snapshot...

modules/deeplearning/srcnn_cld_frac.py

@@ -138,6 +138,19 @@ def upsample(tmp):
     return tmp
 
 
+def upsample_nearest(grd):
+    bsize, ylen, xlen = grd.shape
+    grd = get_grid_cell_mean(grd)
+    up = np.zeros(bsize, ylen, xlen)
+
+    up[:, ::2, ::2] = grd[:, :, :]
+    up[:, 1::2, ::1] = grd[:, :, :]
+    up[:, ::2, 1::1] = grd[:, :, :]
+    up[:, 1::2, 1::2] = grd[:, :, :]
+
+    return up
+
+
 # def get_label_data(grd_k):
 #     grd_k = np.where(np.isnan(grd_k), 0, grd_k)
 #     grd_k = np.where(grd_k < 0.5, 0, 1)