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index.py
39 lines (31 loc) · 1.15 KB
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index.py
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# USAGE
# python index.py --dataset dataset --index index.csv
# import the necessary packages
from colordescriptor import ColorDescriptor
import argparse
import glob
import cv2
# construct the argument parser and parse the arguments
ap = argparse.ArgumentParser()
ap.add_argument("-d", "--dataset", required = True,
help = "Path to the directory that contains the images to be indexed")
ap.add_argument("-i", "--index", required = True,
help = "Path to where the computed index will be stored")
args = vars(ap.parse_args())
# initialize the color descriptor
cd = ColorDescriptor((4, 8, 2))
# open the output index file for writing
output = open(args["index"], "w")
# use glob to grab the image paths and loop over them
for imagePath in glob.glob(args["dataset"] + "/*.jpg"):
# extract the image ID (i.e. the unique filename) from the image
# path and load the image itself
imageID = imagePath[imagePath.rfind("/") + 1:]
image = cv2.imread(imagePath)
# describe the image
features = cd.describe(image)
# write the features to file
features = [str(f) for f in features]
output.write("%s,%s\n" % (imageID, ",".join(features)))
# close the index file
output.close()