Tiled inference with StrongSort yolo.track method about yolo_tracking HOT 3 CLOSED

Just follow the tiled inference examples under README 😄

from yolo_tracking.

I did but using yolo.track provided a lightweight result compared to using yolo.predict (like in tiled inference example). So, I wanted to utilize it instead of yolo.predict. Would taking the IDs returned by yolo.track suffice? I attempted to extract the IDs using id = r.boxes.id.cpu().numpy(), but encountered an error.

video 1/1 (11/3766)..: 384x640 10 cars, 74.6ms
strong sort called
[ 1 2 3 4 5 6 7 8 9 10]
video 1/1 (12/3766) .. 384x640 10 cars, 64.8ms
strong sort called
[ 1 2 3 4 5 6 7 8 9 10 11 12]
video 1/1 (13/3766) ...: 384x640 11 cars, 1 truck, 67.3ms
strong sort called
Traceback (most recent call last):
File "tracking/track.py", line 237, in
run(opt)
File "../lib/python3.8/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "tracking/track.py", line 159, in run
for r in results:
File "../lib/python3.8/site-packages/torch/utils/_contextlib.py", line 56, in generator_context
response = gen.send(request)
File "..lib/python3.8/site-packages/ultralytics/engine/predictor.py", line 274, in stream_inference
self.run_callbacks('on_predict_postprocess_end')
File "..lib/python3.8/site-packages/ultralytics/engine/predictor.py", line 377, in run_callbacks
callback(self)
File "../lib/python3.8/site-packages/ultralytics/trackers/track.py", line 64, in on_predict_postprocess_end
predictor.results[i] = predictor.results[i][idx]
File "..lib/python3.8/site-packages/ultralytics/engine/results.py", line 108, in getitem
return self._apply('getitem', idx)
File "..lib/python3.8/site-packages/ultralytics/engine/results.py", line 143, in _apply
setattr(r, k, getattr(v, fn)(*args, **kwargs))
File "../lib/python3.8/site-packages/ultralytics/engine/results.py", line 63, in getitem
return self.class(self.data[idx], self.orig_shape)
IndexError: index 9 is out of bounds for dimension 0 with size 9

from yolo_tracking.

👋 Hello, this issue has been automatically marked as stale because it has not had recent activity. Please note it will be closed if no further activity occurs.
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from yolo_tracking.