AdilsonFuxe

If your pods are showing ErrImagePull, ErrImageNeverPull, or ImagePullBackOff errors after running kubectl apply, the simplest solution is to provide an imagePullPolicy to the pod.

First, run kubectl delete -f infra/k8s/

Then, update your pod manifest:

spec:
  containers:
    - name: posts
      image: cygnet/posts:0.0.1

carlthome

dpattison3

import commentjson
import os
import sys

import collections

import numpy as np
import scipy as scp
import scipy.misc
import tensorflow as tf

hollance

omoindrot

"""
Example TensorFlow script for finetuning a VGG model on your own data.
Uses tf.contrib.data module which is in release v1.2
Based on PyTorch example from Justin Johnson
(https://gist.github.com/jcjohnson/6e41e8512c17eae5da50aebef3378a4c)

Required packages: tensorflow (v1.2)
Download the weights trained on ImageNet for VGG:
```
wget http://download.tensorflow.org/models/vgg_16_2016_08_28.tar.gz

jubjamie

import tensorflow as tf
from tensorflow.python.platform import gfile
with tf.Session() as sess:
    model_filename ='PATH_TO_PB.pb'
    with gfile.FastGFile(model_filename, 'rb') as f:
        graph_def = tf.GraphDef()
        graph_def.ParseFromString(f.read())
        g_in = tf.import_graph_def(graph_def)
LOGDIR='/logs/tests/1/'
train_writer = tf.summary.FileWriter(LOGDIR)

mrdrozdov

from tf_logger import TFLogger


""" Example of using TFLogger to save train & dev statistics. To visualize
    in tensorboard simply do:
    
        tensorboard --logdir /path/to/summaries
        
    This code does depend on Tensorflow, but does not require that your model
    is built using Tensorflow. For instance, could build a model in Chainer, then

ipbastola

Safest way to clean up boot partition - Ubuntu 14.04LTS-x64, Ubuntu 16.04LTS-x64

Reference

Case I: if /boot is not 100% full and apt is working

1. Check the current kernel version

$ uname -r 

numberwhun

Taken from:  https://hackerlists.com/hacking-sites/

22 Hacking Sites, CTFs and Wargames To Practice Your Hacking Skills
InfoSec skills are in such high demand right now. As the world continues to turn everything into an app and connect even the most basic devices to the internet, the demand is only going to grow, so it’s no surprise everyone wants to learn hacking these days.


However, almost every day I come across a forum post where someone is asking where they should begin to learn hacking or how to practice hacking. I’ve compiled this list of some of the best hacking sites to hopefully be a valuable resource for those wondering how they can build and practice their hacking skill set. I hope you find this list helpful, and if you know of any other quality hacking sites, please let me know in the comments, so I can add them to the list.

1. CTF365 https://ctf365.com/

brbsix

"""Render HTML for scraping"""
# -*- coding: utf-8 -*-

import os
import sys
from contextlib import contextmanager
from multiprocessing import Pool

try:
    TimeoutError