imagetokenizer 0.0.2

Creator: bradpython12

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Description:

imagetokenizer 0.0.2

ImageTokenizer: Unified Image and Video Tokenization
Welcome to the ImageTokenizer repository! 🎉 This Python package is designed to simplify the process of image and video tokenization, a crucial step for various applications such as image/video generation and understanding. We provide a variety of popular tokenizers with a simple and unified interface, making your coding experience seamless and efficient. 🛠️
Features

Unified Interface: A consistent API for all supported tokenizers.
Extensive Support: Covers a range of popular image and video tokenizers.
Easy Integration: Quick setup and integration with your projects.

Supported Tokenizers
Here's a list of the current supported image tokenizers:

OmniTokenizer: Versatile tokenizer capable of handling both images and videos.
OpenMagvit2: An open-source version of Magvit2, renowned for its excellent results.

Getting Started
To get started with ImageTokenizer, follow these simple steps:
Installation
You can install ImageTokenizer using pip:
pip install imagetokenizer

Usage
Here's a quick example of how to use OmniTokenizer:
from imagetokenizer import Magvit2Tokenizer

# Initialize the tokenizer
image_tokenizer = Magvit2Tokenizer()

# Tokenize an image
quants, embedding, codebook_indices = image_tokenizer.encode("path_to_your_image.jpg")

# Print the tokens
print(image_tokens)

image = image_tokenizer.decode(quants)

Documentation
For more detailed information and examples, please refer to our official documentation.
Contributing
We welcome contributions! If you have an idea for a new tokenizer or want to improve existing ones, feel free to submit a pull request or create an issue. 🔧
License
ImageTokenizer is open-source and available under the MIT License.
Community

Join our Slack Channel to discuss and collaborate.
Follow us on Twitter for updates and news.

Acknowledgements
We would like to thank all the contributors and the community for their support and feedback. 🙏

License

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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