From e19a6cc558285736b388bb30eddbb6bb644c49e8 Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Tue, 28 Mar 2023 12:02:14 -0500
Subject: [PATCH] snapshot...
---
modules/deeplearning/cloud_fraction_fcn.py | 8 +-------
1 file changed, 1 insertion(+), 7 deletions(-)
diff --git a/modules/deeplearning/cloud_fraction_fcn.py b/modules/deeplearning/cloud_fraction_fcn.py
index bcd94297..e5433caf 100644
--- a/modules/deeplearning/cloud_fraction_fcn.py
+++ b/modules/deeplearning/cloud_fraction_fcn.py
@@ -761,7 +761,7 @@ def run_restore_static(directory, ckpt_dir, out_file=None):
labels, preds = nn.run_restore(directory, ckpt_dir)
if out_file is not None:
np.save(out_file,
- [np.squeeze(labels), preds.argmax(axis=3), preds[:, :, :, 0], preds[:, :, :, 1], preds[:, :, :, 2]])
+ [np.squeeze(labels), preds.argmax(axis=3)])
def run_evaluate_static(in_file, out_file, ckpt_dir):
@@ -816,9 +816,6 @@ def analyze_3cat(file):
tup = np.load(file, allow_pickle=True)
lbls = tup[0]
pred = tup[1]
- prob_0 = tup[2]
- prob_1 = tup[3]
- prob_2 = tup[4]
lbls = lbls.flatten()
pred = pred.flatten()
@@ -918,9 +915,6 @@ def analyze_5cat(file='/Users/tomrink/cld_opd_frac.npy'):
tup = np.load(file, allow_pickle=True)
lbls = tup[0]
pred = tup[1]
- # prob_0 = tup[2]
- # prob_1 = tup[3]
- # prob_2 = tup[4]
lbls = lbls.flatten()
pred = pred.flatten()
--
GitLab