[2020.10.17] Release xtcocotools v1.6. Fix CrowdPose stats.
[2020.9.14] Release xtcocotools v1.5. Support COCO-WholeBody Dataset.
[2020.8.25] Release xtcocotools v1.0. Support COCO, AIChallenger, and CrowdPose Dataset.
COCO has become a standard annotation format for the task of person keypoint detection, and is widely used for multiple datasets. Our Extended COCO API is developed based on @cocodataset/cocoapi.
We aim to provide a unified evaluation tools to support multiple human pose-related datasets, including COCO, COCO-WholeBody, CrowdPose, AI Challenger and so on.
xtcocotools has been used in MMPose framework.
We provide a simple demo_crowdpose to evaluate on CrowdPose dataset; demo_coco to evaluate on COCO dataset; and demo_coco_wholebody to evaluate on COCO-WholeBody dataset;
To install from pip:
pip install xtcocotoolsTo install from source:
python setup.py install