change default SIFID format to jpg

README.md

@@ -123,21 +123,21 @@ SinGAN's results on BSD100 dataset can be download from the 'Downloads' folder.
 ### Single Image Fréchet Inception Distance (SIFID score)
 To calculate the SIFID between real images and their corresponding fake samples, please run:
 ```
-python SIFID/sifid_score.py --path2real <real images path> --path2fake <fake images path> --images_suffix <e.g. jpg, png>
+python SIFID/sifid_score.py --path2real <real images path> --path2fake <fake images path> 
 ```  
 Make sure that each of the fake images file name is identical to its cooresponding real image file name. 
-
+Images should be save in `.jpg` format
 ### Super Resolution Results
 SinGAN's SR results on BSD100 dataset can be download from the 'Downloads' folder.
 
 ### User Study
-The data used for the user study can be found in the 'Downloads' folder. 
+The data used for the user study can be found in the Downloads folder. 
 
-'real' folder: 50 real images, randomly picked from the [places databas](http://places.csail.mit.edu/)
+real folder: 50 real images, randomly picked from the [places databas](http://places.csail.mit.edu/)
 
-'fake_high_variance' folder: random samples starting from n=N for each of the real images 
+fake_high_variance folder: random samples starting from n=N for each of the real images 
 
-'fake_mid_variance' folder: random samples starting from n=N-1 for each of the real images 
+fake_mid_variance folder: random samples starting from n=N-1 for each of the real images 
 
 For additional details please see section 3.1 in our [paper](https://arxiv.org/pdf/1905.01164.pdf)
 

SIFID/sifid_score.py

@@ -48,7 +48,7 @@ def tqdm(x): return x
 parser.add_argument('--path2real', type=str, help=('Path to the real images'))
 parser.add_argument('--path2fake', type=str, help=('Path to generated images'))
 parser.add_argument('-c', '--gpu', default='', type=str, help='GPU to use (leave blank for CPU only)')
-parser.add_argument('--images_suffix', default='png', type=str, help='image file suffix')
+parser.add_argument('--images_suffix', default='jpg', type=str, help='image file suffix')
 
 
 def get_activations(files, model, batch_size=1, dims=64,