ciofcheck 0.1.13

A tool for checking and analyzing image sequences

ciofcheck

A command-line tool for analyzing and validating image sequences. Easily check for missing frames, verify file sizes, and visualize sequence patterns.

Installation

Install directly from PyPI:

pip install ciofcheck

Usage

Basic usage:

ciofcheck "myfile[1-100####].png"

The pattern syntax supports:

• Frame ranges: [1-100####]
• Individual frames: [1,5,10####]
• Mixed specifications: [1,5,10-20####]

Options

ciofcheck --help

Display Options

1. Summary (default)

   ciofcheck "myfile[1-100####].png"
   

   Shows basic statistics about the sequence including missing frames and file sizes.

2. ASCII Chart

   ciofcheck "myfile[1-100####].png" --display ascii
   

   Displays a text-based visualization of file sizes.

3. Bar Chart

   ciofcheck "myfile[1-100####].png" --display bar
   

   Opens an interactive bar chart visualization.

Examples

Check a sequence of PNG files:

ciofcheck "render[1-100####].png"

Analyze specific frames:

ciofcheck "shot[1,5,10-20####].exr"

View as ASCII chart with custom width:

ciofcheck "frame[1-50###].jpg" --display ascii --width 120

Contributing

Contributions are welcome! Here's how you can help:

1. Fork the repository
2. Create a new branch (git checkout -b feature/amazing-feature)
3. Make your changes
4. Run the tests (poetry run pytest)
5. Commit your changes (git commit -m 'Add amazing feature')
6. Push to the branch (git push origin feature/amazing-feature)
7. Open a Pull Request

Development Setup

1. Clone the repository:

   git clone https://github.com/conductorTechnologies/ciofcheck.git
   cd ciofcheck
   

2. Install Poetry if you haven't already:

   curl -sSL https://install.python-poetry.org | python3 -
   

3. Install dependencies:

   poetry install
   

4. Activate the virtual environment:

   poetry shell
   

License

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

Authors

• Julian Mann - Initial work - Julian Mann