Credits.md

Some pre-trained models provided by other repository are used in some packages.

• tensorrt_yolo3
  The pre-trained models are provided in the following repository. The trained file is automatically downloaded when you build.
  https://github.com/lewes6369/TensorRT-Yolov3
  [Original URL]
  Tranined file (416) : https://drive.google.com/drive/folders/18OxNcRrDrCUmoAMgngJlhEglQ1Hqk_NJ

• traffic_light_fine_detector
  A trained model in this package is based on the following .weights file and was fine-tuned with darknet by Tier IV.
  [Original URL]
  https://pjreddie.com/media/files/yolov3.weights
  After fine-tuning, the trained model is converted to ONNX file with the following script.
  https://github.com/tier4/autoware.iv.universe/blob/master/src/perception/traffic_light_recognition/traffic_light_fine_detector/scripts/yolov3_to_onnx.py
  

• lidar_apollo_instance_segmentation
  This package makes use of three pre-trained models provided by apollo. These files are automatically downloaded when you build.
  [Original URL]
  VLP-16 : https://github.com/ApolloAuto/apollo/raw/88bfa5a1acbd20092963d6057f3a922f3939a183/modules/perception/production/data/perception/lidar/models/cnnseg/velodyne16/deploy.caffemodel
  HDL-64 : https://github.com/ApolloAuto/apollo/raw/88bfa5a1acbd20092963d6057f3a922f3939a183/modules/perception/production/data/perception/lidar/models/cnnseg/velodyne64/deploy.caffemodel
  VLS-128 : https://github.com/ApolloAuto/apollo/raw/91844c80ee4bd0cc838b4de4c625852363c258b5/modules/perception/production/data/perception/lidar/models/cnnseg/velodyne128/deploy.caffemodel