Florian Bruggisser cansik

Firstly install Brew on your MAC

ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"

Then install PHP

brew update
brew tap homebrew/dupes
brew tap homebrew/php
brew install php56

Introduction

This is about documenting getting Linux running on the late 2016 and mid 2017 MPB's; the focus is mostly on the MacBookPro13,3 and MacBookPro14,3 (15inch models), but I try to make it relevant and provide information for MacBookPro13,1, MacBookPro13,2, MacBookPro14,1, and MacBookPro14,2 (13inch models) too. I'm currently using Fedora 27, but most the things should be valid for other recent distros even if the details differ. The kernel version is 4.14.x (after latest update).

The state of linux on the MBP (with particular focus on MacBookPro13,2) is also being tracked on https://github.com/Dunedan/mbp-2016-linux . And for Ubuntu users there are a couple tutorials (here and here) focused on that distro and the MacBook.

Note: For those who have followed these instructions ealier, and in particular for those who have had problems with the custom DSDT, modifying the DSDT is not necessary anymore - se

Encoding to Hap from the command line using FFmpeg

For users who prefer working with a command line or need to access advanced encoding settings for Hap the popular FFmpeg library can be used to work with Hap movies.

If this is your first time using FFmpeg you may need to install it on your system, or compile it from source. In either case be sure that Snappy is enabled as part of the binary. If you already have FFmpeg on your system with Snappy enabled, you can skip this step.

You can check that your version of FFmpeg can encode Hap using
```
ffmpeg -encoders | grep hap
```

I was primarily using the JavaCPP presets for OpenCV(JavaCV) and Tesseract

But I also found some references for C++

Here's what works for C++

#include <tesseract/baseapi.h>
#include <leptonica/allheaders.h>    
#include

Tensorflow

System information

OS - High Sierra 10.13
Tensorflow - 1.4
Xcode command line tools - 8.2 (Download from here: Xcode - Support - Apple Developer & Switch to different clang version: sudo xcode-select --switch/Library/Developer/CommandLineTools & check version: clang -v)
Cmake - 3.7
Bazel - 0.7.0

	# The network is used for the video description experiments in [1].
	# Please consider citing [1] if you use this example in your work.
	#
	# [1] S. Venugopalan, H. Xu, J. Donahue, M. Rohrbach, R. Mooney, K.Saenko.
	# "Translating Videos to Natural Language using Deep Recurrrent Neural
	# Networks." NAACL-HLT 2015.

	name: "mean_fc7_to_lstm"
	layer {
	name: "data"

	/*
	* Simple printf for writing to an Arduino serial port. Allows specifying Serial..Serial3.
	*
	* const HardwareSerial&, the serial port to use (Serial..Serial3)
	* const char* fmt, the formatting string followed by the data to be formatted
	*
	* int d = 65;
	* float f = 123.4567;
	* char* str = "Hello";
	* serial_printf(Serial, "<fmt>", d);

	# Script to render a sequence of ply files with Blender. First, setup your scene
	# and material for the imported meshes. Scene must be in "OBJECT"-mode.
	# Fill in variables in options.
	# References.
	# See: http://blender.stackexchange.com/questions/24133/modify-obj-after-import-using-python
	# and: http://blenderartists.org/forum/showthread.php?320309-How-to-import-ply-files-from-script
	import bpy

	# Options.
	meshFolder = "" # Folder without ending "\\".

	public class Client : MonoBehaviour
	{
	private SubscriberSocket m_subscriber;
	private NetMQContext m_context;

	// Use this for initialization
	void Start()
	{
	ForceDotNet.Force();