#Extract dense optical flow and save as grayscale or RGB images Copyright @ Kai Kang (myfavouritekk@gmail.com) 2016
##Dependencies
- OpenCV 2 with
Python
interface glob
,numpy
,siopy
##Usages
# help messages
#Extract dense optical flow and save as grayscale or RGB images Copyright @ Kai Kang (myfavouritekk@gmail.com) 2016
##Dependencies
Python
interfaceglob
, numpy
, siopy
##Usages
# help messages
########## | |
# Win10 Initial Setup Script | |
# Author: Disassembler <disassembler@dasm.cz> | |
# Version: 1.7, 2016-08-15 | |
# dasm's script: https://github.com/Disassembler0/Win10-Initial-Setup-Script/ | |
# THIS IS A PERSONALIZED VERSION | |
# This script leaves more MS defaults on, including MS security features. | |
# Tweaked based on personal preferences for @alirobe 2016-11-16 - v1.7.1 |
In this article, I will share some of my experience on installing NVIDIA driver and CUDA on Linux OS. Here I mainly use Ubuntu as example. Comments for CentOS/Fedora are also provided as much as I can.
#!/bin/bash | |
# Destination must exist as empty repo on github | |
GIT_REPO="git@github.com:opencog/opencog.git" | |
TEMP_PATH=~/src/opencog_bzr_to_git | |
echo "Using $TEMP_PATH as working dir" | |
BRANCHES=(trunk UnityEmbodiment) | |
mkdir -p ${TEMP_PATH} | |
cd ${TEMP_PATH} |
#!/bin/bash | |
resolve_path() { | |
# From https://github.com/keen99/shell-functions/tree/master/resolve_path | |
#I'm bash only, please! | |
# usage: resolve_path <a file or directory> | |
# follows symlinks and relative paths, returns a full real path | |
# | |
local owd="$PWD" | |
#echo "$FUNCNAME for $1" >&2 |
#!/usr/bin/env python | |
# gpu_stat.py [DELAY [COUNT]] | |
# dump gpu stats as a line of json | |
# {"time": 1474168378.146957, "pci_tx": 146000, "pci_rx": 1508000, | |
# "gpu_util": 42, "mem_util": 24, "mem_used": 11710, | |
# "temp": 76, "fan_speed": 44 } |
<!-- Assume spreadsheets is a django pagination object and pages is an iterable of page numbers to display --> | |
<!-- Note: this doesn't preserve GET parameters or hash fragments --> | |
<div class="pagination"> | |
<ul> | |
{% if spreadsheets.has_previous %} | |
<li><a href="?page={{ spreadsheets.previous_page_number }}">«</a></li> | |
{% else %} | |
<li class="disabled"><a href="?page={{ spreadsheets.previous_page_number }}">«</a></li> | |
{% endif %} |
""" | |
A script to run on a Windows 7 host after installing the Access redistributable: | |
http://www.microsoft.com/en-nz/download/details.aspx?id=13255 | |
Install Python 2.7, and then pyodbc from: | |
http://code.google.com/p/pyodbc/ | |
The script dumps all tables to a dictionary and pickles it. The dictionary has a key for each table name, each value is a dictionary that has the following keys. |
#!/usr/bin/env bash | |
# Installation script for Deep Learning Libraries on Ubuntu 14.04, by Roelof Pieters (@graphific) | |
# BSD License | |
orig_executor="$(whoami)" | |
if [ "$(whoami)" == "root" ]; then | |
echo "running as root, please run as user you want to have stuff installed as" | |
exit 1 | |
fi | |
################################### |
#!/usr/bin/env bash | |
set -e | |
# Test script for checking if Cuda and Drivers correctly installed on Ubuntu 14.04, by Roelof Pieters (@graphific) | |
# BSD License | |
if [ "$(whoami)" == "root" ]; then | |
echo "running as root, please run as user you want to have stuff installed as" | |
exit 1 |