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@@ -1,5 +1,5 @@
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-# erase "models_info/models_comparisons.csv" file and write new header
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-file_path='models_info/models_comparisons_keras.csv'
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+# erase "results/models_comparisons.csv" file and write new header
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+file_path='results/models_comparisons_keras.csv'
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erased=$1
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@@ -13,28 +13,30 @@ if [ "${erased}" == "Y" ]; then
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echo 'model_name; number_of_approximations; coeff_of_determination; MSE 10 samples; MSE 1000 samples;' >> ${file_path}
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fi
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-for n in {3,4,5,6,7,8,9,10,15,20,25,30}; do
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- for row in {1,2,3,4,5}; do
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- for column in {1,2,3,4,5}; do
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-
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- # Run creation of dataset and train model
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- DATASET_NAME="data/dataset_${n}_column_${column}_row_${row}.csv"
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- MODEL_NAME="${n}_column_${column}_row_${row}_KERAS"
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- IMAGE_RECONSTRUCTED="Sponza1_${n}_${row}_${column}.png"
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-
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- if ! grep -q "${MODEL_NAME}" "${file_path}"; then
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- echo "Run computation for model ${MODEL_NAME}"
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-
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- # Already computed..
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- #python make_dataset.py --n ${n} --each_row ${row} --each_column ${column}
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- python train_model_keras.py --data ${DATASET_NAME} --model_name ${MODEL_NAME}
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-
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- # TODO : Add of reconstruct process for image ?
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- python reconstruct_keras.py --n ${n} --model_path saved_models/${MODEL_NAME}.json --scene Sponza1 --image_name ${IMAGE_RECONSTRUCTED}
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- python write_result_keras.py --n ${n} --model_path saved_models/${MODEL_NAME}.json --scene Sponza1 --image_path reconstructed/${IMAGE_RECONSTRUCTED} --data ${DATASET_NAME} --iqa mse &
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- else
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- echo "${MODEL_NAME} results already computed.."
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- fi
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+for feature in {'variances','samples'}; do
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+ for n in {3,4,5,6,7,8,9,10,15,20,25,30}; do
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+ for row in {1,2,3,4,5}; do
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+ for column in {1,2,3,4,5}; do
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+
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+ # Run creation of dataset and train model
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+ DATASET_NAME="data/dataset_${n}_${feature}_column_${column}_row_${row}.csv"
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+ MODEL_NAME="${n}_${feature}_column_${column}_row_${row}_${model}"
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+ IMAGE_RECONSTRUCTED="Sponza1_${feature}_${n}_${row}_${column}.png"
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+
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+ if ! grep -q "${MODEL_NAME}" "${file_path}"; then
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+ echo "Run computation for model ${MODEL_NAME}"
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+
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+ # Already computed..
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+ python make_dataset.py --n ${n} --feature ${feature} --each_row ${row} --each_column ${column}
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+ python train_model_keras.py --data ${DATASET_NAME} --model_name ${MODEL_NAME}
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+
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+ # TODO : Add of reconstruct process for image ?
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+ python reconstruct_keras.py --n ${n} --feature ${feature} --model_path saved_models/${MODEL_NAME}.json --scene Sponza1 --image_name ${IMAGE_RECONSTRUCTED}
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+ python write_result_keras.py --n ${n} --feature ${feature} --model_path saved_models/${MODEL_NAME}.json --scene Sponza1 --image_path reconstructed/${IMAGE_RECONSTRUCTED} --data ${DATASET_NAME} --iqa mse &
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+ else
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+ echo "${MODEL_NAME} results already computed.."
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+ fi
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+ done
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done
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done
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done
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