From 616c28af9cf9bcef2fd40132d9bb02c94e82b90c Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Sun, 19 Mar 2023 14:57:11 -0500
Subject: [PATCH] snapshot...
---
modules/deeplearning/cnn_cld_frac.py | 12 ------------
1 file changed, 12 deletions(-)
diff --git a/modules/deeplearning/cnn_cld_frac.py b/modules/deeplearning/cnn_cld_frac.py
index e486fe19..31ad79bb 100644
--- a/modules/deeplearning/cnn_cld_frac.py
+++ b/modules/deeplearning/cnn_cld_frac.py
@@ -37,7 +37,6 @@ NOISE_TRAINING = False
NOISE_STDDEV = 0.01
DO_AUGMENT = True
-DO_SMOOTH = True
SIGMA = 1.0
DO_ZERO_OUT = False
DO_ESPCN = False # Note: If True, cannot do mixed resolution input fields (Adjust accordingly below)
@@ -374,8 +373,6 @@ class SRCNN:
else: # Half res upsampled to full res:
tmp = upsample(tmp)
tmp = normalize(tmp, param, mean_std_dct)
- if DO_ADD_NOISE:
- tmp = add_noise(tmp, noise_scale=NOISE_STDDEV)
data_norm.append(tmp)
for param in data_params_full:
@@ -386,8 +383,6 @@ class SRCNN:
# Full res:
tmp = tmp[:, slc_y, slc_x]
tmp = normalize(tmp, param, mean_std_dct)
- if DO_ADD_NOISE:
- tmp = add_noise(tmp, noise_scale=NOISE_STDDEV)
data_norm.append(tmp)
# ---------------------------------------------------
tmp = input_data[:, label_idx, :, :]
@@ -401,13 +396,6 @@ class SRCNN:
tmp = tmp[:, slc_y, slc_x]
if label_param != 'cloud_probability':
tmp = normalize(tmp, label_param, mean_std_dct)
- if DO_ADD_NOISE:
- tmp = add_noise(tmp, noise_scale=NOISE_STDDEV)
- else:
- if DO_ADD_NOISE:
- tmp = add_noise(tmp, noise_scale=NOISE_STDDEV)
- tmp = np.where(tmp < 0.0, 0.0, tmp)
- tmp = np.where(tmp > 1.0, 1.0, tmp)
data_norm.append(tmp)
# ---------
data = np.stack(data_norm, axis=3)
--
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