arguments

• self: Evision.XFeatures2D.DAISY.t()

Return

• retval: int

Python prototype (for reference only):

descriptorType() -> retval

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

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

Variant 1:

detect

Positional Arguments

• self: Evision.XFeatures2D.DAISY.t()

• images: [Evision.Mat].

  Image set.

Keyword Arguments

• masks: [Evision.Mat].

  Masks for each input image specifying where to look for keypoints (optional). masks[i] is a mask for images[i].

Return

• keypoints: [[Evision.KeyPoint]].

  The detected keypoints. In the second variant of the method keypoints[i] is a set of keypoints detected in images[i] .

Has overloading in C++

Python prototype (for reference only):

detect(images[, masks]) -> keypoints

Variant 2:

Detects keypoints in an image (first variant) or image set (second variant).

Positional Arguments

• self: Evision.XFeatures2D.DAISY.t()

• image: Evision.Mat.t().

  Image.

Keyword Arguments

• mask: Evision.Mat.t().

  Mask specifying where to look for keypoints (optional). It must be a 8-bit integer matrix with non-zero values in the region of interest.

Return

• keypoints: [Evision.KeyPoint].

  The detected keypoints. In the second variant of the method keypoints[i] is a set of keypoints detected in images[i] .

Python prototype (for reference only):

detect(image[, mask]) -> keypoints

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

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

Variant 1:

detect

Positional Arguments

• self: Evision.XFeatures2D.DAISY.t()

• images: [Evision.Mat].

  Image set.

Keyword Arguments

• masks: [Evision.Mat].

  Masks for each input image specifying where to look for keypoints (optional). masks[i] is a mask for images[i].

Return

• keypoints: [[Evision.KeyPoint]].

  The detected keypoints. In the second variant of the method keypoints[i] is a set of keypoints detected in images[i] .

Has overloading in C++

Python prototype (for reference only):

detect(images[, masks]) -> keypoints

Variant 2:

Detects keypoints in an image (first variant) or image set (second variant).

Positional Arguments

• self: Evision.XFeatures2D.DAISY.t()

• image: Evision.Mat.t().

  Image.

Keyword Arguments

• mask: Evision.Mat.t().

  Mask specifying where to look for keypoints (optional). It must be a 8-bit integer matrix with non-zero values in the region of interest.

Return

• keypoints: [Evision.KeyPoint].

  The detected keypoints. In the second variant of the method keypoints[i] is a set of keypoints detected in images[i] .

Python prototype (for reference only):

detect(image[, mask]) -> keypoints

@spec detectAndCompute(t(), Evision.Mat.maybe_mat_in(), Evision.Mat.maybe_mat_in()) ::
  {[Evision.KeyPoint.t()], Evision.Mat.t()} | {:error, String.t()}

detectAndCompute

Positional Arguments

• self: Evision.XFeatures2D.DAISY.t()
• image: Evision.Mat.t()
• mask: Evision.Mat.t()

Keyword Arguments

• useProvidedKeypoints: bool.

Return

• keypoints: [Evision.KeyPoint]
• descriptors: Evision.Mat.t().

Detects keypoints and computes the descriptors

Python prototype (for reference only):

detectAndCompute(image, mask[, descriptors[, useProvidedKeypoints]]) -> keypoints, descriptors

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

detectAndCompute

Positional Arguments

• self: Evision.XFeatures2D.DAISY.t()
• image: Evision.Mat.t()
• mask: Evision.Mat.t()

Keyword Arguments

• useProvidedKeypoints: bool.

Return

• keypoints: [Evision.KeyPoint]
• descriptors: Evision.Mat.t().

