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Commit 4feea273 authored by tomrink's avatar tomrink
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modules/deeplearning/cloud_opd_fcn_abi.py
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...@@ -91,6 +91,11 @@ if KERNEL_SIZE == 3: ...@@ -91,6 +91,11 @@ if KERNEL_SIZE == 3:
slc_y = slice(0, int(Y_LEN/4) + 2) slc_y = slice(0, int(Y_LEN/4) + 2)
x_64 = slice(4, X_LEN + 4) x_64 = slice(4, X_LEN + 4)
y_64 = slice(4, Y_LEN + 4) y_64 = slice(4, Y_LEN + 4)
elif KERNEL_SIZE == 1:
slc_x = slice(4, X_LEN + 4)
slc_y = slice(4, Y_LEN + 4)
x_64 = slice(4, X_LEN + 4)
y_64 = slice(4, Y_LEN + 4)
# ---------------------------------------- # ----------------------------------------
...@@ -515,7 +520,7 @@ class SRCNN: ...@@ -515,7 +520,7 @@ class SRCNN:
conv_b = build_residual_conv2d_block(conv_b, num_filters, 'Residual_Block_6', kernel_size=KERNEL_SIZE, scale=scale) conv_b = build_residual_conv2d_block(conv_b, num_filters, 'Residual_Block_6', kernel_size=KERNEL_SIZE, scale=scale)
conv_b = tf.keras.layers.Conv2D(num_filters, kernel_size=3, strides=1, activation=activation, kernel_initializer='he_uniform', padding=padding)(conv_b) conv_b = tf.keras.layers.Conv2D(num_filters, kernel_size=KERNEL_SIZE, strides=1, activation=activation, kernel_initializer='he_uniform', padding=padding)(conv_b)
# conv = conv + conv_b # conv = conv + conv_b
conv = conv_b conv = conv_b
......
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