TEN-framework
/

ten-vad

@@ -27,6 +27,7 @@ tags:
 *Latest News* 🔥
 - [2025/06] We **finally** released and **open-sourced** the **ONNX** model and the corresponding **preprocessing code**! Now you can deploy **TEN VAD** on **any platform** and **any hardware architecture**!
 - [2025/06] We are excited to announce the release of **WASM+JS** for Web WASM Support.
@@ -256,7 +257,7 @@ The project supports five major platforms with dynamic library linking.
 </table>
 ### **Python Usage**
-#### **1. Linux**
 #### **Requirements**
 - numpy (Version 1.17.4/1.26.4 verified)
 - scipy (Version >= 1.5.0)
@@ -377,7 +378,7 @@ The detailed usage methods of each platform are as follows <br>
 - CMake
 - Terminal
-Note that if you did not install **libc++1**, you have to run the code below to install it:
 ```
 sudo apt update
 sudo apt install libc++1
@@ -395,7 +396,7 @@ You have to download the **onnxruntime** packages from the [microsoft official o
 You can check the official **ONNX Runtime releases** from [this website](https://github.com/microsoft/onnxruntime/tags). And for example, to download version 1.17.1 (Linux x64), use [this link](https://github.com/microsoft/onnxruntime/releases/download/v1.17.1/onnxruntime-linux-x64-1.17.1.tgz). After extracting the compressed file, you'll find two important directories:`include/` - header files, `lib/` - library files
 ```
 1) cd examples_onnx/
-2) ./build-and-deploy-linux.sh --ort-root /absolute/path/to/your/onnxruntime/root/dir
 ```
 Note 1: If executing the onnx demo from a different directory than the one used when running build-and-deploy-linux.sh, ensure to create a symbolic link to src/onnx_model/ to prevent ONNX model file loading failures.
 <br>

 *Latest News* 🔥
+- [2025/07] We support **Python inference** on **macOS** and **Windows** with usage of the prebuilt-lib!
 - [2025/06] We **finally** released and **open-sourced** the **ONNX** model and the corresponding **preprocessing code**! Now you can deploy **TEN VAD** on **any platform** and **any hardware architecture**!
 - [2025/06] We are excited to announce the release of **WASM+JS** for Web WASM Support.
 </table>
 ### **Python Usage**
+#### **1. Linux / macOS / Windows**
 #### **Requirements**
 - numpy (Version 1.17.4/1.26.4 verified)
 - scipy (Version >= 1.5.0)
 - CMake
 - Terminal
+Note that if you did not install **libc++1** (Linux), you have to run the code below to install it:
 ```
 sudo apt update
 sudo apt install libc++1
 You can check the official **ONNX Runtime releases** from [this website](https://github.com/microsoft/onnxruntime/tags). And for example, to download version 1.17.1 (Linux x64), use [this link](https://github.com/microsoft/onnxruntime/releases/download/v1.17.1/onnxruntime-linux-x64-1.17.1.tgz). After extracting the compressed file, you'll find two important directories:`include/` - header files, `lib/` - library files
 ```
 1) cd examples_onnx/
+2) ./build-and-deploy-linux.sh --ort-path /absolute/path/to/your/onnxruntime/root/dir
 ```
 Note 1: If executing the onnx demo from a different directory than the one used when running build-and-deploy-linux.sh, ensure to create a symbolic link to src/onnx_model/ to prevent ONNX model file loading failures.
 <br>