CPU and GPU-based implementation for integral images (summed area tables)
val image = colorBuffer( ... )
image.shadow.download()
val integralImage = IntegralImage.fromColorBufferShadow(image.shadow)
// -- the sum for a given area can be queried using
val sum = integralImage.sum(IntRectangle(20, 20, 100, 100))
Since v0.0.20 orx-integral-image comes with FastIntegralImage
which calculates integral images fully on the GPU.
import org.openrndr.application
import org.openrndr.color.ColorRGBa
import org.openrndr.draw.*
import org.openrndr.extra.integralimage.*
fun main(args: Array<String>) = application {
configure {
width = 1024
height = 1024
}
program {
val fii = FastIntegralImage()
val target = colorBuffer(1024, 512, 1.0, ColorFormat.RGBa, ColorType.FLOAT32)
val rt = renderTarget(1024, 512) {
colorBuffer()
}
extend {
drawer.background(ColorRGBa.PINK)
drawer.isolatedWithTarget(rt) {
drawer.ortho(rt)
drawer.background(ColorRGBa.BLACK)
drawer.fill = ColorRGBa.PINK.shade(1.0)
drawer.circle(mouse.position, 128.0)
}
fii.apply(rt.colorBuffer(0),target)
// -- here we sample from the integral image
drawer.shadeStyle = shadeStyle {
fragmentTransform = """
float w = 128.0;
vec2 step = 1.0 / textureSize(image, 0);
vec4 t11 = texture(image, va_texCoord0 + step * vec2(w,w));
vec4 t01 = texture(image, va_texCoord0 + step * vec2(-w,w));
vec4 t00 = texture(image, va_texCoord0 + step * vec2(-w,-w));
vec4 t10 = texture(image, va_texCoord0 + step * vec2(w,-w));
x_fill = (t11 - t01 - t10 + t00) / (w*w);
""".trimIndent()
}
drawer.image(target)
}
}
}