From 1556466a91831d9e9db53b9fd58a975ece0a0d1a Mon Sep 17 00:00:00 2001 From: DefTruth Date: Sun, 19 Sep 2021 11:17:11 +0800 Subject: [PATCH] update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index ce3ce6f2..2b317826 100644 --- a/README.md +++ b/README.md @@ -275,7 +275,7 @@ A minimum example to show you how to link the shared lib of Lite.AI correctly fo
-*Lite.AI.ToolKit* contains *[70+](https://github.com/DefTruth/lite.ai.toolkit/tree/main/docs/hub/lite.ai.toolkit.hub.onnx.md)* AI models with *[150+](https://github.com/DefTruth/lite.ai.toolkit/tree/main/docs/hub/lite.ai.toolkit.hub.onnx.md)* frozen pretrained *.onnx* files now. Note that the models here are all from third-party projects. Most of the models were converted by *Lite.AI.ToolKit*. In Lite.AI, different names of the same algorithm mean that the corresponding models come from different repositories, different implementations, or use different training data, etc. ✅ means passed the test and ⚠️ means not implements yet but coming soon. For classes which denoted ✅, you can use it through *lite::cv::Type::Class* syntax, such as *[lite::cv::detection::YoloV5](#lite.ai.toolkit-object-detection)*. More details can be found at [Examples for Lite.AI](#lite.ai.toolkit-Examples-for-Lite.AI.ToolKit). +*Lite.AI.ToolKit* contains *[70+](https://github.com/DefTruth/lite.ai.toolkit/tree/main/docs/hub/lite.ai.toolkit.hub.onnx.md)* AI models with *[150+](https://github.com/DefTruth/lite.ai.toolkit/tree/main/docs/hub/lite.ai.toolkit.hub.onnx.md)* frozen pretrained *.onnx* files now. Note that the models here are all from third-party projects. Most of the models were converted by *Lite.AI.ToolKit*. In Lite.AI.ToolKit, different names of the same algorithm mean that the corresponding models come from different repositories, different implementations, or use different training data, etc. ✅ means passed the test and ⚠️ means not implements yet but coming soon. For classes which denoted ✅, you can use it through *lite::cv::Type::Class* syntax, such as *[lite::cv::detection::YoloV5](#lite.ai.toolkit-object-detection)*. More details can be found at [Examples for Lite.AI](#lite.ai.toolkit-Examples-for-Lite.AI.ToolKit).
Expand Details for Namespace and Lite.AI.ToolKit modules.