Recent Releases of tree-detection-framework
tree-detection-framework - Release v0.1.1
This release enables tree detection on realistic-scale raster data, offering on-the-fly chip generation, modular detectors based on existing approaches, and diverse post-processing capabilities. It is built using TorchGeo for handling geospatial data and PyTorch Lightning to minimize boilerplate code. The detectors supported include DeepForest, Detectree2, SAM2 and a geometric learning-free approach.
- Jupyter Notebook
Published by youngdjn about 1 year ago
tree-detection-framework - Initial release: version v0.1.0
This release enables tree detection on realistic-scale raster data, offering on-the-fly chip generation, modular detectors based on existing approaches, and diverse post-processing capabilities. It is built using TorchGeo for handling geospatial data and PyTorch Lightning to minimize boilerplate code. The detectors supported include DeepForest, Detectree2, SAM2 and a geometric learning-free approach.
- Jupyter Notebook
Published by amrithasp02 about 1 year ago