Update README.md (#430)

README.md

@@ -12,7 +12,7 @@
   <img src=https://img.shields.io/github/downloads/DefTruth/lite.ai.toolkit/total?color=ccf&label=downloads&logo=github&logoColor=lightgrey >
 </div>   
 
-🛠**Lite.Ai.ToolKit**: A lite C++ toolkit of awesome AI models, such as [Object Detection](#lite.ai.toolkit-object-detection), [Face Detection](#lite.ai.toolkit-face-detection), [Face Recognition](#lite.ai.toolkit-face-recognition), [Segmentation](#lite.ai.toolkit-segmentation), [Matting](#lite.ai.toolkit-matting), etc. See [Model Zoo](#lite.ai.toolkit-Model-Zoo) and [ONNX Hub](https://github.com/DefTruth/lite.ai.toolkit/tree/main/docs/hub/lite.ai.toolkit.hub.onnx.md), [MNN Hub](https://github.com/DefTruth/lite.ai.toolkit/tree/main/docs/hub/lite.ai.toolkit.hub.mnn.md), [TNN Hub](https://github.com/DefTruth/lite.ai.toolkit/tree/main/docs/hub/lite.ai.toolkit.hub.tnn.md), [NCNN Hub](https://github.com/DefTruth/lite.ai.toolkit/tree/main/docs/hub/lite.ai.toolkit.hub.ncnn.md).
+🛠**Lite.Ai.ToolKit**: A lite C++ toolkit that support many awesome AI models, such as [Object Detection](#lite.ai.toolkit-object-detection), [Face Detection](#lite.ai.toolkit-face-detection), [Face Recognition](#lite.ai.toolkit-face-recognition), [Segmentation](#lite.ai.toolkit-segmentation), [Matting](#lite.ai.toolkit-matting), etc. See [Model Zoo](#lite.ai.toolkit-Model-Zoo) and [ONNX Hub](https://github.com/DefTruth/lite.ai.toolkit/tree/main/docs/hub/lite.ai.toolkit.hub.onnx.md), [MNN Hub](https://github.com/DefTruth/lite.ai.toolkit/tree/main/docs/hub/lite.ai.toolkit.hub.mnn.md), [TNN Hub](https://github.com/DefTruth/lite.ai.toolkit/tree/main/docs/hub/lite.ai.toolkit.hub.tnn.md), [NCNN Hub](https://github.com/DefTruth/lite.ai.toolkit/tree/main/docs/hub/lite.ai.toolkit.hub.ncnn.md).
 
 <div align='center'>
   <img src='https://github.com/DefTruth/lite.ai.toolkit/assets/31974251/5b28aed1-e207-4256-b3ea-3b52f9e68aed' height="80px" width="80px">
@@ -27,8 +27,18 @@
 </div>  
 
 ## News 👇👇
-Most of my time now is focused on **LLM/VLM** Inference. Please check 📖[Awesome-LLM-Inference](https://github.com/DefTruth/Awesome-LLM-Inference)  ![](https://img.shields.io/github/stars/DefTruth/Awesome-LLM-Inference.svg?style=social), 📖[Awesome-SD-Inference](https://github.com/DefTruth/Awesome-SD-Inference)  ![](https://img.shields.io/github/stars/DefTruth/Awesome-SD-Inference.svg?style=social) and 📖[CUDA-Learn-Notes](https://github.com/DefTruth/CUDA-Learn-Notes)  ![](https://img.shields.io/github/stars/DefTruth/CUDA-Learn-Notes.svg?style=social) for more details.
+Most of my time now is focused on **LLM/VLM** Inference. Please check 📖[Awesome-LLM-Inference](https://github.com/DefTruth/Awesome-LLM-Inference)  ![](https://img.shields.io/github/stars/DefTruth/Awesome-LLM-Inference.svg?style=social), 📖[Awesome-SD-Inference](https://github.com/DefTruth/Awesome-SD-Inference)  ![](https://img.shields.io/github/stars/DefTruth/Awesome-SD-Inference.svg?style=social) and 📖[CUDA-Learn-Notes](https://github.com/DefTruth/CUDA-Learn-Notes)  ![](https://img.shields.io/github/stars/DefTruth/CUDA-Learn-Notes.svg?style=social) for more details. Now, [lite.ai.toolkit](https://github.com/DefTruth/lite.ai.toolkit) ![](https://img.shields.io/github/stars/DefTruth/lite.ai.toolkit.svg?style=social) is mainly maintained by 🎉[@wangzijian1010](https://github.com/wangzijian1010).
 
