Skip to content

Fix an error in calculating SIFID #158

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
DonghweeYoon wants to merge 1 commit into
base: master
Choose a base branch
from
Open

Fix an error in calculating SIFID #158

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
6 changes: 3 additions & 3 deletions SIFID/sifid_score.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -51,7 +51,7 @@ def tqdm(x): return x
parser.add_argument('--images_suffix', default='jpg', type=str, help='image file suffix')


def get_activations(files, model, batch_size=1, dims=64,
def get_activations(files, model, batch_size=1, dims=192,
cuda=False, verbose=False):
"""Calculates the activations of the pool_3 layer for all images.

Expand Down Expand Up @@ -183,7 +183,7 @@ def calculate_frechet_distance(mu1, sigma1, mu2, sigma2, eps=1e-6):


def calculate_activation_statistics(files, model, batch_size=1,
dims=64, cuda=False, verbose=False):
dims=192, cuda=False, verbose=False):
"""Calculation of the statistics used by the FID.
Params:
-- files : List of image files paths
Expand Down Expand Up @@ -255,7 +255,7 @@ def calculate_sifid_given_paths(path1, path2, batch_size, cuda, dims, suffix):
path2 = args.path2fake
suffix = args.images_suffix

sifid_values = calculate_sifid_given_paths(path1,path2,1,args.gpu!='',64,suffix)
sifid_values = calculate_sifid_given_paths(path1,path2,1,args.gpu!='',192,suffix)

sifid_values = np.asarray(sifid_values,dtype=np.float32)
numpy.save('SIFID', sifid_values)
Expand Down