snapshot...

modules/deeplearning/cloud_opd_srcnn_abi_v2.py

@@ -734,23 +734,31 @@ class SRCNN:
         gc.collect()
         t0 = time.time()
 
+        s_x = slice(1912, 3512)
+        s_y = slice(1912, 3512)
+
         h5f = h5py.File(in_file, 'r')
 
         refl = get_grid_values_all(h5f, 'refl_0_65um_nom')
-        print(refl.shape)
-        refl = refl[1912:3512, 1912:3512]
+        print('FD dims: ', refl.shape)
+        refl = refl[s_y, s_x]
         LEN_Y, LEN_X = refl.shape
-        print(refl.shape)
+        print('sub dims: ', refl.shape)
+
         bt = get_grid_values_all(h5f, 'temp_11_0um_nom')
-        bt = bt[1912:3512, 1912:3512]
+        bt = bt[s_y, s_x]
+
         cld_opd = get_grid_values_all(h5f, 'cld_opd_dcomp')
-        cld_opd = cld_opd[1912:3512, 1912:3512]
+        cld_opd = cld_opd[s_y, s_x]
+
         refl_sub_lo = get_grid_values_all(h5f, 'refl_0_65um_nom_min_sub')
-        refl_sub_lo = refl_sub_lo[1912:3512, 1912:3512]
+        refl_sub_lo = refl_sub_lo[s_y, s_x]
+
         refl_sub_hi = get_grid_values_all(h5f, 'refl_0_65um_nom_max_sub')
-        refl_sub_hi = refl_sub_hi[1912:3512, 1912:3512]
+        refl_sub_hi = refl_sub_hi[s_y, s_x]
+
         refl_sub_std = get_grid_values_all(h5f, 'refl_0_65um_nom_stddev_sub')
-        refl_sub_std = refl_sub_std[1912:3512, 1912:3512]
+        refl_sub_std = refl_sub_std[s_y, s_x]
         t1 = time.time()
         print('read data time: ', (t1 - t0))