From ab0de246afd9ed00115a5de3c29824fe9b489cda Mon Sep 17 00:00:00 2001 From: lvmingfu <630944715@qq.com> Date: Fri, 28 Aug 2020 17:12:38 +0800 Subject: [PATCH] fix codes and image of the quick_start.md in lite for r0.7 --- .../images/lite_quick_start_app_result.jpg | Bin 52760 -> 0 bytes .../images/lite_quick_start_app_result.png | Bin 0 -> 164156 bytes .../images/lite_quick_start_home.png | Bin 40083 -> 75416 bytes .../images/lite_quick_start_install.jpg | Bin 27417 -> 0 bytes .../images/lite_quick_start_install.png | Bin 0 -> 34534 bytes .../lite_quick_start_project_structure.png | Bin 37421 -> 88244 bytes .../images/lite_quick_start_sdk.png | Bin 88566 -> 318441 bytes .../source_zh_cn/quick_start/quick_start.md | 12 +++++++----- 8 files changed, 7 insertions(+), 5 deletions(-) delete mode 100644 lite/tutorials/source_zh_cn/images/lite_quick_start_app_result.jpg create mode 100644 lite/tutorials/source_zh_cn/images/lite_quick_start_app_result.png delete mode 100644 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Lite应用工程的构建、依赖项配置以及相关API的使用。 @@ -79,16 +81,16 @@ MindSpore Model Zoo中图像分类模型可[在此下载](#TODO)。 3. 在Android设备上,点击“继续安装”,安装完即可查看到设备摄像头捕获的内容和推理结果。 - ![install](../images/lite_quick_start_install.jpg) + ![install](../images/lite_quick_start_install.png) 如下图所示,成功识别出图中内容是键盘和鼠标。 - ![result](../images/lite_quick_start_app_result.jpg) + ![result](../images/lite_quick_start_app_result.png) ## 示例程序详细说明 -本端侧图像分类Android示例程序分为JAVA层和JNI层,其中,JAVA层主要通过Android Camera 2 API实现摄像头获取图像帧,以及相应的图像处理等功能;JNI层在[Runtime](https://www.mindspore.cn/tutorial/zh-CN/master/use/lite_runtime.html)中完成模型推理的过程。 +本端侧图像分类Android示例程序分为JAVA层和JNI层,其中,JAVA层主要通过Android Camera 2 API实现摄像头获取图像帧,以及相应的图像处理等功能;JNI层在[Runtime](https://www.mindspore.cn/lite/tutorial/zh-CN/master/use/runtime.html)中完成模型推理的过程。 > 此处详细说明示例程序的JNI层实现,JAVA层运用Android Camera 2 API实现开启设备摄像头以及图像帧处理等功能,需读者具备一定的Android开发基础知识。 -- GitLab

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