From 22520fae310f0d9e3a4c511baa75ba770f6d598d Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Thu, 13 Jul 2023 10:57:05 -0500
Subject: [PATCH] `snapshot...`
---
modules/deeplearning/cloud_opd_srcnn_abi.py | 7 ++++---
1 file changed, 4 insertions(+), 3 deletions(-)
diff --git a/modules/deeplearning/cloud_opd_srcnn_abi.py b/modules/deeplearning/cloud_opd_srcnn_abi.py
index 8f277a61..cfff1753 100644
--- a/modules/deeplearning/cloud_opd_srcnn_abi.py
+++ b/modules/deeplearning/cloud_opd_srcnn_abi.py
@@ -775,7 +775,7 @@ class SRCNN:
LEN_X = 2 * (LEN_X - 8)
t0 = time.time()
- cld_opd_sres, LEN_Y_in, LEN_X_in = self.run_inference_(bt, refl, refl_sub_lo, refl_sub_hi, refl_sub_std, cld_opd, LEN_Y, LEN_X)
+ cld_opd_sres, LEN_Y_in, LEN_X_in = self.run_inference_(bt, refl, cld_opd, refl_sub_lo, refl_sub_hi, refl_sub_std, LEN_Y, LEN_X)
t1 = time.time()
print('inference time: ', (t1 - t0))
print(cld_opd_sres.shape)
@@ -791,7 +791,7 @@ class SRCNN:
else:
return cld_opd_sres
- def run_inference_(self, bt, refl, refl_sub_lo, refl_sub_hi, refl_sub_std, cld_opd, LEN_Y, LEN_X):
+ def run_inference_(self, bt, refl, cld_opd, refl_sub_lo, refl_sub_hi, refl_sub_std, LEN_Y, LEN_X):
self.slc_x_m = slice(1, int(LEN_X / 2) + 4)
self.slc_y_m = slice(1, int(LEN_Y / 2) + 4)
@@ -849,7 +849,8 @@ class SRCNN:
t1 = time.time()
print('upsample/normalize time: ', (t1 - t0))
- data = np.stack([bt_us, refl_us, refl_sub_lo, refl_sub_hi, refl_sub_std, cld_opd_us], axis=3)
+ #data = np.stack([bt_us, refl_us, refl_sub_lo, refl_sub_hi, refl_sub_std, cld_opd_us], axis=3)
+ data = np.stack([bt_us, refl_us, cld_opd_us, refl_sub_std], axis=3)
cld_opd_sres = self.do_inference(data)
cld_opd_sres = denormalize(cld_opd_sres, label_param, mean_std_dct)
--
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