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@graphific
graphific / 3_install_deeplearning_libs.sh
Last active August 20, 2023 13:31
Installation script for Deep Learning Libraries on Ubuntu 14.04
#!/usr/bin/env bash
# Installation script for Deep Learning Libraries on Ubuntu 14.04, by Roelof Pieters (@graphific)
# BSD License
orig_executor="$(whoami)"
if [ "$(whoami)" == "root" ]; then
echo "running as root, please run as user you want to have stuff installed as"
exit 1
fi
###################################
@fatum12
fatum12 / ttc2ttf.pe
Last active November 2, 2025 01:56
Unpack .ttc and .dfont to .ttf using FontForge
#!/usr/local/bin/fontforge
# Usage: fontforge -script ttc2ttf.pe /path/to/font.ttc
fonts = FontsInFile($1)
n = SizeOf(fonts)
i = 0
while (i < n)
Open($1 + "(" + fonts[i] + ")", 1)
index = ToString(i + 1)
@scottslowe
scottslowe / ubuntu-1404-preseed
Created May 20, 2015 17:49
This is a preseed file, written for Ubuntu Server 14.04.2, that provides a fully automated installation (assuming the presence of a PXE boot infrastructure and a local HTTP server to provide the installation files).
# Ubuntu Server automated installation
# by Scott Lowe (scott.lowe@scottlowe.org)
d-i debian-installer/locale string en_US
d-i console-setup/ask_detect boolean false
d-i keyboard-configuration/layoutcode string us
d-i netcfg/choose_interface select eth0
d-i netcfg/get_hostname string hostname
d-i netcfg/get_domain string domain.com
d-i netcfg/wireless_wep string
@Phaeilo
Phaeilo / archvm.sh
Last active May 24, 2022 19:55
Archlinux VM automated installation script.
#!/bin/bash
# The MIT License (MIT)
#
# Copyright (c) 2015 Philip Huppert
#
# Permission is hereby granted, free of charge, to any person obtaining a copy of
# this software and associated documentation files (the "Software"), to deal in
# the Software without restriction, including without limitation the rights to
# use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of
@massenz
massenz / gtest-install.rst
Last active December 19, 2022 09:14
Describes how to install and run GTest, a Google framework to conduct unit testing in C++

Build and install Google Test

Download the latest_ (1.7.0) from Google Code (Q: where is it going to live, once GCode shuts down?)

Then follow the primer_, but more to the point, the README (YMMV) Having installed CLion and cmake, this is how I built gtest:

brew install cmake
cd gtest-1.7.0
@titipata
titipata / caffe_install.md
Last active January 27, 2022 03:27
My notes on how to install caffe on Ubuntu

Caffe Installation

Note on how to install caffe on Ubuntu. Sucessfully install using CPU, more information for GPU see this link

###Installation

  • verify all the preinstallation according to CUDA guide e.g.
lspci | grep -i nvidia
@YKCzoli
YKCzoli / Lidar_walkthrough.md
Last active November 15, 2023 18:35
Lidar_walkthrough

Processing LiDAR to extract building heights

Walk through

Detailed walk through of building extraction using postgis

First lets pull a data layer from of openstreetmap. You can do this any which way you’d like, as there are a variety of methods for pulling openstreetmap data from their database. Check the [wiki] (http://wiki.openstreetmap.org/wiki/Downloading_data) for a comprehensive list. My favourite method thus far is pulling the data straight into QGIS using the open layers plugin. For those who may want to explore this method, check [this tutorial] (http://www.qgistutorials.com/en/docs/downloading_osm_data.html). For building extraction you only need building footprints, and include the building tags. Not all polygons are of type building in OSM, so we can download all the polygons, and then filter the layer for only polygons tagged as buildings.

LiDAR data was pulled from USGS via the Earth Explorer site. [Here] (http://earthobservatory.nasa.gov/blogs/ele

@tsenart
tsenart / gist:5fc18c659814c078378d
Last active February 25, 2026 11:21
HTTP Closures
package main
import (
"net/http"
"database/sql"
"fmt"
"log"
"os"
)
@ctokheim
ctokheim / cython_tricks.md
Last active March 4, 2024 23:27
cython tricks

Cython

Cython has two major benefits:

  1. Making python code faster, particularly things that can't be done in scipy/numpy
  2. Wrapping/interfacing with C/C++ code

Cython gains most of it's benefit from statically typing arguments. However, statically typing is not required, in fact, regular python code is valid cython (but don't expect much of a speed up). By incrementally adding more type information, the code can speed up by several factors. This gist just provides a very basic usage of cython.

@brenopolanski
brenopolanski / merge-pdf-ghostscript.md
Last active December 29, 2025 04:42
Merge multiple PDFs using Ghostscript

A simple Ghostscript command to merge two PDFs in a single file is shown below:

gs -dNOPAUSE -sDEVICE=pdfwrite -sOUTPUTFILE=combine.pdf -dBATCH 1.pdf 2.pdf

Install Ghostscript:

Type the command sudo apt-get install ghostscript to download and install the ghostscript package and all of the packages it depends on.