by Huang Yuyao, Wen YongKun

1. A differentiable Perspective Transformer Layer inspired by Spatial Transformer Networks. See bevutils/layers/perspective_transformer.py and samples/basic/sample.py.
2. A simulated dataset. See bevutils/datasets/simulated.py and samples/simulated_dataset/demo_dataset.py.
3. A training system inspired by victoresque's template and mmdetection

pip install git+https://github.com/huangyuyao/bevutils.git@master

git clone https://github.com/huangyuyao/bevutils.git
cd bevutils
pip install -e .

You can make use of functions, datasets and layers of this project by import the functionalities from anywhere.

If you want to use the capability of training a new network, you can do three things:

- registry your custom network modules(TBD),
- write a config file,
- and call `bevtrain -c config.json` or `bevtest -c config.json` tools to reuse the training process. (TBD)

You can refer to samples/perspective_transformer_network as a quick tutorial. (TBD)

This project is licensed under the MIT License. See LICENSE for more details