From 8bfbbd68ad9959c68ad696fa2f124be053c83b33 Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Mon, 27 Feb 2023 15:11:27 -0600
Subject: [PATCH] snapshot...
---
modules/deeplearning/cnn_cld_frac.py | 49 ----------------------------
1 file changed, 49 deletions(-)
diff --git a/modules/deeplearning/cnn_cld_frac.py b/modules/deeplearning/cnn_cld_frac.py
index 9f922b61..b60d5c40 100644
--- a/modules/deeplearning/cnn_cld_frac.py
+++ b/modules/deeplearning/cnn_cld_frac.py
@@ -219,55 +219,6 @@ def get_min_max_std(grd_k):
return lo, hi, std
-# def get_label_data(grd_k):
-# grd_k = np.where(np.isnan(grd_k), 0, grd_k)
-#
-# a = grd_k[:, 0::2, 0::2]
-# b = grd_k[:, 1::2, 0::2]
-# c = grd_k[:, 0::2, 1::2]
-# d = grd_k[:, 1::2, 1::2]
-# s_t = a + b + c + d
-# s_t /= 4.0
-#
-# blen, ylen, xlen = s_t.shape
-# s_t = s_t.flatten()
-# cat_0 = np.logical_and(s_t >= 0.0, s_t < 0.2)
-# cat_1 = np.logical_and(s_t >= 0.2, s_t < 0.7)
-# cat_2 = np.logical_and(s_t >= 0.7, s_t <= 1.0)
-#
-# s_t[cat_0] = 0
-# s_t[cat_1] = 1
-# s_t[cat_2] = 2
-#
-# s_t = s_t.reshape((blen, ylen, xlen))
-#
-# return s_t
-
-
-# def get_label_data(grd_k):
-# grd_k = np.where(np.isnan(grd_k), 0, grd_k)
-# cat_0 = np.logical_and(grd_k >= 0.0, grd_k < 0.15)
-# cat_1 = np.logical_and(grd_k >= 0.15, grd_k < 0.85)
-# cat_2 = np.logical_and(grd_k >= 0.85, grd_k <= 1.0)
-# grd_k[cat_0] = -1
-# grd_k[cat_1] = 0
-# grd_k[cat_2] = 1
-#
-# a = grd_k[:, 0::2, 0::2]
-# b = grd_k[:, 1::2, 0::2]
-# c = grd_k[:, 0::2, 1::2]
-# d = grd_k[:, 1::2, 1::2]
-# s = a + b + c + d
-#
-# cat_0 = s <= -3
-# cat_1 = np.logical_and(s > -3, s < 2)
-# cat_2 = s >= 2
-# s[cat_0] = 0
-# s[cat_1] = 1
-# s[cat_2] = 2
-#
-# return s
-
def get_label_data(grd_k):
grd_k = np.where(np.isnan(grd_k), 0, grd_k)
--
GitLab