From eb456941e089f48c8f63b9765909b2d51c23dcfb Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Thu, 3 Nov 2022 15:49:45 -0500
Subject: [PATCH] snapshot...
---
modules/deeplearning/srcnn_l1b_l2.py | 14 +++++++++++---
1 file changed, 11 insertions(+), 3 deletions(-)
diff --git a/modules/deeplearning/srcnn_l1b_l2.py b/modules/deeplearning/srcnn_l1b_l2.py
index 8c989a17..1c778e95 100644
--- a/modules/deeplearning/srcnn_l1b_l2.py
+++ b/modules/deeplearning/srcnn_l1b_l2.py
@@ -709,21 +709,29 @@ def run_restore_static(directory, ckpt_dir):
def run_evaluate_static(in_file, out_file, ckpt_dir):
+ N = 4
+ sub_y, sub_x = (N+1) * 128, (N+1) * 128
+ y_0, x_0, = 2500 - int(sub_y/2), 2500 - int(sub_x/2)
+
+ slc_y_2, slc_x_2 = slice(1, 128*N + 6, 2), slice(1, 128*N + 6, 2)
+ y_2, x_2 = np.arange((128*N)/2 + 3), np.arange((128*N)/2 + 3)
+ t, s = np.arange(1, (128*N)/2 + 2, 0.5), np.arange(1, (128*N)/2 + 2, 0.5)
+
h5f = h5py.File(in_file, 'r')
grd_a = get_grid_values_all(h5f, 'temp_11_0um_nom')
- grd_a = grd_a[2432:2944, 2432:2944]
+ grd_a = grd_a[y_0:y_0+sub_y, x_0:x_0+sub_x]
grd_a = grd_a[slc_y_2, slc_x_2]
grd_a = normalize(grd_a, 'temp_11_0um_nom', mean_std_dct)
grd_a = resample_2d_linear_one(x_2, y_2, grd_a, t, s)
grd_b = get_grid_values_all(h5f, 'refl_0_65um_nom')
- grd_b = grd_b[2432:2944, 2432:2944]
+ grd_b = grd_b[y_0:y_0+sub_y, x_0:x_0+sub_x]
grd_b = grd_b[slc_y_2, slc_x_2]
grd_b = normalize(grd_b, 'refl_0_65um_nom', mean_std_dct)
grd_b = resample_2d_linear_one(x_2, y_2, grd_b, t, s)
grd_c = get_grid_values_all(h5f, label_param)
- grd_c = grd_c[2432:2944, 2432:2944]
+ grd_c = grd_c[y_0:y_0+sub_y, x_0:x_0+sub_x]
grd_c = grd_c[slc_y_2, slc_x_2]
if label_param != 'cloud_fraction':
grd_c = normalize(grd_c, label_param, mean_std_dct)
--
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