Initial commit
5
.gitignore
vendored
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@@ -0,0 +1,5 @@
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.Rproj.user
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.Rhistory
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.RData
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.Ruserdata
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Lego.Rproj
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201
0_Playground.R
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library(tidyverse); library(jpeg)
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img.raw <- readJPEG("Images/anthonyryan.jpg")
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img <- bind_rows(
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list(
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(as.data.frame(img.raw[, , 1]) %>%
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mutate(y=row_number(), channel = "R") %>%
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gather(x, value, -y, -channel) %>%
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mutate(x = as.numeric(gsub("V", "", x)))),
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(as.data.frame(img.raw[, , 2]) %>%
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mutate(y=row_number(), channel = "G") %>%
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gather(x, value, -y, -channel) %>%
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mutate(x = as.numeric(gsub("V", "", x)))),
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(as.data.frame(img.raw[, , 3]) %>%
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mutate(y=row_number(), channel = "B") %>%
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gather(x, value, -y, -channel) %>%
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mutate(x = as.numeric(gsub("V", "", x))))
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)
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) %>%
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# mutate(value = value * 255) %>%
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spread(channel, value)
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#Goal is 48 px tall
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max(img$x)
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max(img$y)
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img_height <- 48
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img2 <- img %>%
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mutate(y_scaled = (y - min(y))/(max(y)-min(y))*img_height + 1,
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x_scaled = (x - min(x))/(max(x)-min(x))*img_height + 1) %>%
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group_by(y2 = ceiling(y_scaled), x2 = ceiling(x_scaled)) %>%
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summarize_at(vars(R, G, B), funs(mean(.))) %>%
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rowwise() %>%
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mutate(color = rgb(R, G, B)) %>%
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ungroup()
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ggplot(img2 %>% filter(x2 <= 100), aes(x=x2, y=-y2, fill = color)) +
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geom_raster()+
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scale_fill_identity() +
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coord_fixed(expand = FALSE)
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#Lego colors
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lego_colors <- read_csv("Colors/Lego_Colors.csv")
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lego_colors2 <- lego_colors %>%
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filter(c_Palette2016, !c_Transparent, !c_Glow, !c_Metallic) %>%
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mutate_at(vars(R, G, B), funs(./255)) %>%
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rename(R_lego = R, G_lego = G, B_lego = B)%>%
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mutate_at(vars(starts_with("w_")), funs(ifelse(is.na(.), 0, .)))
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lego_colors3 <- lego_colors2 %>%
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filter(t_Classic)
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convert_to_lego <- function(R, G, B){
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dat <- lego_colors2 %>%
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mutate(dist = ((R_lego - R)^2 + (G_lego - G)^2 + (B_lego - B)^2)^(1/2)) %>%
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# mutate(dist = dist^w_Classic) %>%
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filter(dist == min(dist)) %>%
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top_n(1, dist)
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return(data.frame(Lego_name = dat$Color,
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Lego_color = rgb(dat$R_lego, dat$G_lego, dat$B_lego),
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stringsAsFactors = F))
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}
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l_img2 <- img2 %>%
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# filter(x2 <= 100) %>%
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mutate(lego = purrr::pmap(list(R, G, B), convert_to_lego)) %>%
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unnest(lego)
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ggplot(l_img2, aes(x=x2, y=-y2, fill = Lego_color)) +
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geom_tile(width = 0.9, height = 0.9)+
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scale_fill_identity() +
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geom_point(color = "#333333", alpha = 0.2, shape = 1, size = 2.5) +
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coord_fixed(expand = FALSE) +
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theme_minimal()+
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theme(panel.background = element_rect(fill = "#999999"),
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axis.title.x = element_blank(),
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axis.text.x = element_blank(),
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axis.title.y = element_blank(),
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axis.text.y = element_blank())
