petebankhead

/**
 * Convert TIFF fields of view to a pyramidal OME-TIFF.
 *
 * Locations are parsed from the baseline TIFF tags, therefore these need to be set.
 *
 * One application of this script is to combine spectrally-unmixed images.
 * Be sure to read the script and see where default settings could be changed, e.g.
 *   - Prompting the user to select files (or using the one currently open the viewer)
 *   - Using lossy or lossless compression

fchollet

'''This script goes along the blog post
"Building powerful image classification models using very little data"
from blog.keras.io.
It uses data that can be downloaded at:
https://www.kaggle.com/c/dogs-vs-cats/data
In our setup, we:
- created a data/ folder
- created train/ and validation/ subfolders inside data/
- created cats/ and dogs/ subfolders inside train/ and validation/
- put the cat pictures index 0-999 in data/train/cats

iandanforth

#############################################################################
# Full Imports

from __future__ import division
import math
import random

"""
This is a pure Python implementation of the K-means Clustering algorithmn. The
original can be found here: