[−][src]Type Definition opencv::types::PtrOfDnnSuperResImpl
type PtrOfDnnSuperResImpl = Ptr<DnnSuperResImpl>;
Implementations
impl PtrOfDnnSuperResImpl[src]
pub fn as_raw_PtrOfDnnSuperResImpl(&self) -> *const c_void[src]
pub fn as_raw_mut_PtrOfDnnSuperResImpl(&mut self) -> *mut c_void[src]
Trait Implementations
impl DnnSuperResImplTrait for PtrOfDnnSuperResImpl[src]
pub fn as_raw_DnnSuperResImpl(&self) -> *const c_void[src]
pub fn as_raw_mut_DnnSuperResImpl(&mut self) -> *mut c_void[src]
pub fn read_model(&mut self, path: &str) -> Result<()>[src]
pub fn read_model_1(&mut self, weights: &str, definition: &str) -> Result<()>[src]
pub fn set_model(&mut self, algo: &str, scale: i32) -> Result<()>[src]
pub fn set_preferable_backend(&mut self, backend_id: i32) -> Result<()>[src]
pub fn set_preferable_target(&mut self, target_id: i32) -> Result<()>[src]
pub fn upsample(
&mut self,
img: &dyn ToInputArray,
result: &mut dyn ToOutputArray
) -> Result<()>[src]
&mut self,
img: &dyn ToInputArray,
result: &mut dyn ToOutputArray
) -> Result<()>
pub fn upsample_multioutput(
&mut self,
img: &dyn ToInputArray,
imgs_new: &mut Vector<Mat>,
scale_factors: &Vector<i32>,
node_names: &Vector<String>
) -> Result<()>[src]
&mut self,
img: &dyn ToInputArray,
imgs_new: &mut Vector<Mat>,
scale_factors: &Vector<i32>,
node_names: &Vector<String>
) -> Result<()>