MatchboxLib.clearDirectory(args['dir'])
if len(args['featdir']) > 0:
MatchboxLib.clearDirectory(args['featdir'])
exit()
# ===============================================================================
# action: extract
# ===============================================================================
#
# extract all relevant features for the duplicate detection task
#
if (args['action'] == 'extract') or (args['action'] == 'all'):
print "\n=== extracting features from directory {0} ===\n".format(args['dir'])
MatchboxLib.extractFeatures(config, args['dir'], args['sdk'],args['threads'], args['clahe'], args['featdir'], "SIFTComparison",args['downsample'])
# ===============================================================================
# action: train
# ===============================================================================
#
# calculate the bag of words based on the extracted features
#
if (args['action'] == 'train') or (args['action'] == 'all'):
print "\n=== calculating Visual Bag of Words ===\n"
dir = args['dir']
if len(args['featdir']) > 0:
dir = args['featdir']
MatchboxLib.clearDirectory(feature_directory, args['verbose'])
# ===============================================================================
# action: extract
# ===============================================================================
#
# extract all relevant features for the duplicate detection task
#
if (args['action'] == 'extract') or (args['action'] == 'all'):
print "\n=== extracting features from directory {0} ===\n".format(
collection_directory)
MatchboxLib.extractFeatures(config, collection_directory, args['sdk'],
args['threads'], args['clahe'],
feature_directory, "SIFTComparison",
args['downsample'], args['verbose'],
args['binary'], args['binaryonly'],
args['update'])
# ===============================================================================
# action: train
# ===============================================================================
#
# calculate the bag of words based on the extracted features
#
if (args['action'] == 'train') or (args['action'] == 'all'):
print "\n=== calculating Visual Bag of Words ===\n"
MatchboxLib.calculateBoW(config, feature_directory,
".SIFTComparison.feat.xml.gz",
# create dirs for collection 2
print "... feature directory: {0}/col2".format(args['featdir'])
if not os.path.exists("{0}/col2".format(args['featdir'])):
feat_dir2 = "{0}/col2".format(args['featdir'])
os.makedirs(feat_dir2)
else:
feat_dir1 = args['dir1']
feat_dir2 = args['dir2']
# extract features
# extract features for collection 1
print "\n=== extracting features from directory {0} ===\n".format(args['dir1'])
MatchboxLib.extractFeatures(config, args['dir1'], args['sdk'],args['threads'], args['clahe'], feat_dir1, "SIFTComparison")
# extract features for collection 2
print "\n=== extracting features from directory {0} ===\n".format(args['dir2'])
MatchboxLib.extractFeatures(config, args['dir2'], args['sdk'],args['threads'], args['clahe'], feat_dir2, "SIFTComparison")
print "\n=== calculating Bag of Words ===\n".format(args['dir2'])
if not os.path.exists("{0}/bow.xml".format(feat_dir1)):
MatchboxLib.calculateBoW(config, feat_dir1, args['filter'], args['precluster'])
print "\n=== Searching for referencing images in both collections ===\n"
print "... extract BoW Histograms of collection2"
MatchboxLib.extractBoWHistograms(config,args['dir1'], args['threads'], feat_dir1, "{0}/bow.xml".format(feat_dir1))
MatchboxLib.extractBoWHistograms(config,args['dir2'], args['threads'], feat_dir2, "{0}/bow.xml".format(feat_dir1))
# ===============================================================================
# action: extract
# ===============================================================================
#
# extract all relevant features for the duplicate detection task
#
if (args['action'] == 'extract') or (args['action'] == 'all'):
print "\n=== extracting features from directory {0} ===\n".format(collection_directory)
MatchboxLib.extractFeatures(config,
collection_directory,
args['sdk'],
args['threads'],
args['clahe'],
feature_directory,
"SIFTComparison",
args['downsample'],
args['verbose'],
args['binary'],
args['binaryonly'],
args['update'])
# ===============================================================================
# action: train
# ===============================================================================
#
# calculate the bag of words based on the extracted features
#
if (args['action'] == 'train') or (args['action'] == 'all'):
print "\n=== calculating Visual Bag of Words ===\n"
print "... feature directory: {0}/col2".format(args["featdir"])
if not os.path.exists("{0}/col2".format(args["featdir"])):
feat_dir2 = "{0}/col2".format(args["featdir"])
os.makedirs(feat_dir2)
else:
feat_dir1 = args["dir1"]
feat_dir2 = args["dir2"]
# extract features
# extract features for collection 1
print "\n=== extracting features from directory {0} ===\n".format(args["dir1"])
MatchboxLib.extractFeatures(
config, args["dir1"], args["sdk"], args["threads"], args["clahe"], feat_dir1, "SIFTComparison"
)
# extract features for collection 2
print "\n=== extracting features from directory {0} ===\n".format(args["dir2"])
MatchboxLib.extractFeatures(
config, args["dir2"], args["sdk"], args["threads"], args["clahe"], feat_dir2, "SIFTComparison"
)
print "\n=== calculating Bag of Words ===\n".format(args["dir2"])
if not os.path.exists("{0}/bow.xml".format(feat_dir1)):
MatchboxLib.calculateBoW(config, feat_dir1, args["filter"], args["precluster"])
print "\n=== Searching for referencing images in both collections ===\n"
print "... extract BoW Histograms of collection2"