From fc341c91e5c1efff3ff63e8111d2a9f02599251e Mon Sep 17 00:00:00 2001
From: "Anders U. Waldeland" <32647204+waldeland@users.noreply.github.com>
Date: Tue, 5 Mar 2019 16:03:33 +0100
Subject: [PATCH] Make the ordering of prior_boxes deterministic

In the current implementation the ordering of the prior_boxes-list is random. This makes it impossible to load pretrained model weights (without the model definition).
---
 model.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/model.py b/model.py
index 9deaedf..080a1f0 100644
--- a/model.py
+++ b/model.py
@@ -395,7 +395,7 @@ def create_prior_boxes(self):
                          'conv10_2': [1., 2., 0.5],
                          'conv11_2': [1., 2., 0.5]}
 
-        fmaps = list(fmap_dims.keys())
+        fmaps = sorted(list(fmap_dims.keys()))
 
         prior_boxes = []