Ignore matching_gps_neighbors if any image has no GPS data

bin/match_features

@@ -1,17 +1,20 @@
 #!/usr/bin/env python
 import os.path, sys
-import time
 sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
 
+import argparse
+import logging
 from multiprocessing import Pool
+import time
+
 import numpy as np
-from itertools import combinations
-import argparse
+
 from opensfm import dataset
-from opensfm import features
 from opensfm import matching
 from opensfm import geo
 
+logger = logging.getLogger(__name__)
+
 
 def has_gps_info(exif):
     return (exif
@@ -26,7 +29,7 @@ def distance_from_exif(exif1, exif2):
         gps2 = exif2['gps']
         lon1, lat1 = gps1['longitude'], gps1['latitude']
         lon2, lat2 = gps2['longitude'], gps2['latitude']
-        return geo.gps_distance([lon1,lat1], [lon2, lat2])
+        return geo.gps_distance([lon1, lat1], [lon2, lat2])
     else:
         return 0
 
@@ -42,6 +45,11 @@ def match_candidates_from_metadata(images, exifs, data):
     max_neighbors = data.config['matching_gps_neighbors']
     max_time_neighbors = data.config['matching_time_neighbors']
 
+    if not all(map(has_gps_info, exifs)) and max_neighbors != 0:
+        logger.warn("Not all images have GPS info. "
+                    "Disabling matching_gps_neighbors.")
+        max_neighbors = 0
+
     pairs = set()
     for im1 in images:
         distances = []
@@ -135,6 +143,7 @@ def match_arguments(pairs):
 
 
 if __name__ == "__main__":
+    logging.basicConfig(level=logging.DEBUG)
     parser = argparse.ArgumentParser(description='Match features between all image pairs.')
     parser.add_argument('dataset', help='path to the dataset to be processed')
     args = parser.parse_args()