John Cadengo johncadengo

DaVinci Resolve Scripting Documentation

Updated as of 08 March 2019

In this package, you will find a brief introduction to the Scripting API for DaVinci Resolve Studio. Apart from this README.txt file, this package contains folders containing the basic import modules for scripting access (DaVinciResolve.py) and some representative examples.

Overview

As with Blackmagic Design Fusion scripts, user scripts written in Lua and Python programming languages are supported. By default, scripts can be invoked from the Console window in the Fusion page, or via command line. This permission can be changed in Resolve Preferences, to be only from Console, or to be invoked from the local network. Please be aware of the security implications when allowing scripting access from outside of the Resolve application.

Ubuntu 18.04 VFIO GPU passthrough with a single GPU (onboard automatically disables itself)

Hardware

https://www.reddit.com/r/JDM_WAAAT/comments/8zgkfj/server_build_nas_killer_v_20_the_terminator_dual/ 2x X5650 from this thread Aside from that build guide, a generic USB3 card and an AMD R9-200

Grub

Modify /etc/default/grub and add vfio-pci.ids=dead:beef video=efifb:off to GRUB_CMDLINE_LINUX_DEFAULT (use the PCI vid/pid of your primary GPU, not dead:beef)

Sample config for 2 million web socket connection

    sysctl -w fs.file-max=12000500
    sysctl -w fs.nr_open=20000500
    # Set the maximum number of open file descriptors
    ulimit -n 20000000

    # Set the memory size for TCP with minimum, default and maximum thresholds 
 sysctl -w net.ipv4.tcp_mem='10000000 10000000 10000000'

Big List of Real Estate APIs

Listings / Property Data

####Rets Rabbit http://www.retsrabbit.com

Rets Rabbit removes the nightmare of importing thousands of real estate listings and photos from RETS or ListHub and gives you an easy to use import and Web API server so you can focus on building your listing search powered website or app.

	/*
	Copyright (c) 2018 Kazume Koze
	Released under the MIT license
	https://opensource.org/licenses/mit-license.php
	*/

	//
	// CaseIterable+Index.swift
	//
	//

	# Use this in a situation where you want a headless Linux box with multiple GPU boards but no desktop environment
	# Fake EDID convinces drivers that a monitor is connected
	# Use any EDID binary file
	# To start a fake X server make a systemd file with something like:
	# ExecStart=/usr/bin/tcsh -c 'xinit /opt/set-gpu-fans/setfanspeed.sh -- :0 -once -config /opt/set-gpu-fans/xorg.rob'
	# See other gist for fan setting script : https://gist.github.com/RobDeBagel/a960c2b157256c162220e60300529cf0


	Section "ServerLayout"
	Identifier "Layout0"

	RUN ["apt-get", "update"]
	RUN ["apt-get", "install", "-y", "zsh"]
	RUN wget https://github.com/robbyrussell/oh-my-zsh/raw/master/tools/install.sh -O - \| zsh \|\| true

	# docker exec -it my-app-container /bin/zsh

	// Swift 3

	extension UIButton {

	func pulsate() {

	let pulse = CASpringAnimation(keyPath: "transform.scale")
	pulse.duration = 0.6
	pulse.fromValue = 0.95
	pulse.toValue = 1.0

	public extension MKMultiPoint {
	var coordinates: [CLLocationCoordinate2D] {
	var coords = [CLLocationCoordinate2D](repeating: kCLLocationCoordinate2DInvalid,
	count: pointCount)

	getCoordinates(&coords, range: NSRange(location: 0, length: pointCount))

	return coords
	}
	}

	# See
	# http://docs.celeryproject.org/en/latest/tutorials/daemonizing.html#available-options

	CELERY_APP="App name"
	CELERYD_NODES="worker"
	CELERYD_OPTS=""
	CELERY_BIN="/usr/bin/celery"
	CELERYD_PID_FILE="/var/run/celery/%n.pid"
	CELERYD_LOG_FILE="/var/log/celery/%n.log"
	CELERYD_LOG_LEVEL="INFO"