Browse code

GUI Task Switch: selfmade TabbedPanel

git-svn-id: https://svn.discofish.de/MATLAB/spmtoolbox/SVMCrossVal@152 83ab2cfd-5345-466c-8aeb-2b2739fb922d

Christoph Budziszewski authored on 16/03/2009 16:03:31
Showing 5 changed files
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@@ -138,7 +138,6 @@ function pst = calculatePST(timeline,pstopts,data)
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             for ze=1:evntcol % Even COL
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                 if ze==1 || (ze>1 && eventList(zr,ze)~=eventList(zr,ze-1))
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                     n_col=n_col+1;
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-                    tmp_index=[];
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                     tmp_index=find(pstevnt{zr}(:)==eventList(zr,ze));
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                     % Calculate Average PST for each COL within ROW
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                     pst4col(n_col,:)=nanmean(pst{zr}(tmp_index,:));
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@@ -153,16 +152,10 @@ function pst = calculatePST(timeline,pstopts,data)
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         end;
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     end;
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     %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%    
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-                
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-            
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-            
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-    
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-    
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-    
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     %%%%%%%%%%% new 090109 Axel: "Normalization" for SVM
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-    norm4SVM='mean'; %Normalization method for SVM
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+    norm4SVM='minmax'; %Normalization method for SVM
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     disp(['normalization: ' norm4SVM]);   
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     % none - no normalization
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     % mean - mean normalization (meanPSTH max at .5, baseline at -.5]
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@@ -80,7 +80,7 @@ switch task
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         decode = calculateMultiSubjectDecodePerformance(preprocessedData.header,preprocessedData.subjectdata,svmopts);
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         assignin('base','decode',decode);
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     case 'XSVM'
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-        disp('not implemented')
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+        disp('XSVM')
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         svmopts  = getSvmArgs(model,0);
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         decode = xsvm_subject_loop(preprocessedData.header,preprocessedData.subjectdata,svmopts);
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         assignin('base','decode',decode);
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@@ -2,8 +2,8 @@ function plotDecodePerformance(header,decode,subjectData)
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 global SVMCROSSVAL_CROSSVAL_METHOD_DEF;
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-PSTH_AXIS_MIN = -1;
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-PSTH_AXIS_MAX = 1;
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+PSTH_AXIS_MIN = -2;
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+PSTH_AXIS_MAX = 2;
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 timeline = header.timeline;
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... ...
@@ -26,7 +26,6 @@ PLOT_METHOD       = 'x-subject-val';
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     f = figure;
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     subplot(2,1,1);
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     hold on;
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-    size(psth)
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     if (size(psth) > 0)
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       for voxel = 1:size(psth,2)
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           for label = 1:size(psth{voxel},2)
... ...
@@ -19,7 +19,7 @@ DEFAULT.wd  = fullfile('d:','Analyze','Choice','24pilot');
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 %  Initialize and hide the GUI as it is being constructed.
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     frameWidth=450;
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-    frameHeight=600;
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+    frameHeight=450;
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     frame = figure('Visible','off','Position',[0,0,frameWidth,frameHeight]);
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     movegui(frame,'west'); % get this thing visible on smaller displays.
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@@ -31,6 +31,8 @@ DEFAULT.wd  = fullfile('d:','Analyze','Choice','24pilot');
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     set(frame,'Units','normalized');
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     set(frame,'Color','y');
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+    task = struct;
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+    
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     model = struct;
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     model.baseDir = DEFAULT.wd;
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... ...
@@ -38,31 +40,57 @@ DEFAULT.wd  = fullfile('d:','Analyze','Choice','24pilot');
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     set(model.txtBaseDir,'BackgroundColor','w');
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     set(model.txtBaseDir,'ForegroundColor','b');
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-    pFirstStep   = uipanel(frame,'Title','Preprocessing','Position',[0 0.36 1 0.610]);
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-    set(pFirstStep,'BackgroundColor','w');
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-    set(pFirstStep,'Units','normalized');
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+    TASK_HEIGHT = 1-0.13;
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+    
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+    % PREPROCESSING
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+    task.preprocessing   = uipanel(frame,'Title','Preprocessing','Position',[0 0.0 1 TASK_HEIGHT]);
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+    set(task.preprocessing,'BackgroundColor','w');
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+    set(task.preprocessing,'Units','normalized');
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     model.selectedSubject = DEFAULT.selectedSubject;
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-    model = createFirstStepPanel(model,pFirstStep,DEFAULT);
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+    model = createFirstStepPanel(model,task.preprocessing,DEFAULT);
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-    %Classification Step
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-    secondStepBaseColor = 'w';
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-    pSecondStep = uipanel(frame,'Title','Classification','Position',[0 0.1 1 0.25]);
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-    set(pSecondStep,'BackgroundColor',secondStepBaseColor);
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-
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-    model = createSecondStepPanel(model,pSecondStep,DEFAULT,secondStepBaseColor);
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-
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+    % CLASSIFICATION
