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Tool Search

Tool Search is a graphical tool that allows users to mark and search for locations on images. It provides a simple interface to load images, mark coordinates on the images, and search for previously marked locations.


Please Note that this Program is 90% done with ChatGPT! I'm NOT a Programmer, thats just something i had in my Head and wanted to try out! Even the Readme is Generated with ChatGPT.

  • I will try to Update this as often as Possible.
  • Everything that is Generated as Text for explaining Stuff in here, i will do Adjust it and remove any Error that ChatGPT may have made.

Features

  • Load images: The tool allows you to load images from a specified folder. It automatically resizes the image to fit the application window.
  • Mark coordinates: In edit mode, you can click on the loaded image to mark a specific location with a marker. You can assign a part number to the marked location.
  • Search for locations: In search mode, you can enter a part number and search for the corresponding location on the loaded image.
  • Switch images: The tool supports switching between multiple images in the loaded folder.
  • Manage images: You can add new images to the tool's image folder or delete existing images.

Installation

  1. Clone the repository or download the source code.
  2. Install the required dependencies by running the following command: pip install pillow.
  3. Run the main.py script to launch the tool.

Usage

  1. Launch the tool by running the main.py script.
  2. Use the Settings menu to load images from a folder or switch between images.
  3. Switch to Edit Location mode to mark coordinates on the loaded image. Click on the image to mark a location and assign it a part number.
  4. Switch to Search Location mode to search for coordinates based on a part number.
  5. Use the Settings menu to manage images (add or delete) and access additional settings.
  6. Use the Help menu to access instructions on how to use the tool and information about the tool.

Contributing

Contributions are welcome! If you encounter any issues or have suggestions for improvements, please feel free to submit an issue or create a pull request.

License

This project is licensed under the MIT License.

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