yolo2labelme
A python script for converting annotation format(yolo-txt to labelme-json).
Installation
pip install yolo-to-labelme
Usage
Arguments:
--yolo : path to YOLO annotations directory.
--labelme(optional) : path to output directory.
--width(optional) : default value is 1024.
--height(optional) : default value is 1024.
--classes : Path to the classes file(TXT format).
--img_ext(optional) : Default extention is "jpg".
CLI Usage:
Specify yolo-labels-directory, output directory(optional), classes file, image size(width, height)(optional), and image extention(optional).
yolotolabelme --yolo path/to/yoloAnnotations --labelme path/to/output --classes path/to/classes-file
Useful links
Github code: https://github.com/adeel-maker/yolotolabelme/
Yolo to labelme: https://pypi.org/project/yolo-to-labelme/
Lableme to yolo : https://pypi.org/project/labelme2yolo/
Metadata
Release files for yolo-to-labelme 0.0.8
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| yolo-to-labelme-0.0.8.tar.gz | 4.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| yolo_to_labelme-0.0.8-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 8.3 kB
Release files / yolo-to-labelme-0.0.8.tar.gz
| Download URL | yolo-to-labelme-0.0.8.tar.gz |
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| Size | 4.0 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / yolo_to_labelme-0.0.8-py3-none-any.whl
| Download URL | yolo_to_labelme-0.0.8-py3-none-any.whl |
|---|---|
| Size | 4.3 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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