def object_rec_parse_url(self, objects=None, unique=True):
"""
Args:
objects: List of objects to return (if None then return all)
Returns:
Iterator of (image_url, objects), where
objects is a list of {'class': class_name, 'xy': np_array}
"""
objects = set(objects)
prev_urls = set()
for fn in glob.glob(self.dataset_path + 'Annotations/*.xml'):
try:
image_fn, folder, cur_objects = vision_data.parse_voc_xml(fn)
cur_objects = [x for x in cur_objects if x['class'] in objects]
except:
logging.warning('Cannot parse [%s]' % fn)
else:
if cur_objects:
if (folder, image_fn) in prev_urls:
print('Duplicate Annotation: http://labelme.csail.mit.edu/Images/%s/%s' % (folder, image_fn))
continue
prev_urls.add((folder, image_fn))
print('http://labelme.csail.mit.edu/Images/%s/%s' % (folder, image_fn))
yield 'http://labelme.csail.mit.edu/Images/%s/%s' % (folder, image_fn), cur_objects
def _parse_xml_all(self):
data = {}
for folder_path in glob.glob(self.dataset_path + 'Annotations/*'):
if os.path.basename(folder_path) not in ('out_of_context',
'static_sun09_database'):
continue
image_path = self.dataset_path + 'Images/%s/' % os.path.basename(
folder_path)
for filename_path in glob.glob(folder_path + '/*'):
try:
filename, folder, objs = vision_data.parse_voc_xml(
filename_path)
except Exception as e:
print(e)
print('Parse Error: %s' % filename_path)
continue
assert os.path.basename(folder_path) == folder
data.setdefault(folder, {})[image_path + filename] = objs
static_data = {}
for object_path in glob.glob('%s/Annotations/static_sun_objects/*' %
(self.dataset_path)):
image_path = self.dataset_path + 'Images/static_sun_objects/'
try:
filename, folder, objs = self._parse_xml(filename_path)
except Exception as e:
print(e)
print('Parse Error: %s' % filename_path)
continue
object_name = os.path.basename(object_path)
static_data.setdefault(object_name, []).append(objs)
return static_data, data['out_of_context'], data[
'static_sun09_database']
def object_rec_parse_url(self, objects=None, unique=True):
"""
Args:
objects: List of objects to return (if None then return all)
Returns:
Iterator of (image_url, objects), where
objects is a list of {'class': class_name, 'xy': np_array}
"""
objects = set(objects)
prev_urls = set()
for fn in glob.glob(self.dataset_path + 'Annotations/*.xml'):
try:
image_fn, folder, cur_objects = vision_data.parse_voc_xml(fn)
cur_objects = [x for x in cur_objects if x['class'] in objects]
except:
logging.warning('Cannot parse [%s]' % fn)
else:
if cur_objects:
if (folder, image_fn) in prev_urls:
print(
'Duplicate Annotation: http://labelme.csail.mit.edu/Images/%s/%s'
% (folder, image_fn))
continue
prev_urls.add((folder, image_fn))
print('http://labelme.csail.mit.edu/Images/%s/%s' %
(folder, image_fn))
yield 'http://labelme.csail.mit.edu/Images/%s/%s' % (
folder, image_fn), cur_objects
def _parse_xml_all(self):
data = {}
for folder_path in glob.glob(self.dataset_path + 'Annotations/*'):
if os.path.basename(folder_path) not in ('out_of_context',
'static_sun09_database'):
continue
image_path = self.dataset_path + 'Images/%s/' % os.path.basename(folder_path)
for filename_path in glob.glob(folder_path + '/*'):
try:
filename, folder, objs = vision_data.parse_voc_xml(filename_path)
except Exception, e:
print(e)
print('Parse Error: %s' % filename_path)
continue
assert os.path.basename(folder_path) == folder
data.setdefault(folder, {})[image_path + filename] = objs
