From f409db0f748b0a9727179b552ef2770ef7e1061b Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Fri, 17 Feb 2023 15:20:02 -0600
Subject: [PATCH] snapshot...
---
modules/deeplearning/cnn_cld_frac.py | 43 +++++++++++++++-------------
1 file changed, 23 insertions(+), 20 deletions(-)
diff --git a/modules/deeplearning/cnn_cld_frac.py b/modules/deeplearning/cnn_cld_frac.py
index c5ed1565..7c2824a6 100644
--- a/modules/deeplearning/cnn_cld_frac.py
+++ b/modules/deeplearning/cnn_cld_frac.py
@@ -1032,19 +1032,21 @@ def analyze(file='/Users/tomrink/cld_opd_out.npy'):
def analyze2(nda_m, nda_i):
+ n_imgs = nda_m.shape[0]
nda_m = np.where(nda_m < 0.5, 0, 1)
nda_i = np.where(nda_i < 0.5, 0, 1)
- cf_m = np.zeros((64, 64))
- cf_i = np.zeros((64, 64))
+ cf_m = np.zeros((n_imgs, 64, 64))
+ cf_i = np.zeros((n_imgs, 64, 64))
- for j in range(1, 65):
- for i in range(1, 65):
- sub_3x3 = nda_m[j-1:j+2, i-1:i+2]
- cf_m[j-1, i-1] = np.sum(sub_3x3)
+ for k in range(n_imgs):
+ for j in range(1, 65):
+ for i in range(1, 65):
+ sub_3x3 = nda_m[k, j-1:j+2, i-1:i+2]
+ cf_m[k, j-1, i-1] = np.sum(sub_3x3)
- sub_4x4 = nda_i[j*2-1:j*2+3, i*2-1:i*2+3]
- cf_i[j-1, i-1] = np.sum(sub_4x4)
+ 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)
@@ -1068,21 +1070,22 @@ def analyze2(nda_m, nda_i):
# cf_m[cat_8] = 8
# cf_m[cat_9] = 9
- cat_0 = (cf_m == 0)
- cat_1 = (cf_m > 0) & (cf_m < 9)
- cat_2 = cf_m == 9
+ for k in range(n_imgs):
+ cat_0 = (cf_m[k, ] == 0)
+ cat_1 = (cf_m[k, ] > 0) & (cf_m[k, ] < 9)
+ cat_2 = cf_m[k, ] == 9
- cf_m[cat_0] = 0
- cf_m[cat_1] = 1
- cf_m[cat_2] = 2
+ cf_m[k, cat_0] = 0
+ cf_m[k, cat_1] = 1
+ cf_m[k, cat_2] = 2
- cat_0 = (cf_i == 0)
- cat_1 = (cf_i > 0) & (cf_i < 16)
- cat_2 = cf_i == 16
+ cat_0 = (cf_i[k, ] == 0)
+ cat_1 = (cf_i[k, ] > 0) & (cf_i[k, ] < 16)
+ cat_2 = cf_i[k, ] == 16
- cf_i[cat_0] = 0
- cf_i[cat_1] = 1
- cf_i[cat_2] = 2
+ cf_i[k, cat_0] = 0
+ cf_i[k, cat_1] = 1
+ cf_i[k, cat_2] = 2
return cf_m, cf_i
--
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