Practical overview
When it fits
Use it during dataset preparation when annotations need to be represented in COCO's polygon or uncompressed RLE formats.
Who it is for
- Computer-vision practitioners preparing datasets for COCO-compatible workflows.
- Python developers who need helper functions for COCO polygon or crowd-region RLE annotations.
Documented uses
- Prepare a computer-vision dataset in COCO format.
- Generate polygon annotations in the format required by COCO.
- Generate uncompressed RLE annotations for crowd regions.
Requirements & limits
- The README documents installation from the Git repository at version 0.2.0.
- The README includes separate setup steps for pycocotools on Python 3: install python3-dev, Cython, and the specified coco package.
- The project is identified as Apache-2.0 licensed.
Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.
Install pycococreator 0.2.0
Install pycococreator from its GitHub repository using the documented pip command.
Before you start
- Python environment with pip.
Steps
Run the command below.
pip install git+git://github.com/waspinator/pycococreator.git@0.2.0If you need pycocotools for Python 3, install
python3-devwithsudo apt-get install python3-dev, then run the command below and the command below.pip install cythonpip install git+git://github.com/waspinator/coco.git@2.1.0
Expected outcome
The documented installation commands are run for pycococreator, with optional Python 3 pycocotools dependencies.
Guide limitations
- The README provides installation commands but does not document a usage workflow or a way to verify installation.
- The Python 3 dependency instructions are conditional on needing pycocotools.
Sources & review
Source record details
- Source availability
- Active
- Sources checked
- 15 October 2026
- Original website title
- waspinator/pycococreator · Official homepage title · retained in its source language

