Syntesis images noise detection using CNN approach

Jérôme BUISINE 19d5f63345 Update of project and script		5 years ago
modules	19d5f63345 Update of project and script	5 years ago
.gitignore	19d5f63345 Update of project and script	5 years ago
LICENSE	f80a4942e7 Creation of dataset file script added	5 years ago
README.md	19d5f63345 Update of project and script	5 years ago
RESULTS.md	2c8ad26c6b Add of model using SVD of images	6 years ago
generate_dataset.py	8bd0bd342b Add of CNN model and run script	5 years ago
generate_reconstructed_data.py	f80a4942e7 Creation of dataset file script added	5 years ago
preprocessing_functions.py	f80a4942e7 Creation of dataset file script added	5 years ago
requirements.txt	153ef98eae Update code with use of IPFML package	6 years ago
run.sh	19d5f63345 Update of project and script	5 years ago
train_model.py	19d5f63345 Update of project and script	5 years ago

Noise detection project

Requirements

pip install -r requirements.txt

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

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 data generation

All these modules will be enhanced during development of the project