From 92e4d88b4907a09d3b295137670954b60982cf0a Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Sat, 30 Dec 2023 16:14:29 -0600
Subject: [PATCH] snapshot...
---
modules/deeplearning/cloud_fraction_fcn_viirs.py | 6 +++++-
1 file changed, 5 insertions(+), 1 deletion(-)
diff --git a/modules/deeplearning/cloud_fraction_fcn_viirs.py b/modules/deeplearning/cloud_fraction_fcn_viirs.py
index 0009e002..69ff6d0f 100644
--- a/modules/deeplearning/cloud_fraction_fcn_viirs.py
+++ b/modules/deeplearning/cloud_fraction_fcn_viirs.py
@@ -1060,8 +1060,8 @@ def analyze_5cat(file):
# cld_prob = tup[6]
# from util.plot import plot_image
# cm = confusion_matrix(lbls.flatten(), pred.flatten())
-# plot_confusion_matrix(cm, ['CLR', '1/4', '1/2', '3/4', 'CLD'], normalize=True, axis=0)
# plot_confusion_matrix(cm, ['CLR', '0.13', '0.31', '0.50', '0.69', '0.88', 'CLD'], normalize=True, axis=0)
+# # plot_confusion_matrix(cm, ['CLR', '1/4', '1/2', '3/4', 'CLD'], normalize=True, axis=0)
# lbls = lbls.flatten()
# pred = pred.flatten()
@@ -1071,11 +1071,15 @@ def analyze_5cat(file):
# cat_2 = lbls == 2
# cat_3 = lbls == 3
# cat_4 = lbls == 4
+# cat_5 = lbls == 5
+# cat_6 = lbls == 6
# plt.hist(cld_prob[cat_0], log=True, histtype='step')
# plt.hist(cld_prob[cat_1], log=True, histtype='step')
# plt.hist(cld_prob[cat_2], log=True, histtype='step')
# plt.hist(cld_prob[cat_3], log=True, histtype='step')
# plt.hist(cld_prob[cat_4], log=True, histtype='step')
+# plt.hist(cld_prob[cat_5], log=True, histtype='step')
+# plt.hist(cld_prob[cat_6], log=True, histtype='step')
# from deeplearning.cloud_fraction_fcn_viirs import run_evaluate_static
# run_evaluate_static('/Users/tomrink/clavrx_VNP02IMG.A2019306.1912.001.2019307003236.uwssec.nc',
--
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