mask2former/utils/misc.py (2 lines):
	- line 49: # TODO make this more general
	- line 56: # TODO make it support different-sized images


mask2former/data/dataset_mappers/coco_instance_new_baseline_dataset_mapper.py (1 line):
	- line 133: # TODO: get padding mask


mask2former_video/data_video/dataset_mapper.py (1 line):
	- line 184: # TODO consider examining below deepcopy as it costs huge amount of computations.


mask2former/data/datasets/register_ade20k_panoptic.py (1 line):
	- line 247: # TODO: currently we assume image and label has the same filename but


mask2former/data/datasets/register_mapillary_vistas_panoptic.py (1 line):
	- line 368: # TODO: currently we assume image and label has the same filename but


mask2former/modeling/criterion.py (1 line):
	- line 151: # TODO use valid to mask invalid areas due to padding in loss


mask2former/modeling/transformer_decoder/maskformer_transformer_decoder.py (1 line):
	- line 153: # FIXME h_boxes takes the last one computed, keep this in mind


mask2former/data/datasets/register_coco_panoptic_annos_semseg.py (1 line):
	- line 105: # TODO: currently we assume image and label has the same filename but


mask2former_video/data_video/build.py (1 line):
	- line 141: # TODO can allow dataset as an iterable or IterableDataset to make this function more general