semvec/pypi-packages huggingface dataset:
yolo2labelme 0.0.7
Tool to convert yolo format dataset to labelme json format.
Requires Python: >=3.7

# 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/
Math2LS 0.0.1
A Python module for maths tools and logic.
Requires Python: >=3.8

# Math2LS
![Logo](https://github.com/pid-j/Math2LS/assets/146737777/a7b26e63-4541-49c9-93be-d02f727e2295)
<br><br>
A Python module for simple maths tools and logic.
FRU-bias 0.0.4
A bias measure using the fuzzy rough set theory

# Using fuzzy-rough sets to measure bias in pattern classification problems

This python package contains a bias metric based on the paper *"A fuzzy-rough uncertainty measure to discover bias encoded explicitly or implicitly in features of structured pattern classification datasets"* ([Link to publication](https://doi.org/10.1016/j.patrec.2022.01.005)). 

This bias metric measures the extent to which a feature in a dataset influences the outcome variable.
Math2LS-Pidjin 0.0.1
A Python module for maths tools and logic.
Requires Python: >=3.8

# Math2LS
![Logo](https://github.com/pid-j/Math2LS/assets/146737777/a7b26e63-4541-49c9-93be-d02f727e2295)
<br><br>
A Python module for simple maths tools and logic.