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@@ -33,16 +33,17 @@ python generate_all_data.py --metric mscn --step 50
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- **fichiersSVD_light/\*** : all scene files information (zones of each scene, SVD descriptor files information and so on...).
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- **models/*.py** : all models developed to predict noise in image.
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-- **utils/** : contains all usefull script or modules.
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- **data/\*** : folder which will contain all *.train* & *.test* files in order to train model.
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- **saved_models/*.joblib** : all scikit learn models saved.
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-- **models_info/*.md** : all markdown files generated to get quick information about model performance and prediction.
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+- **models_info/*** : all markdown files generated to get quick information about model performance and prediction. This folder contains also **model_comparisons.csv** obtained after running runAll_maxwell.sh script.
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+- **modules/\*** : contains all modules usefull for the whole project (such as configuration variables)
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### Scripts for generating data files
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Two scripts can be used for generating data in order to fit model :
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- **generate_data_model.py** : zones are specified and stayed fixed for each scene
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- **generate_data_model_random.py** : zones are chosen randomly (just a number of zone is specified)
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+- **generate_data_model_random_maxwell.py** : zones are chosen randomly (just a number of zone is specified). Only maxwell scene are used.
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**Remark** : Note here that all python script have *--help* command.
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