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ultralytics 8.3.29 Sony IMX500 export (#14878)

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Signed-off-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Ultralytics Assistant <135830346+UltralyticsAssistant@users.noreply.github.com>
Co-authored-by: Francesco Mattioli <Francesco.mttl@gmail.com>
Co-authored-by: Lakshantha Dissanayake <lakshantha@ultralytics.com>
Co-authored-by: Lakshantha Dissanayake <lakshanthad@yahoo.com>
Co-authored-by: Chizkiyahu Raful <37312901+Chizkiyahu@users.noreply.github.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: Muhammad Rizwan Munawar <muhammadrizwanmunawar123@gmail.com>
Co-authored-by: Mohammed Yasin <32206511+Y-T-G@users.noreply.github.com>
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docs/en/integrations/index.md
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@ -61,6 +61,8 @@ Welcome to the Ultralytics Integrations page! This page provides an overview of
- [Albumentations](albumentations.md): Enhance your Ultralytics models with powerful image augmentations to improve model robustness and generalization.
- [SONY IMX500](sony-imx500.md): Optimize and deploy [Ultralytics YOLOv8](https://docs.ultralytics.com/models/yolov8/) models on Raspberry Pi AI Cameras with the IMX500 sensor for fast, low-power performance.
## Deployment Integrations
- [CoreML](coreml.md): CoreML, developed by [Apple](https://www.apple.com/), is a framework designed for efficiently integrating machine learning models into applications across iOS, macOS, watchOS, and tvOS, using Apple's hardware for effective and secure [model deployment](https://www.ultralytics.com/glossary/model-deployment).

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docs/en/integrations/sony-imx500.md
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@ -4,7 +4,7 @@ description: Learn to export Ultralytics YOLOv8 models to Sony's IMX500 format t
keywords: Sony, IMX500, IMX 500, Atrios, MCT, model export, quantization, pruning, deep learning optimization, Raspberry Pi AI Camera, edge AI, PyTorch, IMX
---
# IMX500 Export for Ultralytics YOLOv8
# Sony IMX500 Export for Ultralytics YOLOv8
This guide covers exporting and deploying Ultralytics YOLOv8 models to Raspberry Pi AI Cameras that feature the Sony IMX500 sensor.

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docs/en/macros/export-table.md
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@ -14,3 +14,4 @@
| [PaddlePaddle](../integrations/paddlepaddle.md) | `paddle` | `{{ model_name or "yolo11n" }}_paddle_model/` | ✅ | `imgsz`, `batch` |
| [MNN](../integrations/mnn.md) | `mnn` | `{{ model_name or "yolo11n" }}.mnn` | ✅ | `imgsz`, `batch`, `int8`, `half` |
| [NCNN](../integrations/ncnn.md) | `ncnn` | `{{ model_name or "yolo11n" }}_ncnn_model/` | ✅ | `imgsz`, `half`, `batch` |
| [IMX500](../integrations/sony-imx500.md) | `imx` | `{{ model_name or "yolo11n" }}_imx_model/` | ✅ | `imgsz`, `int8` |

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docs/en/reference/utils/torch_utils.md
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@ -19,6 +19,10 @@ keywords: Ultralytics, torch utils, model optimization, device selection, infere
<br><br><hr><br>
## ::: ultralytics.utils.torch_utils.FXModel
<br><br><hr><br>
## ::: ultralytics.utils.torch_utils.torch_distributed_zero_first
<br><br><hr><br>