Thesis-NoiseDetection-CNN

Noise detection project

Requirements

pip install -r requirements.txt

How to use

Generate dataset (run only once time or clean data folder before) :

python generate_dataset.py

It will split scenes and generate all data you need for your neural network. You can specify the number of sub images you want in the script by modifying _NUMBER_SUBIMAGES variable or using parameter.

python generate_dataset.py --nb xxxx

There are 3 kinds of Neural Networks :

• classification_cnn_keras.py : based on cropped images and do convolution
• classification_cnn_keras_cross_validation.py : based on cropped images and do convolution. Data are randomly split for training
• classification_cnn_keras_svd.py : based on svd metrics of image

After your built your neural network in classification_cnn_keras.py, you just have to run it :

python classification_cnn_keras_svd.py --directory xxxx --output xxxxx --batch_size xx --epochs xx --img xx (or --image_width xx --img_height xx)

A config file in json is available and keeps in memory all image sizes available.

Modules

This project contains modules :

• modules/image_metrics : where all computed metrics function are developed
• modules/model_helper : contains helpful function to save or display model information and performance

All these modules will be enhanced during development of the project

How to contribute

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