run_maxwell_simulation_custom_filters.sh 2.3 KB

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  1. #! bin/bash
  2. # file which contains model names we want to use for simulation
  3. simulate_models="simulate_models.csv"
  4. # selection of four scenes (only maxwell)
  5. scenes="A, D, G, H"
  6. VECTOR_SIZE=200
  7. # selection of four scenes (only maxwell)
  8. scenes="A, D, G, H"
  9. for size in {"4","8","16","26","32","40"}; do
  10. # for feature in {"lab","mscn","low_bits_2","low_bits_3","low_bits_4","low_bits_5","low_bits_6","low_bits_4_shifted_2","ica_diff","svd_trunc_diff","ipca_diff","svd_reconstruct"}; do
  11. for feature in {"highest_sv_std_filters_full","lowest_sv_std_filters_full"}; do
  12. for nb_zones in {4,6,8,10,12}; do
  13. for mode in {"svd","svdn","svdne"}; do
  14. for model in {"svm_model","ensemble_model","ensemble_model_v2"}; do
  15. FILENAME="data/${model}_N${size}_B0_E${size}_nb_zones_${nb_zones}_${feature}_${mode}"
  16. MODEL_NAME="${model}_N${size}_B0_E${size}_nb_zones_${nb_zones}_${feature}_${mode}"
  17. CUSTOM_MIN_MAX_FILENAME="N${size}_B0_E${size}_nb_zones_${nb_zones}_${feature}_${mode}_min_max"
  18. echo $MODEL_NAME
  19. # only compute if necessary (perhaps server will fall.. Just in case)
  20. if grep -q "${MODEL_NAME}" "${simulate_models}"; then
  21. echo "${MODEL_NAME} results already generated..."
  22. else
  23. # Use of already generated model
  24. # python generate/generate_data_model_random.py --output ${FILENAME} --interval "0,${size}" --kind ${mode} --feature ${feature} --scenes "${scenes}" --nb_zones "${nb_zones}" --percent 1 --renderer "maxwell" --step 40 --random 1 --custom ${CUSTOM_MIN_MAX_FILENAME}
  25. # python train_model.py --data ${FILENAME} --output ${MODEL_NAME} --choice ${model}
  26. python prediction/predict_seuil_expe_maxwell_curve.py --interval "0,${size}" --model "saved_models/${MODEL_NAME}.joblib" --mode "${mode}" --feature ${feature} --limit_detection '2' --custom ${CUSTOM_MIN_MAX_FILENAME}
  27. python others/save_model_result_in_md_maxwell.py --interval "0,${size}" --model "saved_models/${MODEL_NAME}.joblib" --mode "${mode}" --feature ${feature}
  28. fi
  29. done
  30. done
  31. done
  32. done
  33. done