isaacjwilliams

// Global
const secondsPerMonth = 31 * 24 * 3600;

// Lambda (based on: https://aws.amazon.com/lambda/pricing/)
const costPerProvisionedGbs = 0.0000041667;
const costPerMillionRequests = 0.20;
const costPerProvisionedDurationGbs = 0.0000097222;
const costPerDurationGbs = 0.0000166667;

// Warmer

p2or

# ##### BEGIN GPL LICENSE BLOCK #####
#
#  This program is free software; you can redistribute it and/or
#  modify it under the terms of the GNU General Public License
#  as published by the Free Software Foundation; either version 2
#  of the License, or (at your option) any later version.
#
#  This program is distributed in the hope that it will be useful,
#  but WITHOUT ANY WARRANTY; without even the implied warranty of
#  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the

DjinnGA

#!/bin/bash

hdiutil create -o /tmp/Mojave.cdr -size 8g -layout SPUD -fs HFS+J
hdiutil attach /tmp/Mojave.cdr.dmg -noverify -mountpoint /Volumes/install_build
sudo /Applications/Install\ macOS\ 10.14\ Beta.app/Contents/Resources/createinstallmedia --volume /Volumes/install_build
mv /tmp/Mojave.cdr.dmg ~/Desktop/InstallSystem.dmg
hdiutil detach /Volumes/Install\ macOS\ 10.14\ Beta
hdiutil convert ~/Desktop/InstallSystem.dmg -format UDTO -o ~/Desktop/Mojave.iso

fortinmike

// NOTE: Copied and cleaned-up from Unity/Libraries/VuforiaNativeRendererController.mm
// REASON: The .mm file did not expose an interface and categorically overrode the Unity app delegate subclass
// using `IMPL_APP_CONTROLLER_SUBCLASS(VuforiaNativeRendererController)`, preventing us from providing our own
// subclass of `VuforiaNativeRendererController` to serve as the final app delegate. Diff this file with the
// source file (specified above) to view the applied changes.

#import "CustomVuforiaNativeRendererController.h"
#import "VuforiaRenderDelegate.h"

// Unity native rendering callback plugin mechanism is only supported

garybradski

import cv2
 
# Read the images
foreground = cv2.imread("puppets.png")
background = cv2.imread("ocean.png")
alpha = cv2.imread("puppets_alpha.png")
 
# Convert uint8 to float
foreground = foreground.astype(float)
background = background.astype(float)

Manikkumar1988

curl https://slack.com/api/files.upload -F token="${SLACK_TOKEN}" -F channels="${SLACK_CHANNEL}" -F title="${message_title}" -F filename="${filename}" -F file=@"${path_to_file}"

niranjv

# A virtualenv running Python3.6 on Amazon Linux/EC2 (approximately) simulates the Python 3.6 Docker container used by Lambda
# and can be used for developing/testing Python 3.6 Lambda functions
# This script installs Python 3.6 on an EC2 instance running Amazon Linux and creates a virtualenv running this version of Python
# This is required because Amazon Linux does not come with Python 3.6 pre-installed 
# and several packages available in Amazon Linux are not available in the Lambda Python 3.6 runtime

# The script has been tested successfully on a t2.micro EC2 instance (Root device type: ebs; Virtualization type: hvm)
# running Amazon Linux AMI 2017.03.0 (HVM), SSD Volume Type - ami-c58c1dd3
# and was developed with the help of AWS Support

mjdietzx

#!/bin/bash

# install CUDA Toolkit v8.0
# instructions from https://developer.nvidia.com/cuda-downloads (linux -> x86_64 -> Ubuntu -> 16.04 -> deb (network))
CUDA_REPO_PKG="cuda-repo-ubuntu1604_8.0.61-1_amd64.deb"
wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/${CUDA_REPO_PKG}
sudo dpkg -i ${CUDA_REPO_PKG}
sudo apt-get update
sudo apt-get -y install cuda

RaminNietzsche

import base64
from io import BytesIO
from PIL import Image

file = "data:image/png;base64,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

joseph-zhong

To build OpenCV3.0 for AWS Lambda Python

Summary

Because AWS Lambda runs in a Amazon Linux environment, to run external modules you must

Create the OpenCV build environment

sudo yum update -y