Class: Panomosity::Runner

Inherits:
Object
  • Object
show all
Includes:
Utils, XLSXWriter
Defined in:
lib/panomosity/runner.rb

Constant Summary collapse

AVAILABLE_COMMANDS = 
%w[
  add_calibration_flag
  apply_calibration_values
  check_position_changes
  clean_control_points
  convert_equaled_image_parameters
  convert_horizontal_lines
  convert_translation_parameters
  create_calibration_report
  crop_centers
  diagnose
  export_control_point_csv
  export_panorama_attributes_to_csv
  fix_conversion_errors
  fix_unconnected_image_pairs
  generate_border_line_control_points
  get_columns_and_rows
  get_control_point_info
  get_neighborhood_info
  get_panorama_attributes
  import_control_point_csv
  merge_image_parameters
  nona_grid
  optimize
  prepare_for_pr0ntools
  remove_anchor_variables
  standardize_roll
]

Constants included from XLSXWriter

XLSXWriter::SEPERATE_CSV_COLUMNS

Instance Attribute Summary collapse

Instance Method Summary collapse

Methods included from XLSXWriter

#csv_to_xlsx

Methods included from Utils

#calculate_average, #calculate_average_and_std, #remove_outliers

Constructor Details

#initialize(options) ⇒ Runner

Returns a new instance of Runner.



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# File 'lib/panomosity/runner.rb', line 42

def initialize(options)
  @options = options
  @input = options[:input]
  @output = options[:output]
  @csv = options[:csv]
  @compare = options[:compare]
  @report = options[:report]
  @input_file = File.new(@input, 'r').read rescue puts('You must have at least one argument')
  @output_file = File.new(@output, 'w') if @output
  @csv_file = File.new(@csv, 'r').read if @csv
  @compare_file = File.new(@compare, 'r').read if @compare
  @report_file = File.new(@report, 'r').read if @report
  @logger = Panomosity.logger

  if options[:verbose] || options[:verbosity] > 0
    @logger.level = Logger::DEBUG
  else
    @logger.level = Logger::INFO
  end
end

Instance Attribute Details

#logger ⇒ Object (readonly)

Returns the value of attribute logger.



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# File 'lib/panomosity/runner.rb', line 11

def logger
  @logger
end

Instance Method Details

#add_calibration_flag ⇒ Object 



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# File 'lib/panomosity/runner.rb', line 71

def add_calibration_flag
  logger.info 'adding panomosity calibration flag'
  @lines = @input_file.each_line.map { |line| line } + ["#panomosity calibration true\n"]
  save_file
end

#apply_calibration_values ⇒ Object 



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# File 'lib/panomosity/runner.rb', line 77

def apply_calibration_values
  logger.info "applying calibration values from #{@report}"
  panorama = Panorama.new(@input_file, @options)
  optimizer = Optimizer.new(panorama)
  calibration_report = JSON.parse(@report_file)

  if calibration_report.fetch('position', nil)
    logger.info 'calibration_report.json included position, applying position values'
    optimizer.run_position_optimizer(xh_avg: calibration_report['position']['xh_avg'],
                                     yh_avg: calibration_report['position']['yh_avg'],
                                     xv_avg: calibration_report['position']['xv_avg'],
                                     yv_avg: calibration_report['position']['yv_avg'])
  end

  if calibration_report.fetch('roll', nil)
    logger.info 'calibration_report.json included roll, applying roll values'
    optimizer.run_roll_optimizer(apply_roll: calibration_report.fetch('roll'))
  end

  @lines = @input_file.each_line.map do |line|
    image = optimizer.images.find { |i| i.raw == line }
    if image
      image.to_s
    else
      next line
    end
  end.compact

  save_file
end

#check_position_changes ⇒ Object 



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# File 'lib/panomosity/runner.rb', line 108

def check_position_changes
  logger.info 'checking position changes'
  original_images = Image.parse(@input_file)
  changed_images = Image.parse(@compare_file)
  threshold = 0.10
  images = original_images.zip(changed_images)
  changes_x = images.select do |original, changed|
    ratio_x = original.d / changed.d
    changed_x = (1 - ratio_x.abs).abs
    changed_x > threshold
  end
  changes_y = images.select do |original, changed|
    ratio_y = original.e / changed.e
    changed_y = (1 - ratio_y.abs).abs
    changed_y > threshold
  end

