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version: 2 | ||
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build: | ||
os: ubuntu-22.04 | ||
os: ubuntu-24.04 | ||
tools: | ||
python: "3.12" | ||
jobs: | ||
install: | ||
- pip install -r requirements-docs.txt | ||
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mkdocs: | ||
configuration: mkdocs.yml | ||
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python: | ||
install: | ||
- requirements: docs/requirements.txt |
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Welcome to AIPOSE's Documentation | ||
# Welcome to AIPOSE Documentation | ||
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aipose is a Python library for using pose estimation easily in your Python project. | ||
<img src="https://raw.githubusercontent.com/Tlaloc-Es/aipose/master/logo.png" width="200" height="240"/> | ||
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Check out the usage section for further information, including how to install the project. | ||
**AIPOSE** is a powerful and user-friendly Python library designed to make pose estimation simple and efficient for your Python projects. | ||
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Note: This project is under active development. | ||
Whether you're working on applications in computer vision, motion tracking, or interactive systems, **AIPOSE** provides a seamless integration of pose estimation capabilities. | ||
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--- | ||
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### 🚀 **Why Use AIPOSE?** | ||
- Simplifies pose estimation workflows. | ||
- Flexible and easy-to-integrate with existing Python projects. | ||
- Supports multiple pose estimation models. | ||
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--- | ||
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Ready to dive in? Explore the documentation to unleash the full potential of pose estimation with **AIPOSE**. |
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document.addEventListener("DOMContentLoaded", function(event) { | ||
// Trigger Read the Docs' search addon instead of Material MkDocs default | ||
document.querySelector(".md-search__input").addEventListener("focus", (e) => { | ||
const event = new CustomEvent("readthedocs-search-show"); | ||
document.dispatchEvent(event); | ||
}); | ||
}); |
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# Models | ||
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## YoloV7 | ||
::: aipose.models.yolov7.domain |
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