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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com> Co-authored-by: UltralyticsAssistant <web@ultralytics.com> Co-authored-by: Felipe Parodi <fparodi@pennmedicine.upenn.edu>
24 lines
991 B
Markdown
24 lines
991 B
Markdown
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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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---
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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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