【开源实习】香橙派github仓中的在线推理案例08-LSTM+CRF基于PyNative模式改写成以mint接口实现，任务编号ID4HKE

Online/README.md

@@ -36,7 +36,7 @@
 | [ShuffleNet](https://github.com/mindspore-courses/orange-pi-mindspore/tree/master/Online/inference/05-ShuffleNet) | 8.0.RC3.alpha002                           | 2.4.10             | 8T16G            |
 | [SSD](https://github.com/mindspore-courses/orange-pi-mindspore/tree/master/Online/inference/06-SSD) | 8.1.RC1                                    | 2.6.0              | 8T8G             |
 | [RNN](https://github.com/mindspore-courses/orange-pi-mindspore/tree/master/Online/inference/07-RNN) | 8.1.RC1                                    | 2.6.0              | 8T8G             |
-| [LSTM+CRF](https://github.com/mindspore-courses/orange-pi-mindspore/tree/master/Online/inference/08-LSTM%2BCRF) | 8.0.RC3.alpha002                           | 2.4.10             | 8T16G            |
+| [LSTM+CRF](https://github.com/mindspore-courses/orange-pi-mindspore/tree/master/Online/inference/08-LSTM%2BCRF) | 8.1.RC1                           | 2.6.0             | 8T8G            |
 | [GAN](https://github.com/mindspore-courses/orange-pi-mindspore/tree/master/Online/inference/09-GAN) | 8.0.RC3.alpha002                           | 2.4.10             | 8T16G            |
 | [DCGAN](https://github.com/mindspore-courses/orange-pi-mindspore/tree/master/Online/inference/10-DCGAN) | 8.1.RC1                                    | 2.6.0              | 8T8G             |
 | [Pix2Pix](https://github.com/mindspore-courses/orange-pi-mindspore/tree/master/Online/inference/11-Pix2Pix) | 8.0.RC3.alpha002                           | 2.4.10             | 8T16G            |
@@ -76,7 +76,7 @@
 | [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           |
-
+| [DepthEstimation](https://github.com/mindspore-courses/orange-pi-mindspore/tree/master/Online/community/MaskGeneration) | 8.1.RC1 | 2.6.0 | 8T16G |
 
 
 ## 学习资源

Online/community/DepthEsitmation/README.md

@@ -0,0 +1,57 @@
+# Depth Estimation
+
+[【开源实习】针对任务类型Depth Estimation，开发可在香橙派AIpro开发板运行的应用](https://gitee.com/mindspore/community/issues/ICJ4YU)
+任务编号：#ICJ4YU  
+
+基于`MindSpore`框架和`Intel/dpt-large`模型实现的Depth Estimation应用  
+
+### 介绍
+    深度估计是计算机视觉中的核心任务之一，旨在从单张或多张二维图像中推断出场景中物体与相机的相对距离，最终输出与输入图像尺寸匹配的 “深度图”—— 以像素级灰度 / 彩色映射直观反映不同区域的远近关系。Intel/dpt-large是 Intel 团队基于 Transformer 架构设计的高性能单目深度估计模型，在室内外多场景中均具备优异泛化能力，其核心优势在于 “Transformer 全局注意力 + CNN 局部特征提取” 的混合架构：首先通过预训练骨干网络如 ViT-B/ViT-L提取多尺度局部特征，保留高分辨率下的物体轮廓、纹理等细节信息，为近距物体深度精准度奠定基础；随后借助 Transformer 编码器的全局自注意力机制，捕捉图像长距离依赖关系，解决传统 CNN 在全局场景一致性上的不足；最后通过层级化解码模块将 “局部细节特征” 与 “全局语义特征” 逐步融合，结合深度值连续分布特性优化预测结果，输出与输入图像尺寸完全对齐的像素级深度图。该模型可适配香橙派 AIpro 等边缘设备，在降低内存开销的同时满足实时性需求。
+
+### 环境准备
+
+    开发者拿到香橙派开发板后，首先需要进行硬件资源确认，镜像烧录及CANN和MindSpore版本的升级，才可运行该案例，具体如下：
+
+    开发板：香橙派Aipro或其他同硬件开发板  
+    开发板镜像: Ubuntu镜像  
+    `CANN Toolkit/Kernels：	8.1.RC1`  
+    `MindSpore: 2.6.0` 
+    `MindSpore NLP: 0.4.1`  
+    `Python: 3.9`
+
+### 镜像烧录
+
+    运行该案例需要烧录香橙派官网ubuntu镜像，烧录流程参考[昇思MindSpore官网--香橙派开发专区--环境搭建指南--镜像烧录](https://www.mindspore.cn/tutorials/zh-CN/r2.7.0rc1/orange_pi/environment_setup.html) 章节。
+
+### CANN升级
+
+    CANN升级参考[昇思MindSpore官网--香橙派开发专区--环境搭建指南--CANN升级](https://www.mindspore.cn/tutorials/zh-CN/r2.7.0rc1/orange_pi/environment_setup.html)章节。
+
+### MindSpore升级
+
+    MindSpore升级参考[昇思MindSpore官网--香橙派开发专区--环境搭建指南--MindSpore升级](https://www.mindspore.cn/tutorials/zh-CN/r2.7.0rc1/orange_pi/environment_setup.html)章节。
+
+### requirements
+```
+Python == 3.9
+
+MindSpore == 2.6.0
+
+mindnlp == 0.4.1
+
+pillow >= 10.2.0
+
+numpy == 1.22.4
+
+requests == 2.32.5
+
+```
+### 快速使用
+
+    用户在准备好上述环境之后，逐步运行Depth-estimation.ipynb文件即可，（第一次运行时需下载模型权重）使用时可将图片路径替换为要进行深度估计的图片路径，逐步运行后模型会返回深度图结果。
+
+### 预期输出
+    展示对应输入图像推理得到的深度图数据。
+
+
+

