In order to run our code, you will need to cd into this directory and create a conda environment, then run pip install -r requirements.txt. Then, you will need to download the weights for the Microsoft cvt13 model from this google drive: https://drive.google.com/file/d/1Wb1z9d_Nr4nKKYaevBym684xYGpvJRhY/view, and the weights for the keras model from this repo: https://huggingface.co/Emmawang/mobilenet_v2_fake_image_detection/tree/main.
Then, you should be ready to run our code! Each person worked on one model, and their code for running and evaluating that model is in the folder named after them.
In order to run our code, you will need to cd into this directory and create a conda environment, then run pip install -r requirements.txt. Then, you will need to download the weights for the Microsoft cvt13 model from this google drive: https://drive.google.com/file/d/1Wb1z9d_Nr4nKKYaevBym684xYGpvJRhY/view, and the weights for the keras model from this repo: https://huggingface.co/Emmawang/mobilenet_v2_fake_image_detection/tree/main.
Then, you should be ready to run our code! Each person worked on one model, and their code for running and evaluating that model is in the folder named after them.
