semvec/pypi-packages huggingface dataset:
phonexia-emotion-recognition-client 2.0.1
Emotion Recognition Client
Requires Python: >=3.9
Keywords: grpc, stt, speech-to-text, text, transcription, normalization

![](https://www.phonexia.com/wp-content/uploads/phonexia-logo-transparent-500px.png)

# Phonexia emotion recognition client

This module contains client for communication with [emotion recognition](https://hub.docker.com/repository/docker/phonexia/emotion-recognition/general) developed by [Phonexia](https://phonexia.com).

To use this client you will first need a running instance of any *Phonexia emotion recognition microservice*. If you don't yet have any running instance, don't hesitate to [contact our sales department](mailto:info@phonexia.com).

You can learn more about the emotion recognition technology [here](https://docs.phonexia.com/products/speech-platform-4/technologies/emotion-recognition/).

On [this page](https://docs.phonexia.com/products/speech-platform-4/grpc/api/phonexia/grpc/technologies/emotion_recognition/v1/emotion_recognition.proto#emotionrecognition), you will find a *gRPC API* reference for *emotion recognition microservice*.
phonexia-gender-identification-client 2.0.1
Client script for communication with Phonexia gender identification microservice.
Requires Python: >=3.9
Keywords: grpc, voice, voice-biometry, speech, gender, identification, gender identification


![](https://www.phonexia.com/wp-content/uploads/phonexia-logo-transparent-500px.png)

# Phonexia gender identification client

This module contains client for communication with [gender identification microservice](https://hub.docker.com/repository/docker/phonexia/gender-identification/general) developed by [Phonexia](https://phonexia.com).

To use this client you will first need a running instance of any *Phonexia gender identification microservice*. If you don't yet have any running instance, don't hesitate to [contact our sales department](mailto:info@phonexia.com).

You can learn more about the gender identification technology [here](https://docs.phonexia.com/products/speech-platform-4/technologies/gender-identification/).

On [this page](https://docs.phonexia.com/products/speech-platform-4/grpc/api/phonexia/grpc/technologies/gender_identification/v1/gender_identification.proto#genderidentification), you will find a *gRPC API* reference for *gender identification microservice*.
geon 0.1.3
Interactive point cloud inspection and annotation tool.
Requires Python: >=3.10
Keywords: point-cloud, visualization, annotation, vtk, pyqt


<p align="center">
  <img src="resources/logo/geometric-red.png" alt="geon logo" width="350">
</p>

<p align="center">
  <a href="https://github.com/biophase/geon/actions/workflows/ci.yml">
    <img src="https://github.com/biophase/geon/actions/workflows/ci.yml/badge.svg?branch=main" alt="CI">
  </a>
  <a href="https://pypi.org/project/geon/">
    <img src="https://img.shields.io/pypi/v/geon" alt="PyPI version">
  </a>
  <a href="https://pypi.org/project/geon/">
    <img src="https://img.shields.io/pypi/pyversions/geon" alt="Python versions">
  </a>
  <a href="https://pypi.org/project/geon/">
    <img src="https://img.shields.io/pypi/l/geon" alt="License">
  </a>
</p>


## Introduction
*geon* is a research tool for managing and annotating large point cloud datasets stored in HDF5 file containers. 


## Install guide
The tool is tested with Python 3.10 to 3.12 and under *Windows*, *Linux (Ubuntu)* and *MacOS*.

It requires `vtk` and `PyQt6`.


To install run:
```
pip install geon
```

## Development build
Native extensions are built with CMake via scikit-build-core. You will need a C++17 compiler and CMake. Make sure to clone with `--recursive` to pull submodules.

```
git clone --recursive https://github.com/biophase/geon.git
pip install -e .
```

Building native modules:
- Linux/MacOS:
  ```
  cmake -S . -B build -DCMAKE_BUILD_TYPE=Release \
    -DCMAKE_LIBRARY_OUTPUT_DIRECTORY="$PWD/src/geon/_native"
  cmake --build build -j
  ```
- On Windows (MSVC), use:
  ```
  cmake -S . -B build -G "Visual Studio 17 2022" -A x64 ^
    -DCMAKE_LIBRARY_OUTPUT_DIRECTORY_RELEASE="%CD%\\src\\geon\\_native"
  cmake --build build --config Release
  ```
- OpenMP is used for some kernels when available.

## Running Geon
```
python -m geon.app
```