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#Combine bricks into larger ones
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#Give each theoretical brick a unique ID
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l_img3 <- l_img2 %>%
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select(x=x2, y=y2, Lego_name, Lego_color) %>%
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#4x2 bricks - horizontal
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group_by(xg = x %/% 4, yg = y %/% 2) %>%
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mutate(g_1_x4y2_0 = ifelse(length(unique(Lego_name)) == 1 & n() == 8,
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paste0("x4y2_", "x", min(x), "_y", min(y)), NA)) %>%
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ungroup() %>%
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#4x2 bricks - vertical
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group_by(xg = x %/% 2, yg = y %/% 4) %>%
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mutate(g_2_x2y4_0 = ifelse(length(unique(Lego_name)) == 1 & n() == 8,
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paste0("x2y4_", "x", min(x), "_y", min(y)), NA)) %>%
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ungroup() %>%
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# #4x2 bricks - horizontal offset
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# group_by(xg = (x+2) %/% 4, yg = (y+1) %/% 2) %>%
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# mutate(g_3_x4y2_1 = ifelse(length(unique(Lego_name)) == 1 & n() == 8,
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# paste0("x4y2_", "x", min(x), "_y", min(y)), NA)) %>%
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# ungroup() %>%
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# #4x2 bricks - vertical offset
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# group_by(xg = (x+1) %/% 2, yg = (y+2) %/% 4) %>%
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# mutate(g_4_x2y4_1 = ifelse(length(unique(Lego_name)) == 1 & n() == 8,
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# paste0("x2y4_", "x", min(x), "_y", min(y)), NA)) %>%
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# ungroup() %>%
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#2x2 bricks
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group_by(xg = x %/% 2, yg = y %/% 2) %>%
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mutate(g_5_x2y2_0 = ifelse(length(unique(Lego_name)) == 1 & n() == 4,
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paste0("x2y2_", "x", min(x), "_y", min(y)), NA)) %>%
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ungroup() %>%
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# #2x2 bricks - offset
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# group_by(xg = (x+1) %/% 2, yg = (y+1) %/% 2) %>%
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# mutate(g_6_x2y2_1 = ifelse(length(unique(Lego_name)) == 1 & n() == 4,
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# paste0("x2y2_", "x", min(x), "_y", min(y)), NA)) %>%
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# ungroup() %>%
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#4x1 bricks - horizontal
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group_by(xg = x %/% 4, yg = y ) %>%
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mutate(g_7_x4y1_0 = ifelse(length(unique(Lego_name)) == 1 & n() == 4,
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paste0("x4y1_", "x", min(x), "_y", min(y)), NA)) %>%
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ungroup() %>%
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#4x1 bricks - vertical
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group_by(xg = x, yg = y %/% 4) %>%
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mutate(g_8_x1y4_1 = ifelse(length(unique(Lego_name)) == 1 & n() == 4,
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paste0("x1y4_", "x", min(x), "_y", min(y)), NA)) %>%
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ungroup() %>%
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#3x1 bricks - horizontal
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group_by(xg = x %/% 3, yg = y ) %>%
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mutate(g_7_x3y1_0 = ifelse(length(unique(Lego_name)) == 1 & n() == 3,
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paste0("x3y1_", "x", min(x), "_y", min(y)), NA)) %>%
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ungroup() %>%
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#3x1 bricks - vertical
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group_by(xg = x, yg = y %/% 3) %>%
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mutate(g_8_x1y3_1 = ifelse(length(unique(Lego_name)) == 1 & n() == 3,
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paste0("x1y3_", "x", min(x), "_y", min(y)), NA)) %>%
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ungroup() %>%
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#2x1 bricks - horizontal
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group_by(xg = x %/% 2, yg = y ) %>%
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mutate(g_9_x2y1_0 = ifelse(length(unique(Lego_name)) == 1 & n() == 2,
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paste0("x2y1_", "x", min(x), "_y", min(y)), NA)) %>%
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ungroup() %>%
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#2x1 bricks - vertical
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group_by(xg = x, yg = y %/% 2) %>%
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mutate(g_10_x1y2_1 = ifelse(length(unique(Lego_name)) == 1 & n() == 2,
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paste0("x1y2_", "x", min(x), "_y", min(y)), NA)) %>%
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ungroup() %>%
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#1x1
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mutate(g_11_x1y1_0 = paste0("x1y1_", "x", x, "_y", y)) %>%
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select(-xg, -yg)
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l_img4 <- l_img3 %>%
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gather(Brick, brick_id, dplyr::starts_with("g_")) %>%
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#Only keep first Brick group that is true...biggest ones are first!
