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Commit 056669eb authored by tomrink's avatar tomrink
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modules/deeplearning/espcn.py
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...@@ -240,7 +240,9 @@ class ESPCN: ...@@ -240,7 +240,9 @@ class ESPCN:
nda = np.load(f) nda = np.load(f)
label_s.append(nda) label_s.append(nda)
data = np.concatenate(data_s) #data = np.concatenate(data_s)
data = np.concatenate(label_s)
data = tf.image.resize(data, (32, 32))
label = np.concatenate(label_s) label = np.concatenate(label_s)
label = label[:, label_idx, :, :] label = label[:, label_idx, :, :]
...@@ -416,8 +418,8 @@ class ESPCN: ...@@ -416,8 +418,8 @@ class ESPCN:
input_2d = self.inputs[0] input_2d = self.inputs[0]
print('input: ', input_2d.shape) print('input: ', input_2d.shape)
conv = tf.keras.layers.Conv2D(num_filters, kernel_size=5, strides=1, padding='VALID', activation=None)(input_2d) # conv = tf.keras.layers.Conv2D(num_filters, kernel_size=5, strides=1, padding='VALID', activation=None)(input_2d)
# conv = conv[:, 4:20, 4:20, :] conv = input_2d
print('Contracting Branch') print('Contracting Branch')
print('input: ', conv.shape) print('input: ', conv.shape)
skip = conv skip = conv
......
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