# Ultra-light PatchCore CPU example.
# The dataset root must contain bottle/train/good and bottle/test.
dataset_path: "./dataset"
class_name: "bottle"
algorithm: "patchcore"
backbone: "resnet18"
layer_indices: [0]
coreset_ratio: 0.02
max_memory_patches: 2048
patch_grid: 14
search_chunk_size: 1024
coreset_method: "kcenter"
coreset_seed: 42
resize: [224, 224]
crop_size: null
normalize: true
norm_mean: [0.485, 0.456, 0.406]
norm_std: [0.229, 0.224, 0.225]
batch_size: 1
device: "cpu"
model_data_path: "./distributions"
output_model: "model.pt"
model: "model.pt"
run_name: "patchcore_cpu"
log_level: "INFO"
num_workers: 0
pin_memory: false
enable_visualization: true
save_visualizations: true
viz_output_dir: "./patchcore_results"
viz_alpha: 0.5
viz_padding: 40
viz_color: "128,0,128"
stream_mode: false
memory_efficient: true
thresh: null
thresh_padim: null
thresh_patchcore: null