From 0d6427c2bf5029a11c57cf75cfcc10a08d5eaa74 Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Fri, 12 Aug 2022 12:59:30 -0500
Subject: [PATCH] test...
---
modules/deeplearning/espcn.py | 7 +++++--
1 file changed, 5 insertions(+), 2 deletions(-)
diff --git a/modules/deeplearning/espcn.py b/modules/deeplearning/espcn.py
index dc11ac89..c506a4f5 100644
--- a/modules/deeplearning/espcn.py
+++ b/modules/deeplearning/espcn.py
@@ -173,6 +173,7 @@ class ESPCN:
self.X_img = tf.keras.Input(shape=(None, None, self.n_chans))
# self.X_img = tf.keras.Input(shape=(36, 36, self.n_chans))
self.X_img = tf.keras.Input(shape=(32, 32, self.n_chans))
+ # self.X_img = tf.keras.Input(shape=(66, 66, self.n_chans))
self.inputs.append(self.X_img)
@@ -196,12 +197,12 @@ class ESPCN:
# label = label[:, label_idx, :, :]
label = label[:, label_idx, 3:67, 3:67]
label = np.expand_dims(label, axis=3)
- #label = tf.image.resize(label, (32, 32), method='nearest').numpy()
+ label = tf.image.resize(label, (32, 32), method='nearest').numpy()
# data = data[:, data_idx, :, :]
data = data[:, data_idx, 3:67, 3:67]
data = np.expand_dims(data, axis=3)
- #data = tf.image.resize(data, (32, 32), method='nearest').numpy()
+ data = tf.image.resize(data, (32, 32), method='nearest').numpy()
# data = tf.image.resize(data, (36, 36)).numpy()
data = data.astype(np.float32)
@@ -346,6 +347,8 @@ class ESPCN:
print('input: ', conv.shape)
conv = conv_b = tf.keras.layers.Conv2D(num_filters, kernel_size=3, padding=padding)(input_2d)
+ # conv = conv_b = tf.keras.layers.Conv2D(num_filters, kernel_size=3, padding='VALID')(input_2d)
+ print(conv.shape)
if NOISE_TRAINING:
conv = conv_b = tf.keras.layers.GaussianNoise(stddev=NOISE_STDDEV)(conv)
--
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