Skip to main content

6-YOLO Environment Construction

This document describes how to set up a YOLO development and inference environment on NVIDIA Jetson platforms using Ultralytics YOLO with GPU acceleration.

1. System Information​

Verify your system environment before installation.

System Information

2. Preliminary Preparation​

Update system packages and ensure pip is available:

sudo apt update
sudo apt install python3-pip -y
sudo pip install -U pip

3. Install Ultralytics YOLO​

Install the Ultralytics YOLO framework with export support:

sudo pip3 install ultralytics[export]

Reboot the system after installation:

sudo reboot

4. Configure GPU Acceleration​

note

Torch and Torchvision were installed in previous sections. The following steps install additional GPU-related dependencies.

4.1 Torch​

sudo pip3 install https://github.com/ultralytics/assets/releases/download/v0.0.0/torch-2.5.0a0+872d972e41.nv24.08-cp310-cp310-linux_aarch64.whl

4.2 Torchvision​

sudo pip3 install https://github.com/ultralytics/assets/releases/download/v0.0.0/torchvision-0.20.0a0+afc54f7-cp310-cp310-linux_aarch64.whl

4.3 cuSPARSELt​

wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/arm64/cuda-keyring_1.1-1_all.deb
sudo dpkg -i cuda-keyring_1.1-1_all.deb
sudo apt-get update
sudo apt-get -y install libcusparselt0 libcusparselt-dev

4.4 ONNX Runtime GPU​

sudo pip3 install https://github.com/ultralytics/assets/releases/download/v0.0.0/onnxruntime_gpu-1.20.0-cp310-cp310-linux_aarch64.whl
warning

onnxruntime-gpu requires a specific NumPy version.

Install the compatible NumPy version:

sudo pip3 install numpy==1.23.5

5. Verify the Installation​

Verify Ultralytics​

python3 -c "import ultralytics; print(ultralytics.__version__)"

Verify Torch​

python3 -c "import torch; print(torch.__version__); print(torch.cuda.is_available())"

Verify Torchvision​

python3 -c "import torchvision; print(torchvision.__version__)"

Verify NumPy​

python3 -c "import numpy; print(numpy.__version__)"

Verification Output

6. Common Errors​

6.1 Cannot Uninstall sympy​

Error: Unable to uninstall sympy

Sympy Error

Solution:

sudo apt remove python3-sympy -y

Reinstall PyTorch afterward if required.

6.2 CSI Camera Cannot Be Called​

If the CSI camera does not work with YOLO inference:

  • Rebuild OpenCV from source
  • Ensure CUDA and GStreamer support are enabled
  • Remove old OpenCV versions before reinstalling

This resolves most CSI camera access issues on Jetson platforms.

References​

Maintained by HemiHex for Jetson-based advanced vision and YOLO workflows.