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group_by(x, y) %>%
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filter(Brick == Brick[min(which(!is.na(brick_id)))]) %>%
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ungroup()
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l_img5 <- l_img4 %>%
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group_by(brick_id) %>%
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mutate(brick_size = n()) %>% #HMMMnot perfect. some overlap with assignments
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ungroup() %>%
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group_by(brick_id) %>%
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mutate(xmin = min(x)-0.5, xmax = max(x)+0.5,
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ymin = min(y)-0.5, ymax = max(y)+0.5) %>%
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ungroup() %>%
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select(Brick, brick_id, xmin, xmax, ymin, ymax, Lego_color, Lego_name)
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ggplot(l_img5) +
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geom_rect(aes(xmin=xmin, xmax=xmax, ymin=-ymin, ymax=-ymax,
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fill = Lego_color), color = "#333333")+
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scale_fill_identity() +
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geom_point(data = l_img2, aes(x=x2, y=-y2),
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color = "#666666", alpha = 0.2, shape = 1, size = 3) +
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coord_fixed(expand = FALSE) +
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theme_minimal()+
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theme(panel.background = element_rect(fill = "#999999"),
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axis.title.x = element_blank(),
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axis.text.x = element_blank(),
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axis.title.y = element_blank(),
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axis.text.y = element_blank())
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#Piece counts!
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pieces <- l_img5 %>%
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select(Brick, brick_id, Lego_name, Lego_color) %>%
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distinct() %>%
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separate(Brick, c("g", "gn", "size", "gi")) %>%
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select(-g, -gn, -gi) %>%
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mutate(size1 = as.numeric(substr(size, 2, 2)),
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size2 = as.numeric(substr(size, 4, 4))) %>%
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mutate(Brick_size = ifelse(size1>size1, paste(size1, "x", size2), paste(size2, "x" , size1))) %>%
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count(Brick_size, Lego_name) %>%
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arrange(desc(Brick_size), desc(n))
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sum(pieces$n)
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BIN
Colors/2016-LEGO-color-palette.pdf
Normal file
BIN
Colors/Colors_Master.xlsx
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128
Colors/Lego_Colors.csv
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@@ -0,0 +1,128 @@
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LEGONo,Color,Sample,R,G,B,c_Palette2016,c_Transparent,c_Glow,c_Metallic,t_Classic,t_Friends,w_Classic
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1,White,,242,243,242,TRUE,FALSE,FALSE,FALSE,TRUE,,1.5
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5,Brick yellow,,215,197,153,TRUE,FALSE,FALSE,FALSE,,,
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18,Nougat,,204,142,104,TRUE,FALSE,FALSE,FALSE,,,
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21,Bright red,,196,40,27,TRUE,FALSE,FALSE,FALSE,TRUE,,2
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23,Bright blue,,13,105,171,TRUE,FALSE,FALSE,FALSE,TRUE,,2
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24,Bright yellow,,245,205,47,TRUE,FALSE,FALSE,FALSE,TRUE,,2
