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- ## Read in csvs and match data from tracked blobs in
- ## vehicle detection process
- library(dplyr)
- library(ggplot2)
- setwd("~/Veh Detection/Sample Scripts")
- # read in blobs data
- blobs <- read.csv("/Users/datascience9/Veh Detection/Sample Scripts/tracked_blobs.csv",
- header = T, stringsAsFactors = F)
- # read in contours data
- contours <- read.csv("/Users/datascience9/Veh Detection/Sample Scripts/tracked_conts.csv",
- header = T, stringsAsFactors = F)
- blobs$id <- as.character(blobs$id)
- # do some plots
- cPlot <- ggplot(contours, aes(x = width, y = height)) + geom_point() +
- xlim(0,100) + ylim(0,100)
- bPlot <- ggplot(blobs, aes(x = vector_y, y = vector_x, color=id)) + geom_point() +
- scale_color_discrete() +
- ylim(0,mean(blobs$vector_x, na.rm = T)) + xlim(-180,180)
- # store plots
- # dev.copy(png, "../Outputs/contourPlot.png")
- # cPlot
- # dev.off()
- #
- # dev.copy(png, "../Outputs/blobPlot.png")
- # bPlot
- # dev.off()
- ggsave("../Outputs/contourPlot.png",cPlot)
- ggsave("../Outputs/blobPlot.png",bPlot)
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