semvec/pypi-packages huggingface dataset:
poly2pascal 0.0.5
Convert POLYGON bounding boxes from .csv files to .xml annotation files in the Pascal VOC format for computer vision projects.

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# poly2pascal
Convert POLYGON bounding boxes from `.csv` files to `.xml` annotation files in the Pascal VOC format for computer vision projects. Read the package documentation [here](https://ruankie.github.io/poly2pascal/).

## Installation
Install `poly2pascal` with pip
```bash
  pip install poly2pascal
```

## Usage
See the example notebook for more details. Here are the essentials of how to use this package:
```python
# import annotator
from poly2pascal.annotations import XMLAnnotator

# create annotator
xmla = XMLAnnotator(
    images_path="path/to/images", 
    csv_file_path="path/to/csv/file.csv", 
    image_name_col="<image_name_column>",
    image_label_col="<object_label_column>", 
    xml_output_path="path/to/xml/annotation/output"
)

# create xml annotation files in Pascal VOC format
xmla.get_all_xml_annotations(img_format=".jpg")
```

## Required Data Format
This package requires a `.csv` file with the following format of images and polygon annotations. These will be converted to `.xml` annotation files in the Pascal VOC format:

  | image_name | object_label | geometry                                                                                   |
  |------------|--------------|--------------------------------------------------------------------------------------------|
  | img_01.jpg | cat          | POLYGON ((2478.89 156.77, 2478.89 297.86, 2377.97 297.86, 2377.97 156.77, 2478.89 156.77)) |
  | img_02.jpg | cat          | POLYGON ((939.81 1221.46, 939.81 1319.68, 715.39 1319.68, 715.39 1221.46, 939.81 1221.46)) |
  | img_03.jpg | dog          | POLYGON ((1559.7 1558.06, 1559.7 1966.3, 1129.73 1966.3, 1129.73 1558.06, 1559.7 1558.06)) |


## Licence
* [MIT](https://github.com/ruankie/poly2pascal/blob/main/LICENSE)

## Authors
- [@ruankie](https://www.github.com/ruankie)
python-signal 0.0.2
Python Signal Event Python package
Requires Python: >=3.6

# PythonSignal Signal/Event Python PyPackage

A small implementation of signals, inspired by a snippet of Django signal

## Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install foobar.

```bash
pip install python_sginal
```

```python
#Define NameSpace
from python_signal import Namespace
_signals = Namespace()

#reciever
user_login = _signals.signal('user_login')

@user_login.connect
def after_user_login(current_user):
    pass

#sender
user_login.send(user)
```

## Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

## License

[MIT](https://choosealicense.com/licenses/mit/)
fourier-transforms 0.0.1
Fast Fourier Transform (FFT) and Discrete Fourier Transform (DFT) implementations
Requires Python: >=3.7

# fourier_transforms

Description. 
The package fourier_transforms is used to:
	- Fast Fourier Transform (FFT)
	- Discrete Fourier Transform (DFT)

## Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install package_name

```bash
pip install fourier_transforms
```

## Author
Ygor

## License
[MIT](https://choosealicense.com/licenses/mit/)