  @lines = @input_file.each_line.map do |line|
    variable = OptimisationVariable.parse_line(line)
    next line unless variable
    if variable.d && changes_x.find { |original, _| original.id.to_s == variable.d }
      logger.debug "Removing #{variable.to_s}"
    elsif variable.e && changes_y.find { |original, _| original.id.to_s == variable.e }
      logger.debug "Removing #{variable.to_s}"
    else
      next line
    end
  end

  save_file
end

#clean_control_points ⇒ Object 



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# File 'lib/panomosity/runner.rb', line 140

def clean_control_points
  logger.info 'cleaning control points'
  # Since this is very exact, having many outliers in control points distances will cause errors
  panorama = Panorama.new(@input_file, @options)
  bad_control_points = panorama.clean_control_points

  logger.info "removing #{bad_control_points.count} control points"
  @lines = @input_file.each_line.map do |line|
    control_point = ControlPoint.parse_line(line)
    # skip this control point if we found it
    if control_point && bad_control_points.find { |bad_cp| bad_cp.raw == control_point.raw }
      next
    else
      next line
    end
  end.compact

  save_file
end

#convert_equaled_image_parameters ⇒ Object 



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# File 'lib/panomosity/runner.rb', line 160

def convert_equaled_image_parameters
  logger.info 'converting equaled image parameters'
  images = Image.parse(@input_file)
  @lines = @input_file.each_line.map do |line|
    image = images.find { |i| i.raw == line }
    if image
      if @options[:remove_equal_signs]
        image.to_s(without_equal_signs: true)
      else
        image.to_s
      end
    else
      next line
    end
  end.compact

  save_file
end

#convert_horizontal_lines ⇒ Object 



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# File 'lib/panomosity/runner.rb', line 179

def convert_horizontal_lines
  logger.info 'converting horizontal lines'
  @lines = @input_file.each_line.map do |line|
    cp = ControlPoint.parse_line(line)
    if cp && cp.vertical?
      cp.t = 2
      cp.to_s
    else
      next line
    end
  end.compact

  save_file
end

#convert_translation_parameters ⇒ Object 



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# File 'lib/panomosity/runner.rb', line 194

def convert_translation_parameters
  logger.info 'converting translation parameters'
  images = Image.parse(@input_file)

  @lines = @input_file.each_line.map do |line|
    image = images.find { |i| i.raw == line }
    next if line[0] == 'v'
    next line unless image
    image.convert_position!
    if image.id == images.sort_by(&:id).last.id
      image.to_s +
        "\n" +
        "# Variable lines\n" +
        images.map { |i| i.id == 0 ? nil : "v d#{i.id} e#{i.id}\n" }.compact.join +
        "v\n" +
        "\n"
    else
      image.to_s
    end

  end.compact

  save_file
end

#create_calibration_report ⇒ Object 



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# File 'lib/panomosity/runner.rb', line 219

def create_calibration_report
  logger.info "creating #{@options[:report_type]} calibration report"
  panorama = Panorama.new(@input_file, @options)
  panorama.create_calibration_report
end

#crop_centers ⇒ Object

Uses image magick to crop centers



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# File 'lib/panomosity/runner.rb', line 226

def crop_centers
  logger.info 'cropping centers'
  scale_factor = @csv_file.split(/\n/).first.split(',').last.to_f
  percent = (scale_factor*100).round
  logger.debug "cropping to #{percent}%"
  unless @options[:without_cropping]
    images = Image.parse(@input_file)

    crop_center_commands = images.map do |image|
      width_offset = (image.w.to_f * (1 - scale_factor) / 2).round
      height_offset = (image.h.to_f * (1 - scale_factor) / 2).round
      logger.debug "cropping #{image.name}"

      "convert #{image.name} -crop '#{percent}%x#{percent}%+#{width_offset}+#{height_offset}' #{image.name}"
    end

    crop_centers_command = crop_center_commands.join("\n")
    parallel_command = "cat <<'EOF' | parallel \n%s\nEOF"
    crop_centers_command = parallel_command % crop_centers_command
    `#{crop_centers_command}`
  end

