From de47942676940aef77a35a5ea380800b4cdef18e Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Mon, 20 Feb 2023 15:19:04 -0600
Subject: [PATCH] snapshot...
---
modules/deeplearning/cnn_cld_frac.py | 22 ----------------------
1 file changed, 22 deletions(-)
diff --git a/modules/deeplearning/cnn_cld_frac.py b/modules/deeplearning/cnn_cld_frac.py
index 7c2824a6..2e78ba0e 100644
--- a/modules/deeplearning/cnn_cld_frac.py
+++ b/modules/deeplearning/cnn_cld_frac.py
@@ -1048,28 +1048,6 @@ def analyze2(nda_m, nda_i):
sub_4x4 = nda_i[k, j*2-1:j*2+3, i*2-1:i*2+3]
cf_i[k, j-1, i-1] = np.sum(sub_4x4)
- # cat_0 = cf_m == 0
- # cat_1 = (cf_m >= 0.1) & (cf_m < 0.13)
- # cat_2 = (cf_m >= 0.2) & (cf_m < 0.23)
- # cat_3 = (cf_m >= 0.3) & (cf_m < 0.34)
- # cat_4 = (cf_m >= 0.4) & (cf_m < 0.45)
- # cat_5 = (cf_m >= 0.5) & (cf_m < 0.56)
- # cat_6 = (cf_m >= 0.6) & (cf_m < 0.67)
- # cat_7 = (cf_m >= 0.7) & (cf_m < 0.78)
- # cat_8 = (cf_m >= 0.8) & (cf_m < 0.89)
- # cat_9 = cf_m == 1.0
- #
- # cf_m[cat_0] = 0
- # cf_m[cat_1] = 1
- # cf_m[cat_2] = 2
- # cf_m[cat_3] = 3
- # cf_m[cat_4] = 4
- # cf_m[cat_5] = 5
- # cf_m[cat_6] = 6
- # cf_m[cat_7] = 7
- # cf_m[cat_8] = 8
- # cf_m[cat_9] = 9
-
for k in range(n_imgs):
cat_0 = (cf_m[k, ] == 0)
cat_1 = (cf_m[k, ] > 0) & (cf_m[k, ] < 9)
--
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