From 5452901f958b370025c3484abc116e0a80fd228f Mon Sep 17 00:00:00 2001
From: vandanavk <vandana268@gmail.com>
Date: Wed, 1 Aug 2018 11:52:42 -0700
Subject: [PATCH] Fix undefined names in SSD example

maskUtils is disabled. Comment out all code referencing it.
Initializing start_offset.
---
 example/ssd/dataset/pycocotools/coco.py | 31 +++++++++++++------------
 example/ssd/symbol/common.py            |  3 +++
 2 files changed, 19 insertions(+), 15 deletions(-)

diff --git a/example/ssd/dataset/pycocotools/coco.py b/example/ssd/dataset/pycocotools/coco.py
index 19a7b8b7f64d..1d2651394aa8 100755
--- a/example/ssd/dataset/pycocotools/coco.py
+++ b/example/ssd/dataset/pycocotools/coco.py
@@ -255,22 +255,23 @@ def showAnns(self, anns):
                             color.append(c)
                     else:
                         # mask
-                        t = self.imgs[ann['image_id']]
-                        if type(ann['segmentation']['counts']) == list:
+                        raise NotImplementedError("maskUtils disabled!")
+                        # t = self.imgs[ann['image_id']]
+                        # if type(ann['segmentation']['counts']) == list:
                             # rle = maskUtils.frPyObjects([ann['segmentation']], t['height'], t['width'])
-                            raise NotImplementedError("maskUtils disabled!")
-                        else:
-                            rle = [ann['segmentation']]
+                        #    raise NotImplementedError("maskUtils disabled!")
+                        # else:
+                        #    rle = [ann['segmentation']]
                         # m = maskUtils.decode(rle)
-                        raise NotImplementedError("maskUtils disabled!")
-                        img = np.ones( (m.shape[0], m.shape[1], 3) )
-                        if ann['iscrowd'] == 1:
-                            color_mask = np.array([2.0,166.0,101.0])/255
-                        if ann['iscrowd'] == 0:
-                            color_mask = np.random.random((1, 3)).tolist()[0]
-                        for i in range(3):
-                            img[:,:,i] = color_mask[i]
-                        ax.imshow(np.dstack( (img, m*0.5) ))
+                        # raise NotImplementedError("maskUtils disabled!")
+                        # img = np.ones( (m.shape[0], m.shape[1], 3) )
+                        # if ann['iscrowd'] == 1:
+                        #    color_mask = np.array([2.0,166.0,101.0])/255
+                        # if ann['iscrowd'] == 0:
+                        #    color_mask = np.random.random((1, 3)).tolist()[0]
+                        # for i in range(3):
+                        #    img[:,:,i] = color_mask[i]
+                        # ax.imshow(np.dstack( (img, m*0.5) ))
                 if 'keypoints' in ann and type(ann['keypoints']) == list:
                     # turn skeleton into zero-based index
                     sks = np.array(self.loadCats(ann['category_id'])[0]['skeleton'])-1
@@ -432,4 +433,4 @@ def annToMask(self, ann):
         rle = self.annToRLE(ann)
         # m = maskUtils.decode(rle)
         raise NotImplementedError("maskUtils disabled!")
-        return m
+        # return m
diff --git a/example/ssd/symbol/common.py b/example/ssd/symbol/common.py
index 4a0458f87288..a2fb4e69d18c 100644
--- a/example/ssd/symbol/common.py
+++ b/example/ssd/symbol/common.py
@@ -206,6 +206,9 @@ def multibox_layer(from_layers, num_classes, sizes=[.2, .95],
          assert sizes[0] > 0 and sizes[0] < 1
          assert sizes[1] > 0 and sizes[1] < 1 and sizes[1] > sizes[0]
          tmp = np.linspace(sizes[0], sizes[1], num=(len(from_layers)-1))
+         # Ref for start_offset value:
+         # https://arxiv.org/abs/1512.02325
+         start_offset = 0.1
          min_sizes = [start_offset] + tmp.tolist()
          max_sizes = tmp.tolist() + [tmp[-1]+start_offset]
          sizes = zip(min_sizes, max_sizes)