From a2bd5bc8cfd2e001d11cdbff0833b66a0ad7fc1c Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Tue, 29 Aug 2023 09:27:15 -0500
Subject: [PATCH] snapshot...
---
modules/deeplearning/cloud_opd_fcn_abi.py | 6 +++---
1 file changed, 3 insertions(+), 3 deletions(-)
diff --git a/modules/deeplearning/cloud_opd_fcn_abi.py b/modules/deeplearning/cloud_opd_fcn_abi.py
index 0c3f8007..314cbf1d 100644
--- a/modules/deeplearning/cloud_opd_fcn_abi.py
+++ b/modules/deeplearning/cloud_opd_fcn_abi.py
@@ -687,7 +687,6 @@ class SRCNN:
preds = np.concatenate(self.test_preds)
inputs = np.concatenate(self.test_input)
cat_cld_frac = np.concatenate(self.test_cat_cf)
- print(labels.shape, preds.shape, cat_cld_frac.shape, inputs.shape)
# labels = denormalize(labels, label_param, mean_std_dct)
# preds = denormalize(preds, label_param, mean_std_dct)
@@ -897,12 +896,13 @@ def run_restore_static(directory, ckpt_dir, out_file=None):
if out_file is not None:
y_hi, x_hi = (Y_LEN // 4) + 1, (X_LEN // 4) + 1
np.save(out_file,
- [labels, preds,
+ [labels[:, :, :, 0], preds[:, :, :, 0],
inputs[:, 1:y_hi, 1:x_hi, 0],
descale(inputs[:, 1:y_hi, 1:x_hi, 1], 'refl_0_65um_nom', mean_std_dct),
descale(inputs[:, 1:y_hi, 1:x_hi, 2], 'refl_0_65um_nom', mean_std_dct),
inputs[:, 1:y_hi, 1:x_hi, 3],
- descale(inputs[:, 1:y_hi, 1:x_hi, 4], label_param, mean_std_dct)])
+ descale(inputs[:, 1:y_hi, 1:x_hi, 4], label_param, mean_std_dct),
+ cat_cld_frac[:, :, :]])
def run_evaluate_static(in_file, out_file, ckpt_dir):
--
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