fid_value = fid_score.calculate_fid_given_paths([real_images_folder, generated_images_folder], inception_model, transform=transform, batch_size=50, dims=2048) print('FID value:', fid_value) 这段代码首先加载了预训练的Inception-v3模型,然后定义了一个图像变换,用于将图像转换为模型可以接受的格式。
behavior is retained to match the original FID score implementation. -- dims : Dimensionality of features returned by Inception -- cuda : If set to True, use GPU -- verbose : If set to True and parameter out_step is given, the number ...
dims, cuda) fid_value = calculate_frechet_distance(m1, s1, m2, s2)return fid_valueif __name__ == '__main__': args = parser.parse_args() os.environ['CUDA_VISIBLE_DEVICES'] = args.gpu print('args:', args) fid_value = calculate_fid_given_paths(args.path, ...
def calculate_fid_given_paths( paths, batch_size, device, dims, num_workers=1, subset_size=None, shuffle_seed=None ): """Calculates the FID of two paths""" for p in paths: if not os.path.exists(p): raise RuntimeError("Invalid path: %s" % p) block_idx = InceptionV3.BLOCK_INDE...
def calculate_fid_given_paths(paths, inception_path, low_profile=False): Remove unbatched version Aug 21, 2017 304 ''' Calculates the FID of two paths. ''' 305 inception_path = check_or_download_inception(inception_path) 306 307 for p in paths: 308 if not os.path.exists(p)...