Showing posts with label processing. Show all posts
Showing posts with label processing. Show all posts

Saturday, December 29, 2012

C4CNC101 - Section 1: Intro To Functions

DISCLAIMER:
(1) If you are already familiar with functions, variables, types, otherwise coding basics, C4CNC101 is not for you.  I'd recommend taking a look at something like The Nature Of Code if you're interested in getting up and running with processing.
(2) A familiarity with digital art in general, including coordinate systems, pixels, etc will be extremely helpful.  If you've ever used Photoshop, Illustrator, or any other digital art program, 2d or 3d, you should be good to go.
(3) If you're a programmer, you'll probably find tons of inconsistencies or things i'm glossing over.  My goal here is not to teach programming, it's more to get people who want to get into using code as a tool to create or augment the creation of art up and running, enough to give them the foundation knowledge to research deeper if they so choose.  I've done alot of thinking about this and I believe the information as I've presented it is true in spirit and in the scope of processing.

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    Ok, so hopefully by now you've downloaded and installed processing, signed up for an OpenProcessing account, and joined the C4CNC Classroom on OpenProcessing.  The first step is really the only requirement, but i do recommend at least peeking around OpenProcessing to get an idea of what's possible.  I'll warn you in advance that if you're just starting out, it can be pretty easy to get overwhelmed by the breadth and depth of content therein, but fear not!  Hopefully by the time we're through these first five lessons, you'll know enough to read through some of the sketches and even build your own sketches based off of them.  As I mentioned in the last post, if you come across any sketches or effects you'd like to remix, breakdown, or dive into deeper, let me know and I'll work something out for a future set of tutorials.  Alright, so let's begin!

    First, let's conceptualize a computer program as nothing more than a set of commands or instructions that processes information and produces results based on the specifics of the information and the commands.  While that's a bit of an oversimplification, on some level this holds true for any program, from the small visualization sketches we'll be writing here, all the way up to full on operating systems like Windows or Linux.  We call these instructions functions and we call the information data.  So let's write our first program.  Open processing and type the following function:

ellipse(50, 50, 50, 50);

    Once that's in place, press the Run button (it looks like a 'Play' button) in the upper left hand corner.  Alternately, you can check out the sketch on OpenProcessing(1-1: Basic Functions), although I highly recommend you follow along by typing the code yourself to get the most out of these lessons.  Either way, you should see something like the following:

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CODERSPEAK: When we issue a command in a program, we say we are calling the function or making a function call, and when we provide data to a function, we say we are passing an argument (or arguments).  So when we issue a command and give it some information, we are calling a function with arguments.

    This may not look like much, but it's actually a valid processing sketch, so congrats.  In some languages, Python for example, a single function like this could also comprise a valid and complete program, so not bad for a first step!  Sure, it's not very exciting and doesn't do much, but we'll get there.

    Now, let's take a moment and break down our function call.  For our intents and purposes, every function call will be a name followed by a set of parentheses.  If we're passing arguments to the function, they'll be between the parentheses, separated by commas.  And finally, we end our function call with a semicolon, so processing knows to move on to the next function.  Thus, the skeleton for any function call is:

functionName(argument1, argument2, argument3, etc);

    Recall that we started out by defining a program as a set of commands(functions) that processes information(data) to produce a result.  Arguments are how we provide the data to a function.  In cases where we're passing multiple arguments, each argument is used by the function to perform a specific task along the way to producing the final result.  So in the case of our first sketch here, as the programmer we're telling processing to:

Draw an ellipse with a position of 50 pixels along the x-axis and 50 pixels along the y-axis, and a size of 50 pixels along the x-axis and 50 pixels along the y-axis.

    Most, if not all, publicly available coding tools and environments have references that describe (some in more detail than others) what each argument does.  For example, take a look at the reference page for the ellipse() function, which not only details the arguments, but also provides some useful tips on calling ellipse().

