Merge branch 'main' of https://github.com/GSSfearless/Machine-Vision-Project

Author: jupjupy

SOM/Load.m

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+%%%%%%%%%%%%% 2021/10/15 Gan Runze %%%%%%%%%%%%%%%
+
+%%
+clear;clc
+
+%Let's make a waitbar
+h =waitbar(0,'Please Wait')
+
+%makeing prefix to loading data
+prefix_1=('/home/ryan/Downloads/p_dataset_26/Sample1/')
+d_1 = dir([prefix_1,'*.mat'])
+prefix_2=('/home/ryan/Downloads/p_dataset_26/Sample2/')
+d_2 = dir([prefix_2,'*.mat'])
+prefix_3=('/home/ryan/Downloads/p_dataset_26/Sample3/')
+d_3 = dir([prefix_3,'*.mat'])
+prefix_A=('/home/ryan/Downloads/p_dataset_26/SampleA/')
+d_A = dir([prefix_A,'*.mat'])
+prefix_B=('/home/ryan/Downloads/p_dataset_26/SampleB/')
+d_B = dir([prefix_B,'*.mat'])
+prefix_C=('/home/ryan/Downloads/p_dataset_26/SampleC/')
+d_C = dir([prefix_C,'*.mat'])
+
+%%%%%%%%%%%%%%%%%Transform struct format into matrix format%%%%%%%%%%%%%%
+
+%Initialize the data
+data = zeros(6*1026*26,26)
+
+%Six loop to transform struct format data into matrix format data
+K_1 = 0
+
+for i=1:1016
+    t_1(i)=load([prefix_1,d_1(i).name])
+        if i == 1
+            data(1:26,:) = cell2mat(struct2cell(t_1(i)))
+        
+        else
+            data((i-1)*26+1:i*26,:) = cell2mat(struct2cell(t_1(i)))
+        end
+    str = ['Runing on Sample 1  :',num2str(i/1016*100),'%']
+    waitbar(i/1016,h,str)
+end
+
+
+K_2 = 26*1016*1
+
+for i=1:1016
+    t_2(i)=load([prefix_2,d_2(i).name])
+        if i == 1
+            data(K_2+1:K_2+26,:) = cell2mat(struct2cell(t_2(i)))
+        
+        else
+            data((i-1)*26+K_2+1:i*26+K_2,:) = cell2mat(struct2cell(t_2(i)))
+        end
+    str = ['Runing on Sample 2  :',num2str(i/1016*100),'%']
+    waitbar(i/1016,h,str)
+end
+
+
+K_3 = 26*1016*2
+
+for i=1:1016
+    t_3(i)=load([prefix_3,d_3(i).name])
+        if i == 1
+            data(K_3+1:K_3+26,:) = cell2mat(struct2cell(t_3(i)))
+            
+        else
+            data((i-1)*26+K_3+1:i*26+K_3,:) = cell2mat(struct2cell(t_3(i)))
+        end
+    str = ['Runing on Sample 3  :',num2str(i/1016*100),'%']
+    waitbar(i/1016,h,str)        
+end
+
+
+A = 26*1016*3
+
+for i=1:1016
+    t_A(i)=load([prefix_A,d_A(i).name])
+        if i == 1
+            data(A+1:A+26,:) = cell2mat(struct2cell(t_A(i)))
+            
+        else
+            data((i-1)*26+A+1:i*26+A,:) = cell2mat(struct2cell(t_A(i)))
+        end
+    str = ['Runing on Sample A  :',num2str(i/1016*100),'%']
+    waitbar(i/1016,h,str)        
+end
+
+
+B = 26*1016*4
+
+for i=1:1016
+    t_B(i)=load([prefix_B,d_B(i).name])
+        if i == 1
+            data(B+1:B+26,:) = cell2mat(struct2cell(t_B(i)))
+            
+        else
+            data((i-1)*26+B+1:i*26+B,:) = cell2mat(struct2cell(t_B(i)))
+        end
+    str = ['Runing on Sample B  :',num2str(i/1016*100),'%']
+    waitbar(i/1016,h,str)      
+end
+
+C = 26*1016*5
+
+for i=1:1016
+    t_C(i)=load([prefix_C,d_C(i).name])
+        if i == 1
+            data(C+1:C+26,:) = cell2mat(struct2cell(t_C(i)))
+            
+        else
+            data((i-1)*26+C+1:i*26+C,:) = cell2mat(struct2cell(t_C(i)))
+        end
+    str = ['Runing on Sample C  :',num2str(i/1016*100),'%']
+    waitbar(i/1016,h,str)        
+end
+
+delete(h)
+%%%%%%%%%%%%%%%%%%%%% Save the data in txt format %%%%%%%%%%%%%%%%%%%%%%%%%
+save train_backup.txt -ascii data
+
+fid = fopen('train.txt','wt')
+[M,N]=size(data)
+for i = 1:1:M
+    for j =1:1:N
+        if j==N
+            fprintf(fid,'%g\n',data(i,j));
+        else
+            fprintf(fid,'%g\t',data(i,j));
+        end
+    end
+end
+fclose(fid)
+
+

SOM/ReadME.md

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+==========================================================================
+##  This is SOM part for ME5405 Project
+##  Step 1:Please RUN Load.m to do pre-processing work for the dataset
+##  Step 2:Please RUN Train.m to trian the SOM network
+##  Step 3:Please use SOM_net to load the data sets and plot.

SOM/Result/N1_test_hits.jpg

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+# This is the result of SOM training result