  # Since all images have been cropped, we need to change d,e params to move images based on how much was cropped
  # Re-run commands that have been run at this point
  logger.info 'rerunning commands'
  @new_input = 'project_converted_translation_cropped.pto'
  `match-n-shift --input #{@csv} -o project_cropped.pto`
  `pto_var --opt=TrX,TrY project_cropped.pto -o project_pto_var_cropped.pto`
  runner = Runner.new(@options.merge(input: 'project_pto_var_cropped.pto', output: @new_input))
  runner.run('convert_translation_parameters')
  `pano_modify -p 0 --fov=AUTO -o #{@new_input} #{@new_input}`

  logger.info "Read new #{@new_input}"
  # Read new input pto file
  @input_file = File.new(@new_input, 'r').read
  images = Image.parse(@input_file)
  ds = images.map(&:d).uniq.sort
  es = images.map(&:e).uniq.sort

  d_diffs = []
  ds.each_with_index do |_, i|
    next if i == 0
    d_diffs.push((ds[i] - ds[i-1]).abs * (1-scale_factor))
  end

  e_diffs = []
  es.each_with_index do |_, i|
    next if i == 0
    e_diffs.push((es[i] - es[i-1]).abs * (1-scale_factor))
  end

  d_map = Hash[ds.map.with_index { |d, i| i == 0 ? [d, d] : [d, d - d_diffs[0..(i-1)].reduce(:+)] }]
  e_map = Hash[es.map.with_index { |e, i|  i == 0 ? [e, e] : [e, e - e_diffs[0..(i-1)].reduce(:+)] }]

  d_min, d_max = d_map.values.minmax
  e_min, e_max = e_map.values.minmax
  d_offset = ((d_max - d_min) / 2.0) + d_min
  e_offset = ((e_max - e_min) / 2.0) + e_min

  logger.info 'saving new d,e values'
  @lines = @input_file.each_line.map do |line|
    image = images.find { |i| i.raw == line }
    if image
      image.d = (d_map[image.d] - d_offset).round(8).to_s
      image.e = (e_map[image.e] - e_offset).round(8).to_s
      image.to_s
    else
      next line
    end
  end.compact

  save_file
end

#diagnose ⇒ Object 



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# File 'lib/panomosity/runner.rb', line 300

def diagnose
  logger.info 'diagnosing errors'
  panorama = Panorama.new(@input_file, @options)
  panorama.diagnose
end

#export_control_point_csv ⇒ Object 



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# File 'lib/panomosity/runner.rb', line 306

def export_control_point_csv
  logger.info 'exporting control point csv'
  panorama = Panorama.new(@input_file, @options)
  panorama.calculate_neighborhoods

  filename = 'control_points.csv'
  headers = %w[image_1_name image_2_name image_1_id image_2_id type width height d1 e1 d2 e2 x1 y1 x2 y2 rx ry r]
  CSV.open(filename, 'w+') do |csv|
    csv << headers
    panorama.control_points.each do |cp|
      pair = Pair.all.find { |p| p.control_points.include?(cp) }
      csv << [cp.i1.name, cp.i2.name, cp.i1.id, cp.i2.id, pair.type, cp.i1.w, cp.i1.h, cp.i1.d, cp.i1.e,
              cp.i2.d, cp.i2.e, cp.x1, cp.y1, cp.x2, cp.y2, cp.px, cp.py, cp.pdist]
    end
  end

  logger.info 'Done. Check for control_points.csv'
end

#export_panorama_attributes_to_csv ⇒ Object 



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# File 'lib/panomosity/runner.rb', line 503

def export_panorama_attributes_to_csv
  panorama = Panorama.new(@input_file, @options)
  panorama.calculate_neighborhoods

  logger.info "Making #{Dir.pwd}/#{@input}_attributes Directory"

  dir = "#{Dir.pwd}/#{@input}_attributes"
  Dir.mkdir(dir) unless File.exists?(dir)

  logger.info "Done. Moving into #{dir} Directory"

