src/Visualise.jl

Wed, 02 Dec 2020 12:54:43 -0500

author
Tuomo Valkonen <tuomov@iki.fi>
date
Wed, 02 Dec 2020 12:54:43 -0500
changeset 60
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parent 34
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child 62
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permissions
-rw-r--r--

windowsize parameter

9
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1 ##################################################
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2 # Visualising and data-collecting iteration tools
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3 ##################################################
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4
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5 module Visualise
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6
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7 using Printf
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8 using FileIO
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9 using Setfield
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bda471ea9d67 Do not depend on Images, just ColorTypes
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10 using ColorTypes: Gray
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11 #using Plots
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12 #using Measures
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13 import GR
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14
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15 using AlgTools.Util
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16 using AlgTools.StructTools
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17 using AlgTools.LinkedLists
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18 using AlgTools.Comms
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19
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20 ##############
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21 # Our exports
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22 ##############
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23
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24 export LogEntry,
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25 bg_visualise,
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26 visualise,
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27 clip,
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28 grayimg,
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29 secs_ns,
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30 iterate_visualise,
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31 initialise_visualisation,
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32 finalise_visualisation
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33
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34 ##################
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35 # Data structures
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36 ##################
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37
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38 struct LogEntry <: IterableStruct
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39 iter :: Int
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40 time :: Float64
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41 function_value :: Float64
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42 end
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43
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44 struct State
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45 vis :: Union{Channel,Bool,Nothing}
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46 visproc :: Union{Nothing,Task}
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47 start_time :: Union{Real,Nothing}
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48 wasted_time :: Real
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49 log :: LinkedList{LogEntry}
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50 end
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51
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52 ##################
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53 # Helper routines
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54 ##################
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55
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56 @inline function secs_ns()
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57 return convert(Float64, time_ns())*1e-9
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58 end
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59
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60 clip = x -> min(max(x, 0.0), 1.0)
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61 grayimg = im -> Gray.(clip.(im))
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62
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63 ################
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64 # Visualisation
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65 ################
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66
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67 function bg_visualise(rc)
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68 process_channel(do_visualise, rc)
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69 end
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70
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71 # function do_visualise(imgs)
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72 # plt = im -> plot(grayimg(im), showaxis=false, grid=false, aspect_ratio=:equal, margin=2mm)
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73 # display(plot([plt(imgs[i]) for i =1:length(imgs)]..., reuse=true, margin=0mm))
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74 # end
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75
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76 grayGR = x -> begin
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77 y = round(UInt32, 0xff*clip(x))
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78 return 0x010101*y + 0xff000000
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79 end
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80
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81 function fill_viewport(vp, c)
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82 GR.savestate()
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83 GR.selntran(0)
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84 GR.setscale(0)
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85 GR.setfillintstyle(GR.INTSTYLE_SOLID)
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86 GR.setfillcolorind(c)
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87 GR.fillrect(vp...)
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88 GR.selntran(1)
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89 GR.restorestate()
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90 end
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91
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92 function do_visualise(imgs; refresh=true, fullscreen=false, windowsize=nothing)
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93 n = length(imgs)
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94 # Get device dimensions in metres and pixels
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95 scrw, scrh, pw, ph = GR.inqdspsize()
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96 imgaspect = n > 0 ? float(size(imgs[1], 1))/float(size(imgs[1], 2)) : 1
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97 # Scaling to maximum size window
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98 sc=0.7
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99 # Set up window and transformations
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100 GR.clearws()
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101 GR.setscale(0);
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102 GR.selntran(1)
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103 # - First OS window size
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104 if !isnothing(windowsize)
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105 w, h = float.(windowsize)
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106 elseif fullscreen
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107 w, h = float(scrw), float(scrh)
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108 elseif scrw/n>scrh
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109 w, h = float(sc*scrh*n), float(sc*scrh*imgaspect)
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110 else
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111 w, h = float(sc*scrw), float(sc*scrw/n*imgaspect)
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112 end
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113 GR.setwsviewport(0, w, 0, h)
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114 # NDC to device
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115 if w>h
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116 canvas=[0, 1, 0, h/w]
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117 else
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118 canvas=[0, w/h, 0, 1]
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119 end
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120 GR.setwswindow(canvas...)
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121 fill_viewport(canvas, 1)
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122 # World coordinates to NDC
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123 if imgaspect/n<h/w
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124 y0 = (canvas[3]+canvas[4])/2
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125 ww = (canvas[2]-canvas[1])/2
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126 y1 = y0-ww*(imgaspect/n)
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127 y2 = y0+ww*(imgaspect/n)
