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Add Hindi हिन्दी and Arabic العربية Docs translations (#6428)

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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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Glenn Jocher 2023-11-18 21:51:47 +01:00 • committed by GitHub
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6
docs/en/integrations/openvino.md
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@ -27,7 +27,7 @@ OpenVINO, short for Open Visual Inference & Neural Network Optimization toolkit,
Export a YOLOv8n model to OpenVINO format and run inference with the exported model.
!!! example ""
!!! Example ""
=== "Python"
@ -101,7 +101,7 @@ For more detailed steps and code snippets, refer to the [OpenVINO documentation]
YOLOv8 benchmarks below were run by the Ultralytics team on 4 different model formats measuring speed and accuracy: PyTorch, TorchScript, ONNX and OpenVINO. Benchmarks were run on Intel Flex and Arc GPUs, and on Intel Xeon CPUs at FP32 precision (with the `half=False` argument).
!!! note
!!! Note
The benchmarking results below are for reference and might vary based on the exact hardware and software configuration of a system, as well as the current workload of the system at the time the benchmarks are run.
@ -251,7 +251,7 @@ Benchmarks below run on 13th Gen Intel® Core® i7-13700H CPU at FP32 precision.
To reproduce the Ultralytics benchmarks above on all export [formats](../modes/export.md) run this code:
!!! example ""
!!! Example ""
=== "Python"