+## Citations 🎉🎉
+```BibTeX
+@misc{lite.ai.toolkit@2021,
+  title={lite.ai.toolkit: A lite C++ toolkit of awesome AI models.},
+  url={https://github.com/DefTruth/lite.ai.toolkit},
+  note={Open-source software available at https://github.com/DefTruth/lite.ai.toolkit},
+  author={DefTruth, wangzijian1010 etc},
+  year={2021}
+}
+```
 
 <!-- 
 <div align='center'>
@@ -217,8 +227,7 @@ generate_bboxes num: 48
 
 <div id="lite.ai.toolkit-Supported-Models-Matrix"></div>
 
-<!-- 
-
+<!--
 <details>
 <summary> 🔑️ Supported Models Matrix！Click here! </summary>    
 -->
@@ -334,8 +343,7 @@ generate_bboxes num: 48
 |                     [FaceParsingBiSeNet](https://github.com/zllrunning/face-parsing.PyTorch)                      |  50M  |  *segmentation*  |   [demo](https://github.com/DefTruth/lite.ai.toolkit/blob/main/examples/lite/cv/test_lite_face_parsing_bisenet.cpp)    |      ✅      |  ✅  |  ✅   |  ✅  |   ✅   |  ✔️   |   ✔️    |    ❔    |
 |                    [FaceParsingBiSeNetDyn](https://github.com/zllrunning/face-parsing.PyTorch)                    |  50M  |  *segmentation*  | [demo](https://github.com/DefTruth/lite.ai.toolkit/blob/main/examples/lite/cv/test_lite_face_parsing_bisenet_dyn.cpp)  |      ✅      |  /  |  /   |  /  |   /   |  ✔️   |   ✔️    |    ❔    |
 
-<!-- 
-
+<!--
 </details>
 -->
 
@@ -413,10 +421,8 @@ The pretrained and converted ONNX files provide by lite.ai.toolkit are listed as
 
 <div id="lite.ai.toolkit-Examples-for-Lite.AI.ToolKit"></div>
 
-<!---
 <details>
 <summary> 🔑️ More Examples！Click here! </summary>    
---->
 
 ## 🔑️ More Examples.
 
@@ -1094,19 +1100,21 @@ More classes for face parsing (hair, eyes, nose, mouth, others)
 auto *segment = new lite::cv::segmentation::FaceParsingBiSeNet(onnx_path); // 50Mb
 auto *segment = new lite::cv::segmentation::FaceParsingBiSeNetDyn(onnx_path); // Dynamic Shape Inference.
 ```
-
-<!---
  </details>
---->
 
-## Citations 🎉🎉
-```BibTeX
-@misc{lite.ai.toolkit@2021,
-  title={lite.ai.toolkit: A lite C++ toolkit of awesome AI models.},
-  url={https://github.com/DefTruth/lite.ai.toolkit},
-  note={Open-source software available at https://github.com/DefTruth/lite.ai.toolkit},
-  author={DefTruth, wangzijian1010 etc},
-  year={2021}
-}
-```
+## ©️License
+GNU General Public License v3.0
+
+## 🎉Contribute
+Please consider ⭐ this repo if you like it, as it is the simplest way to support me.
+
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