Syntesis images noise detection using CNN approach

jbuisine 2c8ad26c6b Add of model using SVD of images		6 年之前
img_train	a22b32b71a First CNN model version	6 年之前
img_validation	a22b32b71a First CNN model version	6 年之前
.gitignore	2c8ad26c6b Add of model using SVD of images	6 年之前
README.md	db0864c00b Update of README file	6 年之前
RESULTS.md	2c8ad26c6b Add of model using SVD of images	6 年之前
classification_cnn_keras.py	2c8ad26c6b Add of model using SVD of images	6 年之前
classification_cnn_keras_cross_validation.py	2c8ad26c6b Add of model using SVD of images	6 年之前
classification_cnn_keras_svd.py	2c8ad26c6b Add of model using SVD of images	6 年之前
generate_dataset.py	2c8ad26c6b Add of model using SVD of images	6 年之前
requirements.txt	2c8ad26c6b Add of model using SVD of images	6 年之前

Noise detection project

Requirements

pip install -r requirements.txt

How to use

Generate dataset (run only once time) :

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_SUB_IMAGES variables.

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

python classification_cnn_keras.py

How to contribute

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

README.md

Noise detection project

Requirements

How to use

How to contribute