Update the repo with the last classification

script/lbp_classification_codebook_final/script_seri_lbp_flatten_aligned_cropped_global_random

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+#!/bin/bash
+
+# Name of the dataset
+name_dataset='seri'
+# Input path
+input_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/feature_data/flatten_aligned_cropped/lbp_riu/lbp_hist/lbp_global'
+# Output path
+output_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/results/flatten_aligned_cropped/lbp_riu/lbp_hist/lbp_global'
+# Type of codebook
+codebook_type='codebook_final'
+
+# Keep the directory of the script into a variable
+script_dir=$(pwd)
+
+# Try the three different radius
+for radius in `seq 1 3`;
+do
+    # Create an automatic script
+    script_filename_core='/script_lbp_flatten_aligned_cropped_global_final_r_'
+    script_filename="$script_dir$script_filename_core$radius"
+    ### Create the file
+    touch $script_filename
+    ### Truncate the file if it is existing
+    : > $script_filename
+
+    printf "ipython ../../pipeline/feature-classification/${name_dataset}/classification_lbp_bow.py ${radius} \"${input_path}\" \"${output_path}\" \"${codebook_type}\" " >> $script_filename
+    ### Make it executable
+    chmod u+x $script_filename
+    # Submit the job to the queue
+    qsub -q batch -pe smp 8 $script_filename
+done

script/lbp_classification_codebook_final/script_seri_lbp_flatten_aligned_cropped_local_random

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+#!/bin/bash
+
+# Name of the dataset
+name_dataset='seri'
+# Input path
+input_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/feature_data/flatten_aligned_cropped/lbp_riu/lbp_hist/lbp_local'
+# Output path
+output_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/results/flatten_aligned_cropped/lbp_riu/lbp_hist/lbp_local'
+# Type of codebook
+codebook_type='codebook_final'
+
+# Keep the directory of the script into a variable
+script_dir=$(pwd)
+
+# Try the three different radius
+for radius in `seq 1 3`;
+do
+    # Create an automatic script
+    script_filename_core='/script_lbp_flatten_aligned_cropped_local_final_r_'
+    script_filename="$script_dir$script_filename_core$radius"
+    ### Create the file
+    touch $script_filename
+    ### Truncate the file if it is existing
+    : > $script_filename
+
+    printf "ipython ../../pipeline/feature-classification/${name_dataset}/classification_lbp_bow.py ${radius} \"${input_path}\" \"${output_path}\" \"${codebook_type}\" " >> $script_filename
+    ### Make it executable
+    chmod u+x $script_filename
+    # Submit the job to the queue
+    qsub -q batch -pe smp 8 $script_filename
+done

script/lbp_classification_codebook_final/script_seri_lbp_flatten_aligned_cropped_wt_bow

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+#!/bin/bash
+
+# Name of the dataset
+name_dataset='seri'
+# Input path
+input_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/feature_data/flatten_aligned_cropped/lbp_riu/lbp_hist/lbp_global'
+# Output path
+output_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/results/flatten_aligned_cropped/lbp_riu/lbp_hist/lbp_global'
+# Type of codebook
+codebook_type='wt_codebook'
+
+# Keep the directory of the script into a variable
+script_dir=$(pwd)
+
+# Try the three different radius
+for radius in `seq 1 3`;
+do
+    # Create an automatic script
+    script_filename_core='/script_lbp_flatten_aligned_cropped_wt_codebook_r_'
+    script_filename="$script_dir$script_filename_core$radius"
+    ### Create the file
+    touch $script_filename
+    ### Truncate the file if it is existing
+    : > $script_filename
+
+    printf "ipython ../../pipeline/feature-classification/${name_dataset}/classification_lbp.py ${radius} \"${input_path}\" \"${output_path}\" \"${codebook_type}\" " >> $script_filename
+    ### Make it executable
+    chmod u+x $script_filename
+    # Submit the job to the queue
+    qsub -q batch -pe smp 8 $script_filename
+done

script/lbp_classification_codebook_final/script_seri_lbp_flatten_aligned_global_random

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+#!/bin/bash
+
+# Name of the dataset
+name_dataset='seri'
+# Input path
+input_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/feature_data/flatten_aligned/lbp_riu/lbp_hist/lbp_global'
+# Output path
+output_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/results/flatten_aligned/lbp_riu/lbp_hist/lbp_global'
+# Type of codebook
+codebook_type='codebook_final'
+
+# Keep the directory of the script into a variable
+script_dir=$(pwd)
+
+# Try the three different radius
+for radius in `seq 1 3`;
+do
+    # Create an automatic script
+    script_filename_core='/script_lbp_flatten_aligned_global_final_r_'
+    script_filename="$script_dir$script_filename_core$radius"
+    ### Create the file
+    touch $script_filename
+    ### Truncate the file if it is existing
+    : > $script_filename
+
+    printf "ipython ../../pipeline/feature-classification/${name_dataset}/classification_lbp_bow.py ${radius} \"${input_path}\" \"${output_path}\" \"${codebook_type}\" " >> $script_filename
+    ### Make it executable
+    chmod u+x $script_filename
+    # Submit the job to the queue
+    qsub -q batch -pe smp 8 $script_filename
+done

script/lbp_classification_codebook_final/script_seri_lbp_flatten_aligned_local_random

