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| #!/usr/bin/env python | |
| """ | |
| A quick, partial implementation of ENet (https://arxiv.org/abs/1606.02147) using PyTorch. | |
| The original Torch ENet implementation can process a 480x360 image in ~12 ms (on a P2 AWS | |
| instance). TensorFlow takes ~35 ms. The PyTorch implementation takes ~25 ms, an improvement | |
| over TensorFlow, but worse than the original Torch. | |
| """ | |
| from __future__ import absolute_import |
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| # -*- coding: utf-8 -*- | |
| """ | |
| Created on Tue Oct 23 08:06:37 2012 | |
| @author: Jean-Patrick | |
| """ | |
| import os | |
| import numpy as np | |
| import matplotlib.pyplot as plt | |
| import skimage.io as sio |
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| # -*- coding: utf-8 -*- | |
| """ | |
| Created on Tue Oct 23 08:06:37 2012 | |
| @author: Jean-Patrick | |
| """ | |
| import os | |
| import numpy as np | |
| import matplotlib.pyplot as plt | |
| import skimage.io as sio |
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| # -*- coding: utf-8 -*- | |
| """ | |
| Created on Wed Mar 30 13:04:37 2016 | |
| @author: jeanpat | |
| """ | |
| import pandas as pn | |
| from itertools import product | |
| import ClassChromosome as K |