From 1047044a7ccb4e0108fde3ca2faaf137f98920e5 Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Tue, 16 May 2023 13:28:32 -0500
Subject: [PATCH] snapshot...
---
modules/deeplearning/cloud_opd_srcnn_abi.py | 18 +++++++++---------
1 file changed, 9 insertions(+), 9 deletions(-)
diff --git a/modules/deeplearning/cloud_opd_srcnn_abi.py b/modules/deeplearning/cloud_opd_srcnn_abi.py
index 634060fb..0f0fb501 100644
--- a/modules/deeplearning/cloud_opd_srcnn_abi.py
+++ b/modules/deeplearning/cloud_opd_srcnn_abi.py
@@ -54,7 +54,7 @@ label_param = 'cld_opd_dcomp'
params = ['temp_11_0um_nom', 'refl_0_65um_nom', label_param]
params_i = ['temp_11_0um_nom', 'refl_0_65um_nom', label_param]
-data_params_half = ['temp_11_0um_nom']
+data_params_half = ['temp_11_0um_nom', 'refl_0_65um_nom']
data_params_full = ['refl_0_65um_nom']
label_idx_i = params_i.index(label_param)
@@ -142,7 +142,7 @@ def get_min_max_std(grd_k):
class SRCNN:
- def __init__(self, LEN_Y=128, LEN_X=128):
+ def __init__(self, LEN_Y=32, LEN_X=32):
self.train_data = None
self.train_label = None
@@ -258,13 +258,13 @@ class SRCNN:
tmp = normalize(tmp, param, mean_std_dct)
data_norm.append(tmp)
- for param in data_params_full:
- idx = params_i.index(param)
- tmp = input_label[:, idx, :, :]
- tmp = np.where(np.isnan(tmp), 0, tmp)
-
- tmp = normalize(tmp, param, mean_std_dct)
- data_norm.append(tmp[:, self.slc_y, self.slc_x])
+ # for param in data_params_full:
+ # idx = params_i.index(param)
+ # tmp = input_label[:, idx, :, :]
+ # tmp = np.where(np.isnan(tmp), 0, tmp)
+ #
+ # tmp = normalize(tmp, param, mean_std_dct)
+ # data_norm.append(tmp[:, self.slc_y, self.slc_x])
# ---------------------------------------------------
tmp = input_label[:, label_idx_i, :, :]
tmp = np.where(np.isnan(tmp), 0, tmp)
--
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