From 797625f7084f8f1695d79a480f5a41ca9d59e89b Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Thu, 20 Apr 2023 13:12:54 -0500
Subject: [PATCH] snapshot...
---
.../deeplearning/cloud_fraction_fcn_abi.py | 36 +++++++++----------
1 file changed, 18 insertions(+), 18 deletions(-)
diff --git a/modules/deeplearning/cloud_fraction_fcn_abi.py b/modules/deeplearning/cloud_fraction_fcn_abi.py
index 02bdc618..717009d1 100644
--- a/modules/deeplearning/cloud_fraction_fcn_abi.py
+++ b/modules/deeplearning/cloud_fraction_fcn_abi.py
@@ -154,27 +154,31 @@ def get_min_max_std(grd_k):
return lo, hi, std, avg
-def get_label_data(grd_k):
+def get_label_data_5cat(grd_k):
grd_k = np.where(np.isnan(grd_k), 0, grd_k)
- grd_k = np.where(grd_k < 0.50, 0, 1)
+ grd_k = np.where(grd_k < 0.5, 0, 1)
- a = grd_k[:, 0::4, 0::4]
- b = grd_k[:, 1::4, 0::4]
- c = grd_k[:, 0::4, 1::4]
- d = grd_k[:, 1::4, 1::4]
- s = a + b + c + d
+ s = grd_k[:, 0::4, 0::4] + grd_k[:, 1::4, 0::4] + grd_k[:, 2::4, 0::4] + grd_k[:, 3::4, 0::4] + \
+ grd_k[:, 0::4, 1::4] + grd_k[:, 1::4, 1::4] + grd_k[:, 2::4, 1::4] + grd_k[:, 3::4, 1::4] + \
+ grd_k[:, 0::4, 2::4] + grd_k[:, 1::4, 2::4] + grd_k[:, 2::4, 2::4] + grd_k[:, 3::4, 2::4] + \
+ grd_k[:, 0::4, 3::4] + grd_k[:, 1::4, 3::4] + grd_k[:, 2::4, 3::4] + grd_k[:, 3::4, 3::4]
+
+ cat_0 = np.logical_and(s >= 0, s < 2)
+ cat_1 = np.logical_and(s >= 2, s < 6)
+ cat_2 = np.logical_and(s >= 6, s < 11)
+ cat_3 = np.logical_and(s >= 11, s < 15)
+ cat_4 = np.logical_and(s >= 15, s <= 16)
- cat_0 = (s <= 1)
- cat_1 = np.logical_and(s > 1, s < 15)
- cat_2 = (s >= 15)
s[cat_0] = 0
s[cat_1] = 1
s[cat_2] = 2
+ s[cat_3] = 3
+ s[cat_4] = 4
return s
-def get_label_data_5cat(grd_k):
+def get_label_data(grd_k):
grd_k = np.where(np.isnan(grd_k), 0, grd_k)
grd_k = np.where(grd_k < 0.5, 0, 1)
@@ -183,17 +187,13 @@ def get_label_data_5cat(grd_k):
grd_k[:, 0::4, 2::4] + grd_k[:, 1::4, 2::4] + grd_k[:, 2::4, 2::4] + grd_k[:, 3::4, 2::4] + \
grd_k[:, 0::4, 3::4] + grd_k[:, 1::4, 3::4] + grd_k[:, 2::4, 3::4] + grd_k[:, 3::4, 3::4]
- cat_0 = np.logical_and(s >= 0, s < 2)
- cat_1 = np.logical_and(s >= 2, s < 6)
- cat_2 = np.logical_and(s >= 6, s < 11)
- cat_3 = np.logical_and(s >= 11, s < 15)
- cat_4 = np.logical_and(s >= 15, s <= 16)
+ cat_0 = np.logical_and(s >= 0, s < 3)
+ cat_1 = np.logical_and(s >= 3, s < 14)
+ cat_2 = np.logical_and(s >= 14, s <= 16)
s[cat_0] = 0
s[cat_1] = 1
s[cat_2] = 2
- s[cat_3] = 3
- s[cat_4] = 4
return s
--
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