This Python script is designed to process images, detect faces, and crop them for use with DreamBooth.

1. Place the images you want to process in the input folder.
2. Run the script main.py.
3. Processed images with detected faces will be saved in the output folder.

The script supports the following file types for image processing:

• .jpg
• .jpeg
• .png
• .bmp
• .heic

• Python 3.x
• OpenCV (cv2)
• Pillow
• pyheif

1. Clone git repo.

git clone https://github.com/brndnsmth/face-detect-processor.git
cd face-detect-processor

2. Create a Virtual Environment: Utilize Python 3 to create a virtual environment for this project. This step ensures a clean and isolated environment for installing dependencies.

python3 -m venv .venv

3. Activate the Virtual Environment: Activate the virtual environment to isolate the project dependencies from other Python installations on your system.

source .venv/bin/activate

4. Install Dependencies: While inside the virtual environment, install the required dependencies specified in the requirements.txt file using pip.

pip install -r requirements.txt

5. Add Images: Create input folder and add images to directory.

mkdir input

6. Run the Script: Execute the following command to run the script:

python main.py

7. Check Output: Check processed images. Adjust the following in main.py, as needed:

scaleFactor=1.05, minNeighbors=6, minSize=(100, 100)