From 55dc8036e11a9424dac00d04b25e0041cb7075de Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Wed, 12 Apr 2023 10:10:56 -0500
Subject: [PATCH] snapshot...
---
modules/deeplearning/cloud_opd_srcnn.py | 28 ++++++++++++-------------
1 file changed, 14 insertions(+), 14 deletions(-)
diff --git a/modules/deeplearning/cloud_opd_srcnn.py b/modules/deeplearning/cloud_opd_srcnn.py
index 1eebf7d6..db0acc2f 100644
--- a/modules/deeplearning/cloud_opd_srcnn.py
+++ b/modules/deeplearning/cloud_opd_srcnn.py
@@ -259,7 +259,7 @@ class SRCNN:
self.test_label_files = None
# self.n_chans = len(data_params_half) + len(data_params_full) + 1
- self.n_chans = 3
+ self.n_chans = 5
self.X_img = tf.keras.Input(shape=(None, None, self.n_chans))
@@ -302,20 +302,20 @@ class SRCNN:
tmp = input_label[:, idx, :, :]
tmp = np.where(np.isnan(tmp), 0, tmp)
- # lo, hi, std, avg = get_min_max_std(tmp)
- # lo = upsample_nearest(lo)
- # hi = upsample_nearest(hi)
- # avg = upsample_nearest(avg)
- # lo = normalize(lo, param, mean_std_dct)
- # hi = normalize(hi, param, mean_std_dct)
- # avg = normalize(avg, param, mean_std_dct)
- #
- # data_norm.append(lo[:, slc_y, slc_x])
- # data_norm.append(hi[:, slc_y, slc_x])
- # data_norm.append(avg[:, slc_y, slc_x])
+ lo, hi, std, avg = get_min_max_std(tmp)
+ lo = upsample_nearest(lo)
+ hi = upsample_nearest(hi)
+ avg = upsample_nearest(avg)
+ lo = normalize(lo, param, mean_std_dct)
+ hi = normalize(hi, param, mean_std_dct)
+ avg = normalize(avg, param, mean_std_dct)
- tmp = normalize(tmp, param, mean_std_dct)
- data_norm.append(tmp[:, slc_y, slc_x])
+ data_norm.append(lo[:, slc_y, slc_x])
+ data_norm.append(hi[:, slc_y, slc_x])
+ data_norm.append(avg[:, slc_y, slc_x])
+
+ # tmp = normalize(tmp, param, mean_std_dct)
+ # data_norm.append(tmp[:, slc_y, slc_x])
# ---------------------------------------------------
tmp = input_data[:, label_idx, :, :]
tmp = np.where(np.isnan(tmp), 0, tmp)
--
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