From dd7aa1010c894e377f4116c3d0256509f1382f11 Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Tue, 24 Oct 2023 12:50:16 -0500
Subject: [PATCH] snapshot...
---
modules/deeplearning/icing_fcn.py | 20 ++++++++++++++++++++
1 file changed, 20 insertions(+)
diff --git a/modules/deeplearning/icing_fcn.py b/modules/deeplearning/icing_fcn.py
index 122a6842..c993b650 100644
--- a/modules/deeplearning/icing_fcn.py
+++ b/modules/deeplearning/icing_fcn.py
@@ -1213,6 +1213,26 @@ def run_evaluate_static(data_dct, num_tiles, ckpt_dir_s_path, day_night='DAY', l
return preds_dct, probs_dct
+def run_evaluate_static_2(model, data_dct, num_tiles, day_night='DAY', l1b_or_l2='both', satellite='GOES16',
+ prob_thresh=0.5, flight_levels=[0, 1, 2, 3, 4], use_flight_altitude=False):
+
+ if not use_flight_altitude:
+ flight_levels = [0]
+
+ probs_dct = {flvl: None for flvl in flight_levels}
+ preds_dct = {flvl: None for flvl in flight_levels}
+
+ for flvl in flight_levels:
+ model.flight_level = flvl
+ model.setup_eval_pipeline(data_dct, num_tiles)
+ model.do_evaluate(prob_thresh=prob_thresh)
+
+ probs_dct[flvl] = nn.test_probs.flatten()
+ preds_dct[flvl] = nn.test_preds.flatten()
+
+ return preds_dct, probs_dct
+
+
if __name__ == "__main__":
nn = IcingIntensityFCN()
nn.run('matchup_filename')
--
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