# install python 3.6, torch==1.8.1, torchvision==0.9.1 pip install -r requirements.txt python train.py --phase train or test --dataset_path .../mvtec_anomaly_detection --category carpet --project_root_path path/
parser.add_argument('--coreset_sampling_ratio', default=0.01) parser.add_argument('--output_path', default=r'./outputs') parser.add_argument('--save_anomaly_map', default=True) parser.add_argument('--n_neighbors', type=int, default=9) args = parser.parse_args() return args if __...
coreset_sampling_ratio)) self.embedding_coreset = total_embeddings[selected_idx] print('initial embedding size : ', total_embeddings.shape) print('final embedding size : ', self.embedding_coreset.shape) with open(os.path.join(self.embedding_dir_path, 'embedding.pickle'), 'wb') as f...
sample embeddings/carpet/embedding.pickle => coreset_sampling_ratio=0.001 updates(21/06/26) : A criticalissuerelated to "locally aware patch" raised and fixed. Score table is updated. Usage # install python 3.6, torch==1.8.1, torchvision==0.9.1 pip install -r requirements.txt python train....
# install python 3.6, torch==1.8.1, torchvision==0.9.1 pip install -r requirements.txt python train.py --phase train or test --dataset_path .../mvtec_anomaly_detection --category carpet --project_root_path path/to/save/results --coreset_sampling_ratio 0.01 --n_neighbors 9' # for fa...