L4T 35.5.0
Jetpack 5.1.3
Any idea about this error? how can I fix it?
daniel@daniel-nvidia:~/Work$ yolo track model=yolov8n.engine source=../Videos/Worlds_longest_drone_fpv_one_shot.mp4
WARNING ⚠️ Python>=3.10 is required, but Python==3.8.10 is currently installed
WARNING ⚠️ Unable to automatically guess model task, assuming 'task=detect'. Explicitly define task for your model, i.e. 'task=detect', 'segment', 'classify','pose' or 'obb'.
Ultralytics 8.3.20 🚀 Python-3.8.10 torch-2.1.0a0+41361538.nv23.06 CUDA:0 (Orin, 7451MiB)
Loading yolov8n.engine for TensorRT inference...
[10/24/2024-08:05:05] [TRT] [I] Loaded engine size: 13 MiB
[10/24/2024-08:05:05] [TRT] [W] Using an engine plan file across different models of devices is not recommended and is likely to affect performance or even cause errors.
[10/24/2024-08:05:07] [TRT] [I] [MemUsageChange] Init cuDNN: CPU +616, GPU +450, now: CPU 1003, GPU 4725 (MiB)
[10/24/2024-08:05:07] [TRT] [I] [MemUsageChange] TensorRT-managed allocation in engine deserialization: CPU +0, GPU +12, now: CPU 0, GPU 12 (MiB)
[10/24/2024-08:05:07] [TRT] [I] [MemUsageChange] Init cuDNN: CPU +0, GPU +0, now: CPU 990, GPU 4713 (MiB)
[10/24/2024-08:05:07] [TRT] [I] [MemUsageChange] TensorRT-managed allocation in IExecutionContext creation: CPU +0, GPU +18, now: CPU 0, GPU 30 (MiB)
/home/daniel/.local/lib/python3.8/site-packages/torchvision/io/image.py:13: UserWarning: Failed to load image Python extension: '/home/daniel/.local/lib/python3.8/site-packages/torchvision/image.so: undefined symbol: _ZN5torch3jit17parseSchemaOrNameERKSsb'If you don't plan on using image functionality from `torchvision.io`, you can ignore this warning. Otherwise, there might be something wrong with your environment. Did you have `libjpeg` or `libpng` installed before building `torchvision` from source?
warn(
Traceback (most recent call last):
File "/home/daniel/.local/bin/yolo", line 8, in <module>
sys.exit(entrypoint())
File "/home/daniel/.local/lib/python3.8/site-packages/ultralytics/cfg/__init__.py", line 824, in entrypoint
getattr(model, mode)(**overrides) # default args from model
File "/home/daniel/.local/lib/python3.8/site-packages/ultralytics/engine/model.py", line 601, in track
return self.predict(source=source, stream=stream, **kwargs)
File "/home/daniel/.local/lib/python3.8/site-packages/ultralytics/engine/model.py", line 554, in predict
return self.predictor.predict_cli(source=source) if is_cli else self.predictor(source=source, stream=stream)
File "/home/daniel/.local/lib/python3.8/site-packages/ultralytics/engine/predictor.py", line 183, in predict_cli
for _ in gen: # sourcery skip: remove-empty-nested-block, noqa
File "/home/daniel/.local/lib/python3.8/site-packages/torch/utils/_contextlib.py", line 35, in generator_context
response = gen.send(None)
File "/home/daniel/.local/lib/python3.8/site-packages/ultralytics/engine/predictor.py", line 261, in stream_inference
self.results = self.postprocess(preds, im, im0s)
File "/home/daniel/.local/lib/python3.8/site-packages/ultralytics/models/yolo/detect/predict.py", line 25, in postprocess
preds = ops.non_max_suppression(
File "/home/daniel/.local/lib/python3.8/site-packages/ultralytics/utils/ops.py", line 292, in non_max_suppression
i = torchvision.ops.nms(boxes, scores, iou_thres) # NMS
File "/home/daniel/.local/lib/python3.8/site-packages/torchvision/ops/boxes.py", line 40, in nms
_assert_has_ops()
File "/home/daniel/.local/lib/python3.8/site-packages/torchvision/extension.py", line 46, in _assert_has_ops
raise RuntimeError(
RuntimeError: Couldn't load custom C++ ops. This can happen if your PyTorch and torchvision versions are incompatible, or if you had errors while compiling torchvision from source. For further information on the compatible versions, check https://github.com/pytorch/vision#installation for the compatibility matrix. Please check your PyTorch version with torch.__version__ and your torchvision version with torchvision.__version__ and verify if they are compatible, and if not please reinstall torchvision so that it matches your PyTorch install.
pytorch & torchvision version:
daniel@daniel-nvidia:~/Work$ python -c "import torch; print(torch.__version__)"
2.1.0a0+41361538.nv23.06
daniel@daniel-nvidia:~/Work$ python -c "import torchvision; print(torchvision.__version__)"
/home/daniel/.local/lib/python3.8/site-packages/torchvision/io/image.py:13: UserWarning: Failed to load image Python extension: '/home/daniel/.local/lib/python3.8/site-packages/torchvision/image.so: undefined symbol: _ZN5torch3jit17parseSchemaOrNameERKSsb'If you don't plan on using image functionality from `torchvision.io`, you can ignore this warning. Otherwise, there might be something wrong with your environment. Did you have `libjpeg` or `libpng` installed before building `torchvision` from source?
warn(
0.16.2+c6f3977
PS: guide are here: NVIDIA Jetson - Ultralytics YOLO Docs
