From 332e447725a39e015171b0c2a5269a0abb7e0f2f Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Thu, 1 Feb 2024 14:47:54 -0600
Subject: [PATCH] snapshot...
---
modules/deeplearning/icing_cnn.py | 52 -------------------------------
1 file changed, 52 deletions(-)
diff --git a/modules/deeplearning/icing_cnn.py b/modules/deeplearning/icing_cnn.py
index c1eb18f1..3623e61e 100644
--- a/modules/deeplearning/icing_cnn.py
+++ b/modules/deeplearning/icing_cnn.py
@@ -1063,58 +1063,6 @@ def run_restore_static(filename_l1b, filename_l2, ckpt_dir_s_path, day_night='DA
return labels, prob_avg, cm_avg
-def run_evaluate_static_avg(data_dct, ll, cc, ckpt_dir_s_path, day_night='DAY', flight_level=4,
- use_flight_altitude=False, prob_thresh=0.5,
- satellite='GOES16', domain='FD'):
- num_elems = len(cc)
- num_lines = len(ll)
- cc = np.array(cc)
- ll = np.array(ll)
-
- ckpt_dir_s = os.listdir(ckpt_dir_s_path)
-
- nav = get_navigation(satellite, domain)
-
- prob_s = []
- for ckpt in ckpt_dir_s:
- ckpt_dir = ckpt_dir_s_path + ckpt
- if not os.path.isdir(ckpt_dir):
- continue
- nn = IcingIntensityNN(day_night=day_night, use_flight_altitude=use_flight_altitude)
- nn.flight_level = flight_level
- nn.setup_eval_pipeline(data_dct, num_lines * num_elems)
- nn.build_model()
- nn.build_training()
- nn.build_evaluation()
- nn.do_evaluate(ckpt_dir)
- prob_s.append(nn.test_probs)
-
- num = len(prob_s)
- prob_avg = prob_s[0]
- for k in range(num-1):
- prob_avg += prob_s[k+1]
- prob_avg /= num
- probs = prob_avg
-
- if NumClasses == 2:
- preds = np.where(probs > prob_thresh, 1, 0)
- else:
- preds = np.argmax(probs, axis=1)
- preds_2d = preds.reshape((num_lines, num_elems))
-
- ll, cc = np.meshgrid(ll, cc, indexing='ij')
- cc = cc.flatten()
- ll = ll.flatten()
-
- ice_mask = preds == 1
- ice_cc = cc[ice_mask]
- ice_ll = ll[ice_mask]
-
- ice_lons, ice_lats = nav.lc_to_earth(ice_cc, ice_ll)
-
- return ice_lons, ice_lats, preds_2d
-
-
def run_evaluate_static(data_dct, num_tiles, ckpt_dir_s_path, day_night='DAY', l1b_or_l2='both', prob_thresh=0.5,
flight_levels=[0, 1, 2, 3, 4], use_flight_altitude=False):
--
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