Python write_out_vlad_matrix_libsvm_format Examples

Example #1

import sys
import argparse
import re
import os

from numpy import array, zeros, mean, std, sort, add, subtract, divide, dot, sqrt
from numpy import linalg as la
from scipy.cluster.vq import vq, kmeans, whiten

import vlad

parser = argparse.ArgumentParser(
    description='K-means clustering util for image feature processing.')
parser.add_argument('-d', help='The directory of vlad feature files.')
parser.add_argument('-c', help='The apc clustering result file.')
parser.add_argument('-o', help='The output file.')
parser.add_argument('-t', help='The threshold for cluster size, optionally.')

args = parser.parse_args()

photos = vlad.list_files(args.d)
clusters = vlad.load_clustering(args.c)
for idx, cluster in enumerate(clusters):
    if args.t == None or len(cluster['member']) >= int(args.t):
        vlad.write_out_vlad_matrix_libsvm_format(
            photos, args.o + ".cluster." + str(idx), cluster)

Example #2

parser.add_argument('-d', help='The directory of vlad feature files.')
parser.add_argument('-o', help='The output file.')
parser.add_argument('-s', help='The number of samples, optionally.')
parser.add_argument('-f', help='The output format, optionally.')
parser.add_argument('-l', help='The data label, optionally.')

args = parser.parse_args()

photos = vlad.list_files(args.d)

data_label = ''
if args.l != None:
    data_label = args.l

if args.s == None:
    if args.f == None:
        vlad.write_out_vlad_matrix(photos, args.o)
    elif args.f == "libsvm":
        vlad.write_out_vlad_matrix_libsvm_format(photos,
                                                 args.o,
                                                 label=data_label)
else:
    sampled_sets = vlad.random_sample_photos(photos, int(args.s))
    for idx, photo_set in enumerate(sampled_sets):
        if args.f == None:
            vlad.write_out_vlad_matrix(photo_set, args.o + "." + str(idx))
        elif args.f == "libsvm":
            vlad.write_out_vlad_matrix_libsvm_format(photo_set,
                                                     args.o + "." + str(idx),
                                                     label=data_label)

Example #3

File: vlad_data_matrix_for_clusters.py Project: Jency/flickr_fetcher

import sys
import argparse
import re
import os

from numpy import array, zeros, mean, std, sort, add, subtract, divide, dot, sqrt
from numpy import linalg as la
from scipy.cluster.vq import vq, kmeans, whiten

import vlad

parser = argparse.ArgumentParser(description = 'K-means clustering util for image feature processing.')
parser.add_argument('-d', help = 'The directory of vlad feature files.')
parser.add_argument('-c', help = 'The apc clustering result file.')
parser.add_argument('-o', help = 'The output file.')
parser.add_argument('-t', help = 'The threshold for cluster size, optionally.')
 
args = parser.parse_args()


photos = vlad.list_files(args.d)
clusters = vlad.load_clustering(args.c)
for idx, cluster in enumerate(clusters):
    if args.t == None or len(cluster['member']) >= int(args.t): 
        vlad.write_out_vlad_matrix_libsvm_format(photos, args.o + ".cluster." + str(idx), cluster)

Example #4

File: vlad_data_matrix.py Project: Jency/flickr_fetcher

parser.add_argument('-d', help = 'The directory of vlad feature files.')
parser.add_argument('-o', help = 'The output file.')
parser.add_argument('-s', help = 'The number of samples, optionally.')
parser.add_argument('-f', help = 'The output format, optionally.')
parser.add_argument('-l', help = 'The data label, optionally.')
 
args = parser.parse_args()

photos = vlad.list_files(args.d)

data_label = ''
if args.l != None:
    data_label = args.l    

if args.s == None:
    if args.f == None:
        vlad.write_out_vlad_matrix(photos, args.o)
    elif args.f == "libsvm":
        vlad.write_out_vlad_matrix_libsvm_format(photos, args.o, label = data_label)
else:
    sampled_sets = vlad.random_sample_photos(photos, int(args.s))
    for idx, photo_set in enumerate(sampled_sets):
        if args.f == None:    
            vlad.write_out_vlad_matrix(photo_set, args.o + "." + str(idx))
        elif args.f == "libsvm":
            vlad.write_out_vlad_matrix_libsvm_format(photo_set, args.o + "." + str(idx), label = data_label)