remove TODO. see coco/convert_to_pascalformat.py for converting COCO …

…JSON annotations to PASCAL xml version. see test/coco_dpm_test.m for using pre-trained PASCAL models for evaluating on COCO images and output the correct COCO result format.
tylin · Mar 24, 2015 · 90ad613 · 90ad613
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diff --git a/test/pascal_test.m b/test/pascal_test.m
@@ -17,9 +17,6 @@
 %   We also save the bounding boxes of each filter (include root filters)
 %   and the unclipped detection window in ds
 
-% ===================================================================
-% TODO change the code for loading images for testing
-% ===================================================================
 conf = voc_config('pascal.year', year, ...
                   'eval.test_set', testset);
 VOCopts  = conf.pascal.VOCopts;
@@ -86,10 +83,6 @@
   ds = ds_out;
   bs = bs_out;
 
-% ===================================================================
-% TODO add a different file to save detection result in COCO format
-% TODO The fortmat: {"image_id": int, "category_id": int, "bbox": [x, y, w, h]}
-% ===================================================================
   save([cachedir cls '_boxes_' testset '_' suffix], ...
        'ds', 'bs', 'th');
   fprintf('Testing took %.4f seconds\n', th);

diff --git a/train/pascal_train.m b/train/pascal_train.m
@@ -25,9 +25,6 @@
 cachedir = conf.paths.model_dir;
 
 % Load the training data
-% ==================================================================
-% TODO modify pascal_data function
-% ==================================================================
 [pos, neg, impos] = pascal_data(cls, conf.pascal.year);
 
 % Split foreground examples into n groups by aspect ratio