snapshot...

modules/deeplearning/srcnn_l1b_l2.py

@@ -775,20 +775,8 @@ def run_evaluate_static(in_file, out_file, ckpt_dir):
         return out_sr, hr_grd_a, hr_grd_b, hr_grd_c
 
 
-def analyze(file='/Users/tomrink/cld_opd_out.npy'):
-    # Save this:
-    # nn.test_data_files = glob.glob('/Users/tomrink/data/clavrx_opd_valid_DAY/data_valid*.npy')
-    # idxs = np.arange(50)
-    # dat, lbl = nn.get_in_mem_data_batch(idxs, False)
-    # tmp = dat[:, 1:128, 1:128, 1]
-    # tmp = dat[:, 1:129, 1:129, 1]
-
-    tup = np.load(file, allow_pickle=True)
-    lbls = tup[0]
-    pred = tup[1]
-
-    lbls = lbls[:, :, :, 0]
-    pred = pred[:, :, :, 0]
+def analyze(lbls, pred):
+
     print('Total num pixels: ', lbls.size)
 
     pred = pred.flatten()