clungzta

$ ssh-keygen
    *enter*
    *enter*
    *enter*
$ ssh-copy-id [remote-user]@[remote-host]

clungzta

{
    "type": "DeviceConfiguration",
    "general": {
        "hostname": "RouterA"
    },
    "interfaces": [
        {
            "name": "lo0",
            "type": "ethernet",
            "addresses": [

clungzta

import cv2
import numpy as np
from matplotlib import pyplot as plt

img1 = cv2.imread('/home/alex/Downloads/snapshot (2).jpg',0)  #queryimage # left image
img2 = cv2.imread('/home/alex/Downloads/snapshot (1).jpg',0) #trainimage # right image

sift = cv2.xfeatures2d.SIFT_create()

# find the keypoints and descriptors with SIFT

clungzta

'''
kalman2d_opencv3 - Simple 2D Kalman filter for OpenCV3

Based on http://stackoverflow.com/questions/29012038/is-there-any-example-of-cv2-kalmanfilter-implementation

Copyright (C) 2017 Alex McClung

This code is free software: you can redistribute it and/or modify
it under the terms of the GNU Lesser General Public License as
published by the Free Software Foundation, either version 3 of the

clungzta

def centre_of_mass(mask):
    """
    @brief      Finds the centre of mass of a cv2 (np uint8) binary mask. Does not use cv2.moments or contours

    @param      mask  The binary mask image

    @return     The spatial centre of mass of the mask.
    """
    
    Y, X = np.mgrid[0:mask.shape[0]:1, 0:mask.shape[1]:1]

clungzta

Hardware

1. Mount the lighthouse beacons according to mounting/hardware setup instructions here.
2. Power up the: beacons, HMD (headset), watchmans (controllers)
3. Plug in USB cable from link box to computer (HDMI cable can be ignored if only using the position tracking with libsurvive)

Software

Ensure external dependencies are installed They are listed in libsurvive readme

clungzta

#!/usr/bin/env python
import sys
import rospy
import cv2
import video
import numpy as np
from mosse import MOSSE
from std_msgs.msg import String
from sensor_msgs.msg import Image
# from common import draw_str, RectSelector

clungzta

#!/usr/bin/env python
import os
import tf
import sys
import cv2
import time
import rospy
import random
import pprint
import image_geometry

clungzta

<launch>
    <include file="$(find rosbridge_server)/launch/rosbridge_websocket.launch" />
    <include file="$(find dn_object_detect)/launch/objdetect.launch" />
    <include file="$(find dn_display_demo)/launch/display_demo.launch" />
</launch>

clungzta

import os
import cv2
import numpy as np

#Try block for OpenCV 2/3 version compatabillity
try:
    fgbg = cv2.BackgroundSubstractor()
except:
    fgbg = cv2.BackgroundSubtractorMOG2()