From 7d6067e789a2fdc105cf4b14c3bfaae321848a15 Mon Sep 17 00:00:00 2001
From: WeiCheng Kuo <littlediplomat1002@gmail.com>
Date: Thu, 8 Oct 2015 23:49:25 -0700
Subject: [PATCH] minor edit

---
 README.md                                   | 9 +++++++++
 eval/eval_fast_dbox.m                       | 6 ++----
 eval/{plot_fast_rcnn.m => plot_fast_dbox.m} | 4 ++--
 3 files changed, 13 insertions(+), 6 deletions(-)
 rename eval/{plot_fast_rcnn.m => plot_fast_dbox.m} (95%)

diff --git a/README.md b/README.md
index 8db57fc..c2647e7 100644
--- a/README.md
+++ b/README.md
@@ -158,6 +158,15 @@ python ./tools/demo.py (Show all demo options)
 python ./tools/demo.py --demo 0 --frame 0 --numboxes 5 (Demo on frame 0 of COCO val set showing top 5 proposals)
 ```
 
+**Evaluate** the test result. This part is written in Matlab. First launch your Matlab in $FDBOX_ROOT. Then do the following:
+
+```Shell
+cd ./eval
+eval_fast_dbox
+plot_fast_dbox(name)
+```
+The evaluation output will be printed and the Recall-vs-NumOfProposals plots will be shown. 
+
 ### Extra-downloads
 
   Pre-computed Fast DeepBox proposals on COCO train, val, and test-dev. 
diff --git a/eval/eval_fast_dbox.m b/eval/eval_fast_dbox.m
index 7289533..3c83c89 100644
--- a/eval/eval_fast_dbox.m
+++ b/eval/eval_fast_dbox.m
@@ -1,9 +1,7 @@
 % Setup directories
 function eval_fast_dbox()
 name = 'fast-dbox-multiscale';
-%name = 'ebox_3_ss_73_iter_120000';
-suffix = ['fast_rcnn_dbox_' name];
-%load COCO annotations for specific categories
+suffix = ['results_' name];
 addpath('./MSCOCO/MatlabAPI');
 dataDir='./MSCOCO'; 
 split = 'val';
@@ -11,7 +9,7 @@ function eval_fast_dbox()
 dataType = [split year];
 annFile=sprintf('%s/annotations/instances_%s.json',dataDir,dataType);
 
-%% load coco non ovlap with imagenet categories
+%% load coco
 coco=CocoApi(annFile);
 imgIds = coco.getImgIds();
 num_imgs = numel(imgIds);
diff --git a/eval/plot_fast_rcnn.m b/eval/plot_fast_dbox.m
similarity index 95%
rename from eval/plot_fast_rcnn.m
rename to eval/plot_fast_dbox.m
index 1846756..9572f09 100644
--- a/eval/plot_fast_rcnn.m
+++ b/eval/plot_fast_dbox.m
@@ -1,5 +1,5 @@
-function plot_fast_rcnn(name)
-load(['fast_rcnn_dbox_' name '.mat']);
+function plot_fast_dbox(name)
+load(['result_' name '.mat']);
 dr_e = mean_edgebox./sum_gt;
 dr_ds = mean_dbox_Mprop./sum_gt; 
 thr_num = [1 2 5 10 20 50 100 200 500 1000 2000];