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xtcocoapi's Introduction

Extended COCO API (xtcocotools)

News

[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.

Introduction

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;

Installation

To install from pip:

pip install xtcocotools

To install from source:

make

xtcocoapi's People

Contributors

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