src/MaskRCNNDetection/maskrcnn_benchmark/data/datasets/evaluation/coco/coco_eval.py (5 lines):
	- line 75: # TODO replace with get_img_info?
	- line 113: # TODO replace with get_img_info?
	- line 193: # TODO replace with get_img_info?
	- line 199: # TODO maybe remove this and make it explicit in the documentation
	- line 334: # TODO make it pretty


src/archive/AccuracyAssessment/validateColor.py (3 lines):
	- line 76: # TODO: need to consider method to macth the spots when number of rows are different in result and ground truth
	- line 90: # TODO: updated caculation method when ground truth includes "Anormaly"
	- line 95: # TODO: need to consider method to macth the spots when number of rows are different in result and ground truth


src/MaskRCNNDetection/maskrcnn_benchmark/csrc/cuda/ROIPool_cuda.cu (3 lines):
	- line 10: // TODO make it in a common file
	- line 155: // TODO remove the dependency on input and use instead its sizes -> save memory
	- line 169: // TODO add more checks


src/MaskRCNNDetection/maskrcnn_benchmark/modeling/box_coder.py (2 lines):
	- line 32: TO_REMOVE = 1  # TODO remove
	- line 64: TO_REMOVE = 1  # TODO remove


src/MaskRCNNDetection/maskrcnn_benchmark/structures/segmentation_mask.py (2 lines):
	- line 95: # TODO chck if necessary
	- line 134: # TODO add squeeze?


src/SealDetectionRCNN/model/region_proposal_network.py (2 lines):
	- line 146: # !TODO: add support for torch.CudaTensor
	- line 173: # !TODO: add support for torch.CudaTensor


src/MaskRCNNDetection/maskrcnn_benchmark/structures/boxlist_ops.py (2 lines):
	- line 42: # TODO maybe add an API for querying the ws / hs
	- line 91: # TODO redundant, remove


src/archive/AccuracyAssessment/validateThermal.py (2 lines):
	- line 86: # TODO: need to consider method to macth the spots when number of rows are different in result and ground truth
	- line 101: # TODO: updated caculation method when ground truth includes 'Anormaly'


src/SealDetectionRCNN/model/utils/creator_tool.py (2 lines):
	- line 293: # unTODO: make sure it's ok
	- line 423: # TODO: remove cuda.to_gpu


src/MaskRCNNDetection/maskrcnn_benchmark/modeling/roi_heads/mask_head/inference.py (2 lines):
	- line 10: # TODO check if want to return a single BoxList or a composite
	- line 187: # TODO:  Is this JIT compatible?


src/MaskRCNNDetection/maskrcnn_benchmark/csrc/cuda/nms.cu (2 lines):
	- line 83: THCState *state = at::globalContext().lazyInitCUDA(); // TODO replace with getTHCState
	- line 126: // TODO improve this part


src/MaskRCNNDetection/maskrcnn_benchmark/csrc/cuda/ROIAlign_cuda.cu (2 lines):
	- line 9: // TODO make it in a common file
	- line 301: // TODO remove the dependency on input and use instead its sizes -> save memory


src/MaskRCNNDetection/maskrcnn_benchmark/modeling/backbone/fpn.py (1 line):
	- line 59: # TODO use size instead of scale to make it robust to different sizes


src/MaskRCNNDetection/maskrcnn_benchmark/data/datasets/coco.py (1 line):
	- line 38: # TODO might be better to add an extra field


src/MaskRCNNDetection/maskrcnn_benchmark/structures/bounding_box.py (1 line):
	- line 180: # TODO should I filter empty boxes here?


src/MaskRCNNDetection/maskrcnn_benchmark/csrc/nms.h (1 line):
	- line 16: // TODO raise error if not compiled with CUDA


src/MaskRCNNDetection/tools/train_net.py (1 line):
	- line 82: torch.cuda.empty_cache()  # TODO check if it helps


src/MaskRCNNDetection/maskrcnn_benchmark/modeling/roi_heads/mask_head/loss.py (1 line):
	- line 30: # TODO put the proposals on the CPU, as the representation for the


src/MaskRCNNDetection/maskrcnn_benchmark/structures/image_list.py (1 line):
	- line 50: # TODO Ideally, just remove this and let me model handle arbitrary


src/MaskRCNNDetection/maskrcnn_benchmark/modeling/rpn/inference.py (1 line):
	- line 157: # TODO resolve this difference and make it consistent. It should be per image,


src/MaskRCNNDetection/maskrcnn_benchmark/layers/smooth_l1_loss.py (1 line):
	- line 5: # TODO maybe push this to nn?


src/MaskRCNNDetection/maskrcnn_benchmark/utils/comm.py (1 line):
	- line 87: # TODO try to use tensor in shared-memory instead of serializing to disk


src/MaskRCNNDetection/maskrcnn_benchmark/data/samplers/distributed.py (1 line):
	- line 3: # FIXME remove this once c10d fixes the bug it has


src/MaskRCNNDetection/maskrcnn_benchmark/modeling/backbone/resnet.py (1 line):
	- line 234: # TODO: specify init for the above


src/SealDetectionRCNN/data/dataset.py (1 line):
	- line 113: # TODO: check whose stride is negative to fix this instead copy all


src/MaskRCNNDetection/maskrcnn_benchmark/modeling/roi_heads/box_head/inference.py (1 line):
	- line 52: # TODO think about a representation of batch of boxes


src/SealDetectionRCNN/train.py (1 line):
	- line 201: # TODO: this definitely is not good and will bias evaluation


src/MaskRCNNDetection/maskrcnn_benchmark/data/datasets/evaluation/voc/voc_eval.py (1 line):
	- line 13: # TODO need to make the use_07_metric format available


src/SealDetectionRCNN/model/roi_module.py (1 line):
	- line 63: # TODO: input


src/MaskRCNNDetection/maskrcnn_benchmark/modeling/roi_heads/roi_heads.py (1 line):
	- line 22: # TODO rename x to roi_box_features, if it doesn't increase memory consumption


src/MaskRCNNDetection/maskrcnn_benchmark/solver/lr_scheduler.py (1 line):
	- line 7: # FIXME ideally this would be achieved with a CombinedLRScheduler,