pub struct ClassificationModel { /* private fields */ }
Expand description

This class represents high-level API for classification models.

ClassificationModel allows to set params for preprocessing input image. ClassificationModel creates net from file with trained weights and config, sets preprocessing input, runs forward pass and return top-1 prediction.

Implementations

Create classification 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.
C++ default parameters
  • config: “”

Create model from deep learning network.

Parameters
  • network: Net object.

Trait Implementations

Wrap the specified raw pointer Read more
Return an the underlying raw pointer while consuming this wrapper. Read more
Return the underlying raw pointer. Read more
Return the underlying mutable raw pointer Read more
source

fn set_enable_softmax_post_processing(
    &mut self,
    enable: bool
) -> Result<ClassificationModel>

Set enable/disable softmax post processing option. Read more
Given the @p input frame, create input blob, run net and return top-1 prediction. Read more
source

fn get_enable_softmax_post_processing(&self) -> Result<bool>

Get enable/disable softmax post processing option. Read more
Executes the destructor for this type. Read more
Converts to this type from the input type.
Set input size for frame. Read more
Set input size for frame. Read more
Set mean value for frame. Read more
Set scalefactor value for frame. Read more
Set flag crop for frame. Read more
Set flag swapRB for frame. Read more
Set preprocessing parameters for frame. Read more
See also Read more
See also Read more
Given the @p input frame, create input blob, run net and return the output @p blobs. Read more

Auto Trait Implementations

Blanket Implementations

Gets the TypeId of self. Read more
Immutably borrows from an owned value. Read more
Mutably borrows from an owned value. Read more

Returns the argument unchanged.

Calls U::from(self).

That is, this conversion is whatever the implementation of From<T> for U chooses to do.

The type returned in the event of a conversion error.
Performs the conversion.
The type returned in the event of a conversion error.
Performs the conversion.