From 9e6d69c5591c62c75716a3790c6f66baffb3b9b1 Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Tue, 2 Apr 2024 19:39:21 -0500
Subject: [PATCH] snapshot...
---
modules/deeplearning/icing_dnn.py | 10 ++++------
1 file changed, 4 insertions(+), 6 deletions(-)
diff --git a/modules/deeplearning/icing_dnn.py b/modules/deeplearning/icing_dnn.py
index aa6d6f5d..ae02f0d8 100644
--- a/modules/deeplearning/icing_dnn.py
+++ b/modules/deeplearning/icing_dnn.py
@@ -130,7 +130,7 @@ def build_residual_block(input, drop_rate, num_neurons, activation, block_name,
class IcingIntensityDNN:
def __init__(self, y_dim_len=IMG_WIDTH, x_dim_len=IMG_WIDTH,
- day_night='DAY', l1b_or_l2='both', use_flight_altitude=False, datapath=None):
+ day_night='DAY', l1b_or_l2='l2', use_flight_altitude=False, datapath=None):
print('day_night: ', day_night)
print('l1b_or_l2: ', l1b_or_l2)
print('use_flight_altitude: ', use_flight_altitude)
@@ -400,8 +400,7 @@ class IcingIntensityDNN:
else:
h5f = self.h5f_l2_trn
time = h5f['time']
- # trn_idxs = np.arange(time.shape[0])
- trn_idxs = np.arange(50000)
+ trn_idxs = np.arange(time.shape[0])
if seed is not None:
np.random.seed(seed)
np.random.shuffle(trn_idxs)
@@ -411,8 +410,7 @@ class IcingIntensityDNN:
else:
h5f = self.h5f_l2_tst
time = h5f['time']
- # tst_idxs = np.arange(time.shape[0])
- tst_idxs = np.arange(5000)
+ tst_idxs = np.arange(time.shape[0])
if seed is not None:
np.random.seed(seed)
np.random.shuffle(tst_idxs)
@@ -481,7 +479,7 @@ class IcingIntensityDNN:
flat = self.input
n_hidden = self.input.shape[1]
- fac = 2
+ fac = 6
fc = build_residual_block(flat, drop_rate, fac * n_hidden, activation, 'Residual_Block_1', doDropout=True,
doBatchNorm=True)
--
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