View Source Evision.XImgProc.SelectiveSearchSegmentationStrategy (Evision v0.2.2-rc2)
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
Clears the algorithm state
Positional Arguments
- self:
Evision.XImgProc.SelectiveSearchSegmentationStrategy.t()
Python prototype (for reference only):
clear() -> None
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:
int
.The first region
r2:
int
.The second region
Return
- retval:
float
Python prototype (for reference only):
get(r1, r2) -> retval
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:
int
.The first region
r2:
int
.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()
- fn_:
Evision.FileNode.t()
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.t()
.The input image. Any number of channel can be provided
regions:
Evision.Mat.t()
.A segmentation of the image. The parameter must be the same size of img.
sizes:
Evision.Mat.t()
.The sizes of different regions
Keyword Arguments
image_id:
int
.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.t()
.The input image. Any number of channel can be provided
regions:
Evision.Mat.t()
.A segmentation of the image. The parameter must be the same size of img.
sizes:
Evision.Mat.t()
.The sizes of different regions
Keyword Arguments
image_id:
int
.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.t()
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.t()
- name:
String
Has overloading in C++
Python prototype (for reference only):
write(fs, name) -> None