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1 #+title: Simulated Sense of Sight
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2 #+author: Robert McIntyre
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3 #+email: rlm@mit.edu
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4 #+description: Simulated sight for AI research using JMonkeyEngine3 and clojure
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5 #+keywords: computer vision, jMonkeyEngine3, clojure
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6 #+SETUPFILE: ../../aurellem/org/setup.org
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7 #+INCLUDE: ../../aurellem/org/level-0.org
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8 #+babel: :mkdirp yes :noweb yes :exports both
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9
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10 * COMMENT Vision
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11
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12 I want to make creatures with eyes. Each eye can be independely moved
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13 and should see its own version of the world depending on where it is.
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14
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15 Here's how vision will work.
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16
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17 Make the continuation in scene-processor take FrameBuffer,
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18 byte-buffer, BufferedImage already sized to the correct
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19 dimensions. the continuation will decide wether to "mix" them
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20 into the BufferedImage, lazily ignore them, or mix them halfway
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21 and call c/graphics card routines.
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22
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23 (vision creature) will take an optional :skip argument which will
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24 inform the continuations in scene processor to skip the given
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25 number of cycles 0 means that no cycles will be skipped.
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26
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27 (vision creature) will return [init-functions sensor-functions].
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28 The init-functions are each single-arg functions that take the
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29 world and register the cameras and must each be called before the
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30 corresponding sensor-functions. Each init-function returns the
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31 viewport for that eye which can be manipulated, saved, etc. Each
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32 sensor-function is a thunk and will return data in the same
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33 format as the tactile-sensor functions the structure is
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34 [topology, sensor-data]. Internally, these sensor-functions
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35 maintain a reference to sensor-data which is periodically updated
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36 by the continuation function established by its init-function.
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37 They can be queried every cycle, but their information may not
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38 necessairly be different every cycle.
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39
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40 Each eye in the creature in blender will work the same way as
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41 joints -- a zero dimensional object with no geometry whose local
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42 coordinate system determines the orientation of the resulting
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43 eye. All eyes will have a parent named "eyes" just as all joints
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44 have a parent named "joints". The resulting camera will be a
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45 ChaseCamera or a CameraNode bound to the geo that is closest to
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46 the eye marker. The eye marker will contain the metadata for the
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47 eye, and will be moved by it's bound geometry. The dimensions of
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48 the eye's camera are equal to the dimensions of the eye's "UV"
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49 map.
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50
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51 #+name: eyes
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52 #+begin_src clojure
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53 (ns cortex.vision
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54 "Simulate the sense of vision in jMonkeyEngine3. Enables multiple
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55 eyes from different positions to observe the same world, and pass
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56 the observed data to any arbitray function. Automatically reads
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57 eye-nodes from specially prepared blender files and instanttiates
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58 them in the world as actual eyes."
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59 {:author "Robert McIntyre"}
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60 (:use (cortex world sense util))
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61 (:use clojure.contrib.def)
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62 (:import com.jme3.post.SceneProcessor)
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63 (:import (com.jme3.util BufferUtils Screenshots))
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64 (:import java.nio.ByteBuffer)
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65 (:import java.awt.image.BufferedImage)
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66 (:import (com.jme3.renderer ViewPort Camera))
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67 (:import com.jme3.math.ColorRGBA)
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68 (:import com.jme3.renderer.Renderer)
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69 (:import com.jme3.app.Application)
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70 (:import com.jme3.texture.FrameBuffer)
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71 (:import (com.jme3.scene Node Spatial)))
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72
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73 (defn vision-pipeline
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74 "Create a SceneProcessor object which wraps a vision processing
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75 continuation function. The continuation is a function that takes
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76 [#^Renderer r #^FrameBuffer fb #^ByteBuffer b #^BufferedImage bi],
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77 each of which has already been appropiately sized."
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78 [continuation]
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79 (let [byte-buffer (atom nil)
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80 renderer (atom nil)
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81 image (atom nil)]
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82 (proxy [SceneProcessor] []
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83 (initialize
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84 [renderManager viewPort]
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85 (let [cam (.getCamera viewPort)
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86 width (.getWidth cam)
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87 height (.getHeight cam)]
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88 (reset! renderer (.getRenderer renderManager))
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89 (reset! byte-buffer
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90 (BufferUtils/createByteBuffer
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91 (* width height 4)))
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92 (reset! image (BufferedImage.
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93 width height
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94 BufferedImage/TYPE_4BYTE_ABGR))))
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95 (isInitialized [] (not (nil? @byte-buffer)))
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96 (reshape [_ _ _])
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97 (preFrame [_])
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98 (postQueue [_])
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99 (postFrame
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100 [#^FrameBuffer fb]
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101 (.clear @byte-buffer)
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102 (continuation @renderer fb @byte-buffer @image))
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103 (cleanup []))))
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104
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105 (defn frameBuffer->byteBuffer!
