This project demonstrates how to automate image processing tasks using a combination of a batch script and a Python script. The batch script handles the environment setup and user interaction, while the Python script performs the actual image processing.
- Environment Setup: The batch script checks for the presence of Python and installs it if necessary. It also ensures that the required Python package (Pillow) is installed.
- User Interaction: The script provides a simple menu for the user to interact with, allowing them to choose between processing images, viewing information about the tool, or exiting the program.
- Image Processing: The Python script uses the Pillow library to open images, apply a watermark, and save the processed images in the appropriate format.
- Error Handling: The script includes error handling to manage issues such as missing files or unsupported image formats.
- Dynamic Watermark Resizing: The script dynamically resizes the watermark to 10% of the image width, ensuring that the watermark is appropriately scaled for images of different sizes.
- Image Format Handling: The script supports multiple image formats and saves the processed images in the correct format based on the input image.
This project provides a practical example of how to combine batch scripting and Python scripting to automate a common task. By studying the provided scripts and resources, you can learn how to create similar automation tools for other tasks.
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