Mussel prediction from MBES point cloud
cut -d ";" -f 1,2,3,5 data/mussels/merge_of_raw_data.csv | sort -t";" -k4 -r > mussels_sorted_by_date_epsg-8254.csv
cat mussels_sorted_by_date_epsg-8254.csv | sort -t";" -k4 -r | less
sed -i '1,4d' mussels_sorted_by_date_epsg-8254.csv
cut -d ";" -f 1-3 mussels_sorted_by_date_epsg-8254.csv | sort -k1,1 -k2,2 --unique > mussels_epsg-8254.csv
python3 src/train_model.py data/train_data/training_data.txt
The utility soundings_generate_features is from Benthinc_classifier : https://github.com/CIDCO-dev/BenthicClassifier
cat MBES_FILE.txt | ./soundings_generate_features 10 > outputFilePath.hackel
python3 apply_model.py trained_mussel_regression.model FILE.hackel > outputFilePath_result.csv