Docker Images for YOLOv8 Implementation on JetPack 6.2

Accelerated Computing NGC GPU Cloud Docker and NVIDIA Docker
1

I’m seeking guidance regarding appropriate Docker images for my current project on the Jetson Orin Nano. As this is my first time working with Docker containers and NVIDIA NGC images, I would appreciate clear recommendations. I’ve recently upgraded to JetPack 6.2 (L4T 36.4.3) and I’m looking for a compatible Docker image that will support the following requirements:

  1. YOLOv8 integration for real-time object detection
  2. CSI camera input processing
  3. CUDA and TensorRT acceleration for optimal inference performance
  4. Support for video processing and encoding/decoding

Could someone please recommend the most appropriate NGC container image for the Jetson Orin Nano that would be compatible with JetPack 6.2? I’ve noticed some version mismatches when attempting to use various l4t-ml tags.

Alternatively, if there’s a recommended approach to building a custom Docker image specifically for these requirements on JetPack 6.2, I would appreciate any guidance or best practices.

Thank you for your assistance.

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You can use Ultralytics docker image.

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