Tutorial Overview

This section contains comprehensive tutorials for using trtutils. Each tutorial provides step-by-step instructions and examples for different use cases.

Basic Tutorials

The basic tutorials cover essential functionality:

  • Basic Usage: Learn how to use the core TRTEngine class

  • Advanced Usage: Explore lower-level interfaces and CUDA operations

  • YOLO Basic Usage: Learn how to use the YOLO class

YOLO Tutorials

The YOLO tutorials provide detailed instructions for working with different YOLO variants:

  • YOLOv7

  • YOLOv8

  • YOLOv9

  • YOLOv10

  • YOLOv11

  • YOLOv12

  • YOLOv13

  • YOLOX

Each YOLO tutorial covers: - ONNX weight download and conversion - TensorRT engine building - Inference with the YOLO class - Advanced features and optimizations - Troubleshooting guides

RT-DETR Tutorials

The RT-DETR tutorials provide detailed instructions for working with different RT-DETR variants and related models:

  • RT-DETRv1

  • RT-DETRv2

  • RT-DETRv3

  • D-FINE

  • DEIM

  • DEIMv2

  • RF-DETR

Each RT-DETR tutorial covers: - ONNX weight download and conversion - TensorRT engine building - Inference with the appropriate model class - Advanced features and optimizations - Troubleshooting guides

For more information about specific YOLO variants, see the YOLO Tutorials section. For more information about specific RT-DETR variants, see the RT-DETR Tutorials section.