Online/community/README.md

@@ -17,4 +17,4 @@
 | [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           |
-
+| [DepthEstimation](https://github.com/mindspore-courses/orange-pi-mindspore/tree/master/Online/community/MaskGeneration) | 8.1.RC1 | 2.6.0 | 8T16G |

Online/inference/README.md

@@ -17,7 +17,7 @@
 |[ShuffleNet](https://github.com/mindspore-courses/orange-pi-mindspore/tree/master/Online/inference/05-ShuffleNet)| 8.0.RC3.alpha002  | 2.4.10| 8T16G |
 |[SSD](https://github.com/mindspore-courses/orange-pi-mindspore/tree/master/Online/inference/06-SSD)|8.1.RC1  | 2.6.0| 8T8G |
 |[RNN](https://github.com/mindspore-courses/orange-pi-mindspore/tree/master/Online/inference/07-RNN)|8.1.RC1  | 2.6.0| 8T8G |
-|[LSTM+CRF](https://github.com/mindspore-courses/orange-pi-mindspore/tree/master/Online/inference/08-LSTM%2BCRF)|8.0.RC3.alpha002  | 2.4.10| 8T16G |
+|[LSTM+CRF](https://github.com/mindspore-courses/orange-pi-mindspore/tree/master/Online/inference/08-LSTM%2BCRF)|8.1.RC1  | 2.6.0| 8T8G |
 |[GAN](https://github.com/mindspore-courses/orange-pi-mindspore/tree/master/Online/inference/09-GAN)|8.0.RC3.alpha002  | 2.4.10| 8T16G |
 |[DCGAN](https://github.com/mindspore-courses/orange-pi-mindspore/tree/master/Online/inference/10-DCGAN)|8.1.RC1  | 2.6.0| 8T8G |
 |[Pix2Pix](https://github.com/mindspore-courses/orange-pi-mindspore/tree/master/Online/inference/11-Pix2Pix)|8.0.RC3.alpha002  | 2.4.10| 8T16G |

README.md

@@ -51,7 +51,7 @@
 |[ShuffleNet](https://github.com/mindspore-courses/orange-pi-mindspore/tree/master/Online/inference/05-ShuffleNet)| 推理 | 8.0.RC3.alpha002  | 2.4.10| 8T16G |
 |[SSD](https://github.com/mindspore-courses/orange-pi-mindspore/tree/master/Online/inference/06-SSD)| 推理 | 8.1.RC1  | 2.6.0| 8T8G |
 |[RNN](https://github.com/mindspore-courses/orange-pi-mindspore/tree/master/Online/inference/07-RNN)| 推理 | 8.0.RC3.alpha002  | 2.4.10| 8T16G |
-|[LSTM+CRF](https://github.com/mindspore-courses/orange-pi-mindspore/tree/master/Online/inference/08-LSTM%2BCRF)| 推理 | 8.0.RC3.alpha002  | 2.4.10| 8T16G |
+|[LSTM+CRF](https://github.com/mindspore-courses/orange-pi-mindspore/tree/master/Online/inference/08-LSTM%2BCRF)| 推理 | 8.1.RC1  | 2.6.0| 8T8G |
 |[GAN](https://github.com/mindspore-courses/orange-pi-mindspore/tree/master/Online/inference/09-GAN)| 推理 | 8.0.RC3.alpha002  | 2.4.10| 8T16G |
 |[DCGAN](https://github.com/mindspore-courses/orange-pi-mindspore/tree/master/Online/inference/10-DCGAN)|  推理 | 8.1.RC1  | 2.6.0| 8T8G |
 |[Pix2Pix](https://github.com/mindspore-courses/orange-pi-mindspore/tree/master/Online/inference/11-Pix2Pix)|  推理 | 8.0.RC3.alpha002  | 2.4.10| 8T16G |
@@ -83,6 +83,7 @@
 | [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           |
+| [DepthEstimation](https://github.com/mindspore-courses/orange-pi-mindspore/tree/master/Online/community/MaskGeneration) | 推理 | 8.1.RC1 | 2.6.0 | 8T16G |
 
 > 注：在线案例指导请参考Online文件夹中的README文档