ArtCam Pro

A real-time camera effects application with extensive filter options for creative video processing.

Features

ArtCam Pro provides a wide range of visual effects organized into categories:

• Basic Filters: Invert, contrast, saturation, color depth adjustments
• Edge & Sketch: Canny, Sobel, Neon, Comic Ink edge detection and sketching
• Glitch & Optical: RGB split, jitter, block shifts, kaleidoscope, swirl effects
• Looks & Light: Sepia, Cyberpunk, Duotone presets, vignette, bloom
• Temporal Effects: Motion trails, ghosting, time smear, temporal echo
• Geometry & Texture: Mosaic, ASCII art, halftone dots, oil painting, watercolor
• Time Abuse: Freeze cells, memory burn, time jitter, slit-scan
• Destructive Color: Color collapse, hue shatter, bit rot, palette decay
• Digital Violence: Compression artifacts, row desync, packet loss
• Spatial Chaos: Pixel gravity, reality tear, voronoi destruction
• Perception Weirdness: Motion hallucination, impossible colors, edge overload
• Hybrids: Time-delayed mirrors, motion fossils, chrono-pixel sorting
• Minimalism: Single pixel, average reality, camera amnesia
• Performance Art: Surveillance degradation, digital death, resurrection loop
• GPU Accelerated: OpenCL-accelerated filters for better performance

Pipeline Modes

Choose from various camera pipeline transformations:

• Area Scan
• Vertical/Horizontal Split
• Quad Mirror
• Radial Mirror
• Recursive Grid
• Time-Shifted Split
• RGB Channel Split
• Infinite Tunnel
• Checkerboard Mirror
• Kaleidoscope 8-way
• Scanline Interlace
• Glitch Grid
• Vertical/Horizontal Slit Scan

Virtual Camera Support

Enable virtual camera output to use processed video in other applications (requires pyvirtualcam).

Requirements

• Python 3.7+
• OpenCV
• NumPy
• PyQt6
• pyvirtualcam (optional, for virtual camera)

Installation

1. Clone the repository:

git clone https://github.com/yourusername/artcam-pro.git
cd artcam-pro

2. Run the startup script (recommended):

./start.sh

This will:

• Create a virtual environment
• Install all dependencies
• Launch the application

Manual Installation

If you prefer manual setup:

python3 -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate
pip install -r requirements.txt
python main.py

Usage

Run the application:

python main.py

Or use the startup script:

./start.sh

• Select a camera from the dropdown
• Choose a pipeline mode
• Adjust filters using the tabbed interface
• Enable virtual camera if desired

Project Structure

ArtCam/
├── main.py                 # Entry point
├── camera_manager.py       # Camera and virtual camera management
├── requirements.txt        # Python dependencies
├── filters/                # Image processing modules
│   ├── __init__.py
│   ├── image_processor.py  # Main processor class
│   ├── pipeline_filters.py # Pipeline transformations
│   ├── basic_filters.py    # Basic adjustments
│   ├── glitch_filters.py   # Glitch effects
│   ├── temporal_filters.py # Time-based effects
│   ├── destructive_filters.py # Color destruction
│   ├── spatial_filters.py  # Spatial distortions
│   ├── perception_filters.py # Perception effects
│   ├── hybrid_filters.py   # Mixed effects
│   ├── minimalism_filters.py # Minimalist effects
│   ├── performance_filters.py # Performance art
│   └── gpu_filters.py      # GPU-accelerated filters
├── gui/                    # User interface
│   ├── __init__.py
│   ├── main_window.py      # Main application window
│   └── tabs/               # UI tabs
│       ├── basic_tab.py
│       ├── edge_tab.py
│       ├── glitch_tab.py
│       ├── looks_tab.py
│       ├── temporal_tab.py
│       ├── time_abuse_tab.py
│       ├── destructive_tab.py
│       ├── digital_violence_tab.py
│       ├── spatial_tab.py
│       ├── perception_tab.py
│       ├── hybrids_tab.py
│       ├── minimalism_tab.py
│       ├── performance_tab.py
│       └── gpu_tab.py
└── plan.md                 # Reorganization documentation

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

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

Acknowledgments

Built with OpenCV, PyQt6, and inspired by various video art and glitch art techniques.