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INSTALL.md

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Install

  1. install Jetpack/L4T version from nvidia: link

Reference:

  1. install OpenCV with cuda support: git link
  2. install jetson-utils
  3. install jetson-inference
  4. install wfb-ng
  5. update msposd, and there is a binary version in ../utils/msposd
  6. install yolo: git link

Reference:

  1. install DeepStream

Reference:

  1. install ByteTrack
$ sudo apt install libhdf5-dev
$ git clone https://github.com/NVIDIA-AI-IOT/torch2trt.git
$ cd torch2trt
$ sudo python3 setup.py install
$ python3 -c "from torch2trt import torch2trt; print('torch2trt installed successfully')"

Note: Tested version is in the submodule if it's installed from source.

Tested version

Software part of jetson-stats 4.2.12 - (c) 2024, Raffaello Bonghi Model: NVIDIA Orin Nano Developer Kit - Jetpack 5.1.4 [L4T 35.6.0] NV Power Mode[0]: 15W Serial Number: [XXX Show with: jetson_release -s XXX] Hardware:

  • P-Number: p3767-0005
  • Module: NVIDIA Jetson Orin Nano (Developer kit) Platform:
  • Distribution: Ubuntu 20.04 focal
  • Release: 5.10.216-tegra jtop:
  • Version: 4.2.12
  • Service: Active Libraries:
  • CUDA: 11.4.315
  • cuDNN: 8.6.0.166
  • TensorRT: 8.5.2.2
  • VPI: 2.4.8
  • OpenCV: 4.9.0 - with CUDA: YES DeepStream C/C++ SDK version: 6.3

Python Environment: Python 3.8.10 GStreamer: YES (1.16.3) NVIDIA CUDA: YES (ver 11.4, CUFFT CUBLAS FAST_MATH) OpenCV version: 4.9.0 CUDA True YOLO version: 8.3.33 Torch version: 2.1.0a0+41361538.nv23.06 Torchvision version: 0.16.1+fdea156 DeepStream SDK version: 1.1.8