@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.MSDDetector.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.MSDDetector.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.MSDDetector.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.MSDDetector.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

• m_patch_radius: int.
• m_search_area_radius: int.
• m_nms_radius: int.
• m_nms_scale_radius: int.
• m_th_saliency: float.
• m_kNN: int.
• m_scale_factor: float.
• m_n_scales: int.
• m_compute_orientation: bool.

Return

• retval: MSDDetector

Python prototype (for reference only):

create([, m_patch_radius[, m_search_area_radius[, m_nms_radius[, m_nms_scale_radius[, m_th_saliency[, m_kNN[, m_scale_factor[, m_n_scales[, m_compute_orientation]]]]]]]]]) -> retval

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

create

Keyword Arguments

• m_patch_radius: int.
• m_search_area_radius: int.
• m_nms_radius: int.
• m_nms_scale_radius: int.
• m_th_saliency: float.
• m_kNN: int.
• m_scale_factor: float.
• m_n_scales: int.
• m_compute_orientation: bool.

Return

• retval: MSDDetector

Python prototype (for reference only):

create([, m_patch_radius[, m_search_area_radius[, m_nms_radius[, m_nms_scale_radius[, m_th_saliency[, m_kNN[, m_scale_factor[, m_n_scales[, m_compute_orientation]]]]]]]]]) -> retval

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

defaultNorm

Positional Arguments

• self: Evision.XFeatures2D.MSDDetector.t()

Return

• retval: int

Python prototype (for reference only):

defaultNorm() -> retval

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

descriptorSize

Positional Arguments

• self: Evision.XFeatures2D.MSDDetector.t()

Return

• retval: int

Python prototype (for reference only):

descriptorSize() -> retval

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

descriptorType

Positional Arguments

• self: Evision.XFeatures2D.MSDDetector.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.MSDDetector.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.MSDDetector.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.MSDDetector.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.MSDDetector.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.MSDDetector.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.MSDDetector.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.MSDDetector.t()

Return

• retval: bool

Python prototype (for reference only):

empty() -> retval

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

getComputeOrientation

Positional Arguments

• self: Evision.XFeatures2D.MSDDetector.t()

Return

• retval: bool

Python prototype (for reference only):

getComputeOrientation() -> retval

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

getDefaultName

Positional Arguments

• self: Evision.XFeatures2D.MSDDetector.t()

Return

• retval: String

Python prototype (for reference only):

getDefaultName() -> retval

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

getKNN

Positional Arguments

• self: Evision.XFeatures2D.MSDDetector.t()

Return

• retval: int

Python prototype (for reference only):

getKNN() -> retval

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

getNmsRadius

Positional Arguments

• self: Evision.XFeatures2D.MSDDetector.t()

Return

• retval: int

Python prototype (for reference only):

getNmsRadius() -> retval

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

getNmsScaleRadius

Positional Arguments

• self: Evision.XFeatures2D.MSDDetector.t()

Return

• retval: int

Python prototype (for reference only):

getNmsScaleRadius() -> retval

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

getNScales

Positional Arguments

• self: Evision.XFeatures2D.MSDDetector.t()

Return

• retval: int

Python prototype (for reference only):

getNScales() -> retval

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

getPatchRadius

Positional Arguments

• self: Evision.XFeatures2D.MSDDetector.t()

Return

• retval: int

Python prototype (for reference only):

getPatchRadius() -> retval

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

getScaleFactor

Positional Arguments

• self: Evision.XFeatures2D.MSDDetector.t()

Return

• retval: float

Python prototype (for reference only):

getScaleFactor() -> retval

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

getSearchAreaRadius

Positional Arguments

• self: Evision.XFeatures2D.MSDDetector.t()

Return

• retval: int

Python prototype (for reference only):

getSearchAreaRadius() -> retval

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

getThSaliency

Positional Arguments

• self: Evision.XFeatures2D.MSDDetector.t()

Return

• retval: float

Python prototype (for reference only):

getThSaliency() -> 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.MSDDetector.t()
• arg1: Evision.FileNode.t()

Python prototype (for reference only):

read(arg1) -> None

Variant 2:

read

Positional Arguments

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

Python prototype (for reference only):

read(fileName) -> None

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

setComputeOrientation

Positional Arguments

• self: Evision.XFeatures2D.MSDDetector.t()
• compute_orientation: bool

Python prototype (for reference only):

setComputeOrientation(compute_orientation) -> None

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

setKNN

Positional Arguments

• self: Evision.XFeatures2D.MSDDetector.t()
• kNN: int

Python prototype (for reference only):

setKNN(kNN) -> None

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

setNmsRadius

Positional Arguments

• self: Evision.XFeatures2D.MSDDetector.t()
• nms_radius: int

Python prototype (for reference only):

setNmsRadius(nms_radius) -> None

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

setNmsScaleRadius

Positional Arguments

• self: Evision.XFeatures2D.MSDDetector.t()
• nms_scale_radius: int

Python prototype (for reference only):

setNmsScaleRadius(nms_scale_radius) -> None

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

setNScales

Positional Arguments

• self: Evision.XFeatures2D.MSDDetector.t()
• use_orientation: int

Python prototype (for reference only):

setNScales(use_orientation) -> None

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

setPatchRadius

Positional Arguments

• self: Evision.XFeatures2D.MSDDetector.t()
• patch_radius: int

Python prototype (for reference only):

setPatchRadius(patch_radius) -> None

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

setScaleFactor

Positional Arguments

• self: Evision.XFeatures2D.MSDDetector.t()
• scale_factor: float

Python prototype (for reference only):

setScaleFactor(scale_factor) -> None

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

setSearchAreaRadius

Positional Arguments

• self: Evision.XFeatures2D.MSDDetector.t()
• use_orientation: int

Python prototype (for reference only):

setSearchAreaRadius(use_orientation) -> None

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

setThSaliency

Positional Arguments

• self: Evision.XFeatures2D.MSDDetector.t()
• th_saliency: float

Python prototype (for reference only):

setThSaliency(th_saliency) -> None

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

write

Positional Arguments

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

Python prototype (for reference only):

write(fs, name) -> None