COCO-Assistant
Helper for dealing with MS-COCO annotations.
Overview
The MS COCO annotation format along with the pycocotools library is quite popular among the computer vision community. Yet I for one found it difficult to play around with the annotations. Deleting a specific category, combining multiple mini datasets to generate a larger dataset, viewing distribution of classes in the annotation file are things I would like to do without writing a separate script for each scenario.
The COCO Assistant is designed (or being designed) to assist with this problem. Please note that currently, the Assistant can only help out with object detection datasets. Any contributions and/or suggestions are welcome.
Package features
COCO-Assistant currently supports the following features:
- Merge datasets.
- Remove specfiic category from dataset.
- Generate annotations statistics - distribution of object areas and category distribution.
- Annotation visualiser for viewing the entire dataset.
Metadata
Release files for coco-assistant 0.4.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| coco_assistant-0.4.0.tar.gz | 17.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| coco_assistant-0.4.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 34.3 kB
Release files / coco_assistant-0.4.0.tar.gz
| Download URL | coco_assistant-0.4.0.tar.gz |
|---|---|
| Size | 17.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.1.7 CPython/3.7.11 Linux/4.15.0-1106-aws
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Release files / coco_assistant-0.4.0-py3-none-any.whl
| Download URL | coco_assistant-0.4.0-py3-none-any.whl |
|---|---|
| Size | 17.0 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.1.7 CPython/3.7.11 Linux/4.15.0-1106-aws
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