Metadata-Version: 2.2
Name: hub-sdk
Version: 0.0.18
Summary: Ultralytics HUB Client SDK.
Author-email: Ultralytics <hello@ultralytics.com>
Maintainer-email: Ultralytics <hello@ultralytics.com>
License: AGPL-3.0
Project-URL: Homepage, https://ultralytics.com
Project-URL: Source, https://github.com/ultralytics/hub-sdk
Project-URL: Documentation, https://docs.ultralytics.com
Project-URL: Bug Reports, https://github.com/ultralytics/hub-sdk/issues
Project-URL: Changelog, https://github.com/ultralytics/hub-sdk/releases
Keywords: machine-learning,deep-learning,computer-vision,ML,DL,AI,YOLO,YOLOv3,YOLOv5,YOLOv8,HUB,Ultralytics
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU Affero General Public License v3 or later (AGPLv3+)
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Image Recognition
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: MacOS
Classifier: Operating System :: Microsoft :: Windows
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: requests
Provides-Extra: dev
Requires-Dist: pytest; extra == "dev"
Requires-Dist: pytest-cov; extra == "dev"
Requires-Dist: coverage[toml]; extra == "dev"
Requires-Dist: mkdocs>=1.6.0; extra == "dev"
Requires-Dist: mkdocs-material; extra == "dev"
Requires-Dist: mkdocstrings[python]; extra == "dev"
Requires-Dist: mkdocs-redirects; extra == "dev"
Requires-Dist: mkdocs-ultralytics-plugin>=0.1.8; extra == "dev"

<br>
<a href="https://www.ultralytics.com/" target="_blank"><img src="https://raw.githubusercontent.com/ultralytics/assets/main/logo/Ultralytics_Logotype_Original.svg" width="320" alt="Ultralytics logo"></a>

# 🚀 Ultralytics HUB-SDK

[![HUB-SDK CI](https://github.com/ultralytics/hub-sdk/actions/workflows/ci.yml/badge.svg)](https://github.com/ultralytics/hub-sdk/actions/workflows/ci.yml) <a href="https://discord.com/invite/ultralytics"><img alt="Discord" src="https://img.shields.io/discord/1089800235347353640?logo=discord&logoColor=white&label=Discord&color=blue"></a> <a href="https://community.ultralytics.com/"><img alt="Ultralytics Forums" src="https://img.shields.io/discourse/users?server=https%3A%2F%2Fcommunity.ultralytics.com&logo=discourse&label=Forums&color=blue"></a> <a href="https://reddit.com/r/ultralytics"><img alt="Ultralytics Reddit" src="https://img.shields.io/reddit/subreddit-subscribers/ultralytics?style=flat&logo=reddit&logoColor=white&label=Reddit&color=blue"></a>

Welcome to the Ultralytics HUB-SDK documentation! 📖 Our aim is to guide you through the installation process and help you get started with using HUB-SDK for your machine learning endeavors.

## 🛠 Quickstart: Installing HUB-SDK

Ready to dive into HUB-SDK? Follow these steps to set it up on your machine.

### Prerequisites

Ensure you have the following requirements met before proceeding:

- **Python:** HUB-SDK requires Python. Download and install Python from [python.org](https://www.python.org/downloads/) if it's not already installed on your system.

- **Git (Optional):** If you're looking to install HUB-SDK via the GitHub repository, you'll need Git. Grab Git from [git-scm.com](https://git-scm.com/downloads) if you don't have it.

### Installation Methods

Choose from the following options to install HUB-SDK:

#### Installing from PyPI

[![PyPI version](https://badge.fury.io/py/hub-sdk.svg)](https://badge.fury.io/py/hub-sdk) [![Downloads](https://static.pepy.tech/badge/hub-sdk)](https://www.pepy.tech/projects/hub-sdk)

For the latest stable release of HUB-SDK, use PyPI by running the following command:

```sh
pip install hub-sdk
```

### 🚀 Usage

Let's begin using the HUB-SDK to perform CRUD operations for Models, Datasets, and Projects.