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26,Black,,27,42,52,TRUE,FALSE,FALSE,FALSE,TRUE,,1.5
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28,Dark green,,40,127,70,TRUE,FALSE,FALSE,FALSE,,,
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37,Bright green,,75,151,74,TRUE,FALSE,FALSE,FALSE,TRUE,,1.5
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38,Dark orange,,160,95,52,TRUE,FALSE,FALSE,FALSE,TRUE,,1
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40,Transparent,,236,236,236,TRUE,TRUE,FALSE,FALSE,,,
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41,Tr. Red,,205,84,75,TRUE,TRUE,FALSE,FALSE,,,
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42,Tr. Lg blue,,193,223,240,TRUE,TRUE,FALSE,FALSE,,,
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43,Tr. Blue,,123,182,232,TRUE,TRUE,FALSE,FALSE,,,
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44,Tr. Yellow,,247,241,141,TRUE,TRUE,FALSE,FALSE,,,
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47,Tr. Flu. Reddish orange,,217,133,108,TRUE,TRUE,FALSE,FALSE,,,
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48,Tr. Green,,132,182,141,TRUE,TRUE,FALSE,FALSE,,,
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49,Tr. Flu. Green,,248,241,132,TRUE,TRUE,FALSE,FALSE,,,
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102,Medium blue,,110,153,201,TRUE,FALSE,FALSE,FALSE,,,
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106,Bright orange,,218,133,64,TRUE,FALSE,FALSE,FALSE,TRUE,,1
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111,Tr. Brown,,191,183,177,TRUE,TRUE,FALSE,FALSE,,,
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113,Tr. Medi. reddish violet,,228,173,200,TRUE,TRUE,FALSE,FALSE,,,
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113,Tr. Medium Violet,,253,142,207,TRUE,TRUE,FALSE,FALSE,,TRUE,
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119,Br. yellowish green,,164,189,70,TRUE,FALSE,FALSE,FALSE,TRUE,,1
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124,Bright reddish violet,,146,57,120,TRUE,FALSE,FALSE,FALSE,,TRUE,
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126,Tr. Bright bluish violet,,165,165,203,TRUE,TRUE,FALSE,FALSE,,TRUE,
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135,Sand blue,,116,134,156,TRUE,FALSE,FALSE,FALSE,,,
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138,Sand yellow,,149,138,115,TRUE,FALSE,FALSE,FALSE,,,
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140,Earth blue,,32,58,86,TRUE,FALSE,FALSE,FALSE,,,
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141,Earth green,,39,70,44,TRUE,FALSE,FALSE,FALSE,,,
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143,Tr. Flu. Blue,,207,226,247,TRUE,TRUE,FALSE,FALSE,,TRUE,
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151,Sand green,,120,144,129,TRUE,FALSE,FALSE,FALSE,,,
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154,Dark red,,123,46,47,TRUE,FALSE,FALSE,FALSE,,,
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191,Flame yellowish orange,,232,171,45,TRUE,FALSE,FALSE,FALSE,,TRUE,
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192,Reddish brown,,105,64,39,TRUE,FALSE,FALSE,FALSE,,,
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194,Medium stone grey,,163,162,164,TRUE,FALSE,FALSE,FALSE,,,
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199,Dark stone grey,,99,95,97,TRUE,FALSE,FALSE,FALSE,,,
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221,Bright purple,,205,98,152,TRUE,FALSE,FALSE,FALSE,,TRUE,
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222,Light purple,,228,173,200,TRUE,FALSE,FALSE,FALSE,,TRUE,
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226,Cool yellow,,253,234,140,TRUE,FALSE,FALSE,FALSE,,TRUE,
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268,Medium lilac,,51,0,114,TRUE,FALSE,FALSE,FALSE,,,
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283,Light Nougat,,252,200,155,TRUE,FALSE,FALSE,FALSE,,,
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297,Warm Gold,,170,127,46,TRUE,FALSE,FALSE,TRUE,,,
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308,Dark brown,,49,38,29,TRUE,FALSE,FALSE,FALSE,,,
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311,Tr. Bright Green,,175,210,70,TRUE,TRUE,FALSE,FALSE,,,
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312,Medium Nougat,,170,125,85,TRUE,FALSE,FALSE,FALSE,,,
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315,Silver Metallic,,140,140,140,TRUE,FALSE,FALSE,TRUE,,,
