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VisionViz

Visualization tools for computer vision applications by Intel Open Edge Platform.

Installation

Using uv (recommended):

uv pip install visionviz

Using pip:

pip install visionviz

Usage

import visionviz

# Add usage examples here

Development

To set up the development environment:

  1. Install uv:

    curl -LsSf https://astral.sh/uv/install.sh | sh
    
  2. Clone the repository:

    git clone https://github.com/intel/visionai.git
    cd visionai
    
  3. Create and activate a virtual environment:

    uv venv
    source .venv/bin/activate  # On Unix/macOS
    # or
    .venv\Scripts\activate  # On Windows
    
  4. Install development dependencies:

    uv pip install -e ".[dev]"
    

License

This project is licensed under the Apache License 2.0 - see the LICENSE file for details.

Contributing

We welcome contributions! Please see our Contributing Guide for more details.

Release files for visionviz 0.1.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for visionviz 0.1.0
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visionviz-0.1.0.tar.gz 5.4 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for visionviz 0.1.0
File Interpreter ABI Platform
visionviz-0.1.0-py3-none-any.whl Python 3 none any Details

Total release size: 11.1 kB

Release files / visionviz-0.1.0.tar.gz

Download URL visionviz-0.1.0.tar.gz
Size 5.4 kB
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Release files / visionviz-0.1.0-py3-none-any.whl

Download URL visionviz-0.1.0-py3-none-any.whl
Size 5.7 kB
Tags Python 3
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