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106 "Transfer the data in the graphics card (Renderer, FrameBuffer) to
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107 the CPU (ByteBuffer)."
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108 [#^Renderer r #^FrameBuffer fb #^ByteBuffer bb]
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109 (.readFrameBuffer r fb bb) bb)
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110
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111 (defn byteBuffer->bufferedImage!
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112 "Convert the C-style BGRA image data in the ByteBuffer bb to the AWT
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113 style ABGR image data and place it in BufferedImage bi."
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114 [#^ByteBuffer bb #^BufferedImage bi]
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115 (Screenshots/convertScreenShot bb bi) bi)
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116
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117 (defn BufferedImage!
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118 "Continuation which will grab the buffered image from the materials
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119 provided by (vision-pipeline)."
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120 [#^Renderer r #^FrameBuffer fb #^ByteBuffer bb #^BufferedImage bi]
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121 (byteBuffer->bufferedImage!
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122 (frameBuffer->byteBuffer! r fb bb) bi))
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123
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124 (defn add-camera!
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125 "Add a camera to the world, calling continuation on every frame
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126 produced."
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127 [#^Application world camera continuation]
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128 (let [width (.getWidth camera)
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129 height (.getHeight camera)
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130 render-manager (.getRenderManager world)
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131 viewport (.createMainView render-manager "eye-view" camera)]
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132 (doto viewport
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133 (.setClearFlags true true true)
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134 (.setBackgroundColor ColorRGBA/Black)
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135 (.addProcessor (vision-pipeline continuation))
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136 (.attachScene (.getRootNode world)))))
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137
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138 (defn retina-sensor-profile
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139 "Return a map of pixel selection functions to BufferedImages
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140 describing the distribution of light-sensitive components of this
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141 eye. Each function creates an integer from the rgb values found in
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142 the pixel. :red, :green, :blue, :gray are already defined as
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143 extracting the red, green, blue, and average components
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144 respectively."
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145 [#^Spatial eye]
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146 (if-let [eye-map (meta-data eye "eye")]
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147 (map-vals
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148 load-image
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149 (eval (read-string eye-map)))))
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150
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151 (defn eye-dimensions
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152 "Returns [width, height] specified in the metadata of the eye"
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153 [#^Spatial eye]
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154 (let [dimensions
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155 (map #(vector (.getWidth %) (.getHeight %))
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156 (vals (retina-sensor-profile eye)))]
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157 [(apply max (map first dimensions))
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158 (apply max (map second dimensions))]))
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159
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160 (defvar
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161 ^{:arglists '([creature])}
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162 eyes
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163 (sense-nodes "eyes")
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164 "Return the children of the creature's \"eyes\" node.")
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165
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166 (defn add-eye!
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167 "Create a Camera centered on the current position of 'eye which
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168 follows the closest physical node in 'creature and sends visual
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169 data to 'continuation."
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170 [#^Node creature #^Spatial eye]
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171 (let [target (closest-node creature eye)
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172 [cam-width cam-height] (eye-dimensions eye)
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173 cam (Camera. cam-width cam-height)]
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174 (.setLocation cam (.getWorldTranslation eye))
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175 (.setRotation cam (.getWorldRotation eye))
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176 (.setFrustumPerspective
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177 cam 45 (/ (.getWidth cam) (.getHeight cam))
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178 1 1000)
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179 (bind-sense target cam)
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180 cam))
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181
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182 (defvar color-channel-presets
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183 {:all 0xFFFFFF
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184 :red 0xFF0000
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185 :blue 0x0000FF
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186 :green 0x00FF00}
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187 "Bitmasks for common RGB color channels")
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188
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189 (defn vision-fn
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190 "Returns a list of functions, each of which will return a color
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191 channel's worth of visual information when called inside a running
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192 simulation."
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193 [#^Node creature #^Spatial eye & {skip :skip :or {skip 0}}]
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194 (let [retinal-map (retina-sensor-profile eye)
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195 camera (add-eye! creature eye)
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196 vision-image
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197 (atom
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198 (BufferedImage. (.getWidth camera)
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199 (.getHeight camera)
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200 BufferedImage/TYPE_BYTE_BINARY))
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201 register-eye!
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202 (runonce
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203 (fn [world]
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204 (add-camera!
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205 world camera
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206 (let [counter (atom 0)]
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207 (fn [r fb bb bi]
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208 (if (zero? (rem (swap! counter inc) (inc skip)))
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209 (reset! vision-image
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210 (BufferedImage! r fb bb bi))))))))]
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211 (vec
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212 (map
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213 (fn [[key image]]
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214 (let [whites (white-coordinates image)
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215 topology (vec (collapse whites))
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216 mask (color-channel-presets key)]
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217 (fn [world]
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218 (register-eye! world)
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219 (vector
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220 topology
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221 (vec
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222 (for [[x y] whites]
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223 (bit-and
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224 mask (.getRGB @vision-image x y))))))))
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225 retinal-map))))
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226
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227
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228 ;; TODO maybe should add a viewport-manipulation function to
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229 ;; automatically change viewport settings, attach shadow filters, etc.
