persones

testing

persones

import numpy as np

from PIL import Image
from rawkit.raw import Raw

filename = '/path/to/your/image.cr2'
raw_image = Raw(filename)
buffered_image = np.array(raw_image.to_buffer())
image = Image.frombytes('RGB', (raw_image.metadata.width, raw_image.metadata.height), buffered_image)
image.save('/path/to/your/new/image.png', format='png')

persones

# -*- coding: utf-8 -*-
"""
Created on Mon Jan 02 23:02:54 2017

@author: perso
"""

import os
import subprocess
import shutil

persones

#!/usr/bin/env python

# import what we need
import numpy
import os
import glob
import time
import argparse
from PIL import Image
from rawkit import raw

persones

print('book reviewer')
from docx import Document
import os

root_folder = 'C:/Users/perso/Google Drive/Shahar_Project Reliability Engineering/'
paths = ['Ready for Editorial Approval', 'Ready for Author Review']

def find_term(doc, *args):
  for p in doc.paragraphs:
    for term in args:

persones

print('pdf reviewer')
import os
from PyPDF2.pdf import PdfFileReader

class color:
   PURPLE = '\033[95m'
   CYAN = '\033[96m'
   DARKCYAN = '\033[36m'
   BLUE = '\033[94m'
   GREEN = '\033[92m'