Introduction
A tool for object detection and image segmentation dataset format conversion.
Supports conversion between labelme tool annotated data, labelImg tool annotated data, YOLO, PubLayNet and COCO data set formats.
Supported conversions
flowchart LR
A(YOLOv5) --> B(COCO)
C(YOLOv5 YMAL) --> B
D(darknet) --> B
E(labelme) --> B
B --> F(labelImg)
F --> G(PubLayNet)
F --> J(YOLOv5)
J --> H(YOLOv8)
H --> J
H --> B
Installation
pip install label_convert
Documentation
Full documentation can be found on docs in Chinese.
Contributing
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
Please make sure to update tests as appropriate.
License
Metadata
Release files for label-convert 0.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| label_convert-0.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Release files / label_convert-0.3.0-py3-none-any.whl
| Download URL | label_convert-0.3.0-py3-none-any.whl |
|---|---|
| Size | 34.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
5c5c7aeda7fc4cbbe3e160b4e1943709435194c6115800b2301e883381efe02f
|
|
BLAKE2b-256 checksum How to use checksums |
2ef79cb4392ad23ce9c5d3472832d16eea0d6c2b80d9b29517b367fb5159f6ce
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.9.25
|