Bundle Sizes
Your mileage will vary.
React
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;SMBDIS.ASM - A COMPREHENSIVE SUPER MARIO BROS. DISASSEMBLY | |
;by doppelganger (doppelheathen@gmail.com) | |
;This file is provided for your own use as-is. It will require the character rom data | |
;and an iNES file header to get it to work. | |
;There are so many people I have to thank for this, that taking all the credit for | |
;myself would be an unforgivable act of arrogance. Without their help this would | |
;probably not be possible. So I thank all the peeps in the nesdev scene whose insight into | |
;the 6502 and the NES helped me learn how it works (you guys know who you are, there's no |
Your mileage will vary.
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#!/bin/sh | |
# | |
# Here is the software that is needed for the conversion to take place: | |
# 1. DjVuLibre . | |
# 2. LibTiff . | |
# | |
# NOTE: The ddjvu utility has an option to convert specific layers. One common mistake is to convert only the mask layer | |
# or the foreground layer . Technically speaking, the mask layer is the one that should have the actual text but in | |
# practice I have seen that the the DjVu encoder occasionally puts portions of the text in the background layer. Thus, | |
# if you only take the foreground or mask layers, you will lose those bits in the background. If your specific files |
library(mnormt) | |
mycols <- topo.colors(100,0.5) | |
xhat <- c(0.2, -0.2) | |
Sigma <- matrix(c(0.4, 0.3, | |
0.3, 0.45), ncol=2) | |
x1 <- seq(-2, 4,length=151) | |
x2 <- seq(-4, 2,length=151) | |
f <- function(x1,x2, mean=xhat, varcov=Sigma) | |
dmnorm(cbind(x1,x2), mean,varcov) | |
z <- outer(x1,x2, f) |
The aim of this project is to create mobile robot that can navigate correctly in-door environment. The robot can scan and save surrounding environment as occupancy grid, then basing on that map, it can localize and navigate itself on scanned map. Due to these capabilites, the robot can plan a path from A to B as instructed via Rviz on global map (scanned map), it can also detect unknown obstacles during operation and plan a local path to robustly avoid them and ensure the success of navigation task.
Link to github: https://github.com/anindex/navigation-processing-base
Having rather painlessly installed ROS Indigo on El Capitan using Mike Purvis's script, I attempted to upgrade to ROS Kinetic. This gist outlines the problems I encoutered and how I solved them. Hopefully this guide will help others attempting to install ROS Kinetic / Gazebo 7 on El Capitan.
Start with Mike Purvis's script, which currently is setup to install ROS Indigo. In order to install Kinetic instead of Indigo, make sure to set the ROS_DISTRO
environment variable: export ROS_DISTRO=kinetic
.
After you get through rosdep
errors, it's quickest to just work with the catkin config ...
and catkin build ...
commands directly. In fact, I found it most helpful to leave my catkin workspace terminal open at ros-install-osx/kinetic_desktop_full_ws
and t
sudo apt-get update | |
sudo apt-get install -y build-essential gdebi | |
mkdir -p ~/tmp | |
wget https://github.com/nomumu/Kinetic4RPiZero/releases/download/v_2017-10-15/rpi-zerow-kinetic_1.0.0-1_armhf.zip | |
unzip rpi-zerow-kinetic_1.0.0-1_armhf.zip | |
sudo gdebi rpi-zerow-kinetic_1.0.0-1_armhf.deb | |
sudo /opt/ros/kinetic/initialize.sh |