From 81cc3f1e4b91e03e44a6f73b7ead0960cbe80272 Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Sat, 7 Aug 2021 10:50:41 -0500
Subject: [PATCH] minor
---
modules/deeplearning/icing_cnn.py | 4 ++--
1 file changed, 2 insertions(+), 2 deletions(-)
diff --git a/modules/deeplearning/icing_cnn.py b/modules/deeplearning/icing_cnn.py
index 5dd8219f..a20c5c48 100644
--- a/modules/deeplearning/icing_cnn.py
+++ b/modules/deeplearning/icing_cnn.py
@@ -418,7 +418,7 @@ class IcingIntensityNN:
momentum = 0.99
num_filters = 16
- # num_filters = 10
+ # num_filters = 12
conv = tf.keras.layers.Conv2D(num_filters, 5, strides=[1, 1], padding=padding, activation=activation)(self.inputs[0])
conv = tf.keras.layers.MaxPool2D(padding=padding)(conv)
@@ -861,7 +861,7 @@ class IcingIntensityNN:
self.restore(ckpt_dir)
def run_evaluate(self, filename, ckpt_dir):
- data_dct, ll, cc = make_for_full_domain_predict(filename)
+ data_dct, ll, cc = make_for_full_domain_predict(filename, name_list=train_params)
self.setup_eval_pipeline(data_dct, len(ll))
self.build_model()
self.build_training()
--
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