    Alright, so let's practice a bit by adding a few more functions.  Add another function before the ellipse() call, so your sketch contains the following function calls.  Note that we're changing some of the arguments to the ellipse() call, and you should feel free to change any of the arguments to any of the functions.  Experimentation is a key to learning!

size(400, 400);
ellipse(200, 200, 50, 50);

    As you can probably tell from the result, the size() function sets the size in pixels of our sketch's window.  Even though both functions take a different number of arguments and produce markedly different results, you can see that they both follow the same skeleton we outlined above, i.e.:

functionName(argument1, argument2, argument3, etc);

    Before we get a little more advanced, let's add a few more basic processing functions, again for practice, and also to see how we can affect what we're drawing on-screen so we can start getting an idea of the kind of drawing functionality that processing makes available to our sketches.  We're going to add three more function calls in-between our size() call and our ellipse() call: background(), stroke(), and fill().  Type these functions in as presented below:

size(400, 400);
background(0, 0, 0);
stroke(255, 255, 255);
fill(0, 128, 255);
ellipse(200, 200, 100, 100);

    As the saying goes, the more things change, the more things stay the same.  As we add functions, we see the results compound and the output become more complex, but in the end, all functions are called in the same manner using the same syntax.  Feeling comfortable typing in functions?  Then give the following exercises a try and see what you come up with.  Questions?  Please post them in the comments!

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EXERCISE 1: Draw 5 different ellipses with different radii and in different locations.  Be sure to check out the Processing Language Reference for ellipse() for more details on how the ellipse() function works.  Try changing some of the arguments to the other functions as well!
Exercise 1-1

EXERCISE 2: Take a look at the Language Reference for background(), stroke(), and fill().  Now, take the previous exercise and change the stroke and fill color for each ellipse. While you're at it, change the background color to something a bit friendlier than black, it's getting a bit gloomy in here...
Exercise 1-2

CODERSPEAK: You might be wondering how processing knows what to do when we call any of the functions presented here.  Well, most, if not all programming languages and environments come with a set of pre-existing functions and data that we use to build up our programs initially, which you'll often hear referred to as built-ins or library functions.  When writing programs, you'll use a combination of both built-in functions and data, as well as functions and data you define yourself.  We'll discuss this process in the next couple lessons.






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Saturday, April 14, 2012

prototyper's toolbox: pythonic edition

        I had a really good convo with a co-worker today and I realized I miss working in Python just a wee bit.  For prototyping especially, why wouldn't you use Python?   I'm surprised the thought hasn't really hit me until just now, but you know, the fast turnaround provided by working in an interpreted environment is fairly ideal for rapid prototyping, no?

        As much as I like Unity, it's definitely getting to the point where i'm having to do enough custom implementation that it's putting a damper in my relevant iteration time.  Don't get me wrong, i'm enjoying getting to dip my toes into other languages and features (learning P/Invoke has been pretty cool), but i feel like a Python based prototyping environment might get me a little further a little faster.  More often than not, Python modules work in whatever your Python environment is, and I understand that's not a 1-to-1 comparison as Unity is not a pure .NET environment, but still...

        So in my wanderings last night, I dug up a few different tools that seem like things I'll want to be diving into next.  I went to bed super early, so I haven't spent a ton of time with alot of these resources, but enough to feel like these will all be useful in the future.  Once i get done with this current demo cycle, I'm going to get out of Unityland and start writing standalone apps, just to get more practice writing big software projects.  I feel like I'll have more flexibility in a pure python environment and I'll probably get more done faster. Props to my co-worker Chris for inspiring my search...



Modules/Libraries
        Most of these provide the full suite of lower-level functionality you need for prototyping/building media applications (event loop processing, input management, etc), just import whatever else you need alongside them and you're good to go.  Fair warning, some of these are NUI/MT specific, but then, that's really what I'm into these days.  I gotta say it's also made me realize how much of a gadgetwhore I am, but man, I hate spending money on them, which is probably why i don't have one.  That and it also makes me realize how much of a touch interface freak I am.  I can't say I'm huge on gestures, but touch is cool.  I actually found a fairly extensive list of game engines that would probably be make great generic event loop/input/rendering managers too, that's for another blogpost...

android-pythonPython for Android
I'm not 100% sure why i put this here but it seemed like a cool little aside. I only glanced over the docs a bit, so I can't make any recommendations, but I will say it's definitely more of a power tool than a ready to go development resource. More and more i keep finding reasons to want to get that Android device i keep threatening to get, but then i think, ugh, do i really want to spend money on another gadget? "Another", like i own a bunch of them already...

