travis

Keybase proof

I hereby claim:

• I am travis on github.
• I am tvachon (https://keybase.io/tvachon) on keybase.
• I have a public key whose fingerprint is D776 98DB FE44 F081 E1DF 25AE 6A7B 3128 E72C 822A

To claim this, I am signing this object:

travis

👻  lein cljsbuild once
Mar 31, 2014 2:32:38 PM org.apache.http.impl.client.DefaultRequestDirector tryConnect
INFO: I/O exception (java.net.NoRouteToHostException) caught when connecting to the target host: No route to host
Mar 31, 2014 2:32:38 PM org.apache.http.impl.client.DefaultRequestDirector tryConnect
INFO: Retrying connect

travis

(defn watchable-projects [user]
  (go-catch
   (let [accessible-projects-query-ch
         (accessible-projects-query user)

         watched-projects-ch
         (watched-projects user)

         accessible-projects-ch 
         (parse/find (<? accessible-projects-query-ch))]

travis

function watchableProjects (user, callbacks) {
  var diff, accessibleProjects, watchedProjects;
  createAccessibleProjectsQuery(function(accessibleProjectsQuery) {
    findAccessibleProjects(function(ap){
      accessibleProjects = ap;
      diff();
    });
  });

  findWatchedProjects(function(wp){

travis

(extend-type ParseObject
  ILookup
  (-lookup [obj key]
    (case key
      :id (.-id obj)
      ;; wrap dates so they're easier to serialize
      :createdAt (js/Date. (.-createdAt obj))
      :updatedAt (js/Date. (.-updatedAt obj))
       (.get obj (name key))))

travis

# /*****************************************************************************************
# * Name : Fast object tracking using the OpenCV library *
# * Author : Lior Chen <chen.lior@gmail.com> *
# * Notice : Copyright (c) Jun 2010, Lior Chen, All Rights Reserved *
# * : *
# * Site : http://www.lirtex.com *
# * WebPage : http://www.lirtex.com/robotics/fast-object-tracking-robot-computer-vision *
# * : *
# * Version : 1.0 *
# * Notes : By default this code will open the first connected camera. *

travis

#!/usr/bin/python
# -*- coding: utf-8 -*-
from opencv.cv import *
from opencv.highgui import *
from threading import Thread
#import serial

class RobotVision:
    cvSize size
    cvImage hsv_frame, thresholded, thresholded2

travis

# this uses openvc's hough circles detection to find circles in the image
# http://docs.opencv.org/modules/imgproc/doc/feature_detection.html?highlight=cvhoughcircles#houghcircles
circles = cvHoughCircles(thresholded, storage, CV_HOUGH_GRADIENT, 2, thresholded.height/4, 100, 40, 20, 200)

# find largest circle
maxRadius = 0
x = 0
y = 0
found = False
for i in range(circles.total):

travis

/*****************************************************************************************
* Name : Fast object tracking using the OpenCV library *
* Author : Lior Chen <chen.lior@gmail.com> *
* Notice : Copyright (c) Jun 2010, Lior Chen, All Rights Reserved *
* : *
* Site : http://www.lirtex.com *
* WebPage : http://www.lirtex.com/robotics/fast-object-tracking-robot-computer-vision *
* : *
* Version : 1.0 *

travis

(.get "/builds"
    (->
      (fn [request response]
        (go
          (try
            (let [user (<? (fetch (express/current-user)))
                  builds (<? (domain/recent-builds user))]
              (.send response 200 (str (map #(parse-object-map % [:id]) builds))))
            (catch :default e
              (log-exception e)