snapshot...

modules/deeplearning/cloud_opd_srcnn_viirs.py

@@ -699,20 +699,20 @@ def run_evaluate_static(in_file, out_file, ckpt_dir):
 
     refl = get_grid_values_all(h5f, 'super/refl_0_65um')
     ylen, xlen = refl.shape
-    refl = refl[int(ylen/2):ylen, (int(xlen/2)-800):(int(xlen/2)+800)]
+    refl = refl[int(ylen/2):ylen, (int(xlen/2)-1000):(int(xlen/2)+1000)]
     LEN_Y, LEN_X = refl.shape
 
     bt = get_grid_values_all(h5f, 'orig/temp_11_0um')
     ylen, xlen = bt.shape
-    bt = bt[int(ylen/2):ylen, (int(xlen/2)-400):(int(xlen/2)+400)]
+    bt = bt[int(ylen/2):ylen, (int(xlen/2)-500):(int(xlen/2)+500)]
 
     cld_opd_orig = get_grid_values_all(h5f, 'orig/' + label_param)
     ylen, xlen = cld_opd_orig.shape
-    cld_opd_orig = cld_opd_orig[int(ylen/2):ylen, (int(xlen/2)-400):(int(xlen/2)+400)]
+    cld_opd_orig = cld_opd_orig[int(ylen/2):ylen, (int(xlen/2)-500):(int(xlen/2)+500)]
 
     cld_opd = get_grid_values_all(h5f, 'super/' + label_param)
     ylen, xlen = cld_opd.shape
-    cld_opd = cld_opd[int(ylen/2):ylen, (int(xlen/2)-800):(int(xlen/2)+800)]
+    cld_opd = cld_opd[int(ylen/2):ylen, (int(xlen/2)-1000):(int(xlen/2)+1000)]
     cld_opd_hres = cld_opd.copy()
 
     refl = np.where(np.isnan(refl), 0, refl)
@@ -732,17 +732,6 @@ def run_evaluate_static(in_file, out_file, ckpt_dir):
     bt = smooth_2d(bt)
     bt = normalize(bt, 'temp_11_0um_nom', mean_std_dct)
 
-    # refl = get_grid_values_all(h5f, 'super/refl_0_65um')
-    # refl = np.where(np.isnan(refl), 0, refl)
-    # refl = np.expand_dims(refl, axis=0)
-    # refl_lo, refl_hi, refl_std, refl_avg = get_min_max_std(refl)
-    # refl_lo = normalize(refl_lo, 'refl_0_65um_nom', mean_std_dct)
-    # refl_hi = normalize(refl_hi, 'refl_0_65um_nom', mean_std_dct)
-    # refl_avg = normalize(refl_avg, 'refl_0_65um_nom', mean_std_dct)
-    # refl_lo = np.squeeze(refl_lo)
-    # refl_hi = np.squeeze(refl_hi)
-    # refl_avg = np.squeeze(refl_avg)
-
     # cld_opd = np.where(np.isnan(cld_opd), 0, cld_opd)
     # cld_opd = cld_opd[nn.slc_y_2, nn.slc_x_2]
     # cld_opd = np.expand_dims(cld_opd, axis=0)