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name: GoogLeNet_cars

caffemodel: googlenet_finetune_web_car_iter_10000.caffemodel

license: non-commercial

caffe_commit: 737ea5e936821b5c69f9c3952d72693ae5843370

	// Home monitoring CurrentCost monitors such as CC128 and EnviR
	//
	// Version specifically for Nanode, www.nanode.eu
	// I am using with Arduino/Freeduino and EtherShield (ENC28J60 based)
	// CC128 connected to pin 0 - UART Serial in and ground
	//
	// If using regular Arduino or clode with FTDI chip:
	// PCB track between FTTDI chip and R11 is cut to disable USB/SERIAL.
	// Just short gap to re-program
	//

	<!DOCTYPE html>
	<html>
	<head>
	<script type="text/javascript" src="http://mbostock.github.com/d3/d3.js?1.29.6"></script>
	</head>
	<body>
	<script type="text/javascript">

	var svg = d3.select("body").append("svg:svg")
	.attr("width", 960)

	import numpy as np
	import os, sys, getopt

	# Main path to your caffe installation
	caffe_root = '/path/to/your/caffe/'

	# Model prototxt file
	model_prototxt = caffe_root + 'models/bvlc_googlenet/deploy.prototxt'

	# Model caffemodel file

	var five = require('johnny-five'),
	io = require('socket.io').listen(8080),
	board, potentiometer;

	board = new five.Board();

	board.on("ready", function() {

	// Create a new `potentiometer` hardware instance.
	potentiometer = new five.Sensor({

	from __future__ import division
	import cv2
	import cv2.cv as cv
	import sys
	import pdb

	def detect(img, cascade):
	rects = cascade.detectMultiScale(img, scaleFactor=1.1, minNeighbors=3, minSize=(10, 10), flags = cv.CV_HAAR_SCALE_IMAGE)
	if len(rects) == 0:
	return []