semvec/pypi-packages huggingface dataset:
pyppbox-torchreid 1.4.1.0
Customized Torchreid for pyppbox: Deep learning person re-identification.
License: MIT
Requires Python: >=3.8
Keywords: Person Re-Identification, Deep Learning, pyppbox

[![Test Multi](https://github.com/rathaumons/torchreid-for-pyppbox/actions/workflows/test_multi.yaml/badge.svg)](https://github.com/rathaumons/torchreid-for-pyppbox/actions/workflows/test_multi.yaml) 
[![Test Build Python [3.9-3.13]](https://github.com/rathaumons/torchreid-for-pyppbox/actions/workflows/test_build.yaml/badge.svg)](https://github.com/rathaumons/torchreid-for-pyppbox/actions/workflows/test_build.yaml) 
[![Publish to PyPI](https://github.com/rathaumons/torchreid-for-pyppbox/actions/workflows/publish_pypi.yaml/badge.svg)](https://github.com/rathaumons/torchreid-for-pyppbox/actions/workflows/publish_pypi.yaml)

# Customized Torchreid for pyppbox

`Torchreid` is a library for deep-learning person re-identification using [PyTorch](https://pytorch.org/), and `pyppbox-torchreid` is a customized `Torchreid` for [`pyppbox`](https://github.com/rathaumons/pyppbox) and:
- Ensures that `Cython` natively works on all OS platforms (Windows/Linux/macOS), 
- Enables freedom of passing local model/weight files from anywhere, 
- Disables some models which are not used in [`pyppbox`](https://github.com/rathaumons/pyppbox).

All source credit and more info -> [Original KaiyangZhou's repo](https://github.com/KaiyangZhou/deep-person-reid). 

## 💽 Install

Use the pre-built [wheel in releases](https://github.com/rathaumons/torchreid-for-pyppbox/releases) or install from [PyPI](https://pypi.org/project/pyppbox-torchreid/): 

```
pip install pyppbox-torchreid
```

<details><summary>Other options</summary>

### Install from GitHub repo (Require C++ compiler):

```
pip install git+https://github.com/rathaumons/torchreid-for-pyppbox.git
```

### Build and install (Require C++ compiler):

```
git clone https://github.com/rathaumons/torchreid-for-pyppbox/
cd torchreid-for-pyppbox
python -m pip install --upgrade pip
pip install wheel build
python -m build --sdist
python -m build --wheel
cd dist
```

</details>

## 🔬 Test

Make sure you install `pyppbox-torchred`, [OpenCV](https://github.com/opencv/opencv-python), [PyTorch](https://pytorch.org/) and other [requirements](https://github.com/rathaumons/torchreid-for-pyppbox/blob/main/requirements.txt); for example, with GPU support on Windows:

```
pip install opencv-contrib-python
pip install torch torchvision --index-url https://download.pytorch.org/whl/cu121
pip install pyppbox-torchreid
```

Test Cython `rank_cylib`

```
git clone https://github.com/rathaumons/torchreid-for-pyppbox.git
cd torchreid-for-pyppbox/pyppbox_torchreid/metrics/rank_cylib
python test_cython.py
```
toshiba-ac-ir-codegen 1.0.0
Toshiba IR Remove Control Code Generator
License: MIT

.. These are examples of badges you might want to add to your README:
   please update the URLs accordingly

    .. image:: https://api.cirrus-ci.com/github/<USER>/toshiba-ac.svg?branch=main
        :alt: Built Status
        :target: https://cirrus-ci.com/github/<USER>/toshiba-ac
    .. image:: https://readthedocs.org/projects/toshiba-ac/badge/?version=latest
        :alt: ReadTheDocs
        :target: https://toshiba-ac.readthedocs.io/en/stable/
    .. image:: https://img.shields.io/coveralls/github/<USER>/toshiba-ac/main.svg
        :alt: Coveralls
        :target: https://coveralls.io/r/<USER>/toshiba-ac
    .. image:: https://img.shields.io/pypi/v/toshiba-ac.svg
        :alt: PyPI-Server
        :target: https://pypi.org/project/toshiba-ac/
    .. image:: https://img.shields.io/conda/vn/conda-forge/toshiba-ac.svg
        :alt: Conda-Forge
        :target: https://anaconda.org/conda-forge/toshiba-ac
    .. image:: https://pepy.tech/badge/toshiba-ac/month
        :alt: Monthly Downloads
        :target: https://pepy.tech/project/toshiba-ac
    .. image:: https://img.shields.io/twitter/url/http/shields.io.svg?style=social&label=Twitter
        :alt: Twitter
        :target: https://twitter.com/toshiba-ac

.. image:: https://img.shields.io/badge/-PyScaffold-005CA0?logo=pyscaffold
    :alt: Project generated with PyScaffold
    :target: https://pyscaffold.org/

|

=====================
Toshiba-ac-ir-codegen
=====================


    A Toshiba AC IR code generator to control your ACs.


This code is inspired / backport of cli tool written in Golang by Mario Hros (source on https://github.com/k3a/toshiba-ac)
It aimed to be used in Home Assistant via LocalTuya integration (to be added)

For now it provide a simple API to generate the code and to format it so that it is ready to be used with TinyTuya.


.. _pyscaffold-notes:

Note
====

This project has been set up using PyScaffold 4.4. For details and usage
information on PyScaffold see https://pyscaffold.org/.