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Syntesis images noise detection using CNN approach

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README.md

Noise detection project

Requirements

pip install -r requirements.txt

How to use

Generate reconstructed data from specific method of reconstruction (run only once time or clean data folder before):

python generate_reconstructed_data.py -h

Generate custom dataset from one reconstructed method or multiples (implemented later)

python generate_dataset.py -h

Reconstruction parameter (--params)

List of expected parameter by reconstruction method:

  • svd_reconstruction: Singular Values Decomposition
    • Param definition: interval data used for reconstruction (begin, end)
    • Example: "100, 200"
  • ipca_reconstruction: Iterative Principal Component Analysis
    • Param definition: number of components used for compression and batch size
    • Example: "50, 32"
  • fast_ica_reconstruction: Fast Iterative Component Analysis
    • Param definition: number of components used for compression
    • Example: "50"

Modules

This project contains modules:

  • modules/utils/config.py: Store all configuration information about the project and dataset information
  • modules/utils/data.py: Usefull methods used for dataset

All these modules will be enhanced during development of the project

License

MIT