  Dir.chdir "#{@input}_attributes"

  logger.info "Making control_points.csv"

  filename = 'control_points.csv'
  headers = %w[image_1_name image_2_name image_1_id image_2_id type width height d1 e1 d2 e2 x1 y1 x2 y2 rx ry r]
  CSV.open(filename, 'w+') do |csv|
    csv << headers
    panorama.control_points.each do |cp|
      pair = Pair.all.find { |p| p.control_points.include?(cp) }
      csv << [cp.i1.name, cp.i2.name, cp.i1.id, cp.i2.id, pair.type, cp.i1.w, cp.i1.h, cp.i1.d, cp.i1.e,
              cp.i2.d, cp.i2.e, cp.x1, cp.y1, cp.x2, cp.y2, cp.px, cp.py, cp.pdist]
    end
  end

  logger.info "Done. Check for #{filename}"

  attributes = panorama.attributes

  logger.info "Making cp_pairs.csv"

  filename = 'cp_pairs.csv'
  headers = attributes[:pairs].first.keys
  CSV.open(filename,"w") do |csv|
    csv << headers
    attributes[:pairs].each do |pair|
      csv << pair.values
    end
  end

  logger.info "Done. Check for #{filename}"

  logger.info "Making neighborhood_pairs.csv"

  filename = 'neighborhood_pairs.csv'
  headers = ['data_type', attributes[:similar_neighborhoods].first.keys].flatten
  CSV.open(filename,'w') do |csv|
    csv << headers
    attributes[:similar_neighborhoods].each do |neighborhood|
      csv << ['similar_neighborhoods', neighborhood.values].flatten(1)
    end
    attributes[:neighborhoods_by_similar_neighborhood].each do |neighborhood|
      csv << ['neighborhoods_by_similar_neighborhood', neighborhood.values].flatten(1)
    end
  end

  logger.info "Done. Check for #{filename}"

  csv_to_xlsx(['control_points.csv', 'cp_pairs.csv', 'neighborhood_pairs.csv'], 'attributes')

  Dir.chdir '..'
end

#fix_conversion_errors ⇒ Object 



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# File 'lib/panomosity/runner.rb', line 325

def fix_conversion_errors
  logger.info 'fixing conversion errors'
  @lines = @input_file.each_line.map do |line|
    cp = ControlPoint.parse_line(line)
    if cp && cp.horizontal?
      cp.to_s
    else
      next line
    end
  end.compact

  save_file
end

#fix_unconnected_image_pairs ⇒ Object 



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# File 'lib/panomosity/runner.rb', line 339

def fix_unconnected_image_pairs
  logger.info 'fixing unconnected image pairs'
  panorama = Panorama.new(@input_file, @options)
  @lines = panorama.fix_unconnected_image_pairs
  save_file
end

#generate_border_line_control_points ⇒ Object 



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# File 'lib/panomosity/runner.rb', line 346

def generate_border_line_control_points
  logger.info 'generating border line control points'
  images = Image.parse(@input_file)
  line_control_points = ControlPoint.parse(@input_file, cp_type: :line)

  # Set vertical and horizontal control points for each image
  images.each do |image|
    vertical_control_points = line_control_points.select { |cp| cp[:n] == image[:id] && cp[:N] == image[:id] && cp[:t] == 1 }
    horizontal_control_points = line_control_points.select { |cp| cp[:n] == image[:id] && cp[:N] == image[:id] && cp[:t] == 2 }
    image[:vertical_control_points] = vertical_control_points
    image[:horizontal_control_points] = horizontal_control_points
  end

  # Iterate through the edges to create vertical control points across overlapping images
  logger.info 'finding common vertical control points'
  vertical_edges, horizontal_edges = images.map { |image| image[:d] }.minmax, images.map { |image| image[:e] }.minmax
  vertical_control_points = []
  vertical_edges.each do |edge|
    edge_images = images.select { |image| image[:d] == edge }.sort_by { |image| image[:e] }
    edge_images.each_with_index do |image, index|
      next if index == edge_images.length - 1
      next_image = edge_images[index+1]

      control_points = image[:vertical_control_points].map do |control_point|
        average_x = (control_point[:x] + control_point[:X]) / 2.0
        next_found_control_point = next_image[:vertical_control_points].find do |next_control_point|
          next_average_x = (next_control_point[:x] + next_control_point[:X]) / 2.0
          next_average_x.between?(average_x * 0.98, average_x * 1.02)
        end
        [control_point, next_found_control_point] if next_found_control_point
      end.compact

