From 4a7dccb73cf347ae58bfc8aaa23b77ef9a9af500 Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Fri, 20 Jan 2023 14:50:21 -0600
Subject: [PATCH] snapshot...
---
modules/deeplearning/srcnn_l1b_l2.py | 6 +++---
1 file changed, 3 insertions(+), 3 deletions(-)
diff --git a/modules/deeplearning/srcnn_l1b_l2.py b/modules/deeplearning/srcnn_l1b_l2.py
index c89420f9..b344ac68 100644
--- a/modules/deeplearning/srcnn_l1b_l2.py
+++ b/modules/deeplearning/srcnn_l1b_l2.py
@@ -37,6 +37,7 @@ NOISE_STDDEV = 0.01
DO_AUGMENT = True
DO_SMOOTH = False
+SIGMA = 0.5
DO_ZERO_OUT = False
DO_ESPCN = False # Note: If True, cannot do mixed resolution input fields (Adjust accordingly below)
@@ -63,7 +64,6 @@ label_param = 'cld_opd_dcomp'
params = ['temp_11_0um_nom', 'temp_12_0um_nom', 'refl_0_65um_nom', label_param]
data_params_half = ['temp_11_0um_nom']
data_params_full = ['refl_0_65um_nom']
-# data_params = []
label_idx = params.index(label_param)
@@ -307,7 +307,7 @@ class SRCNN:
tmp = tmp.copy()
tmp = np.where(np.isnan(tmp), 0, tmp)
if DO_SMOOTH:
- tmp = smooth_2d(tmp, sigma=0.5)
+ tmp = smooth_2d(tmp, sigma=SIGMA)
if DO_ESPCN:
tmp = tmp[:, slc_y_2, slc_x_2]
else: # Half res upsampled to full res:
@@ -331,7 +331,7 @@ class SRCNN:
label = label.copy()
if DO_SMOOTH:
label = np.where(np.isnan(label), 0, label)
- label = smooth_2d(label, sigma=0.5)
+ label = smooth_2d(label, sigma=SIGMA)
label = label[:, y_128, x_128]
if label_param != 'cloud_probability':
--
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