Enum ImageManipulation

pub enum ImageManipulation {
    SuperResolution,
    FastNeuralStyleTransfer(FastNeuralStyleTransferStyle),
}

Image Manipulation

Image manipulation models use neural networks to transform input images to modified output images. Some popular models in this category involve style transfer or enhancing images by increasing resolution.

Source: https://github.com/onnx/models#image_manipulation

Variants

SuperResolution

Super Resolution

The Super Resolution machine learning model sharpens and upscales the input image to refine the details and improve quality.

Source: https://github.com/onnx/models/tree/master/vision/super_resolution/sub_pixel_cnn_2016

Variant downloaded: ONNX Version 1.5 with Opset Version 10.

FastNeuralStyleTransfer(FastNeuralStyleTransferStyle)

Fast Neural Style Transfer

This artistic style transfer model mixes the content of an image with the style of another image. Examples of the styles can be seen in this PyTorch example.

Source: https://github.com/onnx/models/tree/master/vision/style_transfer/fast_neural_style

Trait Implementations

impl Clone for ImageManipulation

fn clone(&self) -> ImageManipulation

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for ImageManipulation

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl From<ImageManipulation> for AvailableOnnxModel

fn from(model: ImageManipulation) -> Self

Converts to this type from the input type.