pub trait ConvolutionTrait: AlgorithmTrait + ConvolutionTraitConst {
// Required method
fn as_raw_mut_Convolution(&mut self) -> *mut c_void;
// Provided methods
fn convolve(
&mut self,
image: &impl ToInputArray,
templ: &impl ToInputArray,
result: &mut impl ToOutputArray,
ccorr: bool,
stream: &mut impl StreamTrait,
) -> Result<()> { ... }
fn convolve_def(
&mut self,
image: &impl ToInputArray,
templ: &impl ToInputArray,
result: &mut impl ToOutputArray,
) -> Result<()> { ... }
}
Expand description
Mutable methods for crate::cudaarithm::Convolution
Required Methods§
fn as_raw_mut_Convolution(&mut self) -> *mut c_void
Provided Methods§
Sourcefn convolve(
&mut self,
image: &impl ToInputArray,
templ: &impl ToInputArray,
result: &mut impl ToOutputArray,
ccorr: bool,
stream: &mut impl StreamTrait,
) -> Result<()>
fn convolve( &mut self, image: &impl ToInputArray, templ: &impl ToInputArray, result: &mut impl ToOutputArray, ccorr: bool, stream: &mut impl StreamTrait, ) -> Result<()>
Computes a convolution (or cross-correlation) of two images.
§Parameters
- image: Source image. Only CV_32FC1 images are supported for now.
- templ: Template image. The size is not greater than the image size. The type is the same as image .
- result: Result image. If image is W x H and templ is w x h, then result must be W-w+1 x H-h+1.
- ccorr: Flags to evaluate cross-correlation instead of convolution.
- stream: Stream for the asynchronous version.
§C++ default parameters
- ccorr: false
- stream: Stream::Null()
Sourcefn convolve_def(
&mut self,
image: &impl ToInputArray,
templ: &impl ToInputArray,
result: &mut impl ToOutputArray,
) -> Result<()>
fn convolve_def( &mut self, image: &impl ToInputArray, templ: &impl ToInputArray, result: &mut impl ToOutputArray, ) -> Result<()>
Computes a convolution (or cross-correlation) of two images.
§Parameters
- image: Source image. Only CV_32FC1 images are supported for now.
- templ: Template image. The size is not greater than the image size. The type is the same as image .
- result: Result image. If image is W x H and templ is w x h, then result must be W-w+1 x H-h+1.
- ccorr: Flags to evaluate cross-correlation instead of convolution.
- stream: Stream for the asynchronous version.
§Note
This alternative version of ConvolutionTrait::convolve function uses the following default values for its arguments:
- ccorr: false
- stream: Stream::Null()
Dyn Compatibility§
This trait is not dyn compatible.
In older versions of Rust, dyn compatibility was called "object safety", so this trait is not object safe.