From e64192249e3e992fdcbb2b671afb827763ccfd50 Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Fri, 3 Nov 2023 11:34:58 -0500
Subject: [PATCH] snapshot...
---
modules/deeplearning/icing_fcn.py | 20 --------------------
1 file changed, 20 deletions(-)
diff --git a/modules/deeplearning/icing_fcn.py b/modules/deeplearning/icing_fcn.py
index c44153cd..3ce7f08a 100644
--- a/modules/deeplearning/icing_fcn.py
+++ b/modules/deeplearning/icing_fcn.py
@@ -413,26 +413,6 @@ class IcingIntensityFCN:
def get_in_mem_data_batch_test(self, idxs):
return self.get_in_mem_data_batch(idxs, False)
- # For full image processing, not quite there yet :(
- # def get_in_mem_data_batch_eval(self, idxs):
- # data = []
- # for param in self.train_params:
- # nda = self.data_dct[param]
- # nda = normalize(nda, param, mean_std_dct)
- # data.append(nda)
- # data = np.stack(data)
- # data = data.astype(np.float32)
- # data = np.transpose(data, axes=(1, 2, 0))
- # data = np.expand_dims(data, axis=0)
- #
- # nda = np.zeros([1])
- # nda[0] = self.flight_level
- # nda = tf.one_hot(nda, 5).numpy()
- # nda = np.expand_dims(nda, axis=0)
- # nda = np.expand_dims(nda, axis=0)
- #
- # return data, nda
-
def get_in_mem_data_batch_eval(self, idxs):
# sort these to use as numpy indexing arrays
nd_idxs = np.array(idxs)
--
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