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description: Explore YOLO model benchmarking for speed and accuracy with formats like PyTorch, ONNX, TensorRT, and more. Detailed profiling & usage guides. |
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keywords: YOLO, model benchmarking, ONNX, TensorRT, PyTorch, TensorFlow, CoreML, profiling, Ultralytics, model performance |
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# Reference for `ultralytics/utils/benchmarks.py` |
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!!! note |
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This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/benchmarks.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/benchmarks.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/utils/benchmarks.py) 🛠️. Thank you 🙏! |
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<br> |
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## ::: ultralytics.utils.benchmarks.RF100Benchmark |
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<br><br><hr><br> |
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## ::: ultralytics.utils.benchmarks.ProfileModels |
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<br><br><hr><br> |
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## ::: ultralytics.utils.benchmarks.benchmark |
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<br><br>
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