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dsparks revised this gist
May 27, 2015 . 1 changed file with 11 additions and 10 deletions.There are no files selected for viewing
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters. Learn more about bidirectional Unicode charactersOriginal file line number Diff line number Diff line change @@ -1,5 +1,5 @@ doInstall <- TRUE # Change to FALSE if you don't want packages installed. toInstall <- c("jpeg", "reshape2", "ggplot2") if(doInstall){install.packages(toInstall, repos = "http://cran.r-project.org")} lapply(toInstall, library, character.only = TRUE) @@ -29,24 +29,24 @@ allImageURLs <- c("http://media.charlesleifer.com/blog/photos/thumbnails/akira_9 imageLoader <- function(url){ # This function takes a URL, and generates a data.frame with pixel locations and colors # Download to disk, load download.file(url, "tempPicture.jpg", mode = "wb") # Stash image locally readImage <- readJPEG("tempPicture.jpg") longImage <- melt(readImage) rgbImage <- reshape(longImage, timevar = "Var3", idvar = c("Var1", "Var2"), direction = "wide") rgbImage$Var1 <- -rgbImage$Var1 return(rgbImage) } ########## # Part 2 # Identifying "dominant" colors with k-means ########## rgbImage <- imageLoader("https://pbs.twimg.com/media/CGA2pXkWMAEl2Pb.jpg:large") # Pick one, or use your own URL. with(rgbImage, plot(Var2, Var1, col = rgb(rgbImage[, 3:5]), asp = 1, pch = ".")) # Cluster in color space: kColors <- 6 # Number of palette colors kMeans <- kmeans(rgbImage[, 3:5], centers = kColors) zp1 <- qplot(factor(kMeans$cluster), geom = "bar", @@ -55,4 +55,5 @@ zp1 <- zp1 + scale_fill_manual(values = rgb(kMeans$centers)) zp1 approximateColor <- kMeans$centers[kMeans$cluster, ] qplot(data = rgbImage, x = Var2, y = Var1, fill = rgb(approximateColor), geom = "tile") + coord_equal() + scale_fill_identity(guide = "none") -
Oct 30, 2012 .There are no files selected for viewing
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters. Learn more about bidirectional Unicode charactersOriginal file line number Diff line number Diff line change @@ -0,0 +1,58 @@ doInstall <- TRUE # Change to FALSE if you don't want packages installed. toInstall <- c("ReadImages", "reshape", "ggplot2") if(doInstall){install.packages(toInstall, repos = "http://cran.r-project.org")} lapply(toInstall, library, character.only = TRUE) # Image URL: allImageURLs <- c("http://media.charlesleifer.com/blog/photos/thumbnails/akira_940x700.jpg", "http://upload.wikimedia.org/wikipedia/commons/thumb/e/ec/Mona_Lisa%2C_by_Leonardo_da_Vinci%2C_from_C2RMF_retouched.jpg/402px-Mona_Lisa%2C_by_Leonardo_da_Vinci%2C_from_C2RMF_retouched.jpg", "http://upload.wikimedia.org/wikipedia/commons/thumb/e/e9/Official_portrait_of_Barack_Obama.jpg/441px-Official_portrait_of_Barack_Obama.jpg", "http://cache.boston.com/universal/site_graphics/blogs/bigpicture/obama_11_05/obama22_16604051.jpg", "http://upload.wikimedia.org/wikipedia/commons/thumb/e/ea/Van_Gogh_-_Starry_Night_-_Google_Art_Project.jpg/758px-Van_Gogh_-_Starry_Night_-_Google_Art_Project.jpg", "http://www.10mfh.com/wp-content/uploads/2011/09/dino_riders.jpg", "http://images3.alphacoders.com/855/8557.jpg", "http://inapcache.boston.com/universal/site_graphics/blogs/bigpicture/ngm_101912/bp19.jpg", "http://inapcache.boston.com/universal/site_graphics/blogs/bigpicture/ngm_101912/bp26.jpg", "http://inapcache.boston.com/universal/site_graphics/blogs/bigpicture/ngm_101912/bp35.jpg", "http://inapcache.boston.com/universal/site_graphics/blogs/bigpicture/balloon/bp6.jpg", "http://inapcache.boston.com/universal/site_graphics/blogs/bigpicture/smithsonian_030512/bp14.jpg", "http://inapcache.boston.com/universal/site_graphics/blogs/bigpicture/smithsonian_030512/bp15.jpg", "http://inapcache.boston.com/universal/site_graphics/blogs/bigpicture/earth_day_2012/bp6.jpg", "http://inapcache.boston.com/universal/site_graphics/blogs/bigpicture/2011part2/bp1.jpg", "http://inapcache.boston.com/universal/site_graphics/blogs/bigpicture/2011part2/bp4.jpg", "http://inapcache.boston.com/universal/site_graphics/blogs/bigpicture/2011part2/bp15.jpg", "http://inapcache.boston.com/universal/site_graphics/blogs/bigpicture/2011part2/bp27.jpg", "http://inapcache.boston.com/universal/site_graphics/blogs/bigpicture/natural_world_2011/bp40.jpg", "http://inapcache.boston.com/universal/site_graphics/blogs/bigpicture/ngmphotocontest_111811/bp10.jpg", "http://inapcache.boston.com/universal/site_graphics/blogs/bigpicture/ngmphotocontest_111811/bp54.jpg") imageLoader <- function(url){ # This function takes a URL, and generates a data.frame with pixel locations and colors # Download to disk, load download.file(url, "tempPicture.jpg", mode = "wb") # Stash image locally readImage <- read.jpeg("tempPicture.jpg") longImage <- melt(readImage) rgbImage <- reshape(longImage, timevar = "X3", idvar = c("X1", "X2"), direction = "wide") rgbImage$X1 <- -rgbImage$X1 return(rgbImage) } ########## # Part 2 # Identifying "dominant" colors with k-means ########## rgbImage <- imageLoader(allImageURLs[5]) # Pick one, or use your own URL. with(rgbImage, plot(X2, X1, col = rgb(rgbImage[, 3:5]), asp = 1, pch = ".")) # Cluster in color space: kColors <- 5 # Number of palette colors kMeans <- kmeans(rgbImage[, 3:5], centers = kColors) zp1 <- qplot(factor(kMeans$cluster), geom = "bar", fill = factor(kMeans$cluster)) zp1 <- zp1 + scale_fill_manual(values = rgb(kMeans$centers)) zp1 approximateColor <- kMeans$centers[kMeans$cluster, ] with(rgbImage, plot(X2, X1, col = rgb(approximateColor), asp = 1, pch = "."))