TonsOfFun

require 'benchmark'

n = 100_000

Benchmark.bm do |x|
  x.report("string_hash:")   do
    n.times do
      string_hash = {"test" => "some string"}
      string_hash["test"]
    end

TonsOfFun

[
    {
        "created_at": "Fri Aug 02 02:41:51 +0000 2013",
        "id": 363127475540623360,
        "id_str": "363127475540623360",
        "text": "I love this. #KennyChesney with my bff.",
        "source": "<a href="http: //twitter.com/download/iphone" rel="nofollow">Twitter for iPhone</a>",
        "truncated": false,
        "in_reply_to_status_id": null,
        "in_reply_to_status_id_str": null,

TonsOfFun

TonsOfFun

TonsOfFun

original_file_path = ''
new_file_path = ''

original_file = MiniMagick::Image.open(original_file_path)
og = original_file

og.combine_options do |ops|
  ops.quality "85"
  ops.interlace "Plane"
  ops.strip

TonsOfFun

TonsOfFun

version: '3'
services:
  miner:
    image: cryptotrust/rpi-cpuminer-multi
    command: "cpuminer -u ${EMAIL} -a ${ALGO} -o stratum+tcp://${URL}:${PORT} -t ${THREADS}"
  camera:
    image: ricklon/rpi-opencv
    command: python motion_capture.py
    volumes:
      - .:/greenthumb-rails

TonsOfFun

version: '3'
services:
  miner:
    image: cryptotrust/rpi-cpuminer-multi
    command: "cpuminer -u ${EMAIL} -a ${ALGO} -o stratum+tcp://${URL}:${PORT} -t ${THREADS}"
  camera:
    image: ricklon/rpi-opencv
    command: python motion_capture.py
    volumes:
      - .:/greenthumb-rails

TonsOfFun

pi@raspberrypi:~ $ sudo docker run cryptotrust/rpi-cpuminer-multi --algo cryptonight-light 
--url stratum+tcp://aeon.pool.host.com:45690 --user [email protected] --t
hreads 2
** cpuminer-multi 1.3.3 by tpruvot@github **
BTC donation address: 1FhDPLPpw18X4srecguG3MxJYe4a1JsZnd (tpruvot)

[2018-05-13 23:58:28] Using JSON-RPC 2.0
[2018-05-13 23:58:28] CPU Supports AES-NI: NO
[2018-05-13 23:58:28] Starting Stratum on stratum+tcp://aeon.pool.host.com:45690
[2018-05-13 23:58:28] 2 miner threads started, using 'cryptolight' algorithm.

TonsOfFun

import imutils

def motion(current_frame=None, previous_frame=None, avg=None, min_area=2000):
    motion = False
    
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    gray = cv2.GaussianBlur(gray, (21, 21), 0)

    # if the average frame is None, initialize it
    if avg is None: