Synthesis Images noise detection metrics developed including all approaches using SVD or others compression methods

Jerome Buisine ac0ea0fcc6 Update of gitignore file 5 lat temu
fichiersSVD 83c803a4ba Add of csv data files 5 lat temu
.gitignore ac0ea0fcc6 Update of gitignore file 5 lat temu
LICENCE e1a8d9154f Add of script generator 5 lat temu
README.md e1a8d9154f Add of script generator 5 lat temu
ensemble_model_train.py 83c803a4ba Add of csv data files 5 lat temu
generateAndTrainSVM.sh 83c803a4ba Add of csv data files 5 lat temu
generateAndTrainSVM_random.sh 83c803a4ba Add of csv data files 5 lat temu
generate_data_svm.py ca6eb89ad3 Add of ensemble model 5 lat temu
generate_data_svm_random.py 5911c7da90 New models creation 5 lat temu
predictSVM.sh 5911c7da90 New models creation 5 lat temu
predictSVM_random.sh 5911c7da90 New models creation 5 lat temu
prediction.py ca6eb89ad3 Add of ensemble model 5 lat temu
requirements.txt 5911c7da90 New models creation 5 lat temu
svm_model_train.py 83c803a4ba Add of csv data files 5 lat temu
testModelByScene.sh 83c803a4ba Add of csv data files 5 lat temu

README.md

Noise detection using SVM

Requirements

pip install -r requirements.txt

How to use

Generate data .csv files (run only once time or clean data folder before) :

python generate_data.py

Models

Documentation will be implemented later...

How to contribute

This git project uses git-flow implementation. You are free to contribute to it.