      # Special logic for anchor image
      if image[:id] == 0
        control_points = next_image[:vertical_control_points].map do |next_control_point|
          next_average_x = (next_control_point[:x] + next_control_point[:X]) / 2.0
          [{n: 0, x: next_average_x, y: (image[:h]/2.0).round }, next_control_point]
        end
      elsif next_image[:id] == 0
        control_points = image[:vertical_control_points].map do |next_control_point|
          next_average_x = (next_control_point[:x] + next_control_point[:X]) / 2.0
          [{n: 0, x: next_average_x, y: (image[:h]/2.0).round }, next_control_point]
        end
      end

      control_points.each do |current_control_point, next_control_point|
        vertical_control_points << ControlPoint.new({
                                                      n: current_control_point[:n],
                                                      N: next_control_point[:n],
                                                      x: current_control_point[:x],
                                                      y: current_control_point[:y],
                                                      X: next_control_point[:X],
                                                      Y: next_control_point[:Y],
                                                      t: 1
                                                    })
      end
    end
  end

  # Iterate through the edges to create horizontal control points across overlapping images
  logger.info 'finding common horizontal control points'
  horizontal_control_points = []
  horizontal_edges.each do |edge|
    edge_images = images.select { |image| image[:e] == edge }.sort_by { |image| image[:d] }
    edge_images.each_with_index do |image, index|
      next if index == edge_images.length - 1
      next_image = edge_images[index+1]

      control_points = image[:horizontal_control_points].map do |control_point|
        average_y = (control_point[:y] + control_point[:Y]) / 2.0
        next_found_control_point = next_image[:horizontal_control_points].find do |next_control_point|
          next_average_y = (next_control_point[:y] + next_control_point[:Y]) / 2.0
          next_average_y.between?(average_y * 0.98, average_y * 1.02)
        end
        [control_point, next_found_control_point] if next_found_control_point
      end.compact

      # Special logic for anchor image
      if image[:id] == 0
        control_points = next_image[:horizontal_control_points].map do |next_control_point|
          next_average_y = (next_control_point[:y] + next_control_point[:Y]) / 2.0
          [{n: 0, x: (image[:w]/2.0).round, y: next_average_y }, next_control_point]
        end
      end

      control_points.each do |current_control_point, next_control_point|
        horizontal_control_points << ControlPoint.new({
                                                        n: current_control_point[:n],
                                                        N: next_control_point[:n],
                                                        x: current_control_point[:x],
                                                        y: current_control_point[:y],
                                                        X: next_control_point[:X],
                                                        Y: next_control_point[:Y],
                                                        t: 2
                                                      })
      end
    end
  end

  logger.info "writing #{vertical_control_points.count} vertical control points"
  logger.info "writing #{horizontal_control_points.count} horizontal control points"
  control_point_lines_started = false
  @lines = @input_file.each_line.map do |line|
    cp = ControlPoint.parse_line(line)
    if cp.nil?
      # Control point lines ended
      if control_point_lines_started
        control_point_lines_started = false
        (vertical_control_points + horizontal_control_points).map do |control_point|
          logger.debug "image #{control_point[:n]} <> #{control_point[:N]} #{control_point[:t] == 1 ? 'vertical' : 'horizontal'} control point"
          control_point.to_s
        end + [line]
      else
        next line
      end
    else
      control_point_lines_started = true
      next line
    end
  end.compact.flatten

  save_file
end

#get_columns_and_rows ⇒ Object 



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# File 'lib/panomosity/runner.rb', line 470

def get_columns_and_rows
  images = Image.parse(@input_file)
  columns = images.map(&:column).sort.last
  rows = images.map(&:row).sort.last
  puts "#{columns},#{rows}"
end

#get_control_point_info ⇒ Object 



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# File 'lib/panomosity/runner.rb', line 477

def get_control_point_info
  logger.info 'getting detailed control point info'
  images = Image.parse(@input_file)
  panorama_variable = PanoramaVariable.parse(@input_file).first
  ControlPoint.parse(@input_file)
  control_points = ControlPoint.calculate_distances(images, panorama_variable)

  control_points.each do |cp|
    logger.debug cp.detailed_info
  end
end

#get_neighborhood_info ⇒ Object 



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# File 'lib/panomosity/runner.rb', line 489

def get_neighborhood_info
  logger.info 'getting detailed neighborhood info'
  panorama = Panorama.new(@input_file, @options)
  panorama.get_neighborhood_info
end

#get_panorama_attributes ⇒ Object 



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# File 'lib/panomosity/runner.rb', line 495

def get_panorama_attributes
  # for printing out the JSON
  logger.level = Logger::UNKNOWN
  logger.info 'getting panorama attributes'
  panorama = Panorama.new(@input_file, @options)
  puts panorama.attributes.to_json
end

