(
backbone_names,
layers_to_extract_from,
pretrain_embed_dimension,
target_embed_dimension,
preprocessing,
aggregation,
patchsize,
patchscore,
patchoverlap,
anomaly_scorer_num_nn,
patchsize_aggregate,
faiss_on_gpu,
faiss_num_workers,
)
| 257 | @click.option("--faiss_on_gpu", is_flag=True) |
| 258 | @click.option("--faiss_num_workers", type=int, default=8) |
| 259 | def patch_core( |
| 260 | backbone_names, |
| 261 | layers_to_extract_from, |
| 262 | pretrain_embed_dimension, |
| 263 | target_embed_dimension, |
| 264 | preprocessing, |
| 265 | aggregation, |
| 266 | patchsize, |
| 267 | patchscore, |
| 268 | patchoverlap, |
| 269 | anomaly_scorer_num_nn, |
| 270 | patchsize_aggregate, |
| 271 | faiss_on_gpu, |
| 272 | faiss_num_workers, |
| 273 | ): |
| 274 | backbone_names = list(backbone_names) |
| 275 | if len(backbone_names) > 1: |
| 276 | layers_to_extract_from_coll = [[] for _ in range(len(backbone_names))] |
| 277 | for layer in layers_to_extract_from: |
| 278 | idx = int(layer.split(".")[0]) |
| 279 | layer = ".".join(layer.split(".")[1:]) |
| 280 | layers_to_extract_from_coll[idx].append(layer) |
| 281 | else: |
| 282 | layers_to_extract_from_coll = [layers_to_extract_from] |
| 283 | |
| 284 | def get_patchcore(input_shape, sampler, device): |
| 285 | loaded_patchcores = [] |
| 286 | for backbone_name, layers_to_extract_from in zip( |
| 287 | backbone_names, layers_to_extract_from_coll |
| 288 | ): |
| 289 | backbone_seed = None |
| 290 | if ".seed-" in backbone_name: |
| 291 | backbone_name, backbone_seed = backbone_name.split(".seed-")[0], int( |
| 292 | backbone_name.split("-")[-1] |
| 293 | ) |
| 294 | backbone = patchcore.backbones.load(backbone_name) |
| 295 | backbone.name, backbone.seed = backbone_name, backbone_seed |
| 296 | |
| 297 | nn_method = patchcore.common.FaissNN(faiss_on_gpu, faiss_num_workers) |
| 298 | |
| 299 | patchcore_instance = patchcore.patchcore.PatchCore(device) |
| 300 | patchcore_instance.load( |
| 301 | backbone=backbone, |
| 302 | layers_to_extract_from=layers_to_extract_from, |
| 303 | device=device, |
| 304 | input_shape=input_shape, |
| 305 | pretrain_embed_dimension=pretrain_embed_dimension, |
| 306 | target_embed_dimension=target_embed_dimension, |
| 307 | patchsize=patchsize, |
| 308 | featuresampler=sampler, |
| 309 | anomaly_scorer_num_nn=anomaly_scorer_num_nn, |
| 310 | nn_method=nn_method, |
| 311 | ) |
| 312 | loaded_patchcores.append(patchcore_instance) |
| 313 | return loaded_patchcores |
| 314 | |
| 315 | return ("get_patchcore", get_patchcore) |
| 316 |
nothing calls this directly
no outgoing calls
no test coverage detected