pygame_projects pygame and PyKinect
I lumped both of these together because most of the PyKinect samples run on pygame anyway, altho nothing precludes you from using your event loop manager (heretoforth referred to as ELMs) of choice. While this isn't necessarily MT, if you want to get started with NUI prototyping, this is honestly the way I'd recommend going. The Kinect SDK is super easy to write code against, you'll be doing crazy things in no time.

vpython_projectsVPython
Alright kids, gather around, and let me tell you a tale of POVRay...yes, I just dated myself horribly, but then, i'm constantly getting told that I'm too old for...certain people anyway, so i guess it is what it is. But really, that's about what we have here, even to the point where VPython lets you export to POVRay renderable files. How cool is that? Also includes its own version of IDLE, but I'm going to have to frown on that...

kivy_projectskivy
From what I understand, this is the way to go for Python MT development. I found a few other options (PyMT, etc), but this seems to be the one everyone recommends. If you're an experienced pythonista or have an established development environment, you can skip some of the weird setup requirements and dive right in. Get started now and whip some cool stuff up for their next contest!

tuio_projectspyTUIO
No discussion of MT development would be complete without including some TUIO bindings, so here you go! There are a few dependencies you might want to be aware of too (most notably reacTIVision), but once you've get everything down, this is another great way to get up and running with minimal hardware investment and setup. Make your own Reactable, actually, i've just hit on a plan...



Art IDEs
        Sure you could sit in a coffee shop and write a book, but let's be honest, if any chick looks over your shoulder and sees you rockin some cool interactive art in one of these apps, there's an icebreaker. Show her your camera or other input device, get her to play around with it a bit and it's all over except for the part where you embarrass yourself horribly trying to ask her out...Probably better to just get a bunch of buddies together and rock some interactive art jams on your laptops, takes me back to the days of laptop jamming with Live.  Or at least I think it would, i'll know more tomorrow, actually going to a group Processing session of sorts, should be fun. May even be the beginning of my social life...

nodebox_projectsNodebox 2
If you're a Maya or Houdini Tech Artist, or just an ICE freak, this one's for you.  I actually came across Nodebox a while back, but got a sad panda because it was MacOS only, altho I suppose it would have been a good use for my still not very used Macbook Pro. But yeah, this is basically Processing with a hypergraph attached to it, how cool is that? And Python to boot, so it's like Maya, but light and stable...ish.

shoebot_projectsShoebot
Shoebot is the best-ish of both worlds in that you can run it from its own IDE or you can import it into existing Python projects. It's also a...well, let's say derivative, for lack of a better term, of Nodebox, so most of the docs you find for one apply to the other. Not to down on the work of the Shoebot guys, it's a "derivative" like pyprocessing or pycessing are derivatives of Processing.



Additional Reading
        A few last little tidbits to keep your head in the MT game, skip this if you're not interested in this sort of thing.

txzone_header31Txzone
All sorts of really fun musings here, not much of a learning resource, but great for inspiration and keeping up with what all's out there for the MT pythonista...


pymt_projectsGetting Started With MT Dev In Python
Some dated and slightly specific tutorials, but definitely great for a quick dip of your toes into the whole world of Python MT/NUI development.


Part 1 | Part 2 | Part 3 | Part 4




        I've got some pretty cool interactive art projects in the pipe right now, no ETA on any of them yet, but hopefully I'll be able to post some stuff up in the near future.  Got some longer term "milestones", altho I'm not sure milestone is the proper term since they tend to equate to public releases or showings of some sort...Nothing like a little pressure.

Tuesday, March 20, 2012

prototyper's toolbox

        Nothing special here, just a bunch of tools I've been using recently to do rapid prototyping.  It's such an alien concept to me to just throw a bunch of hardware and software into a blender and see what comes out, but it's pretty freakin fun.

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Unity
Probably needs no explanation, really good platform for prototyping as it's open enough to do things that aren't necessarily games.

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openFrameworks
Everything you need to create rich interactive applications under one roof. This is the model for what easy-to-use SDKs should be.

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Processing
It's like an IDE for doing cool graphical stuffs. For you Pythonistas, check out pyprocessing as well.

vvvv
vvvv
Just found out about this the other day, node based madness.

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OpenNI
Definitive framework for natural interaction (gestures, etc). A bit of a learning curve, but good to know.

        So what are some of your favorite rapid prototyping tools?  And if you say UDK, i swear i WILL hunt you down and punch you in the heart...