Model creation tutorial (Python)

Detection

For one of models in our zoo - specifically for cars detection on aerial images - a complete tutorial is `provided in a jupyter notebook <https://github.com/PUTvision/qgis-plugin-deepness/blob/master/tutorials/detection/cars_yolov7/car_detection__prepare_and_train.ipynb>’_:

./tutorials/detection/cars_yolov7/car_detection__prepare_and_train.ipynb
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.