Gen Art Manual
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Package ‘GenArt’ June 4, 2019 Title Genetic algorithm for image reproduction Version 0.1.0 Description R package provides a genetic algorithm for image reproduction. It is based on forcing one or more errors during DNA replication (mutation) to keep the best candidate for another mutation. DNA consists of coordinates, degree of transparency, and RGB codes or gray scales for a given number of polygons. Depends R (>= 3.5.1) License MIT + file LICENSE Encoding UTF-8 LazyData true Maintainer Robert HerrmannAuthor Robert Herrmann RoxygenNote 6.1.1 Import png NeedsCompilation no R topics documented: dna_convert . . dna_in . . . . . dna_mutate . . dna_print . . . dna_read . . . . dna_tangle . . . dna_untangle . gen_art . . . . pic_compare . . pic_convert . . pic_randomtiles pic_unitiles . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 2 3 3 4 4 5 5 6 6 7 7 9 1 2 dna_in dna_convert Convert image DNA to PNG format Description Function converts image DNA to array object including RGB or gray scale for each pixel. Usage dna_convert(dna, maxXY, tempf, pngWH, bg = "white") Arguments dna tempf pngWH bg matrix or character, untangled or tangled image DNA of any size. temporate file generated by default or given as file path. vector, width and height of reconstructed image. If missing, width and height of original image are used. character, color or RGB code indicating the background color of PNG. Details See example... Examples dna <- dna_untangle(dna_in(rgb = FALSE)) for(i in 1:20){ dna <- dna_mutate(dna) } test <- dna_convert(dna) grid::grid.raster(test) test[1,1,] dna_in Generate image DNA Description Function to generate a random image DNA. Usage dna_in(n = 10, vertex = 3, maxXY = c(200, 200), rgb = TRUE) Arguments n vertex maxXY rgb numeric, number of polygons to be drawn to your image, Default = 10. numeric, number of vertices each polygen should be constructed of, Default = 3. vector, sets the pixels given by the original image, Default = c(200, 200). logic, if TRUE, generates an RGB code (default), if FALLS, generates a gray scale. dna_mutate 3 Details Is generally the first step of starting an image reproduction. Use maxXY = dim(pic)[2:1] to get the number of pixels in the original image. Examples dna_in(n = 5, vertex = 2, rgb = FALSE) Mutate image DNA dna_mutate Description Function to mutate an image DNA. Usage dna_mutate(dna, degree = "soft", maxXY) Arguments dna matrix or character, untangled or tangled image DNA of any size. degree numeric, number nucleotides to be modified per mutation, Default = 1. Details It is recommended to use the softest mutation rate as given by default. Examples dna <- dna_untangle(dna_in(rgb = FALSE)) test <- dna_mutate(dna, degree = 20) pic_compare(dna, test) Plot image DNA dna_print Description Function to plot an image DNA. Usage dna_print(dna, maxXY) Arguments dna matrix or character, untangled or tangled image DNA of any size. 4 dna_tangle Details Are comming up soon... Examples #Is comming up soon... dna_read Read image DNA Description Function to read file.txt including a tangled or untangled image DNA. Usage dna_read(log, tangle = TRUE) Arguments log filepath. tangle logic, TRUE if tangled (default), FALSE if untangled. Details After your calculation is done, you may want to improve the results by reloading the existing image DNA, and start the calculation again. dna_tangle Tangle image DNA Description Function to tangle an untangled image DNA. Usage dna_tangle(dna) Arguments dna matrix, untangled image DNA of any size. Details See example... Examples dna <- dna_untangle(dna_in(n = 2, vertex = 3, rgb = FALSE)) dna_tangle(dna) dna_untangle 5 Untangle image DNA dna_untangle Description Function to untangle an image DNA to get color code and coordinates of each polygon. Usage dna_untangle(dna) Arguments dna character, tangled image DNA of any size. Details See example... Examples dna_untangle(dna_in()) dna_untangle(dna_in(rgb = FALSE)) gen_art Genetic algorithm Description Algorithm that continues to mutate (improve) the image DNA until manually stoped or a given maximum of iterations is reached Usage gen_art(pic, dna, iter = Inf, fname = "ReconPic.png", fnamelog = "Log.txt", tempf, degree = "Soft") Arguments pic object of class array, original image in PNG format. dna matrix or character, untangled or tangled image DNA of any size. iter numeric, number of iterations. Default = Inf. fname character, filename for the reconstructed image. Default = "ReconPic.png". tempf temporate file generated by default or given as file path. See ... degree numeric, how many nucleotides should be modified per one iteration, Default = 1. fanmelog character, filename for file.txt including the tangled image DNA. Default = "Log.txt". 6 pic_convert Details It is recommended to use the softest mutation rate as given by default. See example... Examples #Is coming up soon... Calculate image fitness pic_compare Description Function to compare two images to calculate fitness. Usage pic_compare(imgONE, imgTWO) Arguments imgONE first array to compare with second array. imgTWO second array to compare with first array. Details ... Convert RGB code to gray scale pic_convert Description Function to convert RGB to gray scale. Usage pic_convert(pic) Arguments pic Details ... array including RGB. pic_randomtiles pic_randomtiles 7 Randomly crop an image Description Function to tile an image into 4 different pieces. Usage pic_randomtiles(w, h, plot = TRUE) Arguments w numeric, width of the original picture. h numeric, height of the original picture. plot logic, function plots layout if TRUE (default). Details Try multiple times to get the required image layout. Assign data frame to an object for subsequent use in gen_art. See example. Examples ## Image width and height h <- 100 w <- 120 ## Three trials as an example for(i in 1:3){ pic_randomtiles(w, h, plot = TRUE) title("Split your image for better results...") text(w/2, h/2, paste("Trial", i), cex = 4, col = "white") Sys.sleep(1.5) } pic_unitiles Uniformly crop an image Description Function to uniformly crop an image into n pieces. Usage pic_unitiles(wh, nn, plot = TRUE) 8 pic_unitiles Arguments wh vector, width and height of the original image. nn vector, number of columns and rows to split the image in. plot logic, function plots layout if TRUE (default). Details Function cuts remaining pixels if width/height is indivisible by columns/rows. Assign data frame to an object for subsequent use in gen_art. See example. Examples ## Image width/height and number of colums/rows wh <- c(89, 70) nn <- c(6, 4) ## Calculation and plotting pic_unitiles(wh, nn) Index dna_convert, 2 dna_in, 2 dna_mutate, 3 dna_print, 3 dna_read, 4 dna_tangle, 4 dna_untangle, 5 gen_art, 5 pic_compare, 6 pic_convert, 6 pic_randomtiles, 7 pic_unitiles, 7 9
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