def get_batch(self):
# slice roidb
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)]
# decide multi device slices
work_load_list = self.work_load_list
ctx = self.ctx
if work_load_list is None:
work_load_list = [1] * len(ctx)
assert isinstance(work_load_list, list) and len(work_load_list) == len(ctx), \
"Invalid settings for work load. "
slices = _split_input_slice(self.batch_size, work_load_list)
im_array_list = []
levels_data_list = []
for islice in slices:
iroidb = [roidb[i] for i in range(islice.start, islice.stop)]
im_array, levels_data = get_fpn_maskrcnn_batch(iroidb)
im_array_list.append(im_array)
levels_data_list.append(levels_data)
if not config.USE_AFP:
all_data, all_label = self._make_data_and_labels(im_array_list, levels_data_list)
else:
all_data, all_label = self._make_data_and_labels_afp(im_array_list, levels_data_list)
self.data = [mx.nd.array(all_data[name]) for name in self.data_name]
self.label = [mx.nd.array(all_label[name]) for name in self.label_name]
def get_batch(self):
# slice roidb
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)]
# decide multi device slices
work_load_list = self.work_load_list
ctx = self.ctx
if work_load_list is None:
work_load_list = [1] * len(ctx)
assert isinstance(work_load_list, list) and len(work_load_list) == len(ctx), \
"Invalid settings for work load. "
slices = _split_input_slice(self.batch_size, work_load_list)
im_array_list = []
levels_data_list = []
for islice in slices:
iroidb = [roidb[i] for i in range(islice.start, islice.stop)]
im_array, levels_data = get_fpn_maskrcnn_batch(iroidb)
im_array_list.append(im_array)
levels_data_list.append(levels_data)
all_data, all_label = self._make_data_and_labels(im_array_list, levels_data_list)
self.data = [mx.nd.array(all_data[name]) for name in self.data_name]
self.label = [mx.nd.array(all_label[name]) for name in self.label_name]