celiacintas

FROM pritunl/archlinux
MAINTAINER Celia Cintas <[email protected]> Pablo Navarro <[email protected]>

COPY packages/ /packages

RUN pacman -S --noconfirm git make
RUN pacman -S --noconfirm python2 python2-pip
RUN pacman -S --noconfirm cmake boost
RUN cd packages && pacman -U --noconfirm vtk6-6.3.0-2-x86_64.pkg.tar.xz opencv-3.1.0-3-x86_64.pkg.tar.xz
RUN pacman -S --noconfirm gcc gcc-libs

celiacintas

#!/usr/bin/env python2
# -*- coding: utf-8

import fnmatch
import shutil
import os
import sys
import fileinput

dir_photos = '.'

celiacintas

import matplotlib as mpl
from mpl_toolkits.mplot3d import Axes3D
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd

mpl.rcParams['legend.fontsize'] = 10

fig = plt.figure()
ax = fig.gca(projection='3d')

celiacintas

#!/usr/bin/env python2
# -*- coding: utf-8 -*-

from pyPdf import PdfFileWriter, PdfFileReader
from reportlab.pdfgen import canvas
from StringIO import StringIO
from os.path import basename, splitext
from reportlab.lib.pagesizes import letter
import os
import pandas as pd

celiacintas

#!/usr/bin/env python2
# -*- coding: utf-8 -*-

from pyPdf import PdfFileWriter, PdfFileReader
from reportlab.pdfgen import canvas
from StringIO import StringIO
from os.path import basename, splitext
from reportlab.lib.pagesizes import letter
import os
import pandas as pd

celiacintas

#!/usr/bin/env python2
# -*- coding: utf-8 -*-

import numpy as np
from matplotlib import pyplot as plt
from sklearn.metrics import confusion_matrix

def plot_PCA(Xp, y):
	"""
	"""

celiacintas

#!/usr/bin/env python2
# -*- coding: utf-8 -*-

import cv2
import subprocess
import os
from time import gmtime, strftime

path = 'record_{}'.format(strftime("%Y-%m-%d%H:%M:%S", gmtime()))
os.makedirs(path)

celiacintas

#!/usr/bin/env python2
# -*- coding: utf-8 -*-

from pyPdf import PdfFileWriter, PdfFileReader
from reportlab.pdfgen import canvas
from StringIO import StringIO
from reportlab.lib.pagesizes import letter
import pandas as pd

FILENAME_CERTIFICADOS = 'certificados.csv'

celiacintas

#!/usr/bin/env python2
# -*- coding: utf-8 -*-

from pyPdf import PdfFileWriter, PdfFileReader
from reportlab.pdfgen import canvas
from StringIO import StringIO
from os.path import basename, splitext
from reportlab.pdfgen import canvas
from reportlab.lib.pagesizes import letter
import os

celiacintas

#!/usr/bin/env python2
# -*- coding: utf-8 -*-

import BeautifulSoup as soup
import pandas as pd
import httplib2
import re

CODE_FAM = 	['MGP00016', 'MGP00015', 'MGP00022', 'MGP00003', 'MGP00012', 'MGP00005',
		 'MGP00023', 'MGP00001', 'MGP00019', 'MGP00018', 'MGP00017', 'MGP00002', 'MGP00010',