snapshot...

modules/util/infer_cloud_fraction.py

@@ -8,11 +8,11 @@ import numpy as np
 
 
 def infer_cloud_fraction(clvrx_path, output_dir, full_disk=True, satellite='GOES16', domain='FD'):
-    # location of the trained model
+    # -- location of the trained model
     ckpt_dir_s = os.listdir(model_path)
     ckpt_dir = model_path + ckpt_dir_s[0]
 
-    # Navigation parameters
+    # -- Navigation parameters
     geos, xlen, xmin, xmax, ylen, ymin, ymax = get_cartopy_crs(satellite, domain)
     nav = get_navigation(satellite, domain)
     cc = np.arange(xlen)
@@ -20,7 +20,7 @@ def infer_cloud_fraction(clvrx_path, output_dir, full_disk=True, satellite='GOES
     x_rad = cc * nav.CFAC + nav.COFF
     y_rad = ll * nav.LFAC + nav.LOFF
 
-    # Create a model instance and initialize with trained model above
+    # -- Create a model instance and initialize with trained model above
     nn = SRCNN()
     nn.setup_inference(ckpt_dir)