| Name | yolo2labelme JSON |
| Version |
0.0.7
JSON |
| download |
| home_page | |
| Summary | Tool to convert yolo format dataset to labelme json format. |
| upload_time | 2023-11-23 17:23:26 |
| maintainer | |
| docs_url | None |
| author | |
| requires_python | >=3.7 |
| license | |
| keywords |
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
Pillow
PyYAML
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# yolo2labelme
Tool to convert yolo format dataset to labelme json format.
## Installation
```bash
pip install yolo2labelme
```
## Usage
Arguments:
`data` : path to dataset directory
Keyword arguments:
`out` : path to output directory. Default dataset is created at same path as data_dir with name labelmeDataset.
`skip` : action to take if `.txt` file corresponding to image is not found.
- `False` (default) raises `FileNotFoundError`.
- `print` prints missing file path to stdout.
- `True` or any other value skips file silently.
### CLI Usage:
Following command creates labelme json dataset directory at `path/to/yolo/labelmeDataset` from `path/to/yolo/dataset` dataset directory.
```bash
yolo2labelme path/to/yolo/dataset
```
Specify output directory, skip.
```bash
yolo2labelme path/to/yoloDataset --out path/to/labelmeJsonDir --skip print
```
### Python Usage:
```python
from yolo2lableme import yolo2labelme
yolo2labelme('path/to/yolo/dataset')
```
With output directory and skip action
```python
yolo2labelme('path/to/yolo/dataset','path/to/labelme/dataset',skip=True)
```
Or simply
```python
from yolo2labelme import y2l
y2l('path/to/dataset')
```
## Useful links
https://github.com/kadapallaNithin/yolo2labelme
https://pypi.org/project/yolo2labelme/
Lableme to yolo : https://pypi.org/project/labelme2yolo/
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"description": "# yolo2labelme\r\n\r\nTool to convert yolo format dataset to labelme json format.\r\n\r\n## Installation\r\n```bash\r\npip install yolo2labelme\r\n```\r\n## Usage\r\nArguments:\r\n\r\n`data` : path to dataset directory\r\n\r\nKeyword arguments:\r\n\r\n`out` : path to output directory. Default dataset is created at same path as data_dir with name labelmeDataset.\r\n\r\n`skip` : action to take if `.txt` file corresponding to image is not found.\r\n- `False` (default) raises `FileNotFoundError`.\r\n- `print` prints missing file path to stdout.\r\n- `True` or any other value skips file silently.\r\n### CLI Usage:\r\n\r\nFollowing command creates labelme json dataset directory at `path/to/yolo/labelmeDataset` from `path/to/yolo/dataset` dataset directory.\r\n```bash\r\nyolo2labelme path/to/yolo/dataset\r\n```\r\n\r\nSpecify output directory, skip.\r\n\r\n```bash\r\nyolo2labelme path/to/yoloDataset --out path/to/labelmeJsonDir --skip print\r\n```\r\n\r\n### Python Usage:\r\n```python\r\nfrom yolo2lableme import yolo2labelme\r\nyolo2labelme('path/to/yolo/dataset')\r\n```\r\nWith output directory and skip action\r\n```python\r\nyolo2labelme('path/to/yolo/dataset','path/to/labelme/dataset',skip=True)\r\n```\r\nOr simply\r\n```python\r\nfrom yolo2labelme import y2l\r\ny2l('path/to/dataset')\r\n```\r\n## Useful links\r\nhttps://github.com/kadapallaNithin/yolo2labelme\r\n\r\nhttps://pypi.org/project/yolo2labelme/\r\n\r\nLableme to yolo : https://pypi.org/project/labelme2yolo/\r\n",
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