- To use configs generated by Mmwave Studio, you can set the parameters by
ConfigJSONLoader
class. - To use configs as you want, you can set the parameters in
configs.py
and load the data byConfigPythonLoader
class. Please make sure you really know the meaning of each parameter because the parameter settings will effect the whole process of data reading and processing.
Install this repo as package radartools
with following command:
pip install "radartools @ git+https://github.com/thinszx/radartools.git@main"
If you want to use GPU to accelerate calculation, use the following command instead:
pip install "radartools[gpu] @ git+https://github.com/thinszx/radartools.git@main"
To use the tool funtions to export data as npy/png/mp4 formats, install the package:
conda install -c conda-forge ffmpeg openh264
- Detailed examples.
- Supply as Python package.
- Support GPU acceleration.
- Export data as npy/png/mp4 formats.
- Performace evaluation.
- 2D Beamforming
- AWR2243 layout
- Point cloud generation with 4-D FFT (reorganizing codes, not released yet)
- https://github.com/azinke/mmwave-repack
- TI official SDK