From 5e5a754a8183093573e45fb12b9004adc70cf28d Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Sun, 1 Jan 2023 13:38:38 -0600
Subject: [PATCH] snapshot...
---
modules/deeplearning/srcnn_l1b_l2.py | 8 ++++----
1 file changed, 4 insertions(+), 4 deletions(-)
diff --git a/modules/deeplearning/srcnn_l1b_l2.py b/modules/deeplearning/srcnn_l1b_l2.py
index 72ad40aa..71a56352 100644
--- a/modules/deeplearning/srcnn_l1b_l2.py
+++ b/modules/deeplearning/srcnn_l1b_l2.py
@@ -272,7 +272,7 @@ class SRCNN:
tmp = input_data[:, label_idx, :, :]
tmp = tmp.copy()
tmp = np.where(np.isnan(tmp), 0, tmp)
- tmp = smooth_2d(tmp, sigma=1.0)
+ # tmp = smooth_2d(tmp, sigma=1.0)
tmp = tmp[:, slc_y_2, slc_x_2]
tmp = resample_2d_linear(x_2, y_2, tmp, t, s)
tmp = tmp[:, y_k, x_k]
@@ -472,7 +472,7 @@ class SRCNN:
activation = tf.nn.relu
momentum = 0.99
- num_filters = 32
+ num_filters = 48
input_2d = self.inputs[0]
print('input: ', input_2d.shape)
@@ -493,7 +493,7 @@ class SRCNN:
conv_b = build_residual_conv2d_block(conv_b, num_filters, 'Residual_Block_4', kernel_size=KERNEL_SIZE, scale=scale)
- #conv_b = build_residual_conv2d_block(conv_b, num_filters, 'Residual_Block_5', kernel_size=KERNEL_SIZE, scale=scale)
+ conv_b = build_residual_conv2d_block(conv_b, num_filters, 'Residual_Block_5', kernel_size=KERNEL_SIZE, scale=scale)
conv_b = tf.keras.layers.Conv2D(num_filters, kernel_size=3, strides=1, activation=activation, kernel_initializer='he_uniform', padding=padding)(conv_b)
@@ -837,7 +837,7 @@ def run_evaluate_static(in_file, out_file, ckpt_dir):
grd_c = np.where(np.isnan(grd_c), 0, grd_c)
grd_c = grd_c.copy()
- grd_c = smooth_2d_single(grd_c, sigma=1.0)
+ # grd_c = smooth_2d_single(grd_c, sigma=1.0)
grd_c = grd_c[slc_y_2, slc_x_2]
grd_c = resample_2d_linear_one(x_2, y_2, grd_c, t, s)
grd_c = grd_c[y_k, x_k]
--
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