Commit
•
cd6f682
1
Parent(s):
4d0572e
fixing bugs
Browse files
.DS_Store
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Binary files a/.DS_Store and b/.DS_Store differ
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__pycache__/main_program.cpython-38.pyc
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Binary files a/__pycache__/main_program.cpython-38.pyc and b/__pycache__/main_program.cpython-38.pyc differ
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classes/model/__pycache__/pix2code2.cpython-38.pyc
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Binary files a/classes/model/__pycache__/pix2code2.cpython-38.pyc and b/classes/model/__pycache__/pix2code2.cpython-38.pyc differ
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classes/model/autoencoder.h5
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:86d9ae3ae4c294424d3bf56f448e916893eb5374907a211d09712ec3476855b5
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size 2901584
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classes/model/pix2code2.py
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@@ -8,6 +8,7 @@ from keras import *
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from .Config import *
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from .AModel import *
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from .autoencoder_image import *
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class pix2code2(AModel):
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@@ -20,7 +21,8 @@ class pix2code2(AModel):
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# Load the pre-trained autoencoder model
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autoencoder_model = autoencoder_image(input_shape, input_shape, output_path)
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autoencoder_model.load('autoencoder')
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-
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autoencoder_model.model.load_weights(path_to_autoencoder)
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# Get only the model up to the encoded part
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hidden_layer_model_freeze = Model(
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from .Config import *
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from .AModel import *
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from .autoencoder_image import *
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import os
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class pix2code2(AModel):
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# Load the pre-trained autoencoder model
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autoencoder_model = autoencoder_image(input_shape, input_shape, output_path)
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autoencoder_model.load('autoencoder')
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path = "./bin/"
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path_to_autoencoder = "{}autoencoder.h5".format(path)
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autoencoder_model.model.load_weights(path_to_autoencoder)
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# Get only the model up to the encoded part
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hidden_layer_model_freeze = Model(
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