def __init__(self,
batch_size,
subset='kptest',
feat_type='res5c',
version='v1',
use_fb_data=False):
self._batch_size = batch_size
self._num_top_ans = 2000
self._subset = subset
self._images = None
self._quest_len = None
self._quest_ids = None
self._quest = None
self._mask = None
self._answer = None
self._num = None
self._valid_ids = None
self._vqa_image_ids = None
self.use_fb_data = use_fb_data
self._version_suffix = 'v2_' if version == 'v2' else ''
self._load_data()
self._feat_type = feat_type.lower()
self._FEAT_ROOT = get_feature_root(self._subset, self._feat_type)
self._transpose_feat = self._feat_type == 'res5c'
#
self._idx = 0
self._index = np.arange(self._num)
self._is_test = True
def __init__(self,
output_queue,
proc_id,
batch_size=32,
subset='trainval',
feat_type='res5c',
version_suffix='',
delta=0.2):
super(AttentionDataPrefetcher, self).__init__()
self._batch_size = batch_size
self._proc_id = proc_id
self._num_top_ans = 2000
self._queue = output_queue
self._version_suffix = version_suffix
self._subset = subset
self._delta = delta
self._images = None
self._quest_len = None
self._quest = None
self._answer = None
self.quest_index2counter_index = None
self._num = None
self._valid_ids = None
self._load_data()
self._feat_type = feat_type.lower()
self._FEAT_ROOT = get_feature_root(self._subset, self._feat_type)
self._transpose_feat = 'res5c' in self._feat_type
def __init__(self, subset='kprestval'):
self._subset = subset
self._FEAT_ROOT = get_feature_root(self._subset, 'res5c')
self._load_data()
