catree

Make sure ffmpeg is up-to-date:

brew update
brew upgrade ffmpeg

Convert a MOV into frames. Tweak the 2/1 if you want more or fewer frames.

Safest way to clean up boot partition - Ubuntu 14.04LTS-x64, Ubuntu 16.04LTS-x64

$ uname -r

A comparison of Theano with other deep learning frameworks, highlighting a series of low-level design choices in no particular order.

Overview

Symbolic: Theano, CGT; Automatic: Torch, MXNet

Symbolic and automatic differentiation are often confused or used interchangeably, although their implementations are significantly different.

Code Clinic 2015: How to Write Code the Compiler Can Actually Optimize (Mike Acton)
http://gdcvault.com/play/1021866/Code-Clinic-2015-How-to

	// ==UserScript==
	// @name Tumblr image size converter
	// @namespace http://tampermonkey.net/
	// @version 0.1
	// @description Force tumblr post photos use high quality
	// @author Alashov Berkeli
	// @include https://www.tumblr.com/*
	// @require https://ajax.googleapis.com/ajax/libs/jquery/1.7/jquery.min.js
	// @grant none
	// ==/UserScript==

	// Homework 2
	// Image Blurring
	//
	// In this homework we are blurring an image. To do this, imagine that we have
	// a square array of weight values. For each pixel in the image, imagine that we
	// overlay this square array of weights on top of the image such that the center
	// of the weight array is aligned with the current pixel. To compute a blurred
	// pixel value, we multiply each pair of numbers that line up. In other words, we
	// multiply each weight with the pixel underneath it. Finally, we add up all of the
	// multiplied numbers and assign that value to our output for the current pixel.

	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 && \

	/**
	* Convert standard camera intrinsic and extrinsic parameters to a vtkCamera instance for rendering
	* Assume square pixels and 0 skew (for now).
	*
	* focal_len : camera focal length (units pixels)
	* nx,ny : image dimensions in pixels
	* principal_pt: camera principal point,
	* i.e. the intersection of the principal ray with the image plane (units pixels)
	* camera_rot, camera_trans : rotation, translation matrix mapping world points to camera coordinates
	* depth_min, depth_max : needed to set the clipping range


	# construct node
	def opencv_matrix(loader, node):
	mapping = loader.construct_mapping(node, deep=True)
	mat = np.array(mapping["data"])
	mat.resize(mapping["rows"], mapping["cols"])
	return mat
	yaml.add_constructor(u"tag:yaml.org,2002:opencv-matrix", opencv_matrix)

	# loading