View Source Evision.BRISK (Evision v0.2.9)
Summary
Functions
Variant 1:
compute
Variant 1:
compute
The BRISK constructor
The BRISK constructor
The BRISK constructor for a custom pattern
The BRISK constructor for a custom pattern
The BRISK constructor for a custom pattern, detection threshold and octaves
The BRISK constructor for a custom pattern, detection threshold and octaves
defaultNorm
descriptorSize
descriptorType
Variant 1:
detect
Variant 1:
detect
detectAndCompute
detectAndCompute
empty
getDefaultName
getOctaves
getPatternScale
getThreshold
Variant 1:
read
Set detection octaves.
Set detection patternScale.
Set detection threshold.
write
write
Types
@type t() :: %Evision.BRISK{ref: reference()}
Type that represents an BRISK
struct.
ref.
reference()
The underlying erlang resource variable.
Functions
@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.BRISK.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.BRISK.t()
image:
Evision.Mat
.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.BRISK.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.BRISK.t()
image:
Evision.Mat
.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
The BRISK constructor
Keyword Arguments
thresh:
integer()
.AGAST detection threshold score.
octaves:
integer()
.detection octaves. Use 0 to do single scale.
patternScale:
float
.apply this scale to the pattern used for sampling the neighbourhood of a keypoint.
Return
- retval:
Evision.BRISK.t()
Python prototype (for reference only):
create([, thresh[, octaves[, patternScale]]]) -> retval
@spec create(Keyword.t()) :: any() | {:error, String.t()}
@spec create([octaves: term(), patternScale: term(), thresh: term()] | nil) :: t() | {:error, String.t()}
The BRISK constructor
Keyword Arguments
thresh:
integer()
.AGAST detection threshold score.
octaves:
integer()
.detection octaves. Use 0 to do single scale.
patternScale:
float
.apply this scale to the pattern used for sampling the neighbourhood of a keypoint.
Return
- retval:
Evision.BRISK.t()
Python prototype (for reference only):
create([, thresh[, octaves[, patternScale]]]) -> retval
The BRISK constructor for a custom pattern
Positional Arguments
radiusList:
[float]
.defines the radii (in pixels) where the samples around a keypoint are taken (for keypoint scale 1).
numberList:
[integer()]
.defines the number of sampling points on the sampling circle. Must be the same size as radiusList..
Keyword Arguments
dMax:
float
.threshold for the short pairings used for descriptor formation (in pixels for keypoint scale 1).
dMin:
float
.threshold for the long pairings used for orientation determination (in pixels for keypoint scale 1).
indexChange:
[integer()]
.index remapping of the bits.
Return
- retval:
Evision.BRISK.t()
Python prototype (for reference only):
create(radiusList, numberList[, dMax[, dMin[, indexChange]]]) -> retval
@spec create( [number()], [integer()], [dMax: term(), dMin: term(), indexChange: term()] | nil ) :: t() | {:error, String.t()}
The BRISK constructor for a custom pattern
Positional Arguments
radiusList:
[float]
.defines the radii (in pixels) where the samples around a keypoint are taken (for keypoint scale 1).
numberList:
[integer()]
.defines the number of sampling points on the sampling circle. Must be the same size as radiusList..
Keyword Arguments
dMax:
float
.threshold for the short pairings used for descriptor formation (in pixels for keypoint scale 1).
dMin:
float
.threshold for the long pairings used for orientation determination (in pixels for keypoint scale 1).
indexChange:
[integer()]
.index remapping of the bits.
Return
- retval:
Evision.BRISK.t()
Python prototype (for reference only):
create(radiusList, numberList[, dMax[, dMin[, indexChange]]]) -> retval
The BRISK constructor for a custom pattern, detection threshold and octaves
Positional Arguments
thresh:
integer()
.AGAST detection threshold score.
octaves:
integer()
.detection octaves. Use 0 to do single scale.
radiusList:
[float]
.defines the radii (in pixels) where the samples around a keypoint are taken (for keypoint scale 1).
numberList:
[integer()]
.defines the number of sampling points on the sampling circle. Must be the same size as radiusList..
Keyword Arguments
dMax:
float
.threshold for the short pairings used for descriptor formation (in pixels for keypoint scale 1).
dMin:
float
.threshold for the long pairings used for orientation determination (in pixels for keypoint scale 1).
indexChange:
[integer()]
.index remapping of the bits.
Return
- retval:
Evision.BRISK.t()
Python prototype (for reference only):
create(thresh, octaves, radiusList, numberList[, dMax[, dMin[, indexChange]]]) -> retval
@spec create( integer(), integer(), [number()], [integer()], [dMax: term(), dMin: term(), indexChange: term()] | nil ) :: t() | {:error, String.t()}
The BRISK constructor for a custom pattern, detection threshold and octaves
Positional Arguments
thresh:
integer()
.AGAST detection threshold score.
octaves:
integer()
.detection octaves. Use 0 to do single scale.
radiusList:
[float]
.defines the radii (in pixels) where the samples around a keypoint are taken (for keypoint scale 1).
numberList:
[integer()]
.defines the number of sampling points on the sampling circle. Must be the same size as radiusList..
