Point detection workflow

[bw4sz]

As part of DeepForest 2.0 we need a model for point prediction.

A couple examples we can work from

https://github.com/xingyizhou/CenterNet.
https://github.com/FateScript/CenterNet-better
https://arxiv.org/abs/1904.07850

We have the data from

https://doi.org/10.1016/j.jag.2024.103848

Roadmap

• Add small point dataset example to get_data. We should use the existing box dataset (OSBS_029) and just get the centroids
• Add a point dataloader to datasets.py similar to

  DeepForest/deepforest/dataset.py

  Line 204 in 7e0aa43

  class BoundingBoxDataset(Dataset):

• Add a point model to models.
• Example training script in examples/
• Confirm visualization
• Confirm can be extended to multi-class

@Mu-Magdy might be interested, since its isolated from the code base, doesn't have a time frame and fits objectives.

Bonus

• Train a tree point detector on the MillionTrees point datasets and/or the center points of the boxes/polygons datasets.