oeway

import numpy as np
import scipy
import scipy.ndimage
from scipy.ndimage.filters import gaussian_filter
from scipy.ndimage.interpolation import map_coordinates
import collections
from PIL import Image
import numbers

__author__ = "Wei OUYANG"

gyglim

"""Simple example on how to log scalars and images to tensorboard without tensor ops.

License: BSD License 2.0
"""
__author__ = "Michael Gygli"

import tensorflow as tf
from StringIO import StringIO
import matplotlib.pyplot as plt
import numpy as np

fmder

import numpy
from scipy.ndimage.interpolation import map_coordinates
from scipy.ndimage.filters import gaussian_filter

def elastic_transform(image, alpha, sigma, random_state=None):
    """Elastic deformation of images as described in [Simard2003]_.


    .. [Simard2003] Simard, Steinkraus and Platt, "Best Practices for
       Convolutional Neural Networks applied to Visual Document Analysis", in

mdornseif

def store_pdfs_in_zip():
    docs = Dokument.all().order('updated_at')
    file_name = files.blobstore.create(mime_type='application/zip',
                                       _blobinfo_uploaded_filename='test.zip')
    with files.open(file_name, 'w') as f:
        z = blobstoreZipFile(f)
        for doc in docs.fetch(75):
            pdf = doc.data
            fname = "%s-%s.pdf" % (doc.designator, doc.updated_at)
            fname = fname.encode('ascii', 'replace')