From ccca588e6bb9919490c40a24bdd661c86e5bb37f Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Sun, 14 Aug 2022 20:16:17 -0500
Subject: [PATCH] snapshot...
---
modules/deeplearning/espcn.py | 18 ++++++++----------
1 file changed, 8 insertions(+), 10 deletions(-)
diff --git a/modules/deeplearning/espcn.py b/modules/deeplearning/espcn.py
index f72ed3db..8e41c165 100644
--- a/modules/deeplearning/espcn.py
+++ b/modules/deeplearning/espcn.py
@@ -200,13 +200,12 @@ class ESPCN:
label = np.concatenate(label_s)
data = data[:, data_idx, :, :]
- #data = data[:, data_idx, 3:67, 3:67]
data = resample(x_70, y_70, data, x_70_2, y_70_2)
data = np.expand_dims(data, axis=3)
- # data = tf.image.resize(data, (32, 32)).numpy()
# label = label[:, label_idx, :, :]
- label = label[:, label_idx, 3:67:2, 3:67:2]
+ # label = label[:, label_idx, 3:67:2, 3:67:2]
+ label = label[:, label_idx, 3:67, 3:67]
label = np.expand_dims(label, axis=3)
data = data.astype(np.float32)
@@ -370,12 +369,12 @@ class ESPCN:
conv = conv + conv_b
print(conv.shape)
- #conv = tf.keras.layers.Conv2D(num_filters * (factor ** 2), 3, padding='same')(conv)
+ conv = tf.keras.layers.Conv2D(num_filters * (factor ** 2), 3, padding='same')(conv)
# conv = tf.keras.layers.Conv2D((factor ** 2), 3, padding='same')(conv)
print(conv.shape)
- # conv = tf.nn.depth_to_space(conv, factor)
- # print(conv.shape)
+ conv = tf.nn.depth_to_space(conv, factor)
+ print(conv.shape)
self.logits = tf.keras.layers.Conv2D(1, kernel_size=3, strides=1, padding=padding, name='regression')(conv)
@@ -732,10 +731,9 @@ class ESPCN:
def prepare(param_idx=1, filename='/Users/tomrink/data_valid_40.npy'):
nda = np.load(filename)
#nda = nda[:, param_idx, :, :]
- nda = nda[:, param_idx, 3:67, 3:67]
- nda = np.expand_dims(nda, axis=3)
- # nda_lr = tf.image.resize(nda, (36, 36)).numpy()
- nda_lr = tf.image.resize(nda, (32, 32)).numpy()
+ nda_lr = nda[:, param_idx, 3:67:2, 3:67:2]
+ # nda_lr = resample(x_70, y_70, nda, x_70_2, y_70_2)
+ nda_lr = np.expand_dims(nda_lr, axis=3)
return nda_lr
--
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