Mask Detect deploy on Jetson Nano/TX2

Mask Detect deploy on Jetson Nano/TX2

模型建立與教材原始檔來自於:https://github.com/matlab-deep-learning/COVID19-Face-Mask-Detection-using-deep-learning 此專案則是將這些模型透過GPU Coder轉成cuda c放入Jetson Nano板子中做實現

Model creation and original textbook files are from: https://github.com/matlab-deep-learning/COVID19-Face-Mask-Detection-using-deep-learning This project is to convert these models into cuda c through GPU Coder Join Jetson Nano board for implementation

使用MATLAB GPU Coder工具箱，實現將yolov2口罩偵測的模型實現在Jetson Nano上，將MATLAB Code 轉成 Cuda c++，並透且過GPU Coder進行優化，能夠實現在硬體上的加速 Use

MATLAB GPU Coder toolbox to implement the yolov2 mask detection model on Jetson Nano, convert MATLAB Code to Cuda c++, and optimize through GPU Coder, which can achieve hardware acceleration