Mount Synology NFS share to Ubuntu 16.04

I have all hardware virtualized in ESXi 6.5...
Synology DSM 5.2-5644
Ubuntu 16.04

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On your fresh install on Ubuntu 16.04:

Click the Connections icon on the top bar
Goto Edit Connections

PharrellWANG / how-to-install-latest-gcc-on-ubuntu-lts.txt

Created July 13, 2021 12:41 — forked from application2000/how-to-install-latest-gcc-on-ubuntu-lts.txt

How to install latest gcc on Ubuntu LTS (12.04, 14.04, 16.04)

	These commands are based on a askubuntu answer http://askubuntu.com/a/581497
	To install gcc-6 (gcc-6.1.1), I had to do more stuff as shown below.
	USE THOSE COMMANDS AT YOUR OWN RISK. I SHALL NOT BE RESPONSIBLE FOR ANYTHING.
	ABSOLUTELY NO WARRANTY.

	If you are still reading let's carry on with the code.

	sudo apt-get update && \
	sudo apt-get install build-essential software-properties-common -y && \
	sudo add-apt-repository ppa:ubuntu-toolchain-r/test -y && \

PharrellWANG / How to Access Data in the Backbuffer in Direct3D 9.cpp

Created February 27, 2021 04:07 — forked from karlgluck/How to Access Data in the Backbuffer in Direct3D 9.cpp

This is the code for accessing pixel data from the backbuffer in a D3D9 application. Keywords: LPDIRECT3DSURFACE9 read backbuffer copy back buffer directly access back buffer Direct3D device DirectX 9

	void demoExtractBackBufferPixels(LPDIRECT3DDEVICE9 d3d_device) {

	// TODO: In your app, add FAILED() macros to check the HRESULTs passed back
	// by each of the API calls. I leave these out for clarity.

	// Grab the backbuffer from the Direct3D device
	LPDIRECT3DSURFACE9 back_buffer = NULL;
	d3d_device->GetBackBuffer(0, 0, D3DBACKBUFFER_TYPE_MONO, &back_buffer);

	// Get the buffer's description and make an offscreen surface in system memory.

PharrellWANG / Demo.c

Created January 6, 2021 08:15 — forked from mikeando/Demo.c

Example of using C++ from C.

	#include "HMyClass.h"
	#include <stdio.h>

	void my_eh( const char * error_message, void * unused)
	{
	printf("my_eh: %s\n", error_message);
	}

	int main()
	{

PharrellWANG / Install Zsh and Oh-my-zsh on CentOS 7.md

Created October 24, 2020 02:46 — forked from OndrejValenta/Install Zsh and Oh-my-zsh on CentOS 7.md

Install Zsh and Oh-my-zsh on CentOS 7

Based on this article

ALL INSTALLATIONS ASSUME YES WHEN PROMPTED, that's what -y does

This script can be copy paste to ssh as is. No hands installation. :-)

yum install zsh -y

PharrellWANG / youtube_format_code_itag_list.md

Created January 6, 2019 08:07 — forked from sidneys/youtube_format_code_itag_list.md

YouTube video stream format codes itags

YouTube video stream format codes

Comprehensive list of YouTube format code itags

itag Code	Container	Content	Resolution	Bitrate	Range	VR / 3D
5	flv	audio/video	240p	-	-	-
6	flv	audio/video	270p	-	-	-
17	3gp	audio/video	144p	-	-	-
18	mp4	audio/video	360p	-	-	-
22	mp4	audio/video	720p	-	-	-

PharrellWANG / moving_mnist.py

Created December 16, 2018 14:52 — forked from tencia/moving_mnist.py

	from PIL import Image
	import sys
	import os
	import math
	import numpy as np

	###########################################################################################
	# script to generate moving mnist video dataset (frame by frame) as described in
	# [1] arXiv:1502.04681 - Unsupervised Learning of Video Representations Using LSTMs
	# Srivastava et al

PharrellWANG / tf.py

Created November 23, 2018 02:54 — forked from koaning/tf.py

tensorflow layer example

	import tensorflow as tf
	import numpy as np
	import uuid

	x = tf.placeholder(shape=[None, 3], dtype=tf.float32)
	nn = tf.layers.dense(x, 3, activation=tf.nn.sigmoid)
	nn = tf.layers.dense(nn, 5, activation=tf.nn.sigmoid)
	encoded = tf.layers.dense(nn, 2, activation=tf.nn.sigmoid)
	nn = tf.layers.dense(encoded, 5, activation=tf.nn.sigmoid)
	nn = tf.layers.dense(nn, 3, activation=tf.nn.sigmoid)

PharrellWANG / doit.sh

Created November 3, 2018 03:11 — forked from charlesreid1/doit.sh

Download the Large-scale CelebFaces Attributes (CelebA) Dataset from their Google Drive link

	#!/bin/bash
	#
	# Download the Large-scale CelebFaces Attributes (CelebA) Dataset
	# from their Google Drive link.
	#
	# CelebA: http://mmlab.ie.cuhk.edu.hk/projects/CelebA.html
	#
	# Google Drive: https://drive.google.com/drive/folders/0B7EVK8r0v71pWEZsZE9oNnFzTm8

	python3 get_drive_file.py 0B7EVK8r0v71pZjFTYXZWM3FlRnM celebA.zip

PharrellWANG / Visual Studio 2017 Enterprise & Professional

Created October 6, 2018 04:45 — forked from CHEF-KOCH/Visual Studio 2017 Enterprise & Professional

Visual Studio 2017 Enterprise & Professional

	Enterprise: NJVYC-BMHX2-G77MM-4XJMR-6Q8QF
	Professional: KBJFW-NXHK6-W4WJM-CRMQB-G3CDH

	Keys are generic ones. These are the same from MSDN account.


	Product Key : -6Q8QF
	Validity : Valid
	Product ID : 00369-90000-00000-AA703
	Advanced ID : XXXXX-03699-000-000000-00-1032-9200.0000-0672017