snapshot...

modules/util/infer_cloud_fraction.py

@@ -2,27 +2,12 @@ from util.geos_nav import get_navigation
 from util.setup_cloud_fraction import model_path
 from aeolus.datasource import CLAVRx
 import os
-from deeplearning.cloud_fraction_fcn_abi import SRCNN, run_evaluate_static, run_evaluate_static_full_disk
+from deeplearning.cloud_fraction_fcn_abi import SRCNN
 from util.util import get_cartopy_crs, write_cld_frac_file_nc4
 import numpy as np
 
 
-def infer_cloud_fraction(clvrx_path, output_dir, full_disk=True):
-    ckpt_dir_s = os.listdir(model_path)
-    ckpt_dir = model_path + ckpt_dir_s[0]
-
-    clvrx_ds = CLAVRx(clvrx_path)
-    for fname, t_start, t_stop in clvrx_ds:
-        dto = clvrx_ds.get_datetime(fname)
-        clvrx_str_time = dto.strftime('%Y-%m-%d_%H:%M')
-        out_file = output_dir + 'cloud_fraction_' + clvrx_str_time
-        if full_disk:
-            run_evaluate_static_full_disk(fname, out_file, ckpt_dir)
-        else:
-            run_evaluate_static(fname, out_file, ckpt_dir)
-
-
-def infer_cloud_fraction_new(clvrx_path, output_dir, full_disk=True, satellite='GOES16', domain='FD'):
+def infer_cloud_fraction(clvrx_path, output_dir, full_disk=True, satellite='GOES16', domain='FD'):
     # location of the trained model
     ckpt_dir_s = os.listdir(model_path)
     ckpt_dir = model_path + ckpt_dir_s[0]