python script to help streamline the tagging process
process is you open a folder with images in them if there are txt files with the same name as the image in the same directory it will parse the tags from there. you press the buttons under current tags to toggle whether you want the tags to be saved in the final text file or not. you can also search for tags to add under tag search, type in a search term until you see the booru tag you want and click on it. when finished all the tags are saved simultanously. if there are txt files in the directory with the same name as the images they will be overwritten and neew text file with the information from the application will be saved in place. changes are only saved when save all is pressed the "a" and "d" keys are used to move through the pictures in the folder though you either need to select a button or press enter to remove focus from the text field if the tag search field was being used .
two files of concern: withdeepbooru.py uses the DeepBooru model https://github.com/KichangKim/DeepDanbooru download one of the pretrained releases at https://github.com/KichangKim/DeepDanbooru/releases/ and unzip in the models folder
configurations: in config you can entrer default_tags which are tags that will be automatically added to each images and quick acess tags which in withoutdeepbooru will create a quick acess penal with those tags
deep_booru_threshold controls how much confidence a tag has to have before being display