def __call__(self, classifier, k = 0, protectRare = True,
rareThreshold = 3):
editedClassifier = _copyClassifier(classifier, k)
toBeRemoved = set()
progress = ProgressFactory("Generating edited MNN classifier...",
len(classifier.get_glyphs()))
# classify each glyph with its leave-one-out classifier
for i, glyph in enumerate(classifier.get_glyphs()):
editedClassifier.get_glyphs().remove(glyph)
detectedClass = _getMainId(\
editedClassifier.guess_glyph_automatic(glyph))
# check if recognized class complies with the true class
if glyph.get_main_id() != detectedClass:
toBeRemoved.add(glyph)
editedClassifier.get_glyphs().add(glyph)
progress.step()
rareClasses = self._getRareClasses(classifier.get_glyphs(),
protectRare, rareThreshold)
# remove 'bad' glyphs, if they are not in a rare class
for glyph in toBeRemoved:
if glyph.get_main_id() in rareClasses:
continue
editedClassifier.get_glyphs().remove(glyph)
progress.kill()
return editedClassifier
def __call__(self, classifier, k=0, protectRare=True, rareThreshold=3):
editedClassifier = _copyClassifier(classifier, k)
toBeRemoved = set()
progress = ProgressFactory("Generating edited MNN classifier...",
len(classifier.get_glyphs()))
# classify each glyph with its leave-one-out classifier
for i, glyph in enumerate(classifier.get_glyphs()):
editedClassifier.get_glyphs().remove(glyph)
detectedClass = _getMainId(\
editedClassifier.guess_glyph_automatic(glyph))
# check if recognized class complies with the true class
if glyph.get_main_id() != detectedClass:
toBeRemoved.add(glyph)
editedClassifier.get_glyphs().add(glyph)
progress.step()
rareClasses = self._getRareClasses(classifier.get_glyphs(),
protectRare, rareThreshold)
# remove 'bad' glyphs, if they are not in a rare class
for glyph in toBeRemoved:
if glyph.get_main_id() in rareClasses:
continue
editedClassifier.get_glyphs().remove(glyph)
progress.kill()
return editedClassifier
def __call__(self, classifier, k=0, randomize=True):
# special case of empty classifier
if (not classifier.get_glyphs()):
return _copyClassifier(classifier)
if k == 0:
k = classifier.num_k
progress = ProgressFactory("Generating edited CNN classifier...",
len(classifier.get_glyphs()))
# initialize Store (a) with a single element
if randomize:
elem = _randomSetElement(classifier.get_glyphs())
else:
elem = classifier.get_glyphs().__iter__().next()
aGlyphs = [elem]
a = kNNInteractive(aGlyphs, classifier.features,
classifier._perform_splits, k)
progress.step()
# initialize Grabbag (b) with all other
b = classifier.get_glyphs().copy()
b.remove(aGlyphs[0])
# Classify each glyph in b with a as the classifier
# If glyph is misclassified, add it to a, repeat until no elements are
# added to a
changed = True
while changed == True:
changed = False
# copy needed because iteration through dict is not possible while
# deleting items from it
copyOfB = b.copy()
for glyph in copyOfB:
if glyph.get_main_id() != _getMainId(
a.guess_glyph_automatic(glyph)):
b.remove(glyph)
a.get_glyphs().add(glyph)
progress.step()
changed = True
progress.kill()
a.num_k = 1
return a
def __call__(self, classifier, k = 0, randomize = True):
# special case of empty classifier
if (not classifier.get_glyphs()):
return _copyClassifier(classifier)
if k == 0:
k = classifier.num_k
progress = ProgressFactory("Generating edited CNN classifier...",
len(classifier.get_glyphs()))
# initialize Store (a) with a single element
if randomize:
elem = _randomSetElement(classifier.get_glyphs())
else:
elem = classifier.get_glyphs().__iter__().next()
aGlyphs = [elem]
a = kNNInteractive(aGlyphs, classifier.features,
classifier._perform_splits, k)
progress.step()
# initialize Grabbag (b) with all other
b = classifier.get_glyphs().copy()
b.remove(aGlyphs[0]);
# Classify each glyph in b with a as the classifier
# If glyph is misclassified, add it to a, repeat until no elements are
# added to a
changed = True
while changed == True:
changed = False
# copy needed because iteration through dict is not possible while
# deleting items from it
copyOfB = b.copy()
for glyph in copyOfB:
if glyph.get_main_id() != _getMainId(a.guess_glyph_automatic(glyph)):
b.remove(glyph)
a.get_glyphs().add(glyph)
progress.step()
changed = True
progress.kill()
a.num_k = 1
return a
