Tree Crown Detection in Airborne RGB imagery
Quick attempt at replacing RetinaNet with FCOS in the DeepForest library.
Uses the same NeonTreeEvaluation dataset for benchmarking.
Trained on an NVIDIA T4 using GCP:
| Library | Precision | Recall |
|---|---|---|
| CrowNNs | 0.64 | 0.43 |
| DeepForest (SOTA) | 0.66 | 0.79 |
| lidR package (2016) | 0.34 | 0.47 |
Make sure CUDA is installed.
Create a virtual environment using
python3 -m venv .venv
and install requirements.txt.
python3 -m train.main <args>
python3 -m evaluation.<script>.py
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