View Source Evision.CUDA.TemplateMatching (Evision v0.1.28)
Link to this section Summary
Functions
Clears the algorithm state
Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read
getDefaultName
Variant 1:
Computes a proximity map for a raster template and an image where the template is searched for.
Variant 1:
Computes a proximity map for a raster template and an image where the template is searched for.
Reads algorithm parameters from a file storage
save
Stores algorithm parameters in a file storage
write
Link to this section Types
@type t() :: %Evision.CUDA.TemplateMatching{ref: reference()}
Type that represents an CUDA.TemplateMatching
struct.
ref.
reference()
The underlying erlang resource variable.
Link to this section Functions
Clears the algorithm state
Positional Arguments
- self:
Evision.CUDA.TemplateMatching.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.CUDA.TemplateMatching.t()
Return
- retval:
bool
Python prototype (for reference only):
empty() -> retval
getDefaultName
Positional Arguments
- self:
Evision.CUDA.TemplateMatching.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 match(t(), Evision.Mat.maybe_mat_in(), Evision.Mat.maybe_mat_in()) :: Evision.Mat.t() | {:error, String.t()}
@spec match(t(), Evision.CUDA.GpuMat.t(), Evision.CUDA.GpuMat.t()) :: Evision.CUDA.GpuMat.t() | {:error, String.t()}
Variant 1:
Computes a proximity map for a raster template and an image where the template is searched for.
Positional Arguments
self:
Evision.CUDA.TemplateMatching.t()
image:
Evision.Mat.t()
.Source image.
templ:
Evision.Mat.t()
.Template image with the size and type the same as image .
Keyword Arguments
stream:
Evision.CUDA.Stream.t()
.Stream for the asynchronous version.
Return
result:
Evision.Mat.t()
.Map containing comparison results ( CV_32FC1 ). If image is W x H and templ is w x h, then result must be W-w+1 x H-h+1.
Python prototype (for reference only):
match(image, templ[, result[, stream]]) -> result
Variant 2:
Computes a proximity map for a raster template and an image where the template is searched for.
Positional Arguments
self:
Evision.CUDA.TemplateMatching.t()
image:
Evision.CUDA.GpuMat.t()
.Source image.
templ:
Evision.CUDA.GpuMat.t()
.Template image with the size and type the same as image .
Keyword Arguments
stream:
Evision.CUDA.Stream.t()
.Stream for the asynchronous version.
Return
result:
Evision.CUDA.GpuMat.t()
.Map containing comparison results ( CV_32FC1 ). If image is W x H and templ is w x h, then result must be W-w+1 x H-h+1.
Python prototype (for reference only):
match(image, templ[, result[, stream]]) -> result
@spec match( t(), Evision.Mat.maybe_mat_in(), Evision.Mat.maybe_mat_in(), [{atom(), term()}, ...] | nil ) :: Evision.Mat.t() | {:error, String.t()}
@spec match( t(), Evision.CUDA.GpuMat.t(), Evision.CUDA.GpuMat.t(), [{atom(), term()}, ...] | nil ) :: Evision.CUDA.GpuMat.t() | {:error, String.t()}
Variant 1:
Computes a proximity map for a raster template and an image where the template is searched for.
Positional Arguments
self:
Evision.CUDA.TemplateMatching.t()
image:
Evision.Mat.t()
.Source image.
templ:
Evision.Mat.t()
.Template image with the size and type the same as image .
Keyword Arguments
stream:
Evision.CUDA.Stream.t()
.Stream for the asynchronous version.
Return
result:
Evision.Mat.t()
.Map containing comparison results ( CV_32FC1 ). If image is W x H and templ is w x h, then result must be W-w+1 x H-h+1.
Python prototype (for reference only):
match(image, templ[, result[, stream]]) -> result
Variant 2:
Computes a proximity map for a raster template and an image where the template is searched for.
Positional Arguments
self:
Evision.CUDA.TemplateMatching.t()
image:
Evision.CUDA.GpuMat.t()
.Source image.
templ:
Evision.CUDA.GpuMat.t()
.Template image with the size and type the same as image .
Keyword Arguments
stream:
Evision.CUDA.Stream.t()
.Stream for the asynchronous version.
Return
result:
Evision.CUDA.GpuMat.t()
.Map containing comparison results ( CV_32FC1 ). If image is W x H and templ is w x h, then result must be W-w+1 x H-h+1.
Python prototype (for reference only):
match(image, templ[, result[, stream]]) -> result
@spec read(t(), Evision.FileNode.t()) :: t() | {:error, String.t()}
Reads algorithm parameters from a file storage
Positional Arguments
- self:
Evision.CUDA.TemplateMatching.t()
- fn_:
Evision.FileNode.t()
Python prototype (for reference only):
read(fn_) -> None
save
Positional Arguments
- self:
Evision.CUDA.TemplateMatching.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.CUDA.TemplateMatching.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.CUDA.TemplateMatching.t()
- fs:
Evision.FileStorage.t()
- name:
String
Has overloading in C++
Python prototype (for reference only):
write(fs, name) -> None