@@ -0,0 +1,31 @@
+#!/bin/bash
+
+# Name of the dataset
+name_dataset='seri'
+# Input path
+input_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/feature_data/flatten_aligned/lbp_riu/lbp_hist/lbp_local'
+# Output path
+output_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/results/flatten_aligned/lbp_riu/lbp_hist/lbp_local'
+# Type of codebook
+codebook_type='codebook_final'
+
+# Keep the directory of the script into a variable
+script_dir=$(pwd)
+
+# Try the three different radius
+for radius in `seq 1 3`;
+do
+    # Create an automatic script
+    script_filename_core='/script_lbp_flatten_aligned_local_final_r_'
+    script_filename="$script_dir$script_filename_core$radius"
+    ### Create the file
+    touch $script_filename
+    ### Truncate the file if it is existing
+    : > $script_filename
+
+    printf "ipython ../../pipeline/feature-classification/${name_dataset}/classification_lbp_bow.py ${radius} \"${input_path}\" \"${output_path}\" \"${codebook_type}\" " >> $script_filename
+    ### Make it executable
+    chmod u+x $script_filename
+    # Submit the job to the queue
+    qsub -q batch -pe smp 8 $script_filename
+done

script/lbp_classification_codebook_final/script_seri_lbp_flatten_aligned_wt_bow

@@ -0,0 +1,31 @@
+#!/bin/bash
+
+# Name of the dataset
+name_dataset='seri'
+# Input path
+input_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/feature_data/flatten_aligned/lbp_riu/lbp_hist/lbp_global'
+# Output path
+output_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/results/flatten_aligned/lbp_riu/lbp_hist/lbp_global'
+# Type of codebook
+codebook_type='wt_codebook'
+
+# Keep the directory of the script into a variable
+script_dir=$(pwd)
+
+# Try the three different radius
+for radius in `seq 1 3`;
+do
+    # Create an automatic script
+    script_filename_core='/script_lbp_flatten_aligned_wt_codebook_r_'
+    script_filename="$script_dir$script_filename_core$radius"
+    ### Create the file
+    touch $script_filename
+    ### Truncate the file if it is existing
+    : > $script_filename
+
+    printf "ipython ../../pipeline/feature-classification/${name_dataset}/classification_lbp.py ${radius} \"${input_path}\" \"${output_path}\" \"${codebook_type}\" " >> $script_filename
+    ### Make it executable
+    chmod u+x $script_filename
+    # Submit the job to the queue
+    qsub -q batch -pe smp 8 $script_filename
+done

script/lbp_classification_codebook_final/script_seri_lbp_flatten_global_random

@@ -0,0 +1,31 @@
+#!/bin/bash
+
+# Name of the dataset
+name_dataset='seri'
+# Input path
+input_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/feature_data/flatten/lbp_riu/lbp_hist/lbp_global'
+# Output path
+output_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/results/flatten/lbp_riu/lbp_hist/lbp_global'
+# Type of codebook
+codebook_type='codebook_final'
+
+# Keep the directory of the script into a variable
+script_dir=$(pwd)
+
+# Try the three different radius
+for radius in `seq 1 3`;
+do
+    # Create an automatic script
+    script_filename_core='/script_lbp_flatten_global_final_r_'
+    script_filename="$script_dir$script_filename_core$radius"
+    ### Create the file
+    touch $script_filename
+    ### Truncate the file if it is existing
+    : > $script_filename
+
+    printf "ipython ../../pipeline/feature-classification/${name_dataset}/classification_lbp_bow.py ${radius} \"${input_path}\" \"${output_path}\" \"${codebook_type}\" " >> $script_filename
+    ### Make it executable
+    chmod u+x $script_filename
+    # Submit the job to the queue
+    qsub -q batch -pe smp 8 $script_filename
+done

script/lbp_classification_codebook_final/script_seri_lbp_flatten_local_random

@@ -0,0 +1,31 @@
+#!/bin/bash
+
+# Name of the dataset
+name_dataset='seri'
+# Input path
+input_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/feature_data/flatten/lbp_riu/lbp_hist/lbp_local'
+# Output path
+output_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/results/flatten/lbp_riu/lbp_hist/lbp_local'
+# Type of codebook
+codebook_type='codebook_final'
+
+# Keep the directory of the script into a variable
+script_dir=$(pwd)
+
+# Try the three different radius
+for radius in `seq 1 3`;
+do
+    # Create an automatic script
+    script_filename_core='/script_lbp_flatten_local_final_r_'
+    script_filename="$script_dir$script_filename_core$radius"
+    ### Create the file
+    touch $script_filename
+    ### Truncate the file if it is existing
+    : > $script_filename
+
+    printf "ipython ../../pipeline/feature-classification/${name_dataset}/classification_lbp_bow.py ${radius} \"${input_path}\" \"${output_path}\" \"${codebook_type}\" " >> $script_filename
+    ### Make it executable
+    chmod u+x $script_filename
+    # Submit the job to the queue
+    qsub -q batch -pe smp 8 $script_filename
+done

