View Source Evision.MergeExposures (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
getDefaultName
Merges images.
Merges images.
Reads algorithm parameters from a file storage
save
Stores algorithm parameters in a file storage
write
Types
@type t() :: %Evision.MergeExposures{ref: reference()}
Type that represents an MergeExposures
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.MergeExposures.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.MergeExposures.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.MergeExposures.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
@spec process( t(), [Evision.Mat.maybe_mat_in()], Evision.Mat.maybe_mat_in(), Evision.Mat.maybe_mat_in() ) :: Evision.Mat.t() | {:error, String.t()}
Merges images.
Positional Arguments
self:
Evision.MergeExposures.t()
src:
[Evision.Mat]
.vector of input images
times:
Evision.Mat
.vector of exposure time values for each image
response:
Evision.Mat
.256x1 matrix with inverse camera response function for each pixel value, it should have the same number of channels as images.
Return
dst:
Evision.Mat.t()
.result image
Python prototype (for reference only):
process(src, times, response[, dst]) -> dst
@spec process( t(), [Evision.Mat.maybe_mat_in()], Evision.Mat.maybe_mat_in(), Evision.Mat.maybe_mat_in(), [{atom(), term()}, ...] | nil ) :: Evision.Mat.t() | {:error, String.t()}
Merges images.
Positional Arguments
self:
Evision.MergeExposures.t()
src:
[Evision.Mat]
.vector of input images
times:
Evision.Mat
.vector of exposure time values for each image
response:
Evision.Mat
.256x1 matrix with inverse camera response function for each pixel value, it should have the same number of channels as images.
Return
dst:
Evision.Mat.t()
.result image
Python prototype (for reference only):
process(src, times, response[, dst]) -> dst
@spec read(t(), Evision.FileNode.t()) :: t() | {:error, String.t()}
Reads algorithm parameters from a file storage
Positional Arguments
- self:
Evision.MergeExposures.t()
- func:
Evision.FileNode
Python prototype (for reference only):
read(fn) -> None
save
Positional Arguments
- self:
Evision.MergeExposures.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 write(t(), Evision.FileStorage.t()) :: t() | {:error, String.t()}
Stores algorithm parameters in a file storage
Positional Arguments
- self:
Evision.MergeExposures.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.MergeExposures.t()
- fs:
Evision.FileStorage
- name:
String
Has overloading in C++
Python prototype (for reference only):
write(fs, name) -> None