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# imports
import numpy as np
import cv2
import matplotlib.pyplot as plt


# The Hough Transform is a popular algorithm for detecting any shape that can
# be represented in a parametric mathmatical form in binary images. This
# usually means that images need to be thresholded or filtered prior to running

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import math

import Image
import Levenshtein


class BWImageCompare(object):
    """Compares two images (b/w)."""

    _pixel = 255

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#!/usr/bin/env python
# Implementation of algorithm from http://stackoverflow.com/a/22640362/6029703
import numpy as np
import pylab

def thresholding_algo(y, lag, threshold, influence):
    signals = np.zeros(len(y))
    filteredY = np.array(y)
    avgFilter = [0]*len(y)
    stdFilter = [0]*len(y)

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XenomaiVersion=3.0.5
KernelVersion=4.9.y

PLATFORM=arm

git clone https://github.com/raspberrypi/linux.git -b rpi-${KernelVersion} --depth 1

wget http://xenomai.org/downloads/xenomai/stable/xenomai-${XenomaiVersion}.tar.bz2
wget http://xenomai.org/downloads/ipipe/v4.x/arm/ipipe-core-4.4.43-arm-8.patch
wget http://busybox.net/downloads/busybox-1.26.2.tar.bz2

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<?xml version="1.0" encoding="utf-8"?>
<Project DefaultTargets="Build" ToolsVersion="4.0" xmlns="http://schemas.microsoft.com/developer/msbuild/2003">
  <ImportGroup Label="PropertySheets" />
  <PropertyGroup Label="UserMacros">
    <OPENCV_INSTALL_DIR>C:\dev\opencv-2.4.9\build\install</OPENCV_INSTALL_DIR>
  </PropertyGroup>
  <!-- Debug|Win32 -->
  <PropertyGroup Condition="'$(Configuration)|$(Platform)'=='Debug|Win32'">
  </PropertyGroup>
  <ItemDefinitionGroup Condition="'$(Configuration)|$(Platform)'=='Debug|Win32'">

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Building PCL 1.7.2 with Visual Studio

Download

1. PCLをGitからクローンする。(C:\PCL-1.7.2)
   https://github.com/PointCloudLibrary/pcl/tree/pcl-1.7.2

3rdParty

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Building VTK5 with Visual Studio

Download

1. VTK 5.10.1(VTK-5.10.1.zip)をダウンロードしてファイルを解凍する。(C:\VTK-5.10.1) http://www.vtk.org/VTK/resources/software.html#previous
   https://github.com/Kitware/VTK/tree/v5.10.1
   　

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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.

Table of Contents

• Install NVIDIA Graphics Driver via apt-get
• Install NVIDIA Graphics Driver via runfile
  • Remove Previous Installations (Important)
  • Download the Driver
  • Install Dependencies
  • Creat Blacklist for Nouveau Driver

• Stop lightdm/gdm/kdm

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#!/usr/bin/env bash

# This is an installation tutorial of the OROCOS v2.8 with the ROS Indigo and 
# the Xenomai 2.6.4 on Ubuntu 14.04. 
# The following is adapted from:
# https://help.ubuntu.com/community/Kernel/Compile#Alternate_Build_Method:_The_Old-Fashioned_Debian_Way
# http://www.xenomai.org/documentation/xenomai-2.6/README.INSTALL

# Update kernel
sudo apt-get install linux-image-generic-lts-trusty

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Testing qemu 2.1 arm64 support

qemu-system-aarch64 -m 1024 -cpu cortex-a57 -nographic -machine virt -kernel trusty-server-cloudimg-arm64-vmlinuz-generic -append 'root=/dev/vda1 rw rootwait mem=1024M console=ttyAMA0,38400n8 init=/usr/lib/cloud-init/uncloud-init ds=nocloud ubuntu-pass=ubuntu' -drive if=none,id=image,file=trusty-server-cloudimg-arm64-disk1.img -netdev user,id=user0 -device virtio-net-device,netdev=user0 -device virtio-blk-device,drive=image

qemu-system-aarch64 -m 1024 -cpu cortex-a57 -nographic -machine virt -kernel trusty-server-cloudimg-arm64-vmlinuz-generic -append 'root=/dev/vda1 rw rootwait mem=1024M console=ttyAMA0,38400n8 init=/usr/lib/cloud-init/uncloud-init ds=nocloud' -drive if=none,id=image,file=trusty-server-cloudimg-arm64-disk1.img -netdev user,id=user0 -device virtio-net-device,netdev=user0 -device virtio-blk-device,drive=image

[A Quick'n'Dirty Set-up of an Aarch64 Ubuntu 14.04 VM with QEMU]