Keyword Arguments
dMax:
float
.threshold for the short pairings used for descriptor formation (in pixels for keypoint scale 1).
dMin:
float
.threshold for the long pairings used for orientation determination (in pixels for keypoint scale 1).
indexChange:
[integer()]
.index remapping of the bits.
Return
- retval:
Evision.BRISK.t()
Python prototype (for reference only):
create(thresh, octaves, radiusList, numberList[, dMax[, dMin[, indexChange]]]) -> retval
@spec defaultNorm(Keyword.t()) :: any() | {:error, String.t()}
@spec defaultNorm(t()) :: integer() | {:error, String.t()}
defaultNorm
Positional Arguments
- self:
Evision.BRISK.t()
Return
- retval:
integer()
Python prototype (for reference only):
defaultNorm() -> retval
@spec descriptorSize(Keyword.t()) :: any() | {:error, String.t()}
@spec descriptorSize(t()) :: integer() | {:error, String.t()}
descriptorSize
Positional Arguments
- self:
Evision.BRISK.t()
Return
- retval:
integer()
Python prototype (for reference only):
descriptorSize() -> retval
@spec descriptorType(Keyword.t()) :: any() | {:error, String.t()}
@spec descriptorType(t()) :: integer() | {:error, String.t()}
descriptorType
Positional Arguments
- self:
Evision.BRISK.t()
Return
- retval:
integer()
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.BRISK.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.BRISK.t()
image:
Evision.Mat
.Image.
Keyword Arguments
mask:
Evision.Mat
.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()], [{:masks, term()}] | nil) :: [[Evision.KeyPoint.t()]] | {:error, String.t()}
@spec detect(t(), Evision.Mat.maybe_mat_in(), [{:mask, term()}] | nil) :: [Evision.KeyPoint.t()] | {:error, String.t()}
Variant 1:
detect
Positional Arguments
self:
Evision.BRISK.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.BRISK.t()
image:
Evision.Mat
.Image.
Keyword Arguments
mask:
Evision.Mat
.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.BRISK.t()
- image:
Evision.Mat
- mask:
Evision.Mat
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(), [{:useProvidedKeypoints, term()}] | nil ) :: {[Evision.KeyPoint.t()], Evision.Mat.t()} | {:error, String.t()}
detectAndCompute
Positional Arguments
- self:
Evision.BRISK.t()
- image:
Evision.Mat
- mask:
Evision.Mat
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(Keyword.t()) :: any() | {:error, String.t()}
@spec empty(t()) :: boolean() | {:error, String.t()}
empty
Positional Arguments
- self:
Evision.BRISK.t()
Return
- retval:
bool
Python prototype (for reference only):
empty() -> retval
@spec getDefaultName(Keyword.t()) :: any() | {:error, String.t()}
@spec getDefaultName(t()) :: binary() | {:error, String.t()}
getDefaultName
Positional Arguments
- self:
Evision.BRISK.t()
Return
- retval:
String
Python prototype (for reference only):
getDefaultName() -> retval
@spec getOctaves(Keyword.t()) :: any() | {:error, String.t()}
@spec getOctaves(t()) :: integer() | {:error, String.t()}
getOctaves
Positional Arguments
- self:
Evision.BRISK.t()
Return
- retval:
integer()
Python prototype (for reference only):
getOctaves() -> retval
@spec getPatternScale(Keyword.t()) :: any() | {:error, String.t()}
@spec getPatternScale(t()) :: number() | {:error, String.t()}
getPatternScale
Positional Arguments
- self:
Evision.BRISK.t()
Return
- retval:
float
Python prototype (for reference only):
getPatternScale() -> retval
@spec getThreshold(Keyword.t()) :: any() | {:error, String.t()}
@spec getThreshold(t()) :: integer() | {:error, String.t()}
getThreshold
Positional Arguments
- self:
Evision.BRISK.t()
Return
- retval:
integer()
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.BRISK.t()
- arg1:
Evision.FileNode
Python prototype (for reference only):
read(arg1) -> None
Variant 2:
read
Positional Arguments
- self:
Evision.BRISK.t()
- fileName:
String
Python prototype (for reference only):
read(fileName) -> None
Set detection octaves.
Positional Arguments
self:
Evision.BRISK.t()
octaves:
integer()
.detection octaves. Use 0 to do single scale.
Python prototype (for reference only):
setOctaves(octaves) -> None
Set detection patternScale.
Positional Arguments
self:
Evision.BRISK.t()
patternScale:
float
.apply this scale to the pattern used for sampling the neighbourhood of a keypoint.
Python prototype (for reference only):
setPatternScale(patternScale) -> None
Set detection threshold.
Positional Arguments
self:
Evision.BRISK.t()
threshold:
integer()
.AGAST detection threshold score.
Python prototype (for reference only):
setThreshold(threshold) -> None
write
Positional Arguments
- self:
Evision.BRISK.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.BRISK.t()
- fs:
Evision.FileStorage
- name:
String
Python prototype (for reference only):
write(fs, name) -> None