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mitdeeplearning/lab2.py

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@@ -92,7 +92,7 @@ def get_all_train_faces(self):
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def get_test_faces():
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cwd = os.path.dirname(__file__)
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f = h5py.File(os.path.join(cwd, "data", "test_faces.h5py"), "r")
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return f["LM"][:]/255., f["LF"][:]/255. f["DM"][:]/255., f["DF"][:]/255.
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return f["LM"][:]/255., f["LF"][:]/255., f["DM"][:]/255., f["DF"][:]/255.
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class PPBFaceEvaluator:

setup.py

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@@ -21,13 +21,13 @@ def get_dist(pkgname):
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setup(
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name = 'mitdeeplearning', # How you named your package folder (MyLib)
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packages = ['mitdeeplearning'], # Chose the same as "name"
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version = '0.4.0', # Start with a small number and increase it with every change you make
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version = '0.4.1', # Start with a small number and increase it with every change you make
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license='MIT', # Chose a license from here: https://help.github.com/articles/licensing-a-repository
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description = 'Official software labs for MIT Introduction to Deep Learning (http://introtodeeplearning.com)', # Give a short description about your library
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author = 'Alexander Amini', # Type in your name
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author_email = '[email protected]', # Type in your E-Mail
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url = 'http://introtodeeplearning.com', # Provide either the link to your github or to your website
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download_url = 'https://github.com/aamini/introtodeeplearning_labs/archive/v0.4.0.tar.gz', # I explain this later on
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download_url = 'https://github.com/aamini/introtodeeplearning_labs/archive/v0.4.1.tar.gz', # I explain this later on
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keywords = ['deep learning', 'neural networks', 'tensorflow', 'introduction'], # Keywords that define your package best
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install_requires=install_deps,
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classifiers=[

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