3LC Python Package Version 2.18¶

2.18.0¶

[15280] Added support for pose/keypoints, oriented bounding-boxes, as well as other 2D/3D geometry (points, lines, triangles)
- Pose is supported for SuperGradients, Ultralytics YOLO, and PyTorch
- Oriented bounding boxes are supported for Ultralytics YOLO and PyTorch
- See Working with Geometry in 3LC for more details.
[15982] Made it possible to collect and reduce embeddings with the SuperGradients integration for any model with a backbone attribute, which applies to the YOLO-NAS family of models
[15980] Added support for recipe-based training in SuperGradients integration

[15944] Avoid unnecessary sample type roundtrip
[15944] Add random_state to base reduction args, as it is available in both pacmap and umap
[15640] Fixed issues with relative paths in configurations by resolving to absolute paths
[16010] Fixed regression in TableFromCoco leading to slow processing by bypassing default values when serializing and iterating
[15989] Improve performance by not considering default value population when data is not None and not composite schema
[15991] Perform SuperGradients metrics collection in chunks to avoid out-of-memory issues
[15986] Made it possible to export segmentations and keypoints with COCOExporter