From 6eef022ca9df802ca28405bd4d064cc4de5faf07 Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Mon, 13 Nov 2023 14:08:17 -0600
Subject: [PATCH] snapshot...
---
modules/deeplearning/icing_fcn.py | 4 ++--
1 file changed, 2 insertions(+), 2 deletions(-)
diff --git a/modules/deeplearning/icing_fcn.py b/modules/deeplearning/icing_fcn.py
index aeb70a63..65c51921 100644
--- a/modules/deeplearning/icing_fcn.py
+++ b/modules/deeplearning/icing_fcn.py
@@ -1175,7 +1175,7 @@ def run_evaluate_static_2(model, data_dct, num_tiles, prob_thresh=0.5, flight_le
return preds_dct, probs_dct
-def run_evaluate_static_avg(ckpt_dir_s_path, day_night='NIGHT', l1b_andor_l2='BOTH', use_flight_altitude=False):
+def run_averaged_models(ckpt_dir_s_path, day_night='NIGHT', l1b_andor_l2='BOTH', use_flight_altitude=False):
ckpt_dir_s = os.listdir(ckpt_dir_s_path)
weight_s = []
@@ -1197,7 +1197,7 @@ def run_evaluate_static_avg(ckpt_dir_s_path, day_night='NIGHT', l1b_andor_l2='BO
new_model.build_training()
new_model.build_evaluation()
- # -- save the averaged weights to a new the model
+ # -- Save the averaged weights to a new the model
if not os.path.exists(modeldir):
os.mkdir(modeldir)
ckpt = tf.train.Checkpoint(step=tf.Variable(1), model=new_model.model)
--
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