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Model training using PyTorch's object detection API

Given that this project primarily uses scripts, it's helpful to have an idea of the directory structure.

.
├── output
├── annotations
├── external
│   ├── labelImg
│   │   ├── build-tools
│   │   ├── data
│   │   ├── demo
│   │   ├── libs
│   │   ├── readme
│   │   ├── requirements
│   │   ├── resources
│   │   ├── tests
│   │   └── tools
│   └── models
│       ├── community
│       ├── official
│       ├── orbit
│       └── research
├── models
│   ├── exported
│   ├── training
│   └── pretrained
├── records
├── resources
│   └── images
│       ├── test
│       └── train
└── scripts

Now that that's out of the way, dig into the project notebooks which are self-documenting.

  1. train.ipynb
  2. export.ipynb