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230
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231 (defn vision!
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232 "Returns a function which returns visual sensory data when called
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233 inside a running simulation"
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234 [#^Node creature & {skip :skip :or {skip 0}}]
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235 (reduce
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236 concat
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237 (for [eye (eyes creature)]
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238 (vision-fn creature eye))))
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239
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240 (defvar
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241 view-vision
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242 (view-sense
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243 (fn
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244 [[coords sensor-data]]
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rlm@188
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245 (let [image (points->image coords)]
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246 (dorun
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247 (for [i (range (count coords))]
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248 (.setRGB image ((coords i) 0) ((coords i) 1)
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249 (sensor-data i))))
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250 image)))
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251 "Creates a function which accepts visual sensor-data and displays it
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252 to the screen.")
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253
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254 #+end_src
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255
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256
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257 Note the use of continuation passing style for connecting the eye to a
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258 function to process the output. You can create any number of eyes, and
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259 each of them will see the world from their own =Camera=. Once every
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260 frame, the rendered image is copied to a =BufferedImage=, and that
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261 data is sent off to the continuation function. Moving the =Camera=
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262 which was used to create the eye will change what the eye sees.
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263
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264 * Example
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265
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266 #+name: test-vision
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267 #+begin_src clojure
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rlm@68
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268 (ns cortex.test.vision
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269 (:use (cortex world util vision))
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rlm@34
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270 (:import java.awt.image.BufferedImage)
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271 (:import javax.swing.JPanel)
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272 (:import javax.swing.SwingUtilities)
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273 (:import java.awt.Dimension)
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274 (:import javax.swing.JFrame)
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275 (:import com.jme3.math.ColorRGBA)
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276 (:import com.jme3.scene.Node)
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277 (:import com.jme3.math.Vector3f))
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278
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279 (defn test-two-eyes
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280 "Testing vision:
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281 Tests the vision system by creating two views of the same rotating
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282 object from different angles and displaying both of those views in
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283 JFrames.
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284
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285 You should see a rotating cube, and two windows,
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286 each displaying a different view of the cube."
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287 []
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rlm@58
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288 (let [candy
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289 (box 1 1 1 :physical? false :color ColorRGBA/Blue)]
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290 (world
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291 (doto (Node.)
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292 (.attachChild candy))
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293 {}
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rlm@112
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294 (fn [world]
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rlm@112
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295 (let [cam (.clone (.getCamera world))
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296 width (.getWidth cam)
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297 height (.getHeight cam)]
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rlm@169
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298 (add-camera! world cam
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299 ;;no-op
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300 (comp (view-image) BufferedImage!)
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301 )
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rlm@169
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302 (add-camera! world
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303 (doto (.clone cam)
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304 (.setLocation (Vector3f. -10 0 0))
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305 (.lookAt Vector3f/ZERO Vector3f/UNIT_Y))
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rlm@113
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306 ;;no-op
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307 (comp (view-image) BufferedImage!))
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rlm@112
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308 ;; This is here to restore the main view
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rlm@112
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309 ;; after the other views have completed processing
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310 (add-camera! world (.getCamera world) no-op)))
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rlm@112
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311 (fn [world tpf]
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rlm@112
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312 (.rotate candy (* tpf 0.2) 0 0)))))
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rlm@23
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313 #+end_src
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rlm@23
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314
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rlm@112
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315 #+results: test-vision
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316 : #'cortex.test.vision/test-two-eyes
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317
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rlm@34
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318 The example code will create two videos of the same rotating object
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rlm@34
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319 from different angles. It can be used both for stereoscopic vision
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rlm@34
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320 simulation or for simulating multiple creatures, each with their own
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rlm@34
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321 sense of vision.
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rlm@24
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322
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rlm@35
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323 - As a neat bonus, this idea behind simulated vision also enables one
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rlm@35
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324 to [[../../cortex/html/capture-video.html][capture live video feeds from jMonkeyEngine]].
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rlm@35
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325
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rlm@24
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326
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rlm@24
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327 * COMMENT code generation
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rlm@34
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328 #+begin_src clojure :tangle ../src/cortex/vision.clj
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rlm@24
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329 <<eyes>>
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rlm@24
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330 #+end_src
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rlm@24
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331
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rlm@68
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332 #+begin_src clojure :tangle ../src/cortex/test/vision.clj
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rlm@24
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333 <<test-vision>>
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rlm@24
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334 #+end_src
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