# HG changeset patch
# User Nicolas Saunier <nicolas.saunier@polymtl.ca>
# Date 1454361026 18000
# Node ID bf4a1790cfac5963bee45044092d704421324310
# Parent  e92a96f2bdd3c3c8700be1f43b0049bc97d19b96
minor bug and improvements

diff -r e92a96f2bdd3 -r bf4a1790cfac python/storage.py
--- a/python/storage.py	Fri Jan 29 17:43:57 2016 -0500
+++ b/python/storage.py	Mon Feb 01 16:10:26 2016 -0500
@@ -511,7 +511,7 @@
     try:
         cursor.execute('SELECT * from prototypes order by prototype_id, routeIDstart,routeIDend, nMatching')
     except sqlite3.OperationalError as error:
-        utils.printDBError(error)
+        printDBError(error)
         return []
 
     for row in cursor:
@@ -550,7 +550,7 @@
     try:
         cursor.execute('SELECT * from labels order by object_id, routeIDstart,routeIDend, prototype_id')
     except sqlite3.OperationalError as error:
-        utils.printDBError(error)
+        printDBError(error)
         return []
 
     for row in cursor:
@@ -594,7 +594,7 @@
     try:
         cursor.execute('SELECT * from speedprototypes order by spdprototype_id,prototype_id, routeID_start, routeID_end, nMatching')
     except sqlite3.OperationalError as error:
-        utils.printDBError(error)
+        printDBError(error)
         return []
 
     for row in cursor:
@@ -634,7 +634,7 @@
     try:
         cursor.execute('SELECT * from routes order by object_id, routeIDstart,routeIDend')
     except sqlite3.OperationalError as error:
-        utils.printDBError(error)
+        printDBError(error)
         return []
 
     for row in cursor:
diff -r e92a96f2bdd3 -r bf4a1790cfac scripts/compute-homography.py
--- a/scripts/compute-homography.py	Fri Jan 29 17:43:57 2016 -0500
+++ b/scripts/compute-homography.py	Mon Feb 01 16:10:26 2016 -0500
@@ -100,10 +100,12 @@
     print('Click on {0} points in the video frame'.format(args.nPoints))
     plt.figure()
     plt.imshow(videoImg)
+    plt.tight_layout()
     videoPts = np.array(plt.ginput(args.nPoints, timeout=3000))
     print('Click on {0} points in the world image'.format(args.nPoints))
     plt.figure()
     plt.imshow(worldImg)
+    plt.tight_layout()
     worldPts = args.unitsPerPixel*np.array(plt.ginput(args.nPoints, timeout=3000))
     plt.close('all')
     homography, mask = cv2.findHomography(videoPts, worldPts)