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@@ -8,19 +8,18 @@ pip install -r requirements.txt
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## How to use
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-Generate dataset (run only once time) :
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+Generate dataset (run only once time or clean data folder before) :
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```
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python generate_dataset.py
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```
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It will split scenes and generate all data you need for your neural network.
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-You can specify the number of sub images you want in the script by modifying NUMBER_SUB_IMAGES variables.
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+You can specify the number of sub images you want in the script by modifying **_NUMBER_SUB_IMAGES_** variables.
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-
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-There are 3 kind of Neural Networks :
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-- classification_cnn_keras.py : based croped on images
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-- classification_cnn_keras_crossentropy.py : based croped on images which are randomly split for training
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-- classification_cnn_keras_svd.py : based on svd metrics of image
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+There are 3 kinds of Neural Networks :
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+- **classification_cnn_keras.py** : *based croped on images*
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+- **classification_cnn_keras_crossentropy.py** : *based croped on images which are randomly split for training*
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+- **classification_cnn_keras_svd.py** : *based on svd metrics of image*
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Note that the image input size need to change in you used specific size for your croped images.
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@@ -32,10 +31,10 @@ python classification_cnn_keras.py
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## Modules
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This project contains modules :
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-- modules/image_metrics : where all computed metrics function are developed
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-- modules/model_helper : contains helpful function to save or display model information and performance
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+- **modules/image_metrics** : *where all computed metrics function are developed*
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+- **modules/model_helper** : *contains helpful function to save or display model information and performance*
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-All these modules will grow during developement of the project
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+All these modules will be enhanced during development of the project
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## How to contribute
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