final_run.sh

#!/bin/bash

# command to run: nohup bash final_run.sh &> final_no_hup.out &
# check for changes: iron measure, class number, epoch number, batch normalization, augmentation of training images, create attention maps


export PYTHONUNBUFFERED=true
# #### 3 CLASS BATCH MODEL Specific dataset
# echo "full data"
# for i in $(seq 47 51);
# do
#     echo "full: hb 3 batch $i"
#     CUDA_VISIBLE_DEVICES=0,1,2,3,4 python3 final_main.py --iron hb_concent --class_nb 3 --eps 100 --batch batch --no-augment --create_maps --seed $i --label_path swi_brain_vol_info_cognition.csv >> log_final_hb_concent_batch_100eps_3class_full_s$i.txt
#     cd results
#     CUDA_VISIBLE_DEVICES=0,1,2,3,4 python3 image_averaging.py --iron hb_concent --class_nb 3 --eps 100 --batch batch --no-augment --create_maps --seed $i --label_path swi_brain_vol_info_cognition.csv --group full >> log_final_hb_concent_batch_100eps_3class_full_s$i.txt
#     cd ..
# done

# echo "male data"
# for i in $(seq 47 51);
# do
#     echo "male: hb 3 batch $i"
#     CUDA_VISIBLE_DEVICES=0,1,2,3,4 python3 final_main.py --iron hb_concent --class_nb 3 --eps 100 --batch batch --no-augment --create_maps --seed $i --label_path swi_brain_vol_male_info.csv >> log_final_hb_concent_batch_100eps_3class_male_s$i.txt
#     cd results
#     CUDA_VISIBLE_DEVICES=0,1,2,3,4 python3 image_averaging.py --iron hb_concent --class_nb 3 --eps 100 --batch batch --no-augment --create_maps --seed $i --label_path swi_brain_vol_male_info.csv --group male >> log_final_hb_concent_batch_100eps_3class_male_s$i.txt
#     cd ..
# done

# echo "female data"
# for i in $(seq 47 51);
# do
#     echo "female: hb 3 batch $i"
#     CUDA_VISIBLE_DEVICES=1,2,3,4,5 python3 final_main.py --iron hb_concent --class_nb 3 --eps 100 --batch batch --no-augment --create_maps --seed $i --label_path swi_brain_vol_female_info.csv >> log_final_hb_concent_batch_100eps_3class_female_s$i.txt
#     cd results
#     CUDA_VISIBLE_DEVICES=0,1,2,3,4 python3 image_averaging.py --iron hb_concent --class_nb 3 --eps 100 --batch batch --no-augment --create_maps --seed $i --label_path swi_brain_vol_female_info.csv --group female >> log_final_hb_concent_batch_100eps_3class_female_s$i.txt#
#     cd ..
# done

# echo "halfed data"
# for i in $(seq 47 51);
# do
#     echo "halfed: hb 3 batch $i"
#     CUDA_VISIBLE_DEVICES=0,1,4,5,6 python3 final_main.py --iron hb_concent --class_nb 3 --eps 100 --batch batch --no-augment --create_maps --seed $i --label_path swi_brain_vol_halfed_info.csv >> log_final_hb_concent_batch_100eps_3class_half_s$i.txt
#     cd results
#     CUDA_VISIBLE_DEVICES=0,1,2,3,4 python3 image_averaging.py --iron hb_concent --class_nb 3 --eps 100 --batch batch --no-augment --create_maps --seed $i --label_path swi_brain_vol_halfed_info.csv --group halfed >> log_final_hb_concent_batch_100eps_3class_half_s$i.txt
#     cd ..
# done

#### 10 CLASS BATCH MODEL MAPS
#echo "hb 10 batch maps"
CUDA_VISIBLE_DEVICES=0,1,2,3,4 python3 final_main.py --iron hb_concent --class_nb 10 --eps 100 --batch batch --no-augment --create_maps --seed 1337 --label_path swi_brain_vol_info_cognition.csv >> log_final_hb_concent_batch_100eps_10class_s1337.txt
cd results
CUDA_VISIBLE_DEVICES=0,1,2,3,4 python3 image_averaging.py --iron hb_concent --class_nb 10 --eps 100 --batch batch --no-augment --create_maps --seed 1337 --label_path swi_brain_vol_info_cognition.csv --group full >> log_final_hb_concent_batch_100eps_3class_full_s1337.txt
cd ..

#### 20 CLASS BATCH MODEL MAPS
#echo "hb 20 batch seed 42"
#CUDA_VISIBLE_DEVICES=5,6,7,8,9 python3 final_main.py --iron hb_concent --class_nb 20 --eps 200 --batch batch --no-augment --no-create_maps --seed 42 >> log_final_hb_concent_batch_100eps_20class_seed42.txt

#### 35 CLASS BATCH MODEL MAPS
#for i in {1337..1347}
#do
#	echo "hb 35 batch seed $i"
#	CUDA_VISIBLE_DEVICES=5,6,7,8,9 python3 final_main.py --iron hb_concent --class_nb 35 --eps 200 --batch batch --no-augment --no-create_maps --seed ${i} >> log_final_hb_concent_batch_200eps_35class_seed${i}.txt