Create your own celeb model

• Create a dataset of celebs in the following directory structure: A root folder (say celeb_images), inside this should be the folders corresponding to each of the celebs inside which would be the individual pics of the celebs.
• Each folder name will be considered as the corresponding celeb name for the model (WARNING: Do not provide any special characters or spaces in the names).
• Make sure each image has only 1 face (of the desired celebrity), if there are multiple faces, only the first detected face will be considered.
• Provide path to the dataset folder (for example, celeb_images folder) in the create_celeb_model.py file.
• Run create_celeb_model.py file.
• Upon successful completion of the code, we get celeb_mapping.json (for storing indexes vs celeb names), celeb_index.ann (ann file for searching encodings) and celeb_name_encoding.pkl files (for storing encodings vs indexes for each celeb). (WARNING: You need to provide paths for storing each of these files, default is to store in the current directory)