From 4270846f9ea5dec81533c220a24cb1c91e7dbf0f Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Mon, 9 Jan 2023 21:24:22 -0600
Subject: [PATCH] snapshot...
---
modules/deeplearning/srcnn_l1b_l2.py | 11 ++++++-----
1 file changed, 6 insertions(+), 5 deletions(-)
diff --git a/modules/deeplearning/srcnn_l1b_l2.py b/modules/deeplearning/srcnn_l1b_l2.py
index e203bada..64493a07 100644
--- a/modules/deeplearning/srcnn_l1b_l2.py
+++ b/modules/deeplearning/srcnn_l1b_l2.py
@@ -59,8 +59,8 @@ label_param = 'cld_opd_dcomp'
# label_param = 'cloud_probability'
params = ['temp_11_0um_nom', 'temp_12_0um_nom', 'refl_0_65um_nom', label_param]
-# data_params = ['temp_11_0um_nom']
-data_params = []
+data_params = ['temp_11_0um_nom']
+# data_params = []
label_idx = params.index(label_param)
@@ -260,9 +260,10 @@ class SRCNN:
tmp = tmp.copy()
tmp = np.where(np.isnan(tmp), 0, tmp)
# tmp = smooth_2d(tmp, sigma=1.0)
- tmp = tmp[:, slc_y_2, slc_x_2]
- tmp = resample_2d_linear(x_2, y_2, tmp, t, s)
- tmp = tmp[:, y_k, x_k]
+ tmp = tmp[:, slc_y, slc_x]
+ # tmp = tmp[:, slc_y_2, slc_x_2]
+ # tmp = resample_2d_linear(x_2, y_2, tmp, t, s)
+ # tmp = tmp[:, y_k, x_k]
tmp = normalize(tmp, param, mean_std_dct)
if DO_ADD_NOISE:
tmp = add_noise(tmp, noise_scale=NOISE_STDDEV)
--
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