View Source Evision.XImgProc.SelectiveSearchSegmentationStrategy (Evision v0.2.9)
Summary
Functions
Clears the algorithm state
Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read
Return the score between two regions (between 0 and 1)
getDefaultName
Inform the strategy that two regions will be merged
Reads algorithm parameters from a file storage
save
Set a initial image, with a segmentation.
Set a initial image, with a segmentation.
Stores algorithm parameters in a file storage
write
Types
@type t() :: %Evision.XImgProc.SelectiveSearchSegmentationStrategy{ref: reference()}
Type that represents an XImgProc.SelectiveSearchSegmentationStrategy
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.XImgProc.SelectiveSearchSegmentationStrategy.t()
Python prototype (for reference only):
clear() -> None
@spec empty(Keyword.t()) :: any() | {:error, String.t()}
@spec empty(t()) :: boolean() | {:error, String.t()}
Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read
Positional Arguments
- self:
Evision.XImgProc.SelectiveSearchSegmentationStrategy.t()
Return
- retval:
bool
Python prototype (for reference only):
empty() -> retval
Return the score between two regions (between 0 and 1)
Positional Arguments
self:
Evision.XImgProc.SelectiveSearchSegmentationStrategy.t()
r1:
integer()
.The first region
r2:
integer()
.The second region
Return
- retval:
float
Python prototype (for reference only):
get(r1, r2) -> retval
@spec getDefaultName(Keyword.t()) :: any() | {:error, String.t()}
@spec getDefaultName(t()) :: binary() | {:error, String.t()}
getDefaultName
Positional Arguments
- self:
Evision.XImgProc.SelectiveSearchSegmentationStrategy.t()
Return
- retval:
String
Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.
Python prototype (for reference only):
getDefaultName() -> retval
Inform the strategy that two regions will be merged
Positional Arguments
self:
Evision.XImgProc.SelectiveSearchSegmentationStrategy.t()
r1:
integer()
.The first region
r2:
integer()
.The second region
Python prototype (for reference only):
merge(r1, r2) -> None
@spec read(t(), Evision.FileNode.t()) :: t() | {:error, String.t()}
Reads algorithm parameters from a file storage
Positional Arguments
- self:
Evision.XImgProc.SelectiveSearchSegmentationStrategy.t()
- func:
Evision.FileNode
Python prototype (for reference only):
read(fn) -> None
save
Positional Arguments
- self:
Evision.XImgProc.SelectiveSearchSegmentationStrategy.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 setImage( t(), Evision.Mat.maybe_mat_in(), Evision.Mat.maybe_mat_in(), Evision.Mat.maybe_mat_in() ) :: t() | {:error, String.t()}
Set a initial image, with a segmentation.
Positional Arguments
self:
Evision.XImgProc.SelectiveSearchSegmentationStrategy.t()
img:
Evision.Mat
.The input image. Any number of channel can be provided
regions:
Evision.Mat
.A segmentation of the image. The parameter must be the same size of img.
sizes:
Evision.Mat
.The sizes of different regions
Keyword Arguments
image_id:
integer()
.If not set to -1, try to cache pre-computations. If the same set og (img, regions, size) is used, the image_id need to be the same.
Python prototype (for reference only):
setImage(img, regions, sizes[, image_id]) -> None
@spec setImage( t(), Evision.Mat.maybe_mat_in(), Evision.Mat.maybe_mat_in(), Evision.Mat.maybe_mat_in(), [{:image_id, term()}] | nil ) :: t() | {:error, String.t()}
Set a initial image, with a segmentation.
Positional Arguments
self:
Evision.XImgProc.SelectiveSearchSegmentationStrategy.t()
img:
Evision.Mat
.The input image. Any number of channel can be provided
regions:
Evision.Mat
.A segmentation of the image. The parameter must be the same size of img.
sizes:
Evision.Mat
.The sizes of different regions
Keyword Arguments
image_id:
integer()
.If not set to -1, try to cache pre-computations. If the same set og (img, regions, size) is used, the image_id need to be the same.
Python prototype (for reference only):
setImage(img, regions, sizes[, image_id]) -> None
@spec write(t(), Evision.FileStorage.t()) :: t() | {:error, String.t()}
Stores algorithm parameters in a file storage
Positional Arguments
- self:
Evision.XImgProc.SelectiveSearchSegmentationStrategy.t()
- fs:
Evision.FileStorage
Python prototype (for reference only):
write(fs) -> None
@spec write(t(), Evision.FileStorage.t(), binary()) :: t() | {:error, String.t()}
write
Positional Arguments
- self:
Evision.XImgProc.SelectiveSearchSegmentationStrategy.t()
- fs:
Evision.FileStorage
- name:
String
Has overloading in C++
Python prototype (for reference only):
write(fs, name) -> None