From 25083a84a1015a3d2435b760be34bb17a9fcfb08 Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Mon, 24 Jul 2023 13:53:20 -0500
Subject: [PATCH] snapshot...
---
modules/deeplearning/cloud_fraction_fcn_abi.py | 13 +++++++------
1 file changed, 7 insertions(+), 6 deletions(-)
diff --git a/modules/deeplearning/cloud_fraction_fcn_abi.py b/modules/deeplearning/cloud_fraction_fcn_abi.py
index 8728acfc..9046bd58 100644
--- a/modules/deeplearning/cloud_fraction_fcn_abi.py
+++ b/modules/deeplearning/cloud_fraction_fcn_abi.py
@@ -73,7 +73,7 @@ print('data_params_full: ', data_params_full)
print('label_param: ', label_param)
KERNEL_SIZE = 3
-X_LEN = Y_LEN = 64
+X_LEN = Y_LEN = 128
if KERNEL_SIZE == 3:
slc_x = slice(0, int(X_LEN/4) + 2)
@@ -911,13 +911,14 @@ def run_restore_static(directory, ckpt_dir, out_file=None):
nn = SRCNN()
labels, preds, inputs = nn.run_restore(directory, ckpt_dir)
if out_file is not None:
+ y_hi, x_hi = (Y_LEN // 4) + 1, (X_LEN // 4) + 1
np.save(out_file,
[np.squeeze(labels), preds.argmax(axis=3),
- denormalize(inputs[:, 1:17, 1:17, 0], 'temp_11_0um_nom', mean_std_dct),
- denormalize(inputs[:, 1:17, 1:17, 1], 'refl_0_65um_nom', mean_std_dct),
- denormalize(inputs[:, 1:17, 1:17, 2], 'refl_0_65um_nom', mean_std_dct),
- inputs[:, 1:17, 1:17, 3],
- inputs[:, 1:17, 1:17, 4]])
+ denormalize(inputs[:, 1:y_hi, 1:x_hi, 0], 'temp_11_0um_nom', mean_std_dct),
+ denormalize(inputs[:, 1:y_hi, 1:x_hi, 1], 'refl_0_65um_nom', mean_std_dct),
+ denormalize(inputs[:, 1:y_hi, 1:x_hi, 2], 'refl_0_65um_nom', mean_std_dct),
+ inputs[:, 1:y_hi, 1:x_hi, 3],
+ inputs[:, 1:y_hi, 1:x_hi, 4]])
def run_evaluate_static(in_file, out_file, ckpt_dir):
--
GitLab