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Dead cross-platform companion: tracks data, has config profiles

1. Download the latest release from the link above
2. Extract the archive (WinRAR / 7-Zip)
3. Run python main.py (or see Usage below)
4. Configure settings in config.yaml

Basic usage is pretty simple:

python main.py

You can also specify a config file:

python main.py --config my_config.yaml

This is useful if you have multiple profiles.

This tool includes:

• Screen analysis: Analyzes screen regions to detect pixel changes.
• Overlay: Displays a customizable overlay.
• Crosshair: Draws a custom crosshair on the screen.
• Pixel detection: Detects specific pixel colors within regions.
• Hotkey automation: Automates actions based on hotkey presses.
• Configuion: Loads settings from a YAML file.

The config.yaml file lets you customize settings. Here's an example:

overlay:
 enabled: true
 color: "red"
 thickness: 2
 crosshair: true

monitor:
 region: [0, 0, 1920, 1080]
 pixel_threshold: 200

input_handler:
 hotkey_toggle_overlay: "ctrl+shift+o"
 hotkey_exit: "ctrl+shift+q"

paths:
 log_file: "logs/application.log"
 data_output: "data/output.csv"

ports:
 web_server: 8080
 data_stream: 5000

Feel free to tweak these values to fit your needs.

If you're having issues, here are a few things to try:

• Check the logs/application.log file for errors.
• Make sure all requirements are installed (pip install -r requirements.txt).
• Verify your config.yaml file is valid YAML (use a YAML validator).
• Ensure you have the necessary permissions to access the screen.
• Restart the application.

WIP: Adding more detailed troubleshooting steps later.## FAQ

Before running, make sure you have the following packages installed. You can install them using pip:

pip install -r requirements.txt

Here's a breakdown:

• pyyaml: For reading config files.
• Pillow: Used for image processing and screen analysis.
• pynput: Handles global hotkey input.
• numpy: For numerical opeions, good for pixel detection.

This project is licensed under the MIT License