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
Zitieren als
Fred Liu (2024). Mask Detect deploy on Jetson Nano/TX2 (https://github.com/MoonUsagi/MATLAB_Mask_Detection-with-Jetoson-Nano/releases/tag/V1.0.0), GitHub. Abgerufen .
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Version | Veröffentlicht | Versionshinweise | |
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1.0.0 |