def iteritems(self, every_k_frames=1, verbose=False):
for key, frames in progressbar(self.data.iteritems(),
size=len(self.data),
verbose=verbose):
print 'Processing: %s' % key
for frame in frames.iteritems(every_k_frames=every_k_frames):
yield frame
def iterchunks(self, key, batch_size=10, verbose=False):
if key not in self.keys:
raise RuntimeError('Key %s not found in dataset. keys: %s' %
(key, self.keys))
chunks = grouper(self.itervalues_for_key(key), batch_size)
for chunk in progressbar(chunks,
size=self.length(key) / batch_size,
verbose=verbose):
yield chunk
def iterscenes(self,
targets=None,
blacklist=None,
verbose=False,
with_ground_truth=False):
for key in progressbar(self.dataset_.iterkeys(),
size=len(self.dataset_),
verbose=verbose):
# Optionally only iterate over targets, and avoid blacklist
if (targets is not None and key not in targets) or \
(blacklist is not None and key in blacklist):
continue
yield key, self.scene(key, with_ground_truth=with_ground_truth)
def iteritems(self,
every_k_frames=1,
verbose=False,
with_ground_truth=False):
print 'Scenes: %i %s, With GT: {}' % (len(
self.scenes()), self.scenes(), with_ground_truth)
for key, scene in progressbar(self.iterscenes(
verbose=verbose, with_ground_truth=with_ground_truth),
size=len(self.scenes()),
verbose=verbose):
for frame in scene.iteritems(every_k_frames=every_k_frames):
yield frame
def iter_keys_values(self, keys, inds=None, verbose=False):
for key in keys:
if key not in self.keys_:
raise RuntimeError('Key %s not found in dataset. keys: %s' %
(key, self.keys_))
idx, ii = 0, 0
total_chunks = len(self.meta_file_.chunks)
inds = np.sort(inds) if inds is not None else None
for chunk_idx, chunk in enumerate(
progressbar(self.meta_file_.chunks,
size=total_chunks,
verbose=verbose)):
data = AttrDict.load(self.get_chunk_filename(chunk_idx))
# if inds is None:
items = (data[key] for key in keys)
for item in izip(*items):
yield item
def iterchunks(self, key, batch_size=10, verbose=False):
if key not in self.keys_:
raise RuntimeError(
'Key %s not found in dataset. keys: %s' % (key, self.keys_))
idx, ii = 0, 0
total_chunks = len(self.meta_file_.chunks)
batch_chunks = chunks(range(len(self.meta_file_.chunks)), batch_size)
for chunk_group in progressbar(batch_chunks, size=total_chunks / batch_size, verbose=verbose):
items = []
# print key, chunk_group
for chunk_idx in chunk_group:
# grouper will fill chunks with default none values
if chunk_idx is None:
continue
# Load chunk
data = AttrDict.load(self.get_chunk_filename(chunk_idx))
for item in data[key]:
items.append(item)
yield items
def itervalues(self, key, inds=None, verbose=False):
if key not in self.keys_:
raise RuntimeError('Key %s not found in dataset. keys: %s' %
(key, self.keys_))
idx, ii, done = 0, 0, False
total_chunks = len(self.meta_file_.chunks)
if inds is not None:
import warnings
warnings.warn(
'{}::itervalues indices provided must be sorted'.format(
self.__class__.__name__))
inds = np.sort(inds)
for chunk_idx, chunk in enumerate(
progressbar(self.meta_file_.chunks,
size=total_chunks,
verbose=verbose)):
data = AttrDict.load(self.get_chunk_filename(chunk_idx))
if inds is None:
for item in data[key]:
yield item
idx += 1
else:
for i, item in enumerate(data[key]):
if ii >= len(inds):
done = True
break
if idx == inds[ii]:
# print i, ii, idx
yield item
ii += 1
idx += 1
if done: break
