한동희 hdh7485

## terminal-colors-branch.sh
# Add in ~/.bashrc or ~/.bash_profile
function parse_git_branch () {
  git branch 2> /dev/null | sed -e '/^[^*]/d' -e 's/* \(.*\)/(\1)/'
}

RED="\[\033[01;31m\]"
YELLOW="\[\033[01;33m\]"
GREEN="\[\033[01;32m\]"
BLUE="\[\033[01;34m\]"
NO_COLOR="\[\033[00m\]"

## capture_video.py
import cv2
import math
import os

video_files = next(os.walk('./'), (None, None, []))[2]

for video in video_files:
	print(video)
	cap = cv2.VideoCapture(video)
	frameRate = cap.get(5) #frame rate

## tx2 18.04 sources.list
# See http://help.ubuntu.com/community/UpgradeNotes for how to upgrade to
# newer versions of the distribution.
deb http://ports.ubuntu.com/ubuntu-ports/ bionic main restricted
# deb-src http://ports.ubuntu.com/ubuntu-ports/ bionic main restricted

## Major bug fix updates produced after the final release of the
## distribution.
deb http://ports.ubuntu.com/ubuntu-ports/ bionic-updates main restricted
# deb-src http://ports.ubuntu.com/ubuntu-ports/ bionic-updates main restricted

## px4_bashrc
export PX4_PATH=~/git_repo/PX4-Autopilot
export FLYING_CAR_PATH=~/flyingcar_ws/src
source $PX4_PATH/Tools/setup_gazebo.bash $PX4_PATH $PX4_PATH/build/px4_sitl_default
export ROS_PACKAGE_PATH=$ROS_PACKAGE_PATH:$PX4_PATH
export ROS_PACKAGE_PATH=$ROS_PACKAGE_PATH:$PX4_PATH/Tools/sitl_gazebo
export GAZEBO_MODEL_PATH=$GAZEBO_MODEL_PATH:$FLYING_CAR_PATH

## .vimrc
" To install vundle:
" $git clone https://github.com/VundleVim/Vundle.vim.git ~/.vim/bundle/Vundle.vim
" $vim +PluginInstall +qall
set nocompatible              " be iMproved, required
filetype off                  " required
" set the runtime path to include Vundle and initialize
set rtp+=~/.vim/bundle/Vundle.vim
call vundle#begin()
" alternatively, pass a path where Vundle should install plugins
"call vundle#begin('~/some/path/here')

## cmd_vel_to_ackermann_drive.py
#!/usr/bin/env python

# Author: christoph.roesmann@tu-dortmund.de
# Modifier: Donghee Han, hdh7485@kaist.ac.kr

import rospy, math
from geometry_msgs.msg import Twist
from ackermann_msgs.msg import AckermannDriveStamped
from ackermann_msgs.msg import AckermannDrive

## Control rmd x8 using arduino with can-bus shield
// CAN Send Example
//

#include <mcp_can.h>
#include <SPI.h>

long unsigned int rxId;
unsigned char len = 0;
unsigned char rxBuf[8];
char msgString[128];                        // Array to store serial string

## load_jpeg_with_tensorflow.py
# Typical setup to include TensorFlow.
import tensorflow as tf

# Make a queue of file names including all the JPEG images files in the relative
# image directory.
filename_queue = tf.train.string_input_producer(
    tf.train.match_filenames_once("./images/*.jpg"))

# Read an entire image file which is required since they're JPEGs, if the images
# are too large they could be split in advance to smaller files or use the Fixed
	# Add in ~/.bashrc or ~/.bash_profile
	function parse_git_branch () {
	git branch 2> /dev/null \| sed -e '/^[^]/d' -e 's/ \(.*\)/(\1)/'
	}

	RED="\[\033[01;31m\]"
	YELLOW="\[\033[01;33m\]"
	GREEN="\[\033[01;32m\]"
	BLUE="\[\033[01;34m\]"
	NO_COLOR="\[\033[00m\]"
	import cv2
	import math
	import os

	video_files = next(os.walk('./'), (None, None, []))[2]

	for video in video_files:
	print(video)
	cap = cv2.VideoCapture(video)
	frameRate = cap.get(5) #frame rate
	# See http://help.ubuntu.com/community/UpgradeNotes for how to upgrade to
	# newer versions of the distribution.
	deb http://ports.ubuntu.com/ubuntu-ports/ bionic main restricted
	# deb-src http://ports.ubuntu.com/ubuntu-ports/ bionic main restricted

	## Major bug fix updates produced after the final release of the
	## distribution.
	deb http://ports.ubuntu.com/ubuntu-ports/ bionic-updates main restricted
	# deb-src http://ports.ubuntu.com/ubuntu-ports/ bionic-updates main restricted
	export PX4_PATH=~/git_repo/PX4-Autopilot
	export FLYING_CAR_PATH=~/flyingcar_ws/src
	source $PX4_PATH/Tools/setup_gazebo.bash $PX4_PATH $PX4_PATH/build/px4_sitl_default
	export ROS_PACKAGE_PATH=$ROS_PACKAGE_PATH:$PX4_PATH
	export ROS_PACKAGE_PATH=$ROS_PACKAGE_PATH:$PX4_PATH/Tools/sitl_gazebo
	export GAZEBO_MODEL_PATH=$GAZEBO_MODEL_PATH:$FLYING_CAR_PATH
	" To install vundle:
	" $git clone https://github.com/VundleVim/Vundle.vim.git ~/.vim/bundle/Vundle.vim
	" $vim +PluginInstall +qall
	set nocompatible " be iMproved, required
	filetype off " required
	" set the runtime path to include Vundle and initialize
	set rtp+=~/.vim/bundle/Vundle.vim
	call vundle#begin()
	" alternatively, pass a path where Vundle should install plugins
	"call vundle#begin('~/some/path/here')
	#!/usr/bin/env python

	# Author: christoph.roesmann@tu-dortmund.de
	# Modifier: Donghee Han, hdh7485@kaist.ac.kr

	import rospy, math
	from geometry_msgs.msg import Twist
	from ackermann_msgs.msg import AckermannDriveStamped
	from ackermann_msgs.msg import AckermannDrive
	// CAN Send Example
	//

	#include <mcp_can.h>
	#include <SPI.h>

	long unsigned int rxId;
	unsigned char len = 0;
	unsigned char rxBuf[8];
	char msgString[128]; // Array to store serial string
	# Typical setup to include TensorFlow.
	import tensorflow as tf

	# Make a queue of file names including all the JPEG images files in the relative
	# image directory.
	filename_queue = tf.train.string_input_producer(
	tf.train.match_filenames_once("./images/*.jpg"))

	# Read an entire image file which is required since they're JPEGs, if the images
	# are too large they could be split in advance to smaller files or use the Fixed