Folders will be created automatically:

• input/ # Folder for input images
• output/ # Folder for cropped images
• processed/ # Folder for already processed images
• errors/ # Folder for images with or without faces

====How to use====

• Place the input images in the input folder.
• Open folder with .py file with terminal.
• Run the facehugger.py by type "facehugger.py" or "python facehugger.py" and press Enter.
• The processed images will appear in the output folder, the original processed files will be moved to processed, and the images with errors will be moved to errors.
• To stop processing press Ctrl+C in terminal.

====Requirements====

-Python 3.6+ -Libraries: face_recognition, Pillow

Installing dependencies:

• CMake
• dlib (for your version of python, if you observes an errors, find correct whl dlib file)
• pip install face_recognition Pillow

This code is a Python script for processing HTML files and converting them into PNG images using the Selenium, PyMuPDF, and Chrome WebDriver libraries.

The script performs the following steps:

1. Specify the necessary directories:

• input_directory for input HTML files.
• output_directory for saving PNG images.
• and processed_directory for moving processed files.

2. Check if the specified directories exist, and create them if needed.

3. Define the path to the Chrome WebDriver (driver_path). If not specified, the script uses the WebDriver available in the system.

4. Create the process_html_to_png function, which processes HTML files in the specified directory.

5. For each file:

• Create an instance of the Chrome WebDriver with the specified options, including the "headless" mode.
• Open the HTML file in the browser.
• Set parameters for saving the page as a PDF.
• Execute the Page.printToPDF command to save the page as a PDF.
• Decode the PDF content from base64 and save it to a temporary PDF file.
• Open the temporary PDF file using PyMuPDF, extract the first page, and convert it to a PNG image.
• Delete the temporary PDF file.
• Move all files from the input_directory to a subdirectory with the current date and time in the processed_directory.
• Print the path of the saved PNG image.

6. Wait for 1 minute before the next check.

7. If the user interrupts the script (by pressing Ctrl+C), print a message indicating that the image processing has been stopped.