Credits.md

Certain AutowareArchitectureProposal packages rely on pre-trained CNN models provided by other open source repositories.

• tensorrt_yolo3

  • The pre-trained models originate from TRTForYolov3.
  • Weights for the trained model (416 folder) are automatically downloaded during the build process.

• traffic_light_fine_detector

  • The trained model in this package is based on the pjreddie's YOLO .weights file, with additional fine-tuning by Tier IV using Darknet.
  • After fine-tuning, the new weights for the trained model are converted into an ONNX file using Python.

• lidar_apollo_instance_segmentation

  • This package makes use of three pre-trained models provided by Apollo Auto.
  • The following files are automatically downloaded during the build process:
    • VLP-16
    • HDL-64
    • VLS-128