def get_batch_individual(self):
cur_from = self.cur
cur_to = min(cur_from + self.batch_size, self.size)
roidb = [self.roidb[self.index[i]] for i in range(cur_from, cur_to)]
if self.has_rpn:
data, label, im_info = get_rpn_testbatch(roidb, self.cfg)
else:
data, label, im_info = get_rcnn_testbatch(roidb, self.cfg)
self.data = [mx.nd.array(data[name]) for name in self.data_name]
self.im_info = im_info
def get_batch(self):
cur_from = self.cur
cur_to = min(cur_from + self.batch_size, self.size)
roidb = [self.roidb[self.index[i]] for i in range(cur_from, cur_to)]
if self.has_rpn:
data, label, im_info = get_rpn_testbatch(roidb, self.cfg)
else:
data, label, im_info = get_rcnn_testbatch(roidb, self.cfg)
self.data = [[mx.nd.array(idata[name]) for name in self.data_name] for idata in data]
self.im_info = im_info
def get_batch(self):
cur_from = self.cur
cur_to = min(cur_from + self.batch_size, self.size)
roidb = [self.roidb[self.index[i]] for i in range(cur_from, cur_to)]
if self.has_rpn:
data, label, im_info = get_rpn_testbatch(roidb, self.cfg)
else:
data, label, im_info = get_rcnn_testbatch(roidb, self.cfg)
#self.data = [mx.nd.array(np.concatenate([d[name] for d in data], axis=0)) for name in self.data_name]
self.data = [[mx.nd.array(idata[name]) for name in self.data_name] for idata in data]
self.im_info = im_info
def get_batch_individual(self, cur_from=None):
if cur_from is None:
cur_from = self.cur
cur_to = min(cur_from + self.batch_size, self.size)
roidb = [self.roidb[self.index[i]] for i in range(cur_from, cur_to)]
if self.has_rpn:
data, label, im_info = get_rpn_testbatch(roidb, self.cfg)
else:
data, label, im_info = get_rcnn_testbatch(roidb, self.cfg)
self.lock_data.acquire()
self.data = [mx.nd.array(data[name]) for name in self.data_name]
self.im_info = im_info
self.lock_data.release()
return data, im_info
