Welcome to kwcoco’s documentation!¶
The Kitware COCO module defines a variant of the Microsoft COCO format, originally developed for the “collected images in context” object detection challenge. We are backwards compatible with the original module, but we also have improved implementations in several places, including segmentations and keypoints.
The kwcoco.CocoDataset
class is capable of dynamic addition and removal
of categories, images, and annotations. Has better support for keypoints and
segmentation formats than the original COCO format. Despite being written in
Python, this data structure is reasonably efficient.
- kwcoco package
- Subpackages
- kwcoco.cli package
- kwcoco.demo package
- kwcoco.metrics package
- Submodules
- kwcoco.metrics.assignment module
- kwcoco.metrics.clf_report module
- kwcoco.metrics.confusion_vectors module
- kwcoco.metrics.detect_metrics module
- kwcoco.metrics.drawing module
- kwcoco.metrics.functional module
- kwcoco.metrics.sklearn_alts module
- kwcoco.metrics.util module
- kwcoco.metrics.voc_metrics module
- Module contents
- Submodules
- kwcoco.util package
- Submodules
- Module contents
- Subpackages