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로봇을 위한 MLOps #2: 엣지 파이프라인의 구성

Woowa Brothers Tech · published 19 July 2024

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로봇을 위한 MLOps #1: Edge device와 K3s, Airflow Read at the source ↗
techblog.woowahan.com
https://developer.nvidia.com/ko-kr/blog/nvidia-tensorrt-inference-%EC%B5%9C%EC%A0%81%ED%99%94-%EB%B0%8F-%EA%B0%80%EC%86%8D%ED%99%94%EB%A5%BC-%EC%9C%84%ED%95%9C-nvidia%EC%9D%98-toolkit/
developer.nvidia.com
https://github.com/NVIDIA/TensorRT/tree/main/samples/trtexec
github.com
https://docs.nvidia.com/deeplearning/tensorrt/developer-guide/index.html
docs.nvidia.com
https://github.com/NVIDIA/TensorRT/tree/release/10.0/tools/experimental/trt-engine-explorer
github.com
https://netron.app/
netron.app
https://developer.nvidia.com/blog/exploring-tensorrt-engines-with-trex/
developer.nvidia.com
https://repo.download.nvidia.com/jetson/
repo.download.nvidia.com
https://docs.nvidia.com/nsight-systems/UserGuide/
docs.nvidia.com
https://developer.nvidia.com/nsight-systems
developer.nvidia.com
https://docs.nvidia.com/deeplearning/tensorrt/api/c_api/
docs.nvidia.com
https://github.com/NVIDIA/TensorRT.git
github.com
https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub
developer.download.nvidia.com
https://developer.download.nvidia.com/devtools/repos/ubuntu$
developer.download.nvidia.com