script/lbp_classification_codebook_final/script_seri_lbp_flatten_wt_bow

@@ -0,0 +1,31 @@
+#!/bin/bash
+
+# Name of the dataset
+name_dataset='seri'
+# Input path
+input_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/feature_data/flatten/lbp_riu/lbp_hist/lbp_global'
+# Output path
+output_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/results/flatten/lbp_riu/lbp_hist/lbp_global'
+# Type of codebook
+codebook_type='wt_codebook'
+
+# Keep the directory of the script into a variable
+script_dir=$(pwd)
+
+# Try the three different radius
+for radius in `seq 1 3`;
+do
+    # Create an automatic script
+    script_filename_core='/script_lbp_flatten_wt_codebook_r_'
+    script_filename="$script_dir$script_filename_core$radius"
+    ### Create the file
+    touch $script_filename
+    ### Truncate the file if it is existing
+    : > $script_filename
+
+    printf "ipython ../../pipeline/feature-classification/${name_dataset}/classification_lbp.py ${radius} \"${input_path}\" \"${output_path}\" \"${codebook_type}\" " >> $script_filename
+    ### Make it executable
+    chmod u+x $script_filename
+    # Submit the job to the queue
+    qsub -q batch -pe smp 8 $script_filename
+done

script/lbp_classification_codebook_final/script_seri_lbp_non_flatten_global_random

@@ -0,0 +1,31 @@
+#!/bin/bash
+
+# Name of the dataset
+name_dataset='seri'
+# Input path
+input_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/feature_data/non_flatten/lbp_riu/lbp_hist/lbp_global'
+# Output path
+output_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/results/non_flatten/lbp_riu/lbp_hist/lbp_global'
+# Type of codebook
+codebook_type='codebook_final'
+
+# Keep the directory of the script into a variable
+script_dir=$(pwd)
+
+# Try the three different radius
+for radius in `seq 1 3`;
+do
+    # Create an automatic script
+    script_filename_core='/script_lbp_non_flatten_global_final_r_'
+    script_filename="$script_dir$script_filename_core$radius"
+    ### Create the file
+    touch $script_filename
+    ### Truncate the file if it is existing
+    : > $script_filename
+
+    printf "ipython ../../pipeline/feature-classification/${name_dataset}/classification_lbp_bow.py ${radius} \"${input_path}\" \"${output_path}\" \"${codebook_type}\" " >> $script_filename
+    ### Make it executable
+    chmod u+x $script_filename
+    # Submit the job to the queue
+    qsub -q batch -pe smp 8 $script_filename
+done

script/lbp_classification_codebook_final/script_seri_lbp_non_flatten_local_random

@@ -0,0 +1,31 @@
+#!/bin/bash
+
+# Name of the dataset
+name_dataset='seri'
+# Input path
+input_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/feature_data/non_flatten/lbp_riu/lbp_hist/lbp_local'
+# Output path
+output_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/results/non_flatten/lbp_riu/lbp_hist/lbp_local'
+# Type of codebook
+codebook_type='codebook_final'
+
+# Keep the directory of the script into a variable
+script_dir=$(pwd)
+
+# Try the three different radius
+for radius in `seq 1 3`;
+do
+    # Create an automatic script
+    script_filename_core='/script_lbp_non_flatten_local_final_r_'
+    script_filename="$script_dir$script_filename_core$radius"
+    ### Create the file
+    touch $script_filename
+    ### Truncate the file if it is existing
+    : > $script_filename
+
+    printf "ipython ../../pipeline/feature-classification/${name_dataset}/classification_lbp_bow.py ${radius} \"${input_path}\" \"${output_path}\" \"${codebook_type}\" " >> $script_filename
+    ### Make it executable
+    chmod u+x $script_filename
+    # Submit the job to the queue
+    qsub -q batch -pe smp 8 $script_filename
+done

script/lbp_classification_codebook_final/script_seri_lbp_non_flatten_wt_bow

@@ -0,0 +1,31 @@
+#!/bin/bash
+
+# Name of the dataset
+name_dataset='seri'
+# Input path
+input_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/feature_data/non_flatten/lbp_riu/lbp_hist/lbp_global'
+# Output path
+output_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/results/non_flatten/lbp_riu/lbp_hist/lbp_global'
+# Type of codebook
+codebook_type='wt_codebook'
+
+# Keep the directory of the script into a variable
+script_dir=$(pwd)
+
+# Try the three different radius
+for radius in `seq 1 3`;
+do
+    # Create an automatic script
+    script_filename_core='/script_lbp_non_flatten_wt_codebook_r_'
+    script_filename="$script_dir$script_filename_core$radius"
+    ### Create the file
+    touch $script_filename
+    ### Truncate the file if it is existing
+    : > $script_filename
+
+    printf "ipython ../../pipeline/feature-classification/${name_dataset}/classification_lbp.py ${radius} \"${input_path}\" \"${output_path}\" \"${codebook_type}\" " >> $script_filename
+    ### Make it executable
+    chmod u+x $script_filename
+    # Submit the job to the queue
+    qsub -q batch -pe smp 8 $script_filename
+done