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Commit c09a76cf authored by tomrink's avatar tomrink
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...@@ -47,11 +47,11 @@ f.close() ...@@ -47,11 +47,11 @@ f.close()
mean_std_dct.update(mean_std_dct_l1b) mean_std_dct.update(mean_std_dct_l1b)
mean_std_dct.update(mean_std_dct_l2) mean_std_dct.update(mean_std_dct_l2)
#params = ['temp_11_0um_nom', 'temp_12_0um_nom', 'refl_0_65um_nom', 'cloud_fraction'] # params = ['temp_11_0um_nom', 'temp_12_0um_nom', 'refl_0_65um_nom', 'cloud_fraction']
#data_params = ['temp_11_0um_nom', 'temp_12_0um_nom', 'refl_0_65um_nom'] # data_params = ['temp_11_0um_nom', 'temp_12_0um_nom', 'refl_0_65um_nom']
params = ['temp_11_0um_nom', 'temp_12_0um_nom', 'refl_0_65um_nom', 'cld_opd_dcomp'] params = ['temp_11_0um_nom', 'temp_12_0um_nom', 'refl_0_65um_nom', 'cloud_fraction']
data_params = ['temp_11_0um_nom'] data_params = ['temp_11_0um_nom']
label_params = ['cld_opd_dcomp'] label_params = ['cloud_fraction']
DO_ZERO_OUT = False DO_ZERO_OUT = False
...@@ -67,8 +67,8 @@ x_64 = np.arange(64) ...@@ -67,8 +67,8 @@ x_64 = np.arange(64)
y_64 = np.arange(64) y_64 = np.arange(64)
x_134_2 = x_134[3:131:2] x_134_2 = x_134[3:131:2]
y_134_2 = y_134[3:131:2] y_134_2 = y_134[3:131:2]
#x_134_2 = x_134[2:133:2] # x_134_2 = x_134[2:133:2]
#y_134_2 = y_134[2:133:2] # y_134_2 = y_134[2:133:2]
t = np.arange(0, 64, 0.5) t = np.arange(0, 64, 0.5)
s = np.arange(0, 64, 0.5) s = np.arange(0, 64, 0.5)
...@@ -418,7 +418,7 @@ class SRCNN: ...@@ -418,7 +418,7 @@ class SRCNN:
self.loss = tf.keras.losses.MeanSquaredError() # Regression self.loss = tf.keras.losses.MeanSquaredError() # Regression
# decayed_learning_rate = learning_rate * decay_rate ^ (global_step / decay_steps) # decayed_learning_rate = learning_rate * decay_rate ^ (global_step / decay_steps)
initial_learning_rate = 0.001 initial_learning_rate = 0.002
decay_rate = 0.95 decay_rate = 0.95
steps_per_epoch = int(self.num_data_samples/BATCH_SIZE) # one epoch steps_per_epoch = int(self.num_data_samples/BATCH_SIZE) # one epoch
decay_steps = int(steps_per_epoch) decay_steps = int(steps_per_epoch)
......
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