#import_control_point_csv ⇒ Object 



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# File 'lib/panomosity/runner.rb', line 567

def import_control_point_csv
  logger.info 'importing control point csv'
  panorama = Panorama.new(@input_file, @options)

  filename = @csv || 'control_points.csv'
  csv = CSV.read(filename)
  headers = csv.first
  csv = csv[1..(csv.length - 1)]
  data = csv.map { |s| Hash[headers.zip(s)] }

  @lines = @input_file.each_line.map do |line|
    cp = panorama.control_points.find { |c| c.raw == line }
    if cp
      kept_cp = data.find do |d|
        cp.i1.id == d['image_1_id'].to_i && cp.i2.id == d['image_2_id'].to_i &&
        cp.x1.round(4) == d['x1'].to_f.round(4) && cp.x2.round(4) == d['x2'].to_f.round(4) &&
        cp.y1.round(4) == d['y1'].to_f.round(4) && cp.y2.round(4) == d['y2'].to_f.round(4)
      end
      cp.to_s if kept_cp
    else
      next line
    end
  end.compact

  save_file
end

#merge_image_parameters ⇒ Object 



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# File 'lib/panomosity/runner.rb', line 594

def merge_image_parameters
  logger.info 'merging image parameters'
  control_points = ControlPoint.parse(@compare_file)
  images = Image.parse(@compare_file)

  # sort images
  logger.info 'sorting images in case they get out of order'
  lexically_sorted_images = images
  numerically_sorted_images = images.sort_by { |image| [image.column, image.row] }
  image_map = {}
  lexically_sorted_images.each_with_index do |image_l, i|
    image_map[image_l.name] = numerically_sorted_images[i]
    image_map[numerically_sorted_images[i].id.to_i] = image_l.id.to_i
  end

  # fix control points
  control_points.each do |control_point|
    control_point[:n] = image_map[control_point[:n].to_i]
    control_point[:N] = image_map[control_point[:N].to_i]
  end

  v_lines_started = false
  @lines = @input_file.each_line.map do |line|
    if line[0] == 'v'
      v_lines_started = true
      next line
    elsif v_lines_started
      v_lines_started = false
      control_points.map(&:to_s).join
    else
      next line
    end
  end.compact

  save_file
end

#nona_grid ⇒ Object 



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# File 'lib/panomosity/runner.rb', line 631

def nona_grid
  logger.info 'running nona and generated column and row based stitch sections'
  images = Image.parse(@input_file)
  res = @options[:res] || 'low'
  columns = images.map(&:column).uniq.sort
  commands = columns.map do |column|
    @output = "project_nona_c#{column}.pto"
    @output_file = File.new(@output, 'w')
    logger.debug "creating file #{@output}"
    @lines = @input_file.each_line.map do |line|
      image = images.find { |i| i.raw == line }
      if image
        image.to_s if image.column == column
      else
        next line
      end
    end.compact
    save_file
    logger.debug "running nona #{@output}"
    output = "nona --save-intermediate-images --intermediate-suffix=intermediate -v -m TIFF_m --seam=blend #{@output} -o #{res}_res_stitch_section_c#{column.to_s.rjust(5, '0')}_"
    # output = "nona-mask #@output -m TIFF_m -o #{res}_res_stitch_section_c#{column.to_s.rjust(5, '0')}_"
    logger.debug output
    output
  end

  logger.debug 'parallelizing'
  if @options[:darwin]
    parallel_command = "cat <<'EOF' |  parallel \n#{commands.join("\n")}\nEOF"
  else
    parallel_command = "cat <<'EOF' |  parallel -j $(fgrep -c processor /proc/cpuinfo) \n#{commands.join("\n")}\nEOF"
  end

  `#{parallel_command}`
end

#optimize ⇒ Object 



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# File 'lib/panomosity/runner.rb', line 666

def optimize
  logger.info 'optimizing'
  panorama = Panorama.new(@input_file, @options)
  optimizer = Optimizer.new(panorama)
  optimizer.run

  @lines = @input_file.each_line.map do |line|
    image = optimizer.images.find { |i| i.raw == line }
    if image
      image.to_s
    else
      next line
    end
  end.compact

  save_file
end

#prepare_for_pr0ntools ⇒ Object 



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# File 'lib/panomosity/runner.rb', line 684

def prepare_for_pr0ntools
  logger.info 'preparing for pr0ntools'

  images = Image.parse(@input_file)
  # ds --> X (cols)
  # es --> Y (rows)
  ds = images.map(&:d).uniq.sort
  es = images.map(&:e).uniq.sort