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+    task.classification = uipanel(frame,'Title','Classification','Position',[0 0.0 1 TASK_HEIGHT]);
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+    set(task.classification,'BackgroundColor','w');
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+    model = createSecondStepPanel(model,task.classification,DEFAULT);
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+    
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+    % TASK
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+    task.taskSwitch = uipanel(frame,'Position',[0 1-0.13 1 0.10]);
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+%         set(task.taskSwitch,'Title','TASK');
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+        set(task.taskSwitch,'BackgroundColor','w');
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+        set(task.taskSwitch,'Units','normalized');
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+    
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+        btnSwitchPreprocessing = uicontrol(task.taskSwitch,'String','ImageProcessing',...
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+            'Units','normalized','Position',[0.0 0.0 0.33 1]);
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+        set(btnSwitchPreprocessing,'Callback',{@cbSwitchTask,'PRE',task}); 
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+        set(btnSwitchPreprocessing,'Enable','on');
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+
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+        btnSwitchClassify = uicontrol(task.taskSwitch,'String','Decode',...
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+            'Units','normalized','Position',[0.33 0.0 0.33 1]);
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+        set(btnSwitchClassify,'Callback',{@cbSwitchTask,'CLASSIFY',task}); 
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+        set(btnSwitchClassify,'Enable','on');
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+
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+        btnSwitchPlot = uicontrol(task.taskSwitch,'String','Plot',...
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+            'Units','normalized','Position',[0.66 0.0 0.33 1]);
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+        set(btnSwitchPlot,'Callback',{@cbSwitchTask,'PLOT',task}); 
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+        set(btnSwitchPlot,'Enable','on');
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+
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+    % menu
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+    
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     savemenu = uimenu(frame,'Label','Save/Load');
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-    uimenu(savemenu,'Label','Save Preprocessing Parameter','Callback',{@mcb_save,model});
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-    uimenu(savemenu,'Label','Load Preprocessing Parameter','Callback',{@mcb_load,model});
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+        uimenu(savemenu,'Label','Save Preprocessing Parameter','Callback',{@mcb_save,model});
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+        uimenu(savemenu,'Label','Load Preprocessing Parameter','Callback',{@mcb_load,model});
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     uimenu(frame,'Label','change Study','Callback',{@mcb_cd,model},'Enable','off');
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-    set(frame,'Visible','on');
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+    cbSwitchTask(0,0,'PRE',task);
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     % fill with data
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     model = scanDirs(model);
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+    set(frame,'Visible','on');
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+
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     assignin('base','model',model);
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 end
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... ...
@@ -236,9 +264,14 @@ function model = createFirstStepPanel(model,parent,DEFAULT)
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         set(btnRunButton3,'Enable','on');
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 end
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-function model = createSecondStepPanel(model,parent,DEFAULT,basecolor)
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+function model = createSecondStepPanel(model,parent,DEFAULT)
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+basecolor = 'w';
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+
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+pTime = uipanel(parent,'Units','normalized','Position',[0.0 0.8 1 0.3]);
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+%     set(pTime,'Title','Frameshift Opts');
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+    set(pTime,'BackgroundColor',basecolor);
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-pSVM = uipanel(parent,'Units','normalized','Position',[0 0.0 0.5 1]);
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+pSVM = uipanel(parent,'Units','normalized','Position',[0 0.0 0.5 0.7]);
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     set(pSVM,'Title','SVM Classification');
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     set(pSVM,'BackgroundColor',basecolor);
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... ...
@@ -248,7 +281,7 @@ pSVM = uipanel(parent,'Units','normalized','Position',[0 0.0 0.5 1]);
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     model.txtSVMnfold = createTextField(pSVM,[0.0 0.50 0.5 0.25],DEFAULT.svmnfold);
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     createLabel(pSVM,[0.5 0.50 0.5 0.25 ],'-Fold CrossVal');
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-pSOM = uipanel(parent,'Units','normalized','Position',[0.5 0.0 0.5 1]);
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+pSOM = uipanel(parent,'Units','normalized','Position',[0.5 0.0 0.5 0.7]);
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     set(pSOM,'Title','SOM Classification');
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     set(pSOM,'BackgroundColor',basecolor);
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... ...
@@ -287,6 +320,19 @@ pSOM = uipanel(parent,'Units','normalized','Position',[0.5 0.0 0.5 1]);
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 end
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+function cbSwitchTask(src,evnt,task,taskpanel)
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+set(taskpanel.preprocessing,'Visible','off');
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+set(taskpanel.classification,'Visible','off');
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+
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+switch task
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+    case 'PRE'
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+        set(taskpanel.preprocessing,'Visible','on');
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+    case 'CLASSIFY'
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+        set(taskpanel.classification,'Visible','on');
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+    case 'PLOT'
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+end
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+end
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+
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 function cbRunPreprocessing(src,evnt,model,task)
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 main(model,'pre',task);
... ...
@@ -68,4 +68,6 @@ for timeIndex = 1:timeLineEnd-timeLineStart+1
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     decode.decodePerformance = [decode.decodePerformance; cross_value];
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 end
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+
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+disp('decode done');
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 end