diff --git a/modules/deeplearning/srcnn_l1b_l2.py b/modules/deeplearning/srcnn_l1b_l2.py index b1ccdfbee11b48f42455a7166718fce5ba5b9f08..a517fe36986b3c5d318f4cfda95c07f359e4b909 100644 --- a/modules/deeplearning/srcnn_l1b_l2.py +++ b/modules/deeplearning/srcnn_l1b_l2.py @@ -259,18 +259,16 @@ class SRCNN: data_norm = [] for param in data_params: idx = params.index(param) - # tmp = input_data[:, idx, slc_y_2, slc_x_2] - tmp = input_data[:, idx, slc_y, slc_x] + tmp = input_data[:, idx, slc_y_2, slc_x_2] tmp = normalize(tmp, param, mean_std_dct, add_noise=add_noise, noise_scale=noise_scale) - # tmp = resample_2d_linear(x_2, y_2, tmp, t, s) + tmp = resample_2d_linear(x_2, y_2, tmp, t, s) data_norm.append(tmp) # -------------------------- param = 'refl_0_65um_nom' idx = params.index(param) - # tmp = input_data[:, idx, slc_y_2, slc_x_2] - tmp = input_data[:, idx, slc_y, slc_x] + tmp = input_data[:, idx, slc_y_2, slc_x_2] tmp = normalize(tmp, param, mean_std_dct, add_noise=add_noise, noise_scale=noise_scale) - # tmp = resample_2d_linear(x_2, y_2, tmp, t, s) + tmp = resample_2d_linear(x_2, y_2, tmp, t, s) data_norm.append(tmp) # -------- tmp = input_data[:, label_idx, slc_y_2, slc_x_2]