[−][src]Trait opencv::dnn::ModelTrait

pub trait ModelTrait {
    pub fn as_raw_Model(&self) -> *const c_void;
    pub fn as_raw_mut_Model(&mut self) -> *mut c_void;

    pub fn set_input_size(&mut self, size: Size) -> Result<Model> { ... }
    pub fn set_input_size_1(&mut self, width: i32, height: i32) -> Result<Model> { ... }
    pub fn set_input_mean(&mut self, mean: Scalar) -> Result<Model> { ... }
    pub fn set_input_scale(&mut self, scale: f64) -> Result<Model> { ... }
    pub fn set_input_crop(&mut self, crop: bool) -> Result<Model> { ... }
    pub fn set_input_swap_rb(&mut self, swap_rb: bool) -> Result<Model> { ... }
    pub fn set_input_params(
        &mut self, 
        scale: f64, 
        size: Size, 
        mean: Scalar, 
        swap_rb: bool, 
        crop: bool
    ) -> Result<()> { ... }
    pub fn predict(
        &self, 
        frame: &dyn ToInputArray, 
        outs: &mut dyn ToOutputArray
    ) -> Result<()> { ... }
    pub fn set_preferable_backend(
        &mut self, 
        backend_id: Backend
    ) -> Result<Model> { ... }
    pub fn set_preferable_target(&mut self, target_id: Target) -> Result<Model> { ... }
    pub fn get_network_(&self) -> Result<Net> { ... }
    pub fn get_network__1(&mut self) -> Result<Net> { ... }
}

This class is presented high-level API for neural networks.

Model allows to set params for preprocessing input image. Model creates net from file with trained weights and config, sets preprocessing input and runs forward pass.

Required methods

`pub fn as_raw_Model(&self) -> *const c_void`[src]

`pub fn as_raw_mut_Model(&mut self) -> *mut c_void`[src]

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Provided methods

`pub fn set_input_size(&mut self, size: Size) -> Result<Model>`[src]

Set input size for frame.

Parameters

size: New input size.

Note: If shape of the new blob less than 0, then frame size not change.

`pub fn set_input_size_1(&mut self, width: i32, height: i32) -> Result<Model>`[src]

Set input size for frame.

Parameters

size: New input size.

Note: If shape of the new blob less than 0, then frame size not change.

Overloaded parameters

width: New input width.
height: New input height.

`pub fn set_input_mean(&mut self, mean: Scalar) -> Result<Model>`[src]

Set mean value for frame.

Parameters

mean: Scalar with mean values which are subtracted from channels.

`pub fn set_input_scale(&mut self, scale: f64) -> Result<Model>`[src]

Set scalefactor value for frame.

Parameters

scale: Multiplier for frame values.

`pub fn set_input_crop(&mut self, crop: bool) -> Result<Model>`[src]

Set flag crop for frame.

Parameters

crop: Flag which indicates whether image will be cropped after resize or not.

`pub fn set_input_swap_rb(&mut self, swap_rb: bool) -> Result<Model>`[src]

Set flag swapRB for frame.

Parameters

swapRB: Flag which indicates that swap first and last channels.

`pub fn set_input_params( &mut self, scale: f64, size: Size, mean: Scalar, swap_rb: bool, crop: bool ) -> Result<()>`[src]

Set preprocessing parameters for frame.

Parameters

size: New input size.
mean: Scalar with mean values which are subtracted from channels.
scale: Multiplier for frame values.
swapRB: Flag which indicates that swap first and last channels.
crop: Flag which indicates whether image will be cropped after resize or not. blob(n, c, y, x) = scale * resize( frame(y, x, c) ) - mean(c) )