Detects keypoints and computes the descriptors

Python prototype (for reference only):

detectAndCompute(image, mask[, descriptors[, useProvidedKeypoints]]) -> keypoints, descriptors

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

empty

Positional Arguments

• self: Evision.XFeatures2D.DAISY.t()

Return

• retval: bool

Python prototype (for reference only):

empty() -> retval

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

getDefaultName

Positional Arguments

• self: Evision.XFeatures2D.DAISY.t()

Return

• retval: String

Python prototype (for reference only):

getDefaultName() -> retval

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

getH

Positional Arguments

• self: Evision.XFeatures2D.DAISY.t()

Return

• retval: Evision.Mat.t()

Python prototype (for reference only):

getH() -> retval

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

getInterpolation

Positional Arguments

• self: Evision.XFeatures2D.DAISY.t()

Return

• retval: bool

Python prototype (for reference only):

getInterpolation() -> retval

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

getNorm

Positional Arguments

• self: Evision.XFeatures2D.DAISY.t()

Return

• retval: int

Python prototype (for reference only):

getNorm() -> retval

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

getQHist

Positional Arguments

• self: Evision.XFeatures2D.DAISY.t()

Return

• retval: int

Python prototype (for reference only):

getQHist() -> retval

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

getQRadius

Positional Arguments

• self: Evision.XFeatures2D.DAISY.t()

Return

• retval: int

Python prototype (for reference only):

getQRadius() -> retval

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

getQTheta

Positional Arguments

• self: Evision.XFeatures2D.DAISY.t()

Return

• retval: int

Python prototype (for reference only):

getQTheta() -> retval

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

getRadius

Positional Arguments

• self: Evision.XFeatures2D.DAISY.t()

Return

• retval: float

Python prototype (for reference only):

getRadius() -> retval

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

getUseOrientation

Positional Arguments

• self: Evision.XFeatures2D.DAISY.t()

Return

• retval: bool

Python prototype (for reference only):

getUseOrientation() -> retval

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

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

Variant 1:

read

Positional Arguments

• self: Evision.XFeatures2D.DAISY.t()
• arg1: Evision.FileNode.t()

Python prototype (for reference only):

read(arg1) -> None

Variant 2:

read

Positional Arguments

• self: Evision.XFeatures2D.DAISY.t()
• fileName: String

Python prototype (for reference only):

read(fileName) -> None

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

setH

Positional Arguments

• self: Evision.XFeatures2D.DAISY.t()
• h: Evision.Mat.t()

Python prototype (for reference only):

setH(H) -> None

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

setInterpolation

Positional Arguments

• self: Evision.XFeatures2D.DAISY.t()
• interpolation: bool

Python prototype (for reference only):

setInterpolation(interpolation) -> None

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

setNorm

Positional Arguments

• self: Evision.XFeatures2D.DAISY.t()
• norm: int

Python prototype (for reference only):

setNorm(norm) -> None

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

setQHist

Positional Arguments

• self: Evision.XFeatures2D.DAISY.t()
• q_hist: int

Python prototype (for reference only):

setQHist(q_hist) -> None

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

setQRadius

Positional Arguments

• self: Evision.XFeatures2D.DAISY.t()
• q_radius: int

Python prototype (for reference only):

setQRadius(q_radius) -> None

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

setQTheta

Positional Arguments

• self: Evision.XFeatures2D.DAISY.t()
• q_theta: int

Python prototype (for reference only):

setQTheta(q_theta) -> None

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

setRadius

Positional Arguments

• self: Evision.XFeatures2D.DAISY.t()
• radius: float

Python prototype (for reference only):

setRadius(radius) -> None

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

setUseOrientation

Positional Arguments

• self: Evision.XFeatures2D.DAISY.t()
• use_orientation: bool

Python prototype (for reference only):

setUseOrientation(use_orientation) -> None

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

write

Positional Arguments

• self: Evision.XFeatures2D.DAISY.t()
• fileName: String

Python prototype (for reference only):

write(fileName) -> None

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

write

Positional Arguments

• self: Evision.XFeatures2D.DAISY.t()
• fs: Evision.FileStorage.t()
• name: String

Python prototype (for reference only):

write(fs, name) -> None