def createSignature(self, a, b):
s = Signatures()
s.names = ['ft [0]', 'ft [1]']
s.values = [a, b]
s.source_file = '%s %s' % (a, b)
s.version = self.feature_vector_version
return s
def createSignature(self, a, b):
s = Signatures()
s.names = ["ft [0]", "ft [1]"]
s.values = [a, b]
s.source_file = "%s %s" % (a, b)
s.version = self.feature_vector_version
return s
def createSignature(self, a, b):
s = Signatures()
s.names = ['ft [0]', 'ft [1]']
s.values = [a, b]
s.source_file = '%s %s' % (a, b)
s.version = self.feature_vector_version
return s
def test_reduceFeatures(self):
ftnames = ["c", "b"]
s = Signatures()
s.names = ["a", "b", "c"]
s.values = [1.0, 2.0, 3.0]
s.source_file = ""
s1 = s.FeatureReduce(ftnames)
self.assertEqual(s1.names, ftnames)
self.assertAlmostEqual(s1.values, [3.0, 2.0])
def test_reduceFeatures(self):
ftnames = ['c', 'b']
s = Signatures()
s.names = ['a', 'b', 'c']
s.values = [1.0, 2.0, 3.0]
s.source_file = ''
s1 = s.FeatureReduce(ftnames)
self.assertEqual(s1.names, ftnames)
self.assertAlmostEqual(s1.values, [3.0, 2.0])
def test_reduceFeatures(self):
ftnames = ['c', 'b']
s = Signatures()
s.names = ['a', 'b', 'c']
s.values = [1.0, 2.0, 3.0]
s.source_file = ''
s1 = s.FeatureReduce(ftnames)
self.assertEqual(s1.names, ftnames)
self.assertAlmostEqual(s1.values, [3.0, 2.0])
def addToFeatureSet(ftb, ds, fts, classId, imagesOnly):
message = ''
tid = WndcharmStorage.getAttachedTableFile(ftb.tc, ds)
if tid:
if not ftb.openTable(tid):
return message + '\nERROR: Table not opened'
version = unwrap(ftb.versiontag.getTextValue())
message += 'Opened table id:%d version:%s\n' % (tid, version)
else:
message += 'ERROR: Table not found for Dataset id:%d' % ds.getId()
return message
if imagesOnly:
for image in ds.listChildren():
imId = image.getId()
message += '\tProcessing features for image id:%d\n' % imId
sig = Signatures()
(sig.names, sig.values) = ftb.loadFeatures(imId)
sig.source_file = str(imId)
sig.version = version
fts.AddSignature(sig, classId)
else:
names, values, ids = ftb.bulkLoadFeatures()
message += '\tProcessing all features for dataset id:%d\n' % ds.getId()
for imId, vals in izip(ids, values):
sig = Signatures()
sig.names = names
sig.values = vals
sig.source_file = str(imId)
sig.version = version
fts.AddSignature(sig, classId)
fts.classnames_list[classId] = ds.getName()
return message
