utils_cv/classification/parameter_sweeper.py (2 lines):
	- line 247: Create ImageDataBunch and return it. TODO in future version is to allow
	- line 275: Create ImageDataBunch and return it. TODO in future version is to allow


utils_cv/tracking/references/fairmot/utils/image.py (2 lines):
	- line 139: if min(masked_gaussian.shape) > 0 and min(masked_heatmap.shape) > 0: # TODO debug
	- line 167: if min(masked_gaussian.shape) > 0 and min(masked_heatmap.shape) > 0: # TODO debug


utils_cv/action_recognition/dataset.py (1 line):
	- line 512: # TODO try to add `ctx=decord.ndarray.gpu(0) or .cuda(0)`


utils_cv/detection/model.py (1 line):
	- line 182: # TODO - reconsider that num_classes includes background. This doesn't feel


utils_cv/action_recognition/model.py (1 line):
	- line 712: TODO accept epoch. If None, load the latest model.


utils_cv/tracking/references/fairmot/models/losses.py (1 line):
	- line 199: # TODO: weight


utils_cv/detection/bbox.py (1 line):
	- line 78: # TODO think about whether this actually works for classes that inherit _Bbox


utils_cv/tracking/references/fairmot/tracking_utils/utils.py (1 line):
	- line 276: i = i[iou_best[i] > 0.60]  # TODO: examine arbitrary threshold


utils_cv/tracking/references/fairmot/models/data_parallel.py (1 line):
	- line 42: # TODO: update notes/cuda.rst when this class handles 8+ GPUs well


utils_cv/detection/references/engine.py (1 line):
	- line 73: # FIXME remove this and make paste_masks_in_image run on the GPU