kevinhughes27

I start by getting the product data from Shopify for the product in question, you might already have this data in your database. Using the Shopify API gem for ruby this looks like:

ruby > product = ShopifyAPI::Product.find(183524354)

which returns the following JSON:
{"body_html":"A Baseball Cap","created_at":"2014-03-14T19:25:19-04:00","handle":"moose","id":183524354,"product_type":"hat","published_at":"2014-03-14T19:25:05-04:00","published_scope":"global","template_suffix":null,"title":"Hat","updated_at":"2014-04-03T12:06:34-04:00","vendor":"kevins_sweet_test_shop","tags":"","variants":[{"barcode":null,"compare_at_price":null,"created_at":"2014-03-14T19:25:19-04:00","fulfillment_service":"manual","grams":0,"id":419761934,"inventory_management":"shopify","inventory_policy":"deny","option1":"Red","option2":null,"option3":null,"position":1,"price":"10.00","product_id":183524354,"requires_shipping":true,"sku":"","taxable":true,"title":"Red","updated_at":"2014-04-03T12:06:34-04:00","inventory_quantity":10,"old

kevinhughes27

#!/usr/bin/env ruby

require 'octokit'
require 'highline/import'
require 'colorize'
require 'byebug'
require 'csv'
require 'active_support/time'

username = ask("Enter your Github username:  ") { |q| q.echo = true }

kevinhughes27

import cv2

CAMERA_INDEX = 0
CODEC = cv2.cv.CV_FOURCC('D','I','V','X')
FPS = 15

def main():

    cam = cv2.VideoCapture()
    cam.open(CAMERA_INDEX)

kevinhughes27

#!/usr/bin/env python

# robust_pca_project.py
#
# Author: Kevin Hughes
# Date: May 2013 

"""
An Implementation of the robust subspace projection technique described in:

kevinhughes27

/* Using OpenCV and Shogun Machine Learning
 * gist by Kevin Hughes
 */

#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>

#include <shogun/base/init.h>
#include <shogun/lib/common.h>
#include <shogun/lib/SGMatrix.h>

kevinhughes27

using namespace Eigen;

// these are the typedefs I like to work with
typedef Matrix< double, Dynamic, 1, ColMajor > EVector;
typedef Matrix< double, Dynamic, Dynamic, ColMajor > EMatrix;

// Mean
EVector mean = X.rowwise().sum() / X.rows();	

// Standard Deviation

kevinhughes27

using namespace Eigen;
typedef Matrix< float64_t, Dynamic, Dynamic, ColMajor > EMatrix;

using std::cout;
using std::endl;

void print(EMatrix A)
{
	int n = A.rows();
	int m = A.cols();

kevinhughes27

#include "FlyCapture2.h"

#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>

#include <iostream>

using namespace FlyCapture2;

int main()

kevinhughes27

#!/bin/bash

set -e
cd $(readlink -f $(dirname $0))
exec ./exe $*

kevinhughes27

cmake_minimum_required(VERSION 2.8 FATAL_ERROR)

project(HelloWorld)
set(EXE HelloWorld)

find_package(PCL 1.6 REQUIRED)
include_directories(${PCL_INCLUDE_DIRS})
link_directories(${PCL_LIBRARY_DIRS})
add_definitions(${PCL_DEFINITIONS})