From 4e3f3497922503291b8475bf6461355f78bd4795 Mon Sep 17 00:00:00 2001 From: Heiko J Schick Date: Mon, 26 Oct 2020 16:28:11 +0100 Subject: [PATCH] Made English README.MD to default --- README.md | 28 +++++++++++++++------------- README_CN.md | 38 ++++++++++++++++++++++++++++++++++++++ README_EN.md | 40 ---------------------------------------- 3 files changed, 53 insertions(+), 53 deletions(-) create mode 100644 README_CN.md delete mode 100644 README_EN.md diff --git a/README.md b/README.md index 760b438..54aa3f1 100644 --- a/README.md +++ b/README.md @@ -1,38 +1,40 @@ -中文|[英文](README_EN.md) +EN|[CH](README.md) # tools -#### 介绍 +#### introduce -Ascend tools，昇腾工具仓库。 +Ascend tools +**Please go to the corresponding folder to get the tool according to your needs, or click the link below to select the tool you need to use.** -**请根据自己的需要进入对应文件夹获取工具，或者点击下面的说明链接选择需要的工具进行使用。** - -#### 使用说明 +#### explain 1. [msame](https://gitee.com/ascend/tools/tree/master/msame) - **模型推理工具**：输入.om模型和模型所需要的输入bin文件，输出模型的输出数据文件。 + **Model reasoning tool**:Input. Om model and model required input bin file, output model output data file. 2. [img2bin](https://gitee.com/ascend/tools/tree/master/img2bin) - **bin文件生成工具**：生成模型推理所需的输入数据，以.bin格式保存。 + **Bin file generation tool** : Generates input data required for model reasoning, saved in.bin format. 3. [makesd](https://gitee.com/ascend/tools/tree/master/makesd) - **制卡工具**：制卡工具包，提供ubuntu下制卡功能。 + **makesd tool**：makesd tools package，Provide card making function under ubuntu. 4. [faster_install](https://gitee.com/ascend/tools/tree/master/faster_install) - **快速安装脚本**：环境快速安装脚本。 + **faster_install**：environment fast install script. 5. [configure_usb_ethernet](https://gitee.com/ascend/tools/tree/master/configure_usb_ethernet) - **USB虚拟网卡连接脚本**：配置USB网卡对应的IP地址。 + **configure_usb_ethernet**：configuring the IP address of the USB NIC 。 6. [pt2pb](https://gitee.com/ascend/tools/tree/master/pt2pb) - **pytorch模型转tensorflow pb模型工具**：输入pytorch权重参数模型，转为onnx，再转为pb模型 + **pytorch model transform to tensorflow pb model tool**：input pytorch weights parameters model，transform to onnx file，then transform to pb model 7. [dnmetis](https://gitee.com/ascend/tools/tree/master/dnmetis) - **NPU推理精度和性能测试工具**：使用Python封装ACL的C++接口，输入om模型和原始数据集图片、标签，即可执行模型推理，输出精度数据和性能数据 + **Test tool for NPU inference precision and performance**：Using Python to encapsulate the C++ interface of ACL, inputting om model and original dataset images and tags, we can execute model inference and give out precision and performance of the om model + + + diff --git a/README_CN.md b/README_CN.md new file mode 100644 index 0000000..760b438 --- /dev/null +++ b/README_CN.md @@ -0,0 +1,38 @@ +中文|[英文](README_EN.md) + +# tools + +#### 介绍 + +Ascend tools，昇腾工具仓库。 + +**请根据自己的需要进入对应文件夹获取工具，或者点击下面的说明链接选择需要的工具进行使用。** + +#### 使用说明 + +1. [msame](https://gitee.com/ascend/tools/tree/master/msame) + + **模型推理工具**：输入.om模型和模型所需要的输入bin文件，输出模型的输出数据文件。 + +2. [img2bin](https://gitee.com/ascend/tools/tree/master/img2bin) + + **bin文件生成工具**：生成模型推理所需的输入数据，以.bin格式保存。 + +3. [makesd](https://gitee.com/ascend/tools/tree/master/makesd) + + **制卡工具**：制卡工具包，提供ubuntu下制卡功能。 + +4. [faster_install](https://gitee.com/ascend/tools/tree/master/faster_install) + + **快速安装脚本**：环境快速安装脚本。 + +5. [configure_usb_ethernet](https://gitee.com/ascend/tools/tree/master/configure_usb_ethernet) + **USB虚拟网卡连接脚本**：配置USB网卡对应的IP地址。 + +6. [pt2pb](https://gitee.com/ascend/tools/tree/master/pt2pb) + + **pytorch模型转tensorflow pb模型工具**：输入pytorch权重参数模型，转为onnx，再转为pb模型 + +7. [dnmetis](https://gitee.com/ascend/tools/tree/master/dnmetis) + + **NPU推理精度和性能测试工具**：使用Python封装ACL的C++接口，输入om模型和原始数据集图片、标签，即可执行模型推理，输出精度数据和性能数据 diff --git a/README_EN.md b/README_EN.md deleted file mode 100644 index 54aa3f1..0000000 --- a/README_EN.md +++ /dev/null @@ -1,40 +0,0 @@ -EN|[CH](README.md) - -# tools - -#### introduce - -Ascend tools -**Please go to the corresponding folder to get the tool according to your needs, or click the link below to select the tool you need to use.** - -#### explain - -1. [msame](https://gitee.com/ascend/tools/tree/master/msame) - - **Model reasoning tool**:Input. Om model and model required input bin file, output model output data file. - -2. [img2bin](https://gitee.com/ascend/tools/tree/master/img2bin) - - **Bin file generation tool** : Generates input data required for model reasoning, saved in.bin format. - -3. [makesd](https://gitee.com/ascend/tools/tree/master/makesd) - - **makesd tool**：makesd tools package，Provide card making function under ubuntu. - -4. [faster_install](https://gitee.com/ascend/tools/tree/master/faster_install) - - **faster_install**：environment fast install script. - -5. [configure_usb_ethernet](https://gitee.com/ascend/tools/tree/master/configure_usb_ethernet) - **configure_usb_ethernet**：configuring the IP address of the USB NIC 。 - -6. [pt2pb](https://gitee.com/ascend/tools/tree/master/pt2pb) - - **pytorch model transform to tensorflow pb model tool**：input pytorch weights parameters model，transform to onnx file，then transform to pb model - -7. [dnmetis](https://gitee.com/ascend/tools/tree/master/dnmetis) - - **Test tool for NPU inference precision and performance**：Using Python to encapsulate the C++ interface of ACL, inputting om model and original dataset images and tags, we can execute model inference and give out precision and performance of the om model - - -