--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/scripts/clean-ground-truth.py	Thu Feb 25 17:14:22 2016 -0500
@@ -0,0 +1,30 @@
+#! /usr/bin/env python                                                                                
+import argparse
+import pandas as pd
+import sqlite3
+from numpy import min, max
+
+#import utils
+#import storage
+
+parser = argparse.ArgumentParser(description='The program finds ground truth annotation objects with missing positions (and the times that do not have a position')
+#parser.add_argument('configFilename', help = 'name of the configuration file') 
+parser.add_argument('-d', dest = 'databaseFilename', help = 'name of the Ground Truth Sqlite database', required = True)
+
+args = parser.parse_args()
+
+data = pd.read_sql_query("select object_id, frame_number from bounding_boxes", sqlite3.connect(args.databaseFilename))
+#aggData = data.groupby(["object_id"]).agg([min, max, len])
+
+nProblems = 0
+for object_id in data["object_id"].unique():
+    tmp = data[data["object_id"] == object_id]
+    firstInstant = min(tmp["frame_number"])
+    lastInstant = max(tmp["frame_number"])
+    if lastInstant-firstInstant != len(tmp)-1:
+        nProblems += 1
+        times=set(range(firstInstant, lastInstant+1))
+        print("Object {} has missing positions at instants: {}".format(object_id, times.difference(tmp["frame_number"])))
+
+if nProblems == 0:
+    print("No problems were detected in database {}".format(args.databaseFilename))