Syntesis images noise detection using CNN approach
|
5 anos atrás | |
---|---|---|
modules | 5 anos atrás | |
.gitignore | 5 anos atrás | |
LICENSE | 5 anos atrás | |
README.md | 5 anos atrás | |
generate_dataset.py | 5 anos atrás | |
generate_dataset_3D.py | 5 anos atrás | |
generate_reconstructed_data.py | 5 anos atrás | |
predict_noisy_image_svd.py | 5 anos atrás | |
predict_seuil_expe_maxwell_curve.py | 5 anos atrás | |
requirements.txt | 6 anos atrás | |
run.sh | 5 anos atrás | |
run_maxwell_simulation_custom.sh | 5 anos atrás | |
run_test.sh | 5 anos atrás | |
train_model.py | 5 anos atrás | |
transformation_functions.py | 5 anos atrás |
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
List of expected parameter by reconstruction method:
This project contains modules:
All these modules will be enhanced during development of the project