kod3r

'''
This is how to track a white ball example using SimpleCV

The parameters may need to be adjusted to match the RGB color
of your object.

The demo video can be found at:
http://www.youtube.com/watch?v=jihxqg3kr-g
'''
print __doc__

kod3r

import cv2  
import numpy as np

class BagOfFeatures:
    """This is a class of Bag-of-Features by K-means for OpenCV"""
    codebookSize=0
    classifier=None
    def __init__(self, codebookSize):
        self.codebookSize=codebookSize
        self.classifier=cv2.KNearest()

kod3r

#include "cv.h"
#include "cvaux.h"
#include "highgui.h"

// for filelisting
#include <stdio.h>
#include <io.h>
// for fileoutput
#include <string>
#include <fstream>

kod3r

/* Getopt for GNU.
   NOTE: getopt is now part of the C library, so if you don't know what
   "Keep this file name-space clean" means, talk to [email protected]
   before changing it!
   Copyright (C) 1987,88,89,90,91,92,93,94,95,96,98,99,2000,2001
        Free Software Foundation, Inc.
   This file is part of the GNU C Library.

   The GNU C Library is free software; you can redistribute it and/or
   modify it under the terms of the GNU Lesser General Public

kod3r

import cv2  
import numpy as np

class BagOfFeatures:
    """This is a class of Bag-of-Features by K-means for OpenCV"""
    codebookSize=0
    classifier=None
    def __init__(self, codebookSize):
        self.codebookSize=codebookSize
        self.classifier=cv2.KNearest()

kod3r

#!/usr/bin/env python
# -*- coding: utf-8 -*-

#
# Test that I passed on codility.com for TopTal company
#


# Task #1
def binary_gap(N):

kod3r

/*
 *  OGL_OCV_common.cpp
 *  Common interop between OpenCV and OpenGL
 *
 *  Created by Roy Shilkrot on 2/16/2015
 *  Copyright 2015 Roy Shilkrot. All rights reserved.
 *
 *  Permission is hereby granted, free of charge, to any person obtaining a copy
 *  of this software and associated documentation files (the "Software"), to deal
 *  in the Software without restriction, including without limitation the rights

kod3r

do androids dream of cooking?

The following recipes are sampled from a trained neural net. You can find the repo to train your own neural net here: https://github.com/karpathy/char-rnn Thanks to Andrej Karpathy for the great code! It's really easy to setup.

The recipes I used for training the char-rnn are from a recipe collection called ffts.com And here is the actual zipped data (uncompressed ~35 MB) I used for training.

It seems to be in a format intended to be read by a program called Meal-Master, therefore you will see those lines repeated all over:

kod3r

Studying for a Tech Interview Sucks, so Here's a Cheat Sheet to Help

This list is meant to be a both a quick guide and reference for further research into these topics. It's basically a summary of that comp sci course you never took or forgot about, so there's no way it can cover everything in depth. It also will be available as a gist on Github for everyone to edit and add to.

Data Structure Basics

###Array ####Definition:

• Stores data elements based on an sequential, most commonly 0 based, index.
• Based on tuples from set theory.

kod3r

Moved to a proprer repositoy, TSWS is a real boy now!

https://github.com/dfletcher/tsws

PRs welcomed.