Model creation tutorial (Python)


For one of models in our zoo - specifically for cars detection on aerial images - a complete tutorial is `provided in a jupyter notebook <>’_:

The notebook covers:
  • downloading yolov7 repository

  • downloading the training dataset

  • preparing training data and labels in yolov7 format

  • running th training and testing

  • conversion to ONNX model

  • adding default parameters for Deepness plugin

Example model inference can be found in the Examples section.