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【开源实习】针对任务类型Image Segmentation，开发可在香橙派AIpro开发板运行的应用 #119

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【开源实习】针对任务类型Image Segmentation，开发可在香橙派AIpro开发板运行的应用 #119

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7cc9f11
Image Feature Extraction
ycf7606 Oct 27, 2025
062d1cc
Image Feature Extraction
ycf7606 Oct 27, 2025
1873ba5
Image Segmentation
ycf7606 Nov 5, 2025
0e3c9da
8.1.RC1
ycf7606 Nov 12, 2025
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1 change: 1 addition & 0 deletions Online/README.md
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| [VideoClassification](https://github.com/mindspore-courses/orange-pi-mindspore/tree/master/Online/community/VideoClassification) | 8.0.0.beta1 | 2.6.0 |8T16G |
| [MaskGeneration](https://github.com/mindspore-courses/orange-pi-mindspore/tree/master/Online/community/MaskGeneration) | 8.1.RC1 | 2.6.0 | 8T16G |
| [DocumentQuestionAnswering](https://github.com/mindspore-courses/orange-pi-mindspore/tree/master/Online/community/DocumentQuestionAnswering) | 8.0.0.beta1 | 2.6.0 | 20T24G |
| [ImageSegmentation](https://github.com/mindspore-courses/orange-pi-mindspore/tree/master/Online/community/ImageSegmentation) | 8.1.RC1 | 2.6.0 | 20T24G |



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408 changes: 408 additions & 0 deletions Online/community/ImageSegmentation/Image_Segmentation.ipynb
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19 changes: 19 additions & 0 deletions Online/community/ImageSegmentation/README.md
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# Image Segmentation

## 1. 任务简介
本任务展示了如何在 Orange Pi Alpro 开发板上运行图像分割（Image Segmentation）任务。选用 **facebook/sam-vit-base** 作为基础模型，进行图像分割任务，主要用于对图像中的对象进行精确的像素级分割，支持任意对象的零样本分割。

## 2. 环境要求
硬件: Orange Pi Alpro (20T24G)
操作系统: Ubuntu 镜像
CANN 版本: 8.1.RC1
Python: 3.9
MindSpore: 2.6.0 (Ascend 版本)
MindSpore NLP: 0.4.1

## 3. 模型信息
**模型名称**: facebook/sam-vit-base
**下载地址**: https://huggingface.co/facebook/sam-vit-base
**参数数目**: 约 93.7M
**模型文件大小**: 约 375 MB
**用途**: 使用原始模型进行任意对象的零样本图像分割，支持点、框等多种提示方式
2 changes: 2 additions & 0 deletions Online/community/README.md
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| [VideoClassification](https://github.com/mindspore-courses/orange-pi-mindspore/tree/master/Online/community/VideoClassification) | 8.0.0.beta1 | 2.6.0 |8T16G |
| [MaskGeneration](https://github.com/mindspore-courses/orange-pi-mindspore/tree/master/Online/community/MaskGeneration) | 8.1.RC1 | 2.6.0 | 8T16G |
| [DocumentQuestionAnswering](https://github.com/mindspore-courses/orange-pi-mindspore/tree/master/Online/community/DocumentQuestionAnswering) | 8.0.0.beta1 | 2.6.0 | 20T24G |
| [ImageSegmentation](https://github.com/mindspore-courses/orange-pi-mindspore/tree/master/Online/community/ImageSegmentation) | 8.1.RC1 | 2.6.0 | 20T24G |


2 changes: 2 additions & 0 deletions README.md
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| [VideoClassification](https://github.com/mindspore-courses/orange-pi-mindspore/tree/master/Online/community/VideoClassification) | 推理 | 8.0.0.beta1 | 2.6.0 |8T16G |
| [MaskGeneration](https://github.com/mindspore-courses/orange-pi-mindspore/tree/master/Online/community/MaskGeneration) | 推理 | 8.1.RC1 | 2.6.0 | 8T16G |
| [DocumentQuestionAnswering](https://github.com/mindspore-courses/orange-pi-mindspore/tree/master/Online/community/DocumentQuestionAnswering) | 推理 | 8.0.0.beta1 | 2.6.0 | 20T24G |
| [ImageSegmentation](https://github.com/mindspore-courses/orange-pi-mindspore/tree/master/Online/community/ImageSegmentation) | 8.1.RC1 | 2.6.0 | 20T24G |


> 注：在线案例指导请参考Online文件夹中的README文档

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