Merge pull request fizyr#791 from lvaleriu/patch-2

Small questioning ...

keras_retinanet/bin/evaluate.py

@@ -108,7 +108,6 @@ def parse_args(args):
     parser.add_argument('--image-min-side',   help='Rescale the image so the smallest side is min_side.', type=int, default=800)
     parser.add_argument('--image-max-side',   help='Rescale the image if the largest side is larger than max_side.', type=int, default=1333)
     parser.add_argument('--config',           help='Path to a configuration parameters .ini file (only used with --convert-model).')
-    parser.add_argument('--weighted-average', help='Compute the mAP using the weighted average of precisions among classes.', action='store_true')
 
     return parser.parse_args(args)
 
@@ -181,10 +180,8 @@ def main(args=None):
             print('No test instances found.')
             return
 
-        if args.weighted_average:
-            print('mAP: {:.4f}'.format(sum([a * b for a, b in zip(total_instances, precisions)]) / sum(total_instances)))
-        else:
-            print('mAP: {:.4f}'.format(sum(precisions) / sum(x > 0 for x in total_instances)))
+        print('mAP using the weighted average of precisions among classes: {:.4f}'.format(sum([a * b for a, b in zip(total_instances, precisions)]) / sum(total_instances)))
+        print('mAP: {:.4f}'.format(sum(precisions) / sum(x > 0 for x in total_instances)))
 
 
 if __name__ == '__main__':