runAll_maxwell_keras.sh 2.2 KB

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  1. #! bin/bash
  2. # erase "models_info/models_comparisons.csv" file and write new header
  3. file_path='models_info/models_comparisons.csv'
  4. erased=$1
  5. if [ "${erased}" == "Y" ]; then
  6. echo "Previous data file erased..."
  7. rm ${file_path}
  8. mkdir -p models_info
  9. touch ${file_path}
  10. # add of header
  11. echo 'model_name; vector_size; start; end; nb_zones; metric; mode; tran_size; val_size; test_size; train_pct_size; val_pct_size; test_pct_size; train_acc; val_acc; test_acc; all_acc; F1_train; recall_train; roc_auc_train; F1_val; recall_val; roc_auc_val; F1_test; recall_test; roc_auc_test; F1_all; recall_all; roc_auc_all;' >> ${file_path}
  12. fi
  13. start_index=0
  14. end_index=24
  15. # selection of four scenes (only maxwell)
  16. scenes="A, D, G, H"
  17. declare -A metrics_size
  18. metrics_size=( ["sub_blocks_stats"]="24" ["sub_blocks_stats_reduced"]="20" ["sub_blocks_area"]="16" ["sub_blocks_area_normed"]="20")
  19. for metric in {"sub_blocks_stats","sub_blocks_stats_reduced","sub_blocks_area","sub_blocks_area_normed"}; do
  20. for nb_zones in {4,6,8,10,12}; do
  21. for mode in {"svd","svdn","svdne"}; do
  22. end_index=${metrics_size[${metric}]}
  23. FILENAME="data/deep_keras_N${end_index}_B${start_index}_E${end_index}_nb_zones_${nb_zones}_${metric}_${mode}"
  24. MODEL_NAME="deep_keras_N${end_index}_B${start_index}_E${end_index}_nb_zones_${nb_zones}_${metric}_${mode}"
  25. echo $FILENAME
  26. # only compute if necessary (perhaps server will fall.. Just in case)
  27. if grep -q "${MODEL_NAME}" "${file_path}"; then
  28. echo "${MODEL_NAME} results already generated..."
  29. else
  30. echo "test"
  31. #python generate_data_model_random.py --output ${FILENAME} --interval "${start_index},${end_index}" --kind ${mode} --metric ${metric} --scenes "${scenes}" --nb_zones "${nb_zones}" --percent 1 --renderer "maxwell" --step 10 --random 1
  32. #python deep_network_keras_svd.py --data ${FILENAME} --output ${MODEL_NAME} --size ${end_index}
  33. #python save_model_result_in_md_maxwell.py --interval "${start_index},${end_index}" --model "saved_models/${MODEL_NAME}.json" --mode "${mode}" --metric ${metric}
  34. fi
  35. done
  36. done
  37. done