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Commit 59714a2e authored by tomrink's avatar tomrink
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...@@ -3,7 +3,7 @@ import tensorflow as tf ...@@ -3,7 +3,7 @@ import tensorflow as tf
from util.plot_cm import confusion_matrix_values from util.plot_cm import confusion_matrix_values
from util.augment import augment_image from util.augment import augment_image
from util.setup_cloud_products import logdir, modeldir, now, ancillary_path from util.setup_cloud_products import logdir, modeldir, now, ancillary_path
from util.util import EarlyStop, normalize, denormalize, scale2, get_grid_values_all, make_tf_callable_generator from util.util import EarlyStop, normalize, denormalize, scale, scale2, get_grid_values_all, make_tf_callable_generator
import glob import glob
import os, datetime import os, datetime
import numpy as np import numpy as np
...@@ -353,9 +353,10 @@ class SRCNN: ...@@ -353,9 +353,10 @@ class SRCNN:
tmp = input_data[:, idx, :, :] tmp = input_data[:, idx, :, :]
tmp = tmp[:, slc_y, slc_x] tmp = tmp[:, slc_y, slc_x]
tmp = normalize(tmp, param, mean_std_dct) tmp = normalize(tmp, param, mean_std_dct)
# tmp = scale(tmp, param, mean_std_dct)
data_norm.append(tmp) data_norm.append(tmp)
# refl_i = input_label[:, 1, :, :] # refl_i = input_label[:, params_i.index('refl_0_65um_nom'), :, :]
# refl_avg = get_grid_cell_mean(refl_i) # refl_avg = get_grid_cell_mean(refl_i)
# refl_avg = refl_avg[:, slc_y, slc_x] # refl_avg = refl_avg[:, slc_y, slc_x]
# refl_avg = normalize(refl_avg, 'refl_0_65um_nom', mean_std_dct) # refl_avg = normalize(refl_avg, 'refl_0_65um_nom', mean_std_dct)
...@@ -366,10 +367,12 @@ class SRCNN: ...@@ -366,10 +367,12 @@ class SRCNN:
rlo = input_data[:, params.index('refl_submin_ch01'), :, :] rlo = input_data[:, params.index('refl_submin_ch01'), :, :]
rlo = rlo[:, slc_y, slc_x] rlo = rlo[:, slc_y, slc_x]
rlo = normalize(rlo, 'refl_0_65um_nom', mean_std_dct) rlo = normalize(rlo, 'refl_0_65um_nom', mean_std_dct)
# rlo = scale(rlo, 'refl_0_65um_nom', mean_std_dct)
rhi = input_data[:, params.index('refl_submax_ch01'), :, :] rhi = input_data[:, params.index('refl_submax_ch01'), :, :]
rhi = rhi[:, slc_y, slc_x] rhi = rhi[:, slc_y, slc_x]
rhi = normalize(rhi, 'refl_0_65um_nom', mean_std_dct) rhi = normalize(rhi, 'refl_0_65um_nom', mean_std_dct)
# rhi = scale(rhi, 'refl_0_65um_nom', mean_std_dct)
refl_rng = rhi - rlo refl_rng = rhi - rlo
data_norm.append(refl_rng) data_norm.append(refl_rng)
......
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