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🛠 A lite C++ toolkit of awesome AI models, support ONNXRuntime, MNN, TNN, NCNN and TensorRT.

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我用repo里面的argmax进行分割后处理,在768*768的图片上,每帧需要花费400ms的时间。各位大佬有没有更快的方法?

https://github.com/CompVis/stable-diffusion ![image](https://user-images.githubusercontent.com/43716063/188273099-cd180ed8-52ca-4a32-a151-aa1e0547685e.png)

请问一下,是否可以将您的百度网盘模型文件资源按照表格分类形式分一下类,名字也改成那对应的。不然好难找呀

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如题,YOLO7什么时候支持啊 这个库太好用啦

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![图片](https://user-images.githubusercontent.com/57901697/185025791-5c6012f9-7630-46cb-b4dc-3a8aa64deb92.png)

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请问有考虑支持 瑞芯微的 RKNN和海思的NNIE吗

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Hello After building the libs, it seems, make install does not work. Thanks

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Hello, I would like to use OpenCV and onnxruntime that are installed in the system instead of using presupplied libs in the lite toolkit. Any example how can I use...

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