Little image extractor and tagger from selfie video as input. The resulting images are meant to be used by Kohya to create a LoRA for something like SDLX. The images reduced to 512x512.

Resizes images from a directory to an output directory. The images are reduced to 768x768.

This guide provides instructions on how to install the necessary dependencies and run the face feature extraction program.

• Python 3.7 or higher
• OpenCV
• Face Recognition
• NumPy

First, ensure that you have Python 3.7 or higher installed on your system. You can download Python from the official website at https://www.python.org/downloads/.

After installing Python, you can install the required Python packages using pip. Open a terminal or command prompt and run the following commands:

pip install opencv-python
pip install face_recognition
pip install numpy

The image or video file path should point to a valid .png, .jpg, .jpeg, or .mov file. The output directory should be a valid directory on your filesystem where the program has write access. If processing a video, the program will process each frame asynchronously and may take some time to complete, depending on the video length and resolution.

Make sure to copy the Python script into a file named create.py and follow the installation guide above to set up your environment. After installation, you'll be able to run the script as instructed.

Make this better if you can - cheers!