Nvidia Jetson devices

Objetivo: Correr yolact1)https://github.com/dbolya/yolact en la jetson nano

Corre pero parece que no está usando la gpu

Referentes

https://www.jetsonhacks.com/

https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-nano/learn-ai/

Clusters → https://developer.nvidia.com/slurm

Clusters → https://computing.llnl.gov/tutorials/moab/

https://github.com/dusty-nv/jetson-inference#system-setup

https://developer.download.nvidia.com/embedded/L4T/r32-2_Release_v1.0/Jetson_Nano_Developer_Kit_User_Guide.pdf?QGteAjJE9zMagm1j6YTLo3VZoy1T6WTy_cMeZaIwvblCEbTz6YJwUK6QN4baOoG0uJmhqtS_svgtaBdj4KSVgEtfxy4lKyNjjAlhhPUYTT9Z7us9FJO7NuyvzNxSi8Ge7rUwq7OZPSUxRPtzppdc11n71swOcE3AjZlJhhDDHbyM4edT-nGK

https://devtalk.nvidia.com/default/topic/1049071/jetson-nano/pytorch-for-jetson-nano/

https://devtalk.nvidia.com/default/topic/1049972/jetson-nano/opencv-cuda-python-with-jetson-nano/

Script para instalar opencv 4 → https://raw.githubusercontent.com/AastaNV/JEP/master/script/install_opencv4.0.0_Nano.sh

https://devtalk.nvidia.com/default/topic/1050526/jetson-nano/unable-to-import-opencv-with-python3/

https://github.com/rbonghi/jetson_easy