我正试图下载CIFAR-10图像数据集http://www.cs.toronto.edu/~kriz/cifar.html,但在R中似乎无法提取文件。我已经尝试了所有三种格式:.bin、.mat和python。有人能给出一些建议如何提取它们吗?
非常感谢,Will
非常感谢,Will
# Read binary file and convert to integer vectors
# [Necessary because reading directly as integer()
# reads first bit as signed otherwise]
#
# File format is 10000 records following the pattern:
# [label x 1][red x 1024][green x 1024][blue x 1024]
# NOT broken into rows, so need to be careful with "size" and "n"
#
# (See http://www.cs.toronto.edu/~kriz/cifar.html)
labels <- read.table("cifar-10-batches-bin/batches.meta.txt")
images.rgb <- list()
images.lab <- list()
num.images = 10000 # Set to 10000 to retrieve all images per file to memory
# Cycle through all 5 binary files
for (f in 1:5) {
to.read <- file(paste("cifar-10-batches-bin/data_batch_", f, ".bin", sep=""), "rb")
for(i in 1:num.images) {
l <- readBin(to.read, integer(), size=1, n=1, endian="big")
r <- as.integer(readBin(to.read, raw(), size=1, n=1024, endian="big"))
g <- as.integer(readBin(to.read, raw(), size=1, n=1024, endian="big"))
b <- as.integer(readBin(to.read, raw(), size=1, n=1024, endian="big"))
index <- num.images * (f-1) + i
images.rgb[[index]] = data.frame(r, g, b)
images.lab[[index]] = l+1
}
close(to.read)
remove(l,r,g,b,f,i,index, to.read)
}
# function to run sanity check on photos & labels import
drawImage <- function(index) {
# Testing the parsing: Convert each color layer into a matrix,
# combine into an rgb object, and display as a plot
img <- images.rgb[[index]]
img.r.mat <- matrix(img$r, ncol=32, byrow = TRUE)
img.g.mat <- matrix(img$g, ncol=32, byrow = TRUE)
img.b.mat <- matrix(img$b, ncol=32, byrow = TRUE)
img.col.mat <- rgb(img.r.mat, img.g.mat, img.b.mat, maxColorValue = 255)
dim(img.col.mat) <- dim(img.r.mat)
# Plot and output label
library(grid)
grid.raster(img.col.mat, interpolate=FALSE)
# clean up
remove(img, img.r.mat, img.g.mat, img.b.mat, img.col.mat)
labels[[1]][images.lab[[index]]]
}
drawImage(sample(1:(num.images*5), size=1))