Пример #1
0
# importing the needed bindings
from descriptor import DescribeTexture
from descriptor import DescribeColor
from descriptor import ColorTree
from ranker import Ranker
import shutil
import argparse
import copy
import cv2
import os

# instantiating the classes for color, texture and tree description
cdes = DescribeColor((16, 32, 1))
txdes = DescribeTexture()
tdes = ColorTree([6])

# building the argument parser and parse the command line arguments
argprse = argparse.ArgumentParser()
argprse.add_argument("-d", "--dataset", required = True,
	help = "FilePath to the folder that has target images to be indexed")
argprse.add_argument("-c", "--hsv", required = True,
	help = "File Path where the computed hsv index is saved")
argprse.add_argument("-t", "--texture", required = True,
	help = "File Path where the computed texture index is saved")
argprse.add_argument("-b", "--btree", required = True,
	help = "File Path where the computed tree index is saved")
argprse.add_argument("-q", "--query", required = True,
	help = "File Path to the query image")
argmnts = vars(argprse.parse_args())

# loading the query image and describing its color, texture and tree features
Пример #2
0
# importing the needed bindings
from descriptor import DescribeColor
from descriptor import DescribeTexture
from descriptor import ColorTree
import cv2
import argparse
import glob

# instantiating the classes for color, texture and tree description
cdes = DescribeColor((16, 32, 1))
txdes = DescribeTexture()
tdes = ColorTree([6])

# building the argument parser and parse the command line arguments
argprse = argparse.ArgumentParser()
argprse.add_argument(
    "-d",
    "--dataset",
    required=True,
    help="FilePath to the folder that has target images to be indexed")
argprse.add_argument(
    "-c",
    "--hsv",
    required=True,
    help="FilePath where the computed hsv index is to be saved")
argprse.add_argument(
    "-t",
    "--texture",
    required=True,
    help="FilePath where the computed texture index is to be saved")
argprse.add_argument(
Пример #3
0
# importing the needed bindings
from descriptor import DescribeTexture
from descriptor import DescribeColor
from descriptor import ColorTree
from ranker import Ranker
import shutil
import argparse
import copy
import cv2
import os

# instantiating the classes for color, texture and tree description
cdes = DescribeColor((16, 32, 1))
txdes = DescribeTexture()
tdes = ColorTree([6])

# building the argument parser and parse the command line arguments
argprse = argparse.ArgumentParser()
argprse.add_argument(
    "-d",
    "--dataset",
    required=True,
    help="FilePath to the folder that has target images to be indexed")
argprse.add_argument("-c",
                     "--hsv",
                     required=True,
                     help="File Path where the computed hsv index is saved")
argprse.add_argument(
    "-t",
    "--texture",
    required=True,
Пример #4
0
# importing the needed bindings
from descriptor import DescribeColor
from descriptor import DescribeTexture
from descriptor import ColorTree
import cv2
import argparse
import glob

# instantiating the classes for color, texture and tree description
cdes = DescribeColor((16, 32, 1))
txdes = DescribeTexture()
tdes = ColorTree([6])

# building the argument parser and parse the command line arguments
argprse = argparse.ArgumentParser()
argprse.add_argument("-d", "--dataset", required = True,
	help = "FilePath to the folder that has target images to be indexed")
argprse.add_argument("-c", "--hsv", required = True,
	help = "FilePath where the computed hsv index is to be saved")
argprse.add_argument("-t", "--texture", required = True,
	help = "FilePath where the computed texture index is to be saved")
argprse.add_argument("-b", "--btree", required = True,
	help = "FilePath where the computed tree index is to be saved")
argmnts = vars(argprse.parse_args())
 
# opening the respective output index files in write mode
clroutput = open(argmnts["hsv"], "w")
treeoutput = open(argmnts["btree"], "w")
texoutput = open(argmnts["texture"], "w")
 
# using glob to capture the paths of the images and iterate through them