#### 1. Import HUB-SDK

Start by importing the `HUBClient` from the `hub_sdk` module with `from hub_sdk import HUBClient`.

#### 2. Authenticate with Credentials

Set your credentials using one of the following methods:

##### Using API Key

```python
# Authenticate using an API key
credentials = {"api_key": "YOUR_API_KEY"}
```

or

##### Using Email and Password

```python
# Authenticate using your email and password
credentials = {"email": "YOUR_EMAIL", "password": "YOUR_PASSWORD"}
```

#### 3. Initialize the HUBClient

With your credentials ready, initialize the `HUBClient`:

```python
from hub_sdk import HUBClient

# Initialize the client with your credentials
client = HUBClient(credentials)
```

#### Operations

Below are code snippets demonstrating create, read, update, and delete (CRUD) operations for Projects, Models, and Datasets.

#### Project Operations

Managing projects is simple:

```python
# Manipulate a project with the given ID
project = client.project("PROJECT_ID")

# Create a new project with the specified data
create_project = project.create_project("PROJECT_DATA")

# Update the existing project with new data
update_project = project.update("UPDATE_DATA")

# Delete the project
deleted_project = project.delete()
```

#### Model Operations

Handle models effortlessly:

```python
# Engage with a model using the given ID
model = client.model("MODEL_ID")

# Create a new model providing the necessary data
create_model = model.create_project("MODEL_DATA")

# Update the model using provided data
update_model = model.update("UPDATE_DATA")

# Remove the model from the system
deleted_model = model.delete()
```

#### Dataset Operations

Datasets operations are straightforward:

```python
# Interact with a dataset using the specified ID
dataset = client.dataset("DATASET_ID")

# Establish a new dataset given the data
create_dataset = dataset.create_project("DATASET_DATA")

# Adjust the dataset with updated information
update_dataset = dataset.update("UPDATE_DATA")

# Erase the dataset
deleted_dataset = dataset.delete()
```

## 🚀 Ultralytics HUB

Experience seamless AI with [Ultralytics HUB](https://www.ultralytics.com/hub) ⭐, the all-in-one platform for data visualization, model training, and deployment using YOLO11 🚀. Effortlessly transform images into actionable insights without writing any code. Bring your AI visions to life with our user-friendly [Ultralytics App](https://www.ultralytics.com/app-install) and cutting-edge tools. Start your journey for **Free** today!

<a href="https://www.ultralytics.com/hub" target="_blank">
<img width="100%" src="https://github.com/ultralytics/assets/raw/main/im/ultralytics-hub.png" alt="Ultralytics HUB preview image"></a>

## 💡 Contribute

We're thrilled to have you contribute to Ultralytics' open-source projects! Your support and contributions make a world of difference. Get involved by checking out our [Contributing Guide](https://docs.ultralytics.com/help/contributing/), and share your feedback through our [Survey](https://www.ultralytics.com/survey?utm_source=github&utm_medium=social&utm_campaign=Survey). A massive thank you 🙏 to everyone who contributes!

<a href="https://github.com/ultralytics/yolov5/graphs/contributors">
<img width="100%" src="https://github.com/ultralytics/assets/raw/main/im/image-contributors.png" alt="Ultralytics open-source contributors"></a>

## 📄 License

Ultralytics provides two types of licensing options:

- **AGPL-3.0 License**: An [OSI-approved](https://opensource.org/license) open-source license. Ideal for academics, researchers, and enthusiasts, this license promotes sharing knowledge and collaboration. See the [LICENSE](https://github.com/ultralytics/ultralytics/blob/main/LICENSE) file for details.

- **Enterprise License**: Tailored for commercial applications, this license allows for the integration of Ultralytics software into proprietary products and services. If you're considering using our solutions commercially, please get in touch through [Ultralytics Licensing](https://www.ultralytics.com/license).

## 🤝 Contact

- Submit Ultralytics bug reports and feature requests via [GitHub Issues](https://github.com/ultralytics/hub-sdk/issues).
- Join our [Discord](https://discord.com/invite/ultralytics) for assistance, questions, and discussions with the community and team!

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