Ramstein

apt-get update
apt-get install -y ruby
wget https://aws-codedeploy-us-east-1.s3.amazonaws.com/releases/codedeploy-agent_1.0-1.1597_all.deb
mkdir codedeploy-agent_1.0-1.1597_ubuntu20
dpkg-deb -R codedeploy-agent_1.0-1.1597_all.deb codedeploy-agent_1.0-1.1597_ubuntu20
sed 's/2.0/2.7/' -i ./codedeploy-agent_1.0-1.1597_ubuntu20/DEBIAN/control
dpkg-deb -b codedeploy-agent_1.0-1.1597_ubuntu20
dpkg -i codedeploy-agent_1.0-1.1597_ubuntu20.deb
systemctl start codedeploy-agent
systemctl enable codedeploy-agent

Ramstein

Commands
------------
1. Build Docker Image
docker build -t test .

2. Run container /w image
docker run -d --publish 8888:5000 test

3. Login to ECR
aws ecr get-login-password --region REGIONHERE!!!! | docker login --username AWS --password-stdin ACCOUNTIDHERE!!!!.dkr.ecr.REGIONHERE!!!.amazonaws.com

Ramstein

Commands
------------
1. Build Docker Image
docker build -t test .

2. Run container /w image
docker run -d --publish 8888:5000 test

3. Login to ECR
aws ecr get-login-password --region REGIONHERE!!!! | docker login --username AWS --password-stdin ACCOUNTIDHERE!!!!.dkr.ecr.REGIONHERE!!!.amazonaws.com

Ramstein

#!/usr/bin/python

import os
import sys
import boto3

# get an access token, local (from) directory, and S3 (to) directory
# from the command-line
local_directory, bucket, destination = sys.argv[1:4]

Ramstein

# source : http://code.google.com/p/natvpn/source/browse/trunk/stun_server_list
# A list of available STUN server.

stun.l.google.com:19302
stun1.l.google.com:19302
stun2.l.google.com:19302
stun3.l.google.com:19302
stun4.l.google.com:19302
stun01.sipphone.com
stun.ekiga.net

Ramstein

'''
Using OpenCV takes a mp4 video and produces a number of images.

Requirements
----
You require OpenCV 3.2 to be installed.

Run
----
Open the main.py and edit the path to the video. Then run:

Ramstein

VGG-Face model for Keras

This is the Keras model of VGG-Face.

It has been obtained through the following method:

• vgg-face-keras:directly convert the vgg-face matconvnet model to keras model
• vgg-face-keras-fc:first convert vgg-face caffe model to mxnet model,and then convert it to keras model

Details about the network architecture can be found in the following paper: