snapshot...

modules/deeplearning/cloud_fraction_fcn_abi.py

@@ -779,6 +779,7 @@ def run_evaluate_static(in_file, out_file, ckpt_dir):
     bt = get_grid_values_all(h5f, 'temp_11_0um_nom')
     y_len, x_len = bt.shape
     print(y_len, x_len)
+    h_y_len = int(y_len/2)
     refl = get_grid_values_all(h5f, 'refl_0_65um_nom')
     refl_lo = get_grid_values_all(h5f, 'refl_0_65um_nom_min_sub')
     refl_hi = get_grid_values_all(h5f, 'refl_0_65um_nom_max_sub')
@@ -787,33 +788,34 @@ def run_evaluate_static(in_file, out_file, ckpt_dir):
     lons = get_grid_values_all(h5f, 'longitude')
     lats = get_grid_values_all(h5f, 'latitude')
 
-    bt_nh = bt[0:2712+1, :]
-    refl_nh = refl[0:2712+1, :]
-    refl_lo_nh = refl_lo[0:2712+1, :]
-    refl_hi_nh = refl_hi[0:2712+1, :]
-    refl_std_nh = refl_std[0:2712+1, :]
-    cp_nh = cp[0:2712+1, :]
+    bt_nh = bt[0:h_y_len+1, :]
+    refl_nh = refl[0:h_y_len+1, :]
+    refl_lo_nh = refl_lo[0:h_y_len+1, :]
+    refl_hi_nh = refl_hi[0:h_y_len+1, :]
+    refl_std_nh = refl_std[0:h_y_len+1, :]
+    cp_nh = cp[0:h_y_len+1, :]
     print(cp_nh.shape)
 
-    bt_sh = bt[2712-1:y_len, :]
-    refl_sh = refl[2712-1:y_len, :]
-    refl_lo_sh = refl_lo[2712-1:y_len, :]
-    refl_hi_sh = refl_hi[2712-1:y_len, :]
-    refl_std_sh = refl_std[2712-1:y_len, :]
-    cp_sh = cp[2712-1:y_len, :]
+    bt_sh = bt[h_y_len-1:y_len, :]
+    refl_sh = refl[h_y_len-1:y_len, :]
+    refl_lo_sh = refl_lo[h_y_len-1:y_len, :]
+    refl_hi_sh = refl_hi[h_y_len-1:y_len, :]
+    refl_std_sh = refl_std[h_y_len-1:y_len, :]
+    cp_sh = cp[h_y_len-1:y_len, :]
     print(bt_sh.shape)
 
     h5f.close()
 
     cld_frac_nh = run_evaluate_static_(bt_nh, refl_nh, refl_lo_nh, refl_hi_nh, refl_std_nh, cp_nh, ckpt_dir)
     print(cld_frac_nh.shape)
+
     cld_frac_sh = run_evaluate_static_(bt_sh, refl_sh, refl_lo_sh, refl_hi_sh, refl_std_sh, cp_sh, ckpt_dir)
     print(cld_frac_sh.shape)
 
     cld_frac_out = np.zeros((y_len, x_len), dtype=np.int8)
     border = int((KERNEL_SIZE - 1)/2)
-    cld_frac_out[border:2712, border:x_len - border] = cld_frac_nh[0, :, :]
-    cld_frac_out[2712:y_len - border, border:x_len - border] = cld_frac_sh[0, :, :]
+    cld_frac_out[border:h_y_len, border:x_len - border] = cld_frac_nh[0, :, :]
+    cld_frac_out[h_y_len:y_len - border, border:x_len - border] = cld_frac_sh[0, 1::, :]
 
     bt = denormalize(bt, 'temp_11_0um_nom', mean_std_dct)
     refl = denormalize(refl, 'refl_0_65um_nom', mean_std_dct)