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Commit 2fa9fab9 authored by tomrink's avatar tomrink
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......@@ -71,8 +71,8 @@ label_param = 'cld_opd_dcomp'
params = ['temp_11_0um_nom', 'refl_0_65um_nom', 'refl_submin_ch01', 'refl_submax_ch01', 'refl_substddev_ch01', 'cloud_probability', label_param]
params_i = ['temp_11_0um_nom', 'refl_0_65um_nom', 'cloud_probability', label_param]
# data_params_half = ['temp_11_0um_nom']
data_params_half = ['temp_11_0um_nom', 'refl_0_65um_nom']
data_params_half = ['temp_11_0um_nom']
# data_params_half = ['temp_11_0um_nom', 'refl_0_65um_nom']
sub_fields = ['refl_submin_ch01', 'refl_submax_ch01', 'refl_substddev_ch01']
data_params_full = ['refl_0_65um_nom']
......@@ -289,7 +289,7 @@ class SRCNN:
self.test_label_files = None
# self.n_chans = len(data_params_half) + len(data_params_full) + 1
self.n_chans = 5
self.n_chans = 6
self.X_img = tf.keras.Input(shape=(None, None, self.n_chans + 1))
......@@ -319,12 +319,13 @@ class SRCNN:
input_label = np.concatenate(label_s)
data_norm = []
# for param in data_params_half:
# idx = params.index(param)
# tmp = input_data[:, idx, :, :]
# tmp = tmp[:, slc_y, slc_x]
# tmp = normalize(tmp, param, mean_std_dct)
# data_norm.append(tmp)
for param in data_params_half:
idx = params.index(param)
tmp = input_data[:, idx, :, :]
tmp = tmp[:, slc_y, slc_x]
# tmp = normalize(tmp, param, mean_std_dct)
tmp = scale(tmp, param, mean_std_dct)
data_norm.append(tmp)
tmp = input_label[:, params_i.index('cloud_probability'), :, :]
cld_prob = tmp.copy()
......@@ -931,12 +932,13 @@ def run_restore_static(directory, ckpt_dir, out_file=None):
np.save(out_file,
[labels[:, :, :, 0],
preds[:, :, :, 0],
inputs[:, 1:y_hi, 1:x_hi, 0],
descale(inputs[:, 1:y_hi, 1:x_hi, 1], 'refl_0_65um_nom', mean_std_dct),
descale(inputs[:, 1:y_hi, 1:x_hi, 0], 'temp_11_0um_nom', mean_std_dct),
inputs[:, 1:y_hi, 1:x_hi, 1],
descale(inputs[:, 1:y_hi, 1:x_hi, 2], 'refl_0_65um_nom', mean_std_dct),
inputs[:, 1:y_hi, 1:x_hi, 3],
descale(inputs[:, 1:y_hi, 1:x_hi, 4], label_param, mean_std_dct),
inputs[:, 1:y_hi, 1:x_hi, 5]])
descale(inputs[:, 1:y_hi, 1:x_hi, 3], 'refl_0_65um_nom', mean_std_dct),
inputs[:, 1:y_hi, 1:x_hi, 4],
descale(inputs[:, 1:y_hi, 1:x_hi, 5], label_param, mean_std_dct),
inputs[:, 1:y_hi, 1:x_hi, 6]])
def run_evaluate_static(in_file, out_file, ckpt_dir):
......
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