semvec/pypi-packages huggingface dataset:
auto-translate 1.5
A simple automatic translation library
Requires Python: >=3.6

# Auto Translate

Auto Translate is a simple Python package that automatically translates text to a selected language.

## Installation

```sh
pip install auto_translate
```

## Usage

```sh 
from auto_translate import AutoTranslate

translate = AutoTranslate("es")  # Set preferred language to Spanish
text = translate.translate("Hello, how are you?")
print(text)  # Output: "Hola, Â¿cÃ³mo estÃ¡s?"
```
## License

```sh
This project is licensed under the MIT License.
```

---
ParticleDetection 0.4.4.dev15
Tools to track particles with machine learning.
Requires Python: <3.13,>=3.8

# Particle Detection
This repository customizes the training, inference and visualization code of the **Detectron2** framework to accurately detect rod-like particles. It additionally provides functionality to track these detected particles over multiple frames and reconstruct 3D representations of these observed granular gases.

![Rod Detection Output Image](https://user-images.githubusercontent.com/34780470/214838680-4474e35c-4277-4ac9-8649-3940aa122eeb.jpg)

Please refer to the [documentation](https://particletracking.readthedocs.io/en/stable/index.html) for more detailed information.

## Installation
Install the default version using pip:
```shell
pip install ParticleDetection
```
Or use one of the options described in the [documentation](https://particletracking.readthedocs.io/en/stable/installation/particledetection.html). **Some options require manual installation of additional libraries.**
```shell
pip install ParticleDetection[OPTION]
```

It is also possible to install it directly from GitHub:
```shell
pip install 'git+https://github.com/ANP-Granular/ParticleTracking.git#egg=particledetection&subdirectory=ParticleDetection'
```
```shell
pip install 'particledetection[DETECTRON] @ git+https://github.com/ANP-Granular/ParticleTracking.git#egg=
particledetection&subdirectory=ParticleDetection'
```