From de1af2b560675559c391756a432d049ee6c7d5e0 Mon Sep 17 00:00:00 2001 From: Muhammad Rizwan Munawar Date: Sun, 8 Dec 2024 22:00:29 +0500 Subject: [PATCH] OpenVINO broken link fix (#18107) Co-authored-by: UltralyticsAssistant --- .../guides/optimizing-openvino-latency-vs-throughput-modes.md | 2 +- docs/en/yolov5/tutorials/model_export.md | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/en/guides/optimizing-openvino-latency-vs-throughput-modes.md b/docs/en/guides/optimizing-openvino-latency-vs-throughput-modes.md index 154ec7a893..cffeb22350 100644 --- a/docs/en/guides/optimizing-openvino-latency-vs-throughput-modes.md +++ b/docs/en/guides/optimizing-openvino-latency-vs-throughput-modes.md @@ -61,7 +61,7 @@ OpenVINO's multi-device mode simplifies scaling throughput by automatically bala Optimizing Ultralytics YOLO models for latency and throughput with OpenVINO can significantly enhance your application's performance. By carefully applying the strategies outlined in this guide, developers can ensure their models run efficiently, meeting the demands of various deployment scenarios. Remember, the choice between optimizing for latency or throughput depends on your specific application needs and the characteristics of the deployment environment. -For more detailed technical information and the latest updates, refer to the [OpenVINO documentation](https://docs.openvino.ai/latest/index.html) and [Ultralytics YOLO repository](https://github.com/ultralytics/ultralytics). These resources provide in-depth guides, tutorials, and community support to help you get the most out of your deep learning models. +For more detailed technical information and the latest updates, refer to the [OpenVINO documentation](https://docs.openvino.ai/2024/index.html) and [Ultralytics YOLO repository](https://github.com/ultralytics/ultralytics). These resources provide in-depth guides, tutorials, and community support to help you get the most out of your deep learning models. --- diff --git a/docs/en/yolov5/tutorials/model_export.md b/docs/en/yolov5/tutorials/model_export.md index a3a945c1e1..5cee3fdde9 100644 --- a/docs/en/yolov5/tutorials/model_export.md +++ b/docs/en/yolov5/tutorials/model_export.md @@ -31,7 +31,7 @@ YOLOv5 inference is officially supported in 11 formats: | [PyTorch](https://pytorch.org/) | - | `yolov5s.pt` | | [TorchScript](https://pytorch.org/docs/stable/jit.html) | `torchscript` | `yolov5s.torchscript` | | [ONNX](https://onnx.ai/) | `onnx` | `yolov5s.onnx` | -| [OpenVINO](https://docs.openvino.ai/latest/index.html) | `openvino` | `yolov5s_openvino_model/` | +| [OpenVINO](https://docs.openvino.ai/2024/index.html) | `openvino` | `yolov5s_openvino_model/` | | [TensorRT](https://developer.nvidia.com/tensorrt) | `engine` | `yolov5s.engine` | | [CoreML](https://github.com/apple/coremltools) | `coreml` | `yolov5s.mlmodel` | | [TensorFlow SavedModel](https://www.tensorflow.org/guide/saved_model) | `saved_model` | `yolov5s_saved_model/` |