https://github.com/jin-s13/xtcocoapi

Extended COCO-API
https://github.com/jin-s13/xtcocoapi

aichallenger coco coco-wholebody cocoapi crowdpose mmpose

Last synced: 6 days ago
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Extended COCO-API

• Host: GitHub
• URL: https://github.com/jin-s13/xtcocoapi
• Owner: jin-s13
• License: other
• Created: 2020-08-20T08:20:04.000Z (about 4 years ago)
• Default Branch: master
• Last Pushed: 2023-10-19T07:56:43.000Z (about 1 year ago)
• Last Synced: 2024-10-16T00:39:08.758Z (21 days ago)
• Topics: aichallenger, coco, coco-wholebody, cocoapi, crowdpose, mmpose
• Language: Python
• Homepage:
• Size: 5.31 MB
• Stars: 63
• Watchers: 5
• Forks: 24
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Extended COCO API (xtcocotools)

## News

[2023.10.19] Release xtcocotools v1.14.3. Support python3.7~3.11 on Linux, mac and windows systems.

[2023.09.01] Release xtcocotools v1.14. Solve Cython3.x compatability.

[2022.12.27] Release xtcocotools v1.13. Fix int overflow & solve deprecation in numpy (replace np.float with np.float64).

[2022.04.10] Release xtcocotools v1.12. Fix bugs in APm and APl calculation.

[2022.02.23] Release xtcocotools v1.11. Add Windows/Mac support.

[2021.08.04] Release xtcocotools v1.10. Update installation dependencies.

[2021.07.22] Release xtcocotools v1.9. Merge some useful PRs from cocoapi.

[2021.05.19] Release xtcocotools v1.8. Fix CrowdPose evaluation.

[2021.03.22] Release xtcocotools v1.7. Support multi-part scores for COCO-WholeBody Dataset.

[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](https://github.com/cocodataset/cocoapi). 

We aim to provide a unified evaluation tools to support multiple human pose-related datasets, including [COCO](http://cocodataset.org/), [COCO-WholeBody](https://github.com/jin-s13/COCO-WholeBody), [CrowdPose](https://github.com/Jeff-sjtu/CrowdPose), [AI Challenger](https://github.com/AIChallenger/AI_Challenger_2017) and so on.

xtcocotools has been used in [MMPose](https://github.com/open-mmlab/mmpose) framework.

We provide a simple [demo_crowdpose](demos/demo_crowdpose.py) to evaluate on CrowdPose dataset; 

[demo_coco](demos/demo_coco.py) to evaluate on COCO dataset;

and [demo_coco_wholebody](demos/demo_coco_wholebody.py) to evaluate on COCO-WholeBody dataset;

## Requirements

- Python 3.7+ (Lower versions are not fully tested)

## Installation

To install from pip:

```shell

pip install xtcocotools

```

To install from source:

```shell

pip install -r requirements.txt

python setup.py install

```