I don’t think I understand exactly what you want to acheive. The dates are all overlapping because their x coordinates are the same – I think the relevant line in your code is this one:
text(tempdate_DA, 0, 100);

so the x coordinate is always 0.

To have the dates align with the boxes, you need to use the boxes’ x coordinate to draw the text. From what I can see, those boxes have randomly generated positions at the moment?

I’ll be in the studio tomorrow morning so will work on it then with you… cheers,

Mitchell

got it recognising colours!

PImage segment1 = street.get(44,183,176,85); // “get” a new PImage from a rect within street, and pass that to getColours
float averageFill = getColours(segment1); // then get a new float value – next, use this to fill a rect, put it on screen

float getColours(PImage inputImage)
{
//loadPixels();
float totalcolour = 0; // these can be local variables – they get reset each time the function is called
float averagecolour = 0;
println(inputImage.width);

for(int x = 0; x < inputImage.width; x++) // use width & height, that way we can pass in an image of any size
{
for(int y = 0; y < inputImage.height; y++)
{
color c = inputImage.pixels[x + (inputImage.width*y)]; // flipped this around! y = rows
totalcolour = totalcolour + brightness(c); // just using brightness for now
}
}

averagecolour = totalcolour / (inputImage.width*inputImage.height);
//float newcolour = map((averagecolour), – 200000, 200000, 0, 255);
//println(newcolour);
return averagecolour; // just return the raw brightness value for now
}

Also I think you can just turn off all the blob stuff – this can run on the raw pixel data – the blob detection will just slow it down needlessly.

I have uploaded a zip file of the sketch to the basecamp website. Could you have a look at it. I have put a function in there ‘getColour’ which attemps to get an average colour for a region. Doesn’t seem to be working properly though. Perhaps if you could give us a script that gets an average colour for a region.

For average colour all you need to do is pull out the pixels you’re interested in, and do the maths…

I’d also like to see a simple slitscan that focuses on those two areas – as in my watching the street thing (nb latest images now up at http://www.flickr.com/photos/mtchl/tags/watchingthestreet/