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import Foundation | |
import AVKit | |
class VideoHelper { | |
static func getThumbnail(from player: AVPlayer, at time: CMTime) -> CGImage? { | |
do { | |
guard let currentItem = player.currentItem else { return nil } | |
let asset = currentItem.asset | |
let imgGenerator = AVAssetImageGenerator(asset: asset) |
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// | |
// MTLTexture+Z.swift | |
// ZKit | |
// | |
// The MIT License (MIT) | |
// | |
// Copyright (c) 2016 Electricwoods LLC, Kaz Yoshikawa. | |
// | |
// Permission is hereby granted, free of charge, to any person obtaining a copy | |
// of this software and associated documentation files (the "Software"), to deal |
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/* | |
The "hello world" of neural networks: a simple 3-layer feed-forward | |
network that implements an XOR logic gate. | |
The first layer is the input layer. It has two neurons a and b, which | |
are the two inputs to the XOR gate. | |
The middle layer is the hidden layer. This has two neurons h1, h2 that | |
will learn what it means to be an XOR gate. | |
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Start a g2.2xlarge or better (GPU instance) with https://console.aws.amazon.com/ec2/v2/home?region=us-east-1#LaunchInstanceWizard:ami=ami-ffba7b94 | |
Login, username is ubuntu | |
Update a bunch of stuff and make sure cudnn R2 is used: | |
luarocks install image | |
luarocks install loadcaffe | |
luarocks install torch | |
export LD_LIBRARY_PATH=/home/ubuntu/torch-distro/install/lib:/home/ubuntu/torch-distro/install/lib:/home/ubuntu/cudnn-6.5-linux-x64-v2-rc2 |