Experiments with ruby-processing (processing-2.2.1) and JRubyArt for processing-3.0

Showing posts with label sunflow raytracing. Show all posts
Showing posts with label sunflow raytracing. Show all posts

Thursday, 14 October 2010

Creating simple animations using the SunflowAPIAPI library and jruby

Here I explore the animation possibilities of the SunflowAPIAPI library (nothing on the scale of the one by amnon.owed).
It is very simple to use ruby syntax to create different views of a scene by changing the camera position, and use sunflow to render each image. Rather than modify each frame, I had the idea of using 20 incremental views, and crudely converting them to 200 frames by copying each view 10 times. I then used mencoder to stitch the frames together to produce a short movie. Here is the result:-

Changing the camera Sunflow Hair from monkstone on Vimeo.




# hair.rb NB: run this script directly with jruby

require 'library/sunflow_api/library/sunflow_api.jar'
require 'library/sunflow/library/sunflow.jar'
require 'library/sunflow/library/janino.jar'
require 'library/sunflow/library/commons-compiler.jar'

class BasicHair 

  API = Java::Com::briansteen::SunflowAPIAPI
  SMath = Java::Org::sunflow::math
  JColor = java.awt.Color  
  
  attr_reader :width, :height, :n_particles, :sunflow
        
  def initialize width = 640, height = 480, cam_x = 0
    @width = width
    @height = height
    @n_particles = 20
    # create a new API instance
    @sunflow = API.new
    # set width and height
                
    @sunflow.set_width(width)
    @sunflow.set_height(height)
    # set background color
    @sunflow.set_background(1, 1, 1)
    # set camera
    @sunflow.set_camera_position(cam_x, 7, 5)
    @sunflow.set_camera_target(2, 0.5, 0)
    @sunflow.set_thinlens_camera("thinLensCamera", 50, width/height)
    # set basic light
    @sunflow.set_point_light("myPointLight", SMath::Point3.new(0, 5, 5),
    JColor.new(255, 255, 255))
    @sunflow.set_directional_light("myDirectionalLight", SMath::Point3.new(-2, 3, 0),
    SMath::Vector3.new(0, 0, 0), 3, JColor.new(1, 1, 1))
    # @sunflow.setSphereLight("mySphereLight", SMath::Point3.new(0, 30, -5),
    # JColor.new(0, 0, 255), 32, 10)
    # draw a ground plane
    @sunflow.draw_plane("ground", SMath::Point3.new(0, 0, 0), SMath::Vector3.new(0, 1, 0))              
    # coordinates array
                
    @sunflow.draw_box("boxname", 0, 0, 0, 1)
  end
  
  def create_scene
    hair_widths = [0.025]
    # create particle coordinates
    350.times do |j|
      # particle start position
      particle_x = Math.cos(j * 0.5) * j * 0.0015
      particle_y = 0
      particle_z = Math.sin(j * 0.5) * j * 0.0015 
      
      hair_coordinates = Array.new(n_particles * 3)
      
      array_index = -1
      
      n_particles.times do |i|
        particle_x += 0.1 + Math.cos(i * 0.15 + j * 0.05) * 0.13
        particle_y -= Math.sin(particle_z * 0.01 + j * 0.05) * 0.125 +
        Math.cos(i * 0.5 + particle_y) * 0.125
        particle_z += Math.sin(i) * 0.25 + particle_y * 0.01                            
        hair_coordinates[array_index += 1] = particle_x
        hair_coordinates[array_index += 1] = particle_y
        hair_coordinates[array_index += 1] = particle_z
      end
                        
      # set ambient occlusion shader
      @sunflow.setAmbientOcclusionShader("myAmbientOcclusionShader#{j}", JColor.new(55, 55, 55),
      JColor.new(0, 0, 0), 16, 1)
      # set glass shader
      # @sunflow.setGlassShader("myGlassShader", JColor.new(1, 1, 1), 2.5, 3, JColor.new(1, 1, 1))
      # set shiny-diffuse shader
      # @sunflow.setShinyDiffuseShader("myShinyShader", JColor.new(55, 55, 55), 0.8)
                        
      # draw object
      @sunflow.draw_hair("hair#{j}", n_particles - 2, hair_coordinates.to_java(:float),
        hair_widths.to_java(:float))
    end
  end
  
  def render_scene filename = nil
    sunflow.setIrradianceCacheGIEngine(32, 0.4, 1, 15, nil)            
    # render
    sunflow.render() unless filename
    if filename
      begin # test for dodgy filename/path
        file = File.new(filename, "w")
        file.close
        sunflow.render(filename) # save as png image
      rescue
        puts "Warning #{filename} is not writable"
      end
    end
  end
          
end

20.times do |i|
  hair = BasicHair.new 640, 480, i                   # preferred render size for vimeo
  hair.create_scene
  hair.render_scene "/home/tux/ruby_sunflow/frame-#{i}.png" # default is to render in sunflow frame ie not to file
end

Sunday, 3 October 2010

Performance tune-ups (or not) for jruby sunflow raytracing

When I realised that sunflow is multi-threaded I thought there may be some performance tune-ups possible.

These are the steps I tried:-
  1. I've updated my sunflow to use the latest janino compiler, only a small amount of re-factoring was required essentially deprecating two types of error and revising one because it has been re-factored to the commons-compiler.
  2. I'm using the --server option
  3. I'm using the --fast option
  4. I've increased the heap space -J-Xmx1024m
  5. I've enabled thread pooling -J-Djruby.thread.pooling=true

I'm not sure what effect if any updating the janino compiler has but to my mind it makes the application a bit more future-proof (there is the option to upgrade from java 1.4 syntax see janino web site). The windows 0.073 version of sunflow is claimed to be faster on the basis of a native compiler, I doubt it.

Using the server option is a good thing, regular java uses it by default, I'm not sure about jruby. Because --server is a proxy for -J-server, suggest to me that you may need this option since it has been made easier to use?

Using the --fast option ensures pre-compilation (amongst other speed-ups) which must be good thing here?

Allocating increased memory is the only thing the sunflow.sh script does. Running the sunflow.jar directly (java -jar sunflow.jar) requests > 800 mb heap space to run.

The thread pooling is used to prevent wasteful ruby green threads being spawned. Both cores on my dual core linux box were kept running flat out according to my conky readout.

Now the difference between none of these measures, and running with the speed-ups seemed to be noticeable, so I thought I would measure it?

Conclusion

Now I've done a bit of measurement I'm not so sure perhaps it was the janino compiler change after all?

The --server command certainly makes no difference for me, default is --server.

Well it turns out it is all in the imagination when I measured the different compilers with or without any "performance" options performance was much the same...

However I was very impressed with the new StructureSynth built in ray tracing facility, which has apparently been been built with efficiency in mind, the default setting is for 4 processors (2 real, 2 virtual). Apparently povray lags behind in that regard?

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I have developed JRubyArt and propane new versions of ruby-processing for JRuby-9.1.5.0 and processing-3.2.2