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find image files recursively #91

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find image files recursively #91

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18 changes: 15 additions & 3 deletions src/pytorch_fid/fid_score.py
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Original file line number Diff line number Diff line change
Expand Up @@ -230,16 +230,28 @@ def calculate_activation_statistics(files, model, batch_size=50, dims=2048,
sigma = np.cov(act, rowvar=False)
return mu, sigma

def _list_image_files_recursively(data_dir):
results = []
for entry in sorted(os.listdir(data_dir)):
full_path = os.path.join(data_dir, entry)
ext = entry.split(".")[-1]
if "." in entry and ext.lower() in IMAGE_EXTENSIONS:
results.append(full_path)
elif os.path.isdir(full_path):
results.extend(_list_image_files_recursively(full_path))
return results


def compute_statistics_of_path(path, model, batch_size, dims, device,
num_workers=1):
if path.endswith('.npz'):
with np.load(path) as f:
m, s = f['mu'][:], f['sigma'][:]
else:
path = pathlib.Path(path)
files = sorted([file for ext in IMAGE_EXTENSIONS
for file in path.glob('*.{}'.format(ext))])
#path = pathlib.Path(path)
files = _list_image_files_recursively(path)
#files = sorted([file for ext in IMAGE_EXTENSIONS
# for file in path.glob('*.{}'.format(ext))])
m, s = calculate_activation_statistics(files, model, batch_size,
dims, device, num_workers)

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