  # split ds and es into groups within two pixels of each other,
  # required because d/e can vary a few pixels based on system precision
  # each group of d/e represents an acceptable pixel range
  # for images to be considered part of a col/row
  d_groups = ds.map { |d| ds.select { |n| n.between?(d-2, d+2) }.sort }.uniq
  e_groups = es.map { |e| es.select { |n| n.between?(e-2, e+2) }.sort }.uniq

  fov = images.map(&:v).uniq.find { |v| v != 0.0 }
  images.each do |i|
    column = d_groups.reverse.index { |group| group.include?(i.d) }
    row = e_groups.reverse.index { |group| group.include?(i.e) }
    i[:original_n] = i.n
    i.n = "c#{column}_r#{row}.jpg"
    i.v = fov
  end
  images = images.sort_by { |image| [image.column, image.row] }

  index = -1
  @lines = @input_file.each_line.map do |line|
    image = images.find { |i| i.raw == line }
    next line unless image
    index += 1
    images[index].to_s
  end.compact

  dir = '/pr0ntools/'
  logger.info "creating #{dir}"
  new_dir = Pathname.new(@output).dirname.to_s + dir
  FileUtils.mkdir_p(new_dir)

  logger.info 'renaming files to format cX_rY.jpg'
  images.each do |image|
    original_name = image[:original_n]
    new_name = new_dir + image.n
    FileUtils.cp(original_name, new_name)
    logger.debug "copied #{original_name} to #{new_name}"
  end

  logger.info 'creating scan.json'
  image_first_col = images.find { |image| image.n == 'c0_r0.jpg' }
  image_second_col = images.find { |image| image.n == 'c1_r0.jpg' }
  overlap = ((image_second_col.d - image_first_col.d).abs / image_first_col.w.to_f).round(4)
  File.open(new_dir+'scan.json', 'w') { |f| f.puts %Q({"overlap":#{overlap}}) }

  save_file(dir: dir)
end

#remove_anchor_variables ⇒ Object 



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# File 'lib/panomosity/runner.rb', line 740

def remove_anchor_variables
  logger.info 'removing anchor variables'
  variables = OptimisationVariable.parse(@input_file)

  @lines = @input_file.each_line.map do |line|
    variable = variables.find { |v| v.raw == line }
    if variable && (variable.d == 0 || variable.e == 0)
      next
    else
      next line
    end
  end.compact

  save_file
end

#run(command) ⇒ Object 



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# File 'lib/panomosity/runner.rb', line 63

def run(command)
  if AVAILABLE_COMMANDS.include?(command)
    send(command)
  else
    logger.info "commands include:\n#{AVAILABLE_COMMANDS.join("\n")}"
  end
end

#standardize_roll ⇒ Object 



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# File 'lib/panomosity/runner.rb', line 756

def standardize_roll
  logger.info 'standardizing roll'
  images = Image.parse(@input_file)
  panorama_variable = PanoramaVariable.parse(@input_file).first
  ControlPoint.parse(@input_file)
  control_points = ControlPoint.calculate_distances(images, panorama_variable)
  max_count = (images.count * 0.5).ceil - 1
  pairs = control_points.group_by { |cp| [cp.n1, cp.n2] }.sort_by { |_, members| -members.count }[0..max_count]
  image_ids = pairs.map { |image_ids, _| image_ids }.flatten.uniq
  rolls = images.select { |image| image_ids.include?(image.id) }.map(&:r)

  average_roll, roll_std = *calculate_average_and_std(name: :roll, values: rolls, logger: logger)
  new_rolls = rolls.select { |r| (r - average_roll).abs < roll_std }
  logger.info "removed #{rolls.count - new_rolls.count} outliers"
  average_roll, _ = *calculate_average_and_std(name: :roll, values: new_rolls, logger: logger)
  logger.info "converting all rolls to #{average_roll}"

  @lines = @input_file.each_line.map do |line|
    image = images.find { |i| i.raw == line }
    if image
      image.r = average_roll
      image.to_s
    else
      next line
    end
  end.compact

  save_file
end