snapshot...

modules/deeplearning/srcnn_l1b_l2.py

@@ -712,7 +712,11 @@ def analyze(fpath='/Users/tomrink/clavrx_snpp_viirs.A2019080.0100.001.2019080064
     h5f = h5py.File(fpath, 'r')
     grd = get_grid_values_all(h5f, 'cloud_fraction')
     grd = np.where(np.isnan(grd), 0, grd)
-    # grd = grd[:, 800:2400]
+    bt = get_grid_values_all(h5f, 'temp_11_0um_nom')
+    refl = get_grid_values_all(h5f, 'refl_0_65um_nom')
+    grd = grd[2432:4032, 2432:4032]
+    bt = bt[2432:4032, 2432:4032]
+    refl = refl[2432:4032, 2432:4032]
     print(grd.shape)
 
     grd_lr = grd[::2, ::2]
@@ -733,7 +737,7 @@ def analyze(fpath='/Users/tomrink/clavrx_snpp_viirs.A2019080.0100.001.2019080064
 
     h5f.close()
 
-    return grd, grd_lr, grd_hr
+    return grd, grd_lr, grd_hr, bt, refl
 
 
 if __name__ == "__main__":