From 1c5123f8d023184e7ee125f106be9f4c143109cf Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Thu, 7 Sep 2023 14:47:19 -0500
Subject: [PATCH] snapshot...
---
modules/deeplearning/cloud_opd_fcn_abi.py | 40 ++++++++++++++++-------
1 file changed, 29 insertions(+), 11 deletions(-)
diff --git a/modules/deeplearning/cloud_opd_fcn_abi.py b/modules/deeplearning/cloud_opd_fcn_abi.py
index 61672a37..1ff295c9 100644
--- a/modules/deeplearning/cloud_opd_fcn_abi.py
+++ b/modules/deeplearning/cloud_opd_fcn_abi.py
@@ -333,17 +333,35 @@ class SRCNN:
tmp = tmp[:, slc_y, slc_x]
data_norm.append(tmp)
- for param in sub_fields:
- idx = params.index(param)
- tmp = input_data[:, idx, :, :]
- tmp = tmp[:, slc_y, slc_x]
- if param != 'refl_substddev_ch01':
- # tmp = normalize(tmp, 'refl_0_65um_nom', mean_std_dct)
- tmp = scale(tmp, 'refl_0_65um_nom', mean_std_dct)
- else:
- # tmp = np.where(np.isnan(tmp), 0, tmp)
- tmp = scale2(tmp, 0.0, 20.0)
- data_norm.append(tmp)
+ # for param in sub_fields:
+ # idx = params.index(param)
+ # tmp = input_data[:, idx, :, :]
+ # tmp = tmp[:, slc_y, slc_x]
+ # if param != 'refl_substddev_ch01':
+ # # tmp = normalize(tmp, 'refl_0_65um_nom', mean_std_dct)
+ # tmp = scale(tmp, 'refl_0_65um_nom', mean_std_dct)
+ # else:
+ # # tmp = np.where(np.isnan(tmp), 0, tmp)
+ # tmp = scale2(tmp, 0.0, 20.0)
+ # data_norm.append(tmp)
+
+ idx = params.index(sub_fields[0])
+ tmp = input_data[:, idx, :, :]
+ tmp = tmp[:, slc_y, slc_x]
+ rlo = scale(tmp, 'refl_0_65um_nom', mean_std_dct)
+ data_norm.append(rlo)
+
+ idx = params.index(sub_fields[1])
+ tmp = input_data[:, idx, :, :]
+ tmp = tmp[:, slc_y, slc_x]
+ tmp = scale(tmp, 'refl_0_65um_nom', mean_std_dct)
+ data_norm.append(tmp - rlo)
+
+ idx = params.index(sub_fields[2])
+ tmp = input_data[:, idx, :, :]
+ tmp = tmp[:, slc_y, slc_x]
+ tmp = scale2(tmp, 0.0, 20.0)
+ data_norm.append(tmp)
tmp = input_label[:, label_idx_i, :, :]
tmp = get_grid_cell_mean(tmp)
--
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