Examples

Each tutorial in this section corresponds to a Jupyter Notebook hosted at OpenDenoising Github Page. You may see them directly on the browser, or access the Github page and download them, so that you can execute them on your own environment.

Basic Examples

These tutorials cover the basic utilisation of OpenDenoising benchmark. Benchmark Tutorial covers how evaluation is done and Data Module Tutorial covers how to construct a Dataset Generator.

• Example: running evaluation
  • Defining Datasets
  • Defining Models
  • Metrics
    • MSE
    • SSIM
    • PSNR
    • Creating Custom Metrics
  • Visualisations
  • Evaluation
• Example: creating datasets
  • CleanDatasetGenerator Class
    • Downloading BSDS Dataset
    • Creating a CleanDatasetGenerator
    • Artificial Noising
  • FullDatasetGenerator Class
    • Creating a FullDataset from clean images

In-depth Tutorials

These tutorials cover the details of each wrapper class. It covers both implementation and training of models.

• Filtering Model tutorial
  • Using a Python-based function for Image Denoising.
  • Using a Matlab-based function for Image Denoising.
    • Providing your own Matlab functions
• Keras Model tutorial
  • Charging a model
  • From a function
  • From a file
  • Running Inference
  • Training a KerasModel
• Tensorflow Model tutorial
  • Charging a model
  • From a function
  • From a file
  • Using tf.train API
  • Using SavedModel API
  • Running inference
  • Training a TfModel
• Pytorch Model tutorial
  • Charging a model
  • Charging from a Class
  • Charging from a file
  • Running inference
  • Training a Pytorch Model
• Matconvnet Model tutorial
  • Charging a model
    • SimpleNN
      • DAGNN
• Matlab Model tutorial
  • Charging a model
  • From a file
    • From a Function
  • Inference with MatlabModel
  • Training a MatlabModel
    • Using a CleanDataset
• Onnx Model tutorial
  • Onnx Model
  • Charging a model
  • Running Inference
  • Converting models to Onnx
  • Keras to Onnx
  • Pytorch to Onnx
    • Note on Pytorch2Onnx
      • Tensorflow to Onnx
  • Matlab to Onnx

Jupyter Notebooks

• Example: Benchmark Tutorial
• Example: Dataset Tutorial
• Example: Filtering Model Tutorial
• Example: Keras Model Tutorial
• Example: Tensorflow Model Tutorial
• Example: Pytorch Model Tutorial
• Example: Matconvnet Model Tutorial
• Example: Matlab Model Tutorial
• Example: Onnx Model Tutorial