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

Jerome Buisine 5911c7da90 New models creation 2 years ago
saved_models 5911c7da90 New models creation 2 years ago
.gitignore 5911c7da90 New models creation 2 years ago
LICENCE e1a8d9154f Add of script generator 2 years ago
README.md e1a8d9154f Add of script generator 2 years ago
ensemble_model_train.py 5911c7da90 New models creation 2 years ago
generateAndTrainSVM.sh 5911c7da90 New models creation 2 years ago
generateAndTrainSVM_random.sh 5911c7da90 New models creation 2 years ago
generate_data_svm.py 5911c7da90 New models creation 2 years ago
generate_data_svm_random.py 5911c7da90 New models creation 2 years ago
predictSVM.sh 5911c7da90 New models creation 2 years ago
predictSVM_random.sh 5911c7da90 New models creation 2 years ago
prediction.py 5911c7da90 New models creation 2 years ago
requirements.txt 5911c7da90 New models creation 2 years ago
svm_model_train.py 5911c7da90 New models creation 2 years ago
testModelByScene.sh 5911c7da90 New models creation 2 years ago

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.