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316,Titanium Metallic,,62,60,57,TRUE,FALSE,FALSE,TRUE,,,
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321,Dark Azur,,51,55,198,TRUE,FALSE,FALSE,FALSE,,,
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322,Medium Azur,,113,197,232,TRUE,FALSE,FALSE,FALSE,,TRUE,
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323,Aqua,,185,220,210,TRUE,FALSE,FALSE,FALSE,,,
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324,Med. Lavendar,,160,94,181,TRUE,FALSE,FALSE,FALSE,,,
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325,Lavendar,,202,162,221,TRUE,FALSE,FALSE,FALSE,,,
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326,Spring Yellowish Green,,212,235,142,TRUE,FALSE,FALSE,FALSE,,TRUE,
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329,White Glow,,242,243,242,TRUE,FALSE,TRUE,FALSE,,,
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330,Olive Green,,115,123,76,TRUE,FALSE,FALSE,FALSE,,,
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2,Grey,,161,165,162,FALSE,FALSE,FALSE,FALSE,,,
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3,Light yellow,,249,233,153,FALSE,FALSE,FALSE,FALSE,,,
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6,Light green,,194,218,184,FALSE,FALSE,FALSE,FALSE,,,
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9,Light reddish violet,,232,186,199,FALSE,FALSE,FALSE,FALSE,,,
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12,Light orange brown,,203,132,66,FALSE,FALSE,FALSE,FALSE,,,
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22,Med. reddish violet,,196,112,160,FALSE,FALSE,FALSE,FALSE,,,
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25,Earth orange,,98,71,50,FALSE,FALSE,FALSE,FALSE,,,
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27,Dark grey,,109,110,108,FALSE,FALSE,FALSE,FALSE,,,
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29,Medium green,,161,196,139,FALSE,FALSE,FALSE,FALSE,,,
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36,Lig. Yellowich orange,,243,207,155,FALSE,FALSE,FALSE,FALSE,,,
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39,Light bluish violet,,193,202,222,FALSE,FALSE,FALSE,FALSE,,,
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45,Light blue,,180,210,227,FALSE,FALSE,FALSE,FALSE,,,
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50,Phosph. White,,236,232,222,FALSE,FALSE,FALSE,FALSE,,,
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100,Light red,,238,196,182,FALSE,FALSE,FALSE,FALSE,,,
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101,Medium red,,218,134,121,FALSE,FALSE,FALSE,FALSE,,,
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103,Light grey,,199,193,183,FALSE,FALSE,FALSE,FALSE,,,
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104,Bright violet,,107,50,123,FALSE,FALSE,FALSE,FALSE,,,
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105,Br. yellowish orange,,226,155,63,FALSE,FALSE,FALSE,FALSE,,,
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107,Bright bluish green,,0,143,155,FALSE,FALSE,FALSE,FALSE,,,
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108,Earth yellow,,104,92,67,FALSE,FALSE,FALSE,FALSE,,,
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110,Bright bluish violet,,67,84,147,FALSE,FALSE,FALSE,FALSE,,,
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112,Medium bluish violet,,104,116,172,FALSE,FALSE,FALSE,FALSE,,,
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115,Med. yellowish green,,199,210,60,FALSE,FALSE,FALSE,FALSE,,,
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116,Med. bluish green,,85,165,175,FALSE,FALSE,FALSE,FALSE,,,
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118,Light bluish green,,183,215,213,FALSE,FALSE,FALSE,FALSE,,,
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120,Lig. yellowish green,,217,228,167,FALSE,FALSE,FALSE,FALSE,,,
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121,Med. yellowish orange,,231,172,88,FALSE,FALSE,FALSE,FALSE,,,
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123,Br. reddish orange,,211,111,76,FALSE,FALSE,FALSE,FALSE,,,
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125,Light orange,,234,184,145,FALSE,FALSE,FALSE,FALSE,,,
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127,Gold,,220,188,129,FALSE,FALSE,FALSE,FALSE,,,
