From 1980c56bd6b27779cf29d7713181af352746e196 Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Wed, 30 Aug 2023 11:18:22 -0500
Subject: [PATCH] snapshot...
---
modules/deeplearning/cloud_opd_fcn_abi.py | 13 ++++++++-----
1 file changed, 8 insertions(+), 5 deletions(-)
diff --git a/modules/deeplearning/cloud_opd_fcn_abi.py b/modules/deeplearning/cloud_opd_fcn_abi.py
index d4ce79a6..bc49fe6e 100644
--- a/modules/deeplearning/cloud_opd_fcn_abi.py
+++ b/modules/deeplearning/cloud_opd_fcn_abi.py
@@ -4,7 +4,8 @@ from deeplearning.cloud_fraction_fcn_abi import get_label_data_5cat
from util.plot_cm import confusion_matrix_values
from util.augment import augment_image
from util.setup_cloud_fraction import logdir, modeldir, now, ancillary_path
-from util.util import EarlyStop, normalize, denormalize, scale, descale, get_grid_values_all, make_tf_callable_generator
+from util.util import EarlyStop, normalize, denormalize, scale, scale2, descale, \
+ get_grid_values_all, make_tf_callable_generator
import glob
import os, datetime
import numpy as np
@@ -314,7 +315,8 @@ class SRCNN:
# 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 = np.where(np.isnan(tmp), 0, tmp)
+ tmp = scale2(tmp, 0.0, 20.0)
data_norm.append(tmp)
tmp = input_label[:, label_idx_i, :, :]
@@ -335,7 +337,8 @@ class SRCNN:
cat_cf = get_label_data_5cat(cld_prob)
self.test_cat_cf.append(cat_cf)
label = get_cldy_frac_opd(cld_prob, label)
- label = scale(label, label_param, mean_std_dct)
+ # label = scale(label, label_param, mean_std_dct)
+ label = np.where(np.isnan(label), 0, label)
label = np.where(np.isnan(label), 0, label)
label = np.expand_dims(label, axis=3)
@@ -680,8 +683,8 @@ class SRCNN:
# labels = denormalize(labels, label_param, mean_std_dct)
# preds = denormalize(preds, label_param, mean_std_dct)
- labels = descale(labels, label_param, mean_std_dct)
- preds = descale(preds, label_param, mean_std_dct)
+ # labels = descale(labels, label_param, mean_std_dct)
+ # preds = descale(preds, label_param, mean_std_dct)
return labels, cat_cld_frac, preds, inputs
--
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