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128 GR.setviewport(canvas[1], canvas[2], y1, y2)
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129 else
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130 x0 = (canvas[1]+canvas[2])/2
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131 hh = (canvas[4]-canvas[3])/2
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132 x1 = x0-hh*(n/imgaspect)
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133 x2 = x0+hh*(n/imgaspect)
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134 GR.setviewport(x1, x2, canvas[3], canvas[4])
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135 end
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136 GR.setwindow(0, n, 0, 1)
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137 # Clear background
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138 # Plot images
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139 for i=1:n
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140 im = imgs[i]'
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141 sz = size(im)
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142 GR.drawimage(i-1, i, 0, 1, sz[1], sz[2], grayGR.(im))
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143 end
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144 if refresh
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145 GR.updatews()
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146 end
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147 end
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148
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149 function visualise(channel_or_toggle, imgs)
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150 if isa(channel_or_toggle, Channel)
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151 put_onlylatest!(channel_or_toggle, imgs)
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152 elseif isa(channel_or_toggle, Bool) && channel_or_toggle
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153 do_visualise(imgs)
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154 end
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155 end
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156
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157 ######################################################
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158 # Iterator that does visualisation and log collection
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159 ######################################################
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160
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161 function iterate_visualise(st :: State,
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162 step :: Function,
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163 params :: NamedTuple) where DisplacementT
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164 try
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165 for iter=1:params.maxiter
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166 st = step() do calc_objective
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167 if isnothing(st.start_time)
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168 # The Julia precompiler is a miserable joke, apparently not crossing module
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169 # boundaries, so only start timing after the first iteration.
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170 st = @set st.start_time=secs_ns()
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171 end
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172
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173 verb = params.verbose_iter!=0 && mod(iter, params.verbose_iter) == 0
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174
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175 if verb || iter ≤ 20 || (iter ≤ 200 && mod(iter, 10) == 0)
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176 verb_start = secs_ns()
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177 tm = verb_start - st.start_time - st.wasted_time
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178 value, x = calc_objective()
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179
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180 entry = LogEntry(iter, tm, value)
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181
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182 # (**) Collect a singly-linked list of log to avoid array resizing
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183 # while iterating
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184 st = @set st.log=LinkedListEntry(entry, st.log)
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185
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186 if verb
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187 @printf("%d/%d J=%f\n", iter, params.maxiter, value)
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188 visualise(st.vis, (x,))
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189 end
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190
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191 if params.save_iterations
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192 fn = t -> "$(params.save_prefix)_$(t)_iter$(iter).png"
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193 save(File(format"PNG", fn("reco")), grayimg(x))
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194 end
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195
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196 st = @set st.wasted_time += (secs_ns() - verb_start)
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197 end
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198
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199 return st
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200 end
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201 end
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202 catch ex
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203 if isa(ex, InterruptException)
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204 # If SIGINT is received (user pressed ^C), terminate computations,
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205 # returning current status. Effectively, we do not call `step()` again,
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206 # ending the iterations, but letting the algorithm finish up.
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207 # Assuming (**) above occurs atomically, `st.log` should be valid, but
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208 # any results returned by the algorithm itself may be partial, as for
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209 # reasons of efficiency we do *not* store results of an iteration until
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210 # the next iteration is finished.
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211 printstyled("\rUser interrupt—finishing up.\n", bold=true, color=202)
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212 else
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213 throw(ex)
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214 end
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215 end
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216
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217 return st
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218 end
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219
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220 ####################
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221 # Launcher routines
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222 ####################
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223
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224 function initialise_visualisation(visualise; iterator=iterate_visualise)
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225 # Create visualisation
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226 if visualise
26
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227 rc = Channel(1)
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228 visproc = Threads.@spawn bg_visualise(rc)
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51bb83c404a4 bind, close
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229 bind(rc, visproc)
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230 vis = rc
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231 else
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232 vis = false
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233 visproc = nothing
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234 end
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235
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236 st = State(vis, visproc, nothing, 0.0, nothing)
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237 iterate = curry(iterate_visualise, st)
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238
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239 return st, iterate
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240 end
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241
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242 function finalise_visualisation(st)
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243 if isa(st.vis, Channel)
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244 # Tell subprocess to finish, and wait
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245 put!(st.vis, nothing)
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246 close(st.vis)
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247 wait(st.visproc)
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248 end
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249 end
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250
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251 end # Module

mercurial