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128,Dark nougat,,174,122,89,FALSE,FALSE,FALSE,FALSE,,,
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131,Silver,,156,163,168,FALSE,FALSE,FALSE,FALSE,,,
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133,Neon orange,,213,115,61,FALSE,FALSE,FALSE,FALSE,,,
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134,Neon green,,216,221,86,FALSE,FALSE,FALSE,FALSE,,,
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136,Sand violet,,135,124,144,FALSE,FALSE,FALSE,FALSE,,,
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137,Medium orange,,224,152,100,FALSE,FALSE,FALSE,FALSE,,,
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145,Sand blue metallic,,121,136,161,FALSE,FALSE,FALSE,FALSE,,,
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146,Sand violet metallic,,149,142,163,FALSE,FALSE,FALSE,FALSE,,,
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147,Sand yellow metallic,,147,135,103,FALSE,FALSE,FALSE,FALSE,,,
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148,Dark grey metallic,,87,88,87,FALSE,FALSE,FALSE,FALSE,,,
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149,Black metallic,,22,29,50,FALSE,FALSE,FALSE,FALSE,,,
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150,Light grey metallic,,171,173,172,FALSE,FALSE,FALSE,FALSE,,,
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153,Sand red,,149,121,118,FALSE,FALSE,FALSE,FALSE,,,
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157,Tr. Flu. Yellow,,255,246,123,FALSE,FALSE,FALSE,FALSE,,,
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158,Tr. Flu. Red,,225,164,194,FALSE,FALSE,FALSE,FALSE,,,
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168,Gun metallic,,117,108,98,FALSE,FALSE,FALSE,FALSE,,,
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176,Red flip/flop,,151,105,91,FALSE,FALSE,FALSE,FALSE,,,
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178,Yellow flip/flop,,180,132,85,FALSE,FALSE,FALSE,FALSE,,,
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179,Silver flip/flop,,137,135,136,FALSE,FALSE,FALSE,FALSE,,,
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180,Curry,,215,169,75,FALSE,FALSE,FALSE,FALSE,,,
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190,Fire Yellow,,249,214,46,FALSE,FALSE,FALSE,FALSE,,,
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193,Flame reddish orange,,207,96,36,FALSE,FALSE,FALSE,FALSE,,,
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195,Royal blue,,70,103,164,FALSE,FALSE,FALSE,FALSE,,,
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196,Dark Royal blue,,35,71,139,FALSE,FALSE,FALSE,FALSE,,,
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198,Bright reddish lilac,,142,66,133,FALSE,FALSE,FALSE,FALSE,,,
|
||||
200,Lemon metalic,,130,138,93,FALSE,FALSE,FALSE,FALSE,,,
|
||||
208,Light stone grey,,229,228,222,FALSE,FALSE,FALSE,FALSE,,,
|
||||
209,Dark Curry,,176,142,68,FALSE,FALSE,FALSE,FALSE,,,
|
||||
210,Faded green,,112,149,120,FALSE,FALSE,FALSE,FALSE,,,
|
||||
211,Turquoise,,121,181,181,FALSE,FALSE,FALSE,FALSE,,,
|
||||
212,Light Royal blue,,159,195,233,TRUE,FALSE,FALSE,FALSE,,TRUE,
|
||||
213,Medium Royal blue,,108,129,183,FALSE,FALSE,FALSE,FALSE,,,
|
||||
216,Rust,,143,76,42,FALSE,FALSE,FALSE,FALSE,,,
|
||||
217,Brown,,124,92,69,FALSE,FALSE,FALSE,FALSE,,,
|
||||
218,Reddish lilac,,150,112,159,FALSE,FALSE,FALSE,FALSE,,,
|
||||
219,Lilac,,107,98,155,FALSE,FALSE,FALSE,FALSE,,,
|
||||
220,Light lilac,,167,169,206,FALSE,FALSE,FALSE,FALSE,,,
|
||||
223,Light pink,,220,144,149,FALSE,FALSE,FALSE,FALSE,,,
|
||||
224,Light brick yellow,,240,213,160,FALSE,FALSE,FALSE,FALSE,,,
|
||||
225,Warm yellowish orange,,235,184,127,FALSE,FALSE,FALSE,FALSE,,,
|
||||
232,Dove blue,,125,187,221,FALSE,FALSE,FALSE,FALSE,,,
|
||||
|
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Images/AgeOfReptiles.jpg
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Images/anthonyryan.JPG
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Images/bobcatflower.JPG
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Images/henry.JPG
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Images/ryanbob.JPG
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Images/selfie.jpg
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After Width: | Height: | Size: 89 KiB |
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Images/selfiecher.JPG
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