Create download folder for all downloaded datasets/models, added down…

…loadModel script

matconvnet-calvin/matlab/setup/downloadModel.m

@@ -0,0 +1,49 @@
+function downloadModel(modelName)
+% downloadModel(modelName)
+%
+% Downloads and unzips a trained model.
+%
+% Copyright by Holger Caesar, 2016
+
+% Settings
+global glBaseFolder;
+baseUrl = 'http://groups.inf.ed.ac.uk/calvin/caesar16eccv';
+downloadFolder = fullfile(glBaseFolder, 'Downloads');
+if strcmp(modelName, 'frcn')
+    exportName = 'FRCN_VOC2010_model';
+    exportFilesTarget = fullfile(glBaseFolder, 'Features', 'CNN-Models', 'FRCN', 'VOC2010', 'VOC2010-testRelease');
+elseif strcmp(modelName, 'fcn')
+    exportName = 'FCN_SiftFlow_model';
+    exportFilesTarget = fullfile(glBaseFolder, 'Features', 'CNN-Models', 'FCN', 'SiftFlow', 'fcn16s-testRelease');
+elseif strcmp(modelName, 'e2s2_fast')
+    exportName = 'E2S2_SiftFlow_model_fast';
+    exportFilesTarget = fullfile(glBaseFolder, 'Features', 'CNN-Models', 'E2S2', 'SiftFlow', 'Run1', 'SiftFlow_e2s2_run1_exp1');
+elseif strcmp(modelName, 'e2s2_full')
+    exportName = 'E2S2_SiftFlow_model_full';
+    exportFilesTarget = fullfile(glBaseFolder, 'Features', 'CNN-Models', 'E2S2', 'SiftFlow', 'Run1', 'SiftFlow_e2s2_run1_exp2');
+else
+    error('Error: Unknown model: %s', modelName);
+end
+
+% Create folder
+if ~exist(downloadFolder, 'dir')
+    mkdir(downloadFolder);
+end
+
+% Download model
+url = fullfile(baseUrl, [exportName, '.zip']);
+downloadPath = fullfile(downloadFolder, [exportName, '.zip']);
+if exist(downloadPath, 'file')
+    fprintf('Using existing model file: %s\n', downloadPath);
+else
+    fprintf('Downloading model to: %s\n', downloadPath);
+    websave(downloadPath, url);
+end
+
+% Unzip model
+if exist(exportFilesTarget, 'dir')
+    fprintf('Using existing model in: %s\n', exportFilesTarget);
+else
+    fprintf('Unzipping model to: %s\n', exportFilesTarget);
+    unzip(downloadPath, exportFilesTarget);
+end

matconvnet-calvin/matlab/setup/downloadSelectiveSearch.m

@@ -10,7 +10,8 @@ function downloadSelectiveSearch()
 url = 'http://koen.me/research/downloads/SelectiveSearchCodeIJCV.zip';
 rootFolder = calvin_root();
 codeFolder = fullfile(rootFolder, 'data', 'Code');
-zipFile = fullfile(codeFolder, zipName);
+downloadFolder = fullfile(rootFolder, 'data', 'Downloads');
+zipFile = fullfile(downloadFolder, zipName);
 checkFile = fullfile(codeFolder, 'SelectiveSearchCodeIJCV', 'Image2HierarchicalGrouping.m');
 
 % Download dataset
@@ -19,6 +20,9 @@ function downloadSelectiveSearch()
     if ~exist(codeFolder, 'dir')
         mkdir(codeFolder);
     end
+    if ~exist(downloadFolder, 'dir')
+        mkdir(downloadFolder);
+    end
 
     % Download zip file
     if ~exist(zipFile, 'file')

matconvnet-calvin/matlab/setup/downloadSiftFlow.m

@@ -10,7 +10,8 @@ function downloadSiftFlow()
 url = 'http://www.cs.unc.edu/~jtighe/Papers/ECCV10/siftflow/SiftFlowDataset.zip';
 rootFolder = calvin_root();
 datasetFolder = fullfile(rootFolder, 'data', 'Datasets', 'SiftFlow');
-zipFile = fullfile(datasetFolder, zipName);
+downloadFolder = fullfile(rootFolder, 'data', 'Downloads');
+zipFile = fullfile(downloadFolder, zipName);
 semanticLabelFolder = fullfile(datasetFolder, 'SemanticLabels');
 metaFolder = fullfile(datasetFolder, 'Meta');
 
@@ -20,6 +21,9 @@ function downloadSiftFlow()
     if ~exist(datasetFolder, 'dir')
         mkdir(datasetFolder);
     end
+    if ~exist(downloadFolder, 'dir')
+        mkdir(downloadFolder);
+    end
 
     % Download zip file
     if ~exist(zipFile, 'file')

matconvnet-calvin/matlab/setup/downloadVOC2010.m

@@ -12,8 +12,9 @@ function downloadVOC2010()
 urlDevkit = 'http://host.robots.ox.ac.uk/pascal/VOC/voc2010/VOCdevkit_08-May-2010.tar';
 rootFolder = calvin_root();
 datasetFolder = fullfile(rootFolder, 'data', 'Datasets', 'VOC2010');
-zipFileData = fullfile(datasetFolder, zipNameData);
-zipFileDevkit = fullfile(datasetFolder, zipNameDevkit);
+downloadFolder = fullfile(rootFolder, 'data', 'Downloads');
+zipFileData = fullfile(downloadFolder, zipNameData);
+zipFileDevkit = fullfile(downloadFolder, zipNameDevkit);
 dataFolder = fullfile(datasetFolder, 'VOCdevkit', 'VOC2010', 'JPEGImages');
 devkitFolder = fullfile(datasetFolder, 'VOCdevkit', 'VOCcode');
 
@@ -23,6 +24,9 @@ function downloadVOC2010()
     if ~exist(datasetFolder, 'dir')
         mkdir(datasetFolder);
     end
+    if ~exist(downloadFolder, 'dir')
+        mkdir(downloadFolder);
+    end
 
     % Download data
     if ~exist(dataFolder, 'dir')

matconvnet-calvin/matlab/export/export_model.m → matconvnet-calvin/matlab/setup/exportModel.m

@@ -1,5 +1,5 @@
-function export_model(modelName)
-% export_model(modelName)
+function exportModel(modelName)
+% exportModel(modelName)
 %
 % Zips a trained model so that it can be uploaded to our homepage.
 %