- New version of MCG benchmark

- This new version implements the measures used in the PAMI submission and in the following paper:
**Jordi Pont-Tuset** and **Luc Van Gool**<br>
Boosting Object Proposals: From Pascal to COCO<br>
*International Conference on Computer Vision (ICCV) 2015*

benchmark/README.txt

@@ -15,7 +15,8 @@
 % ------------------------------------------------------------------------
 
 FIRST INSTALL
-- Change datasets/database_root_dir.m to point to your PASCAL2012 folder (the one with subfolders ImageSets, JPEGImages, etc.) or the SBD or COCO folders.
+- Change src/gt_wrappers/db_root_dir.m to point to your PASCAL2012 folder (the one with subfolders ImageSets, JPEGImages, etc.) or the SBD or COCO folders.
+  Check src/gt_wrappers/README.md for more info on this
 - Run install.m from the root dir to add the needed paths and do some checks
 - If you need to re-build the library (the script install.m will tell if needed), run build.m
 
@@ -24,7 +25,7 @@ USAGE INSTALL
 - If you want to avoid this, add the paths permanently
 
 EVALUATION
-- See results_segm_proposals.m and results_box_proposals for an example of how to evaluate and show the benchmark results
+- See results_segm_proposals.m and results_box_proposals.m for an example of how to evaluate and show the benchmark results
 
 Enjoy!
 

benchmark/build.m

@@ -17,11 +17,7 @@
 % This function builds all the MEX files needed.
 % Dependencies: Boost C++ libraries (http://www.boost.org)
 %
-% The code contains C++11 functionality, so you have to use a compiler that
-% supports the flag -std=c++11.
-% Some help on how to do it in: http://jponttuset.github.io/matlab2014-mex-flags/
 % ------------------------------------------------------------------------
-
 function build()
 %% Check that root_dir is set properly
 if ~exist(root_dir,'dir')
@@ -55,9 +51,6 @@ function build()
     eval(['mex ''' build_file{ii} ''' -outdir ''' fullfile(root_dir, 'lib') '''' include_str])
 end
 
-%% Build COCO
-eval(['mex src/coco/private/gasonMex.cpp src/coco/private/gason.cpp -Isrc/coco/private -I/usr/local/include -outdir ''' fullfile(root_dir, 'lib') '''' include_str])
-
 %% Clear variables
 clear build_file ii include include_str
 

benchmark/datasets/database_root_dir.m → benchmark/check_dbs.m

@@ -13,19 +13,37 @@
 %    Computer Vision and Pattern Recognition (CVPR) 2014.
 % Please consider citing the paper if you use this code.
 % ------------------------------------------------------------------------
-% Adapt the paths to the place where you have downloaded PASCAL.
-% ------------------------------------------------------------------------
 
-function db_root_dir = database_root_dir( database )
-if strcmp(database,'pascal2012')
-    db_root_dir ='/path/to/pascal2012/';
-elseif strcmp(database,'COCO')
-    db_root_dir = '/path/to/COCO/';
-elseif strcmp(database,'SBD')
-    db_root_dir = '/path/to/SBD/';
-else
-    error(['Unknown database: ' database]);
-end
+%% Get all image IDs from a certain dataset
+database = 'COCO';
+gt_set   = 'train2014';
+% database = 'Pascal';
+% gt_set   = 'Segmentation_train_2012';
+% database = 'SBD';
+% gt_set   = 'train';
+sel_id   = 2;
+
+% Read image IDs
+im_ids = db_ids(database,gt_set);
+
+% Show size and example ID
+disp(['There are ' num2str(length(im_ids)) ' images in ' database ' - ' gt_set])
+disp([' Example ID ''' im_ids{sel_id} ''' in position ' num2str(sel_id)])
+
+%% Load an image
+im = db_im(database,im_ids{sel_id});
 
+% Display
+figure; subplot(2,2,1);
+imshow(im)
+
+%% Load a ground-truth annotation (first time in COCO takes longer)
+gt = db_gt(database,im_ids{sel_id});
+
+for ii=1:min(3,length(gt.masks))
+    subplot(2,2,1+ii);
+    imshow(gt.masks{ii})
 end
 
+
+