Generate synthetic image datasets from background and foreground images and export them in common Deep Learning formats.
Run the command pip install -r requirements.txt to install the required Python packages with a Python version > 3.6. Additionally, install Node v.18.xx.
Run the backend with python manage.py runserver
Run the frontend with npm start then you can access the server via http://localhost:3000/
Images can also directly be enerated from the python file project.py. The following settings can be given to the functions:
- ImageGenerator((str)dataset format yolo/coco/pascal_voc)
- generate_images_cutout_obj((int)number of images to generate, (int)blending setting 0-4, (int)how many augmented images should be created from one generated image, (str)path to objects)
- split_data_yolo((float)split train, (float)split validate, (float)split test, (str[])class names, (str)path where images are stored that should be split)