fchollet

from keras import backend
from keras.backend import numpy_backend
import numpy as np
import tensorflow as tf


class NPTF(object):

  def __getattr__(self, name):
    if name in dir(numpy_backend) and name in dir(backend):

bpierce1

// use value of $SSH_AUTH_SOCK for "agent"
{
    "host": "my-ip.com",
    "username": "bpierce",
    "password": null,
    "privateKeyPath": "/path/to/.ssh/id_rsa",
    "uploadOnSave": true,
    "protocol": "sftp",
    "remotePath": "/remote/path/to/repo",
    "agent": "/private/tmp/com.apple.launchd.Hp4qarj3Eb/Listeners"

nvictus

"""Run Length Encoding utilities for NumPy arrays.

Authors
-------
- Nezar Abdennur
- Anton Goloborodko

"""
from __future__ import division, print_function
import numpy as np

yrevar

{0: 'tench, Tinca tinca',
 1: 'goldfish, Carassius auratus',
 2: 'great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias',
 3: 'tiger shark, Galeocerdo cuvieri',
 4: 'hammerhead, hammerhead shark',
 5: 'electric ray, crampfish, numbfish, torpedo',
 6: 'stingray',
 7: 'cock',
 8: 'hen',
 9: 'ostrich, Struthio camelus',

welch

It is a rite of passage to post one's successful build instructions for OpenCV on a Mac
after you've tried all the other conflicting instructions out there and still failed. 
brew failed for me (was this because I could never get a happy brew doctor situation? 
I'll never know). macports? nope. build-from-source recipes? I didn't find one that 
worked for me.

Here's what did work to build OpenCV 2.4.5 from the distribution tarball using cmake,
on Mac OSX 10.8.4, linked to an anaconda installation rather than the system python. 
It is a mashup of various bits of advice out there. If you're already comfortable with 
build/install from source, all you need to read is the cmake invocation in step 3 and