Compilation is failing Back
ZahraAnam opened this issue · comments
Hi! I am trying to use your code for object detection and tracking using Ubuntu 20.04. Detection on image works fine but when attempting on videos and trying to track, I get following warnings and errors:
/home/anam/anaconda3/envs/yolov3/lib/python3.6/site-packages/torch/nn/_reduction.py:44: UserWarning: size_average and reduce args will be deprecated, please use reduction='mean' instead.
warnings.warn(warning.format(ret))
/home/anam/Codes/YOLOv4/Yolov3/pytorch_objectdetecttrack/sort.py:33: NumbaWarning:
Compilation is falling back to object mode WITH looplifting enabled because Function "iou" failed type inference due to: non-precise type pyobject
During: typing of argument at /home/anam/Codes/YOLOv4/Yolov3/pytorch_objectdetecttrack/sort.py (38)
File "sort.py", line 38:
def iou(bb_test,bb_gt):
"""
xx1 = np.maximum(bb_test[0], bb_gt[0])
^
@jit
/home/anam/anaconda3/envs/yolov3/lib/python3.6/site-packages/numba/core/object_mode_passes.py:178: NumbaWarning: Function "iou" was compiled in object mode without forceobj=True.
File "sort.py", line 34:
@jit
def iou(bb_test,bb_gt):
^
state.func_ir.loc))
/home/anam/anaconda3/envs/yolov3/lib/python3.6/site-packages/numba/core/object_mode_passes.py:188: NumbaDeprecationWarning:
Fall-back from the nopython compilation path to the object mode compilation path has been detected, this is deprecated behaviour.
For more information visit https://numba.pydata.org/numba-doc/latest/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit
File "sort.py", line 34:
@jit
def iou(bb_test,bb_gt):
^
state.func_ir.loc))
Traceback (most recent call last):
File "object_detector.py", line 124, in
tracked_objects = mot_tracker.update(detections.cpu())
File "/home/anam/Codes/YOLOv4/Yolov3/pytorch_objectdetecttrack/sort.py", line 209, in update
matched, unmatched_dets, unmatched_trks = associate_detections_to_trackers(dets,trks)
File "/home/anam/Codes/YOLOv4/Yolov3/pytorch_objectdetecttrack/sort.py", line 153, in associate_detections_to_trackers
if(d not in matched_indices[:,0]):
TypeError: tuple indices must be integers or slices, not tuple
Wondering if you can help.
Yes， sort.py has the same problem in my side ------TypeError: tuple indices must be integers or slices, not tuple, can you help?
Am trying to solve it, if I do it I'll post here.
I resolved my first error by a simple change "if(d not in matched_indices[0]):" i.e. Only access the 0 and 1 element of tuple.
But now I have problem in matching section.
Getting the same issue on sort.py with videos. The only change I made was altering the sklearn module to scipy in sort.py.
I was able to work around this by replacing the import of linear_assignment with:
from scipy.optimize import linear_sum_assignment
def linear_assignment(x):
indices = linear_sum_assignment(x)
indices = np.asarray(indices)
return np.transpose(indices)
I was able to work around this by replacing the import of linear_assignment with:
from scipy.optimize import linear_sum_assignment def linear_assignment(x): indices = linear_sum_assignment(x) indices = np.asarray(indices) return np.transpose(indices)
This also worked great for me. Thank you!