ONNX benchmark error

[mwitiderrick]

cd yolov5
python benchmarks.py --weights yolov5s.onnx --img 640

I have this error benchmarking onnx

benchmarks: weights=yolov5s.onnx, imgsz=640, batch_size=1, data=/content/yolov5/data/coco128.yaml, device=, half=False, test=False, pt_only=False, hard_fail=False
YOLOv5 🚀 v7.0-53-g65071da Python-3.8.16 torch-1.13.0+cu116 CPU

Traceback (most recent call last):
  File "benchmarks.py", line 169, in <module>
    main(opt)
  File "benchmarks.py", line 164, in main
    test(**vars(opt)) if opt.test else run(**vars(opt))
  File "benchmarks.py", line 65, in run
    model_type = type(attempt_load(weights, fuse=False))  # DetectionModel, SegmentationModel, etc.
  File "/content/yolov5/models/experimental.py", line 79, in attempt_load
    ckpt = torch.load(attempt_download(w), map_location='cpu')  # load
  File "/usr/local/lib/python3.8/dist-packages/torch/serialization.py", line 795, in load
    return _legacy_load(opened_file, map_location, pickle_module, **pickle_load_args)
  File "/usr/local/lib/python3.8/dist-packages/torch/serialization.py", line 1002, in _legacy_load
    magic_number = pickle_module.load(f, **pickle_load_args)
_pickle.UnpicklingError: invalid load key, '\x08'.
---------------------------------------------------------------------------
CalledProcessError                        Traceback (most recent call last)
<ipython-input-12-d8bb9c5b22bb> in <module>
----> 1 get_ipython().run_cell_magic('bash', '', 'cd yolov5\npython benchmarks.py --weights yolov5s.onnx --img 640\n')

3 frames
<decorator-gen-103> in shebang(self, line, cell)

/usr/local/lib/python3.8/dist-packages/IPython/core/magics/script.py in shebang(self, line, cell)
    243             sys.stderr.flush()
    244         if args.raise_error and p.returncode!=0:
--> 245             raise CalledProcessError(p.returncode, cell, output=out, stderr=err)
    246 
    247     def _run_script(self, p, cell, to_close):

CalledProcessError: Command 'b'cd yolov5\npython benchmarks.py --weights yolov5s.onnx --img 640\n'' returned non-zero exit status 1.
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But this one works

%%bash
cd yolov5
python benchmarks.py --weights yolov5s.pt --img 640

[github-actions[bot]]

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[AI-Expert-04]

Onnx is not available for benchmarking.

python benchmarks.py --weights yolov5s.pt --img 640

` benchmarks: weights=/content/yolov5/yolov5s.pt, imgsz=640, batch_size=1, data=/content/yolov5/data/coco128.yaml, device=cpu, half=False, test=False Checking setup... YOLOv5 🚀 v6.1-135-g7926afc torch 1.10.0+cu111 CPU Setup complete ✅ (8 CPUs, 51.0 GB RAM, 41.5/166.8 GB disk)

Benchmarks complete (241.20s) Format mAP@0.5:0.95 Inference time (ms) 0 PyTorch 0.4623 127.61 1 TorchScript 0.4623 131.23 2 ONNX 0.4623 69.34 3 OpenVINO 0.4623 66.52 4 TensorRT NaN NaN 5 CoreML NaN NaN 6 TensorFlow SavedModel 0.4623 123.79 7 TensorFlow GraphDef 0.4623 121.57 8 TensorFlow Lite 0.4623 316.61 9 TensorFlow Edge TPU NaN NaN 10 TensorFlow.js NaN NaN ` Looking at the results above, you can see that onnx was used in Benchmarks complete.

Export ONNX for up to 3x CPU speed

[mwitiderrick]

Thanks

[github-actions[bot]]

👋 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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[glenn-jocher]

@mwitiderrick you're welcome! If you need any further assistance or have more questions, feel free to ask. Your feedback and contributions help improve the YOLOv5 experience for the entire community. Happy coding!