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# GAN-image-detection
## Prerequisite
1. Create the conda environment
```bash
conda env create -f environment.yml
```
2. Download the model's weights from [here](https://www.dropbox.com/s/g1z2u8wl6srjh6v/weigths.zip?dl=0) and unzip it under the main folder
```bash
wget https://www.dropbox.com/s/g1z2u8wl6srjh6v/weigths.zip?dl=0
unzip weigths.zip
```
## Test the detector on a single image
We provide a simple script to obtain the model score for a single image.
```bash
python gan_vs_real_detector.py --img_path $PATH_TO_TEST_IMAGE
```
## Performances
We provide a [notebook](https://github.com/polimi-ispl/GAN-image-detection/blob/main/roc_curves.ipynb) with the script for computing the ROC curve for each dataset.
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