From b896241c29ecc18bc5749c54d14fe619e264bf0d Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Wed, 24 May 2023 09:30:41 -0500
Subject: [PATCH] snapshot...
---
modules/deeplearning/cloud_opd_srcnn_abi.py | 7 ++-----
1 file changed, 2 insertions(+), 5 deletions(-)
diff --git a/modules/deeplearning/cloud_opd_srcnn_abi.py b/modules/deeplearning/cloud_opd_srcnn_abi.py
index 108921d7..3b59be2a 100644
--- a/modules/deeplearning/cloud_opd_srcnn_abi.py
+++ b/modules/deeplearning/cloud_opd_srcnn_abi.py
@@ -730,8 +730,7 @@ def run_evaluate_static(in_file, out_file, ckpt_dir):
cld_opd = cld_opd[nn.slc_y_m, nn.slc_x_m]
cld_opd = np.expand_dims(cld_opd, axis=0)
cld_opd = nn.upsample(cld_opd)
- # cld_opd = normalize(cld_opd, label_param, mean_std_dct)
- cld_opd = scale(cld_opd, label_param, mean_std_dct)
+ cld_opd = normalize(cld_opd, label_param, mean_std_dct)
print('OPD done')
data = np.stack([bt, refl, cld_opd], axis=3)
@@ -739,7 +738,6 @@ def run_evaluate_static(in_file, out_file, ckpt_dir):
h5f.close()
cld_opd_sres = nn.run_evaluate(data, ckpt_dir)
- # cld_opd_sres = denormalize(cld_opd_sres, label_param, mean_std_dct)
cld_opd_sres = descale(cld_opd_sres, label_param, mean_std_dct)
_, ylen, xlen, _ = cld_opd_sres.shape
print('OUT: ', ylen, xlen)
@@ -754,8 +752,7 @@ def run_evaluate_static(in_file, out_file, ckpt_dir):
cld_opd_out[0:(ylen+2*border), 0:(xlen+2*border)] = cld_opd[0, :, :]
refl_out = denormalize(refl_out, 'refl_0_65um_nom', mean_std_dct)
- # cld_opd_out = denormalize(cld_opd_out, label_param, mean_std_dct)
- cld_opd_out = descale(cld_opd_out, label_param, mean_std_dct)
+ cld_opd_out = denormalize(cld_opd_out, label_param, mean_std_dct)
if out_file is not None:
np.save(out_file, (cld_opd_sres_out, refl_out, cld_opd_out, cld_opd_hres))
--
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