Struct opencv::dnn::SegmentationModel
source · pub struct SegmentationModel { /* private fields */ }
Expand description
This class represents high-level API for segmentation models
SegmentationModel allows to set params for preprocessing input image. SegmentationModel creates net from file with trained weights and config, sets preprocessing input, runs forward pass and returns the class prediction for each pixel.
Implementations§
source§impl SegmentationModel
impl SegmentationModel
sourcepub fn new_def(model: &str) -> Result<SegmentationModel>
pub fn new_def(model: &str) -> Result<SegmentationModel>
Create segmentation model from network represented in one of the supported formats. An order of @p model and @p config arguments does not matter.
§Parameters
- model: Binary file contains trained weights.
- config: Text file contains network configuration.
§Note
This alternative version of [new] function uses the following default values for its arguments:
- config: “”
sourcepub fn new_1(network: &impl NetTraitConst) -> Result<SegmentationModel>
pub fn new_1(network: &impl NetTraitConst) -> Result<SegmentationModel>
Trait Implementations§
source§impl Boxed for SegmentationModel
impl Boxed for SegmentationModel
source§unsafe fn from_raw(
ptr: <SegmentationModel as OpenCVFromExtern>::ExternReceive
) -> Self
unsafe fn from_raw( ptr: <SegmentationModel as OpenCVFromExtern>::ExternReceive ) -> Self
Wrap the specified raw pointer Read more
source§fn into_raw(
self
) -> <SegmentationModel as OpenCVTypeExternContainer>::ExternSendMut
fn into_raw( self ) -> <SegmentationModel as OpenCVTypeExternContainer>::ExternSendMut
Return the underlying raw pointer while consuming this wrapper. Read more
source§fn as_raw(&self) -> <SegmentationModel as OpenCVTypeExternContainer>::ExternSend
fn as_raw(&self) -> <SegmentationModel as OpenCVTypeExternContainer>::ExternSend
Return the underlying raw pointer. Read more
source§fn as_raw_mut(
&mut self
) -> <SegmentationModel as OpenCVTypeExternContainer>::ExternSendMut
fn as_raw_mut( &mut self ) -> <SegmentationModel as OpenCVTypeExternContainer>::ExternSendMut
Return the underlying mutable raw pointer Read more
source§impl Clone for SegmentationModel
impl Clone for SegmentationModel
source§impl Debug for SegmentationModel
impl Debug for SegmentationModel
source§impl Drop for SegmentationModel
impl Drop for SegmentationModel
source§impl From<SegmentationModel> for Model
impl From<SegmentationModel> for Model
source§fn from(s: SegmentationModel) -> Self
fn from(s: SegmentationModel) -> Self
Converts to this type from the input type.
source§impl ModelTrait for SegmentationModel
impl ModelTrait for SegmentationModel
fn as_raw_mut_Model(&mut self) -> *mut c_void
fn set(&mut self, unnamed: &impl ModelTraitConst)
fn set_1(&mut self, unnamed: Model)
source§fn set_input_size_1(&mut self, width: i32, height: i32) -> Result<Model>
fn set_input_size_1(&mut self, width: i32, height: i32) -> Result<Model>
Set input size for frame. Read more
source§fn set_input_mean(&mut self, mean: Scalar) -> Result<Model>
fn set_input_mean(&mut self, mean: Scalar) -> Result<Model>
Set mean value for frame. Read more
source§fn set_input_scale(&mut self, scale: Scalar) -> Result<Model>
fn set_input_scale(&mut self, scale: Scalar) -> Result<Model>
Set scalefactor value for frame. Read more
source§fn set_input_swap_rb(&mut self, swap_rb: bool) -> Result<Model>
fn set_input_swap_rb(&mut self, swap_rb: bool) -> Result<Model>
Set flag swapRB for frame. Read more
source§fn set_input_params(
&mut self,
scale: f64,
size: Size,
mean: Scalar,
swap_rb: bool,
crop: bool
) -> Result<()>
fn set_input_params( &mut self, scale: f64, size: Size, mean: Scalar, swap_rb: bool, crop: bool ) -> Result<()>
Set preprocessing parameters for frame. Read more
source§fn set_input_params_def(&mut self) -> Result<()>
fn set_input_params_def(&mut self) -> Result<()>
Set preprocessing parameters for frame. Read more
fn get_network__1(&mut self) -> Result<Net>
source§impl ModelTraitConst for SegmentationModel
impl ModelTraitConst for SegmentationModel
fn as_raw_Model(&self) -> *const c_void
source§fn predict(
&self,
frame: &impl ToInputArray,
outs: &mut impl ToOutputArray
) -> Result<()>
fn predict( &self, frame: &impl ToInputArray, outs: &mut impl ToOutputArray ) -> Result<()>
Given the @p input frame, create input blob, run net and return the output @p blobs. Read more
fn get_network_(&self) -> Result<Net>
source§impl SegmentationModelTrait for SegmentationModel
impl SegmentationModelTrait for SegmentationModel
fn as_raw_mut_SegmentationModel(&mut self) -> *mut c_void
source§fn segment(
&mut self,
frame: &impl ToInputArray,
mask: &mut impl ToOutputArray
) -> Result<()>
fn segment( &mut self, frame: &impl ToInputArray, mask: &mut impl ToOutputArray ) -> Result<()>
Given the @p input frame, create input blob, run net Read more
source§impl SegmentationModelTraitConst for SegmentationModel
impl SegmentationModelTraitConst for SegmentationModel
fn as_raw_SegmentationModel(&self) -> *const c_void
impl Send for SegmentationModel
Auto Trait Implementations§
impl Freeze for SegmentationModel
impl RefUnwindSafe for SegmentationModel
impl !Sync for SegmentationModel
impl Unpin for SegmentationModel
impl UnwindSafe for SegmentationModel
Blanket Implementations§
source§impl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere
T: ?Sized,
source§fn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more
source§impl<Mat> ModifyInplace for Matwhere
Mat: Boxed,
impl<Mat> ModifyInplace for Matwhere
Mat: Boxed,
source§unsafe fn modify_inplace<Res>(
&mut self,
f: impl FnOnce(&Mat, &mut Mat) -> Res
) -> Res
unsafe fn modify_inplace<Res>( &mut self, f: impl FnOnce(&Mat, &mut Mat) -> Res ) -> Res
Helper function to call OpenCV functions that allow in-place modification of a
Mat
or another similar object. By passing
a mutable reference to the Mat
to this function your closure will get called with the read reference and a write references
to the same Mat
. This is of course unsafe as it breaks the Rust aliasing rules, but it might be useful for some performance
sensitive operations. One example of an OpenCV function that allows such in-place modification is imgproc::threshold
. Read more