@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.AKAZE.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.AKAZE.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.AKAZE.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.AKAZE.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()}

The AKAZE constructor

Keyword Arguments

• descriptor_type: AKAZE_DescriptorType.

  Type of the extracted descriptor: DESCRIPTOR_KAZE, DESCRIPTOR_KAZE_UPRIGHT, DESCRIPTOR_MLDB or DESCRIPTOR_MLDB_UPRIGHT.

• descriptor_size: int.

  Size of the descriptor in bits. 0 -> Full size

• descriptor_channels: int.

  Number of channels in the descriptor (1, 2, 3)

• threshold: float.

  Detector response threshold to accept point

• nOctaves: int.

  Maximum octave evolution of the image

• nOctaveLayers: int.

  Default number of sublevels per scale level

• diffusivity: KAZE_DiffusivityType.

  Diffusivity type. DIFF_PM_G1, DIFF_PM_G2, DIFF_WEICKERT or DIFF_CHARBONNIER

Return

• retval: Evision.AKAZE.t()

Python prototype (for reference only):

create([, descriptor_type[, descriptor_size[, descriptor_channels[, threshold[, nOctaves[, nOctaveLayers[, diffusivity]]]]]]]) -> retval

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

The AKAZE constructor

Keyword Arguments

• descriptor_type: AKAZE_DescriptorType.

  Type of the extracted descriptor: DESCRIPTOR_KAZE, DESCRIPTOR_KAZE_UPRIGHT, DESCRIPTOR_MLDB or DESCRIPTOR_MLDB_UPRIGHT.

• descriptor_size: int.

  Size of the descriptor in bits. 0 -> Full size

• descriptor_channels: int.

  Number of channels in the descriptor (1, 2, 3)

• threshold: float.

  Detector response threshold to accept point

• nOctaves: int.

  Maximum octave evolution of the image

• nOctaveLayers: int.

  Default number of sublevels per scale level

• diffusivity: KAZE_DiffusivityType.

  Diffusivity type. DIFF_PM_G1, DIFF_PM_G2, DIFF_WEICKERT or DIFF_CHARBONNIER

Return

• retval: Evision.AKAZE.t()

Python prototype (for reference only):

create([, descriptor_type[, descriptor_size[, descriptor_channels[, threshold[, nOctaves[, nOctaveLayers[, diffusivity]]]]]]]) -> retval

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

defaultNorm

Positional Arguments

• self: Evision.AKAZE.t()

Return

• retval: int

Python prototype (for reference only):

defaultNorm() -> retval

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

descriptorSize

Positional Arguments

• self: Evision.AKAZE.t()

Return

• retval: int

Python prototype (for reference only):

descriptorSize() -> retval

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

descriptorType

Positional Arguments

• self: Evision.AKAZE.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.AKAZE.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.AKAZE.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.AKAZE.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.AKAZE.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.AKAZE.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.AKAZE.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.AKAZE.t()

Return

• retval: bool

Python prototype (for reference only):

empty() -> retval

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

getDefaultName

Positional Arguments

• self: Evision.AKAZE.t()

Return

• retval: String

Python prototype (for reference only):

getDefaultName() -> retval

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

getDescriptorChannels

Positional Arguments

• self: Evision.AKAZE.t()

Return

• retval: int

Python prototype (for reference only):

getDescriptorChannels() -> retval

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

getDescriptorSize

Positional Arguments

• self: Evision.AKAZE.t()

Return

• retval: int

Python prototype (for reference only):

getDescriptorSize() -> retval

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

getDescriptorType

Positional Arguments

• self: Evision.AKAZE.t()

Return

• retval: AKAZE::DescriptorType

Python prototype (for reference only):

getDescriptorType() -> retval

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

getDiffusivity

Positional Arguments

• self: Evision.AKAZE.t()

Return

• retval: KAZE::DiffusivityType

Python prototype (for reference only):

getDiffusivity() -> retval

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

getNOctaveLayers

Positional Arguments

• self: Evision.AKAZE.t()

Return

• retval: int

Python prototype (for reference only):

getNOctaveLayers() -> retval

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

getNOctaves

Positional Arguments

• self: Evision.AKAZE.t()

Return

• retval: int

Python prototype (for reference only):

getNOctaves() -> retval

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

getThreshold

Positional Arguments

• self: Evision.AKAZE.t()

Return

• retval: double

Python prototype (for reference only):

getThreshold() -> 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.AKAZE.t()
• arg1: Evision.FileNode.t()

Python prototype (for reference only):

read(arg1) -> None

Variant 2:

read

Positional Arguments

• self: Evision.AKAZE.t()
• fileName: String

Python prototype (for reference only):

read(fileName) -> None

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

setDescriptorChannels

Positional Arguments

• self: Evision.AKAZE.t()
• dch: int

Python prototype (for reference only):

setDescriptorChannels(dch) -> None

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

setDescriptorSize

Positional Arguments

• self: Evision.AKAZE.t()
• dsize: int

Python prototype (for reference only):

setDescriptorSize(dsize) -> None

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

setDescriptorType

Positional Arguments

• self: Evision.AKAZE.t()
• dtype: AKAZE_DescriptorType

Python prototype (for reference only):

setDescriptorType(dtype) -> None

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

setDiffusivity

Positional Arguments

• self: Evision.AKAZE.t()
• diff: KAZE_DiffusivityType

Python prototype (for reference only):

setDiffusivity(diff) -> None

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

setNOctaveLayers

Positional Arguments

• self: Evision.AKAZE.t()
• octaveLayers: int

Python prototype (for reference only):

setNOctaveLayers(octaveLayers) -> None

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

setNOctaves

Positional Arguments

• self: Evision.AKAZE.t()
• octaves: int

Python prototype (for reference only):

setNOctaves(octaves) -> None

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

setThreshold

Positional Arguments

• self: Evision.AKAZE.t()
• threshold: double

Python prototype (for reference only):

setThreshold(threshold) -> None

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

write

Positional Arguments

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

Python prototype (for reference only):

write(fs, name) -> None