View Source Evision.SimpleBlobDetector (Evision v0.2.17-rc1)
Summary
Functions
Clears the algorithm state
Variant 1:
compute
Variant 1:
compute
Flag to enable contour collection. If set to true, the detector will store the contours of the detected blobs in memory, which can be retrieved after the detect() call using getBlobContours().
Flag to enable contour collection. If set to true, the detector will store the contours of the detected blobs in memory, which can be retrieved after the detect() call using getBlobContours().
defaultNorm
descriptorSize
descriptorType
Variant 1:
detect
Variant 1:
detect
detectAndCompute
detectAndCompute
empty
Returns the contours of the blobs detected during the last call to detect().
getDefaultName
getParams
Variant 1:
read
save
setParams
write
write
Types
@type t() :: %Evision.SimpleBlobDetector{ref: reference()}
Type that represents an SimpleBlobDetector struct.
ref.
reference()The underlying erlang resource variable.
Functions
@spec clear(Keyword.t()) :: any() | {:error, String.t()}
@spec clear(t()) :: t() | {:error, String.t()}
Clears the algorithm state
Positional Arguments
- self:
Evision.SimpleBlobDetector.t()
Python prototype (for reference only):
clear() -> None
@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.SimpleBlobDetector.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, descriptorsVariant 2:
Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).
Positional Arguments
self:
Evision.SimpleBlobDetector.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.SimpleBlobDetector.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, descriptorsVariant 2:
Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).
Positional Arguments
self:
Evision.SimpleBlobDetector.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
Flag to enable contour collection. If set to true, the detector will store the contours of the detected blobs in memory, which can be retrieved after the detect() call using getBlobContours().
Keyword Arguments
- parameters:
Evision.SimpleBlobDetector.Params.
Return
- retval:
Evision.SimpleBlobDetector.t()
Note: Default value is false.
Python prototype (for reference only):
create([, parameters]) -> retval
@spec create(Keyword.t()) :: any() | {:error, String.t()}
@spec create([{:parameters, term()}] | nil) :: t() | {:error, String.t()}
Flag to enable contour collection. If set to true, the detector will store the contours of the detected blobs in memory, which can be retrieved after the detect() call using getBlobContours().
Keyword Arguments
- parameters:
Evision.SimpleBlobDetector.Params.
Return
- retval:
Evision.SimpleBlobDetector.t()
Note: Default value is false.
Python prototype (for reference only):
create([, parameters]) -> retval
@spec defaultNorm(Keyword.t()) :: any() | {:error, String.t()}
@spec defaultNorm(t()) :: integer() | {:error, String.t()}
defaultNorm
Positional Arguments
- self:
Evision.SimpleBlobDetector.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.SimpleBlobDetector.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.SimpleBlobDetector.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.SimpleBlobDetector.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]) -> keypointsVariant 2:
Detects keypoints in an image (first variant) or image set (second variant).
Positional Arguments
self:
Evision.SimpleBlobDetector.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.SimpleBlobDetector.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]) -> keypointsVariant 2:
Detects keypoints in an image (first variant) or image set (second variant).
Positional Arguments
self:
Evision.SimpleBlobDetector.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.SimpleBlobDetector.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.SimpleBlobDetector.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.SimpleBlobDetector.t()
Return
- retval:
bool
Python prototype (for reference only):
empty() -> retval
@spec getBlobContours(Keyword.t()) :: any() | {:error, String.t()}
@spec getBlobContours(t()) :: [[{number(), number()}]] | {:error, String.t()}
Returns the contours of the blobs detected during the last call to detect().
Positional Arguments
- self:
Evision.SimpleBlobDetector.t()
Return
- retval:
[[cv::Point]]
Note: The @ref Params::collectContours parameter must be set to true before calling detect() for this method to return any data.
Python prototype (for reference only):
getBlobContours() -> retval
@spec getDefaultName(Keyword.t()) :: any() | {:error, String.t()}
@spec getDefaultName(t()) :: binary() | {:error, String.t()}
getDefaultName
Positional Arguments
- self:
Evision.SimpleBlobDetector.t()
Return
- retval:
String
Python prototype (for reference only):
getDefaultName() -> retval
@spec getParams(Keyword.t()) :: any() | {:error, String.t()}
@spec getParams(t()) :: Evision.SimpleBlobDetector.Params.t() | {:error, String.t()}
getParams
Positional Arguments
- self:
Evision.SimpleBlobDetector.t()
Return
- retval:
Evision.SimpleBlobDetector.Params.t()
Python prototype (for reference only):
getParams() -> 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.SimpleBlobDetector.t() - arg1:
Evision.FileNode
Python prototype (for reference only):
read(arg1) -> NoneVariant 2:
read
Positional Arguments
- self:
Evision.SimpleBlobDetector.t() - fileName:
String
Python prototype (for reference only):
read(fileName) -> None
save
Positional Arguments
- self:
Evision.SimpleBlobDetector.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 setParams(t(), Evision.SimpleBlobDetector.Params.t()) :: t() | {:error, String.t()}
setParams
Positional Arguments
- self:
Evision.SimpleBlobDetector.t() - params:
Evision.SimpleBlobDetector.Params
Python prototype (for reference only):
setParams(params) -> None
write
Positional Arguments
- self:
Evision.SimpleBlobDetector.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.SimpleBlobDetector.t() - fs:
Evision.FileStorage - name:
String
Python prototype (for reference only):
write(fs, name) -> None