generate_metadata.py

import os
import json
from pathlib import Path


def generate_metadata(base_dir, normal_dir="normal", anomaly_dir="anomaly"):
    """
    Generate metadata.json file for Hugging Face dataset from normal and anomaly images.

    Args:
        base_dir (str): Base directory containing normal and anomaly folders
        normal_dir (str): Name of the folder containing normal images (label 0)
        anomaly_dir (str): Name of the folder containing anomaly images (label 1)
    """
    metadata = []
    #{"file_name": "0001.png", "additional_feature": "This is a first value of a text feature you added to your images"}
    # Process normal images (label 0)
    normal_path = Path(base_dir) / normal_dir
    mask_base_dir = Path(base_dir) / 'masks'
    if normal_path.exists():
        for img_file in normal_path.glob("*"):
            if img_file.is_file() and img_file.suffix.lower() in ['.jpg', '.jpeg', '.png', '.bmp', '.tiff', '.gif']:
                metadata.append({
                    "file_name": str(img_file.relative_to(base_dir)),
                    "label": 0,
                    "mask": None 
                })

    # Process anomaly images (label 1)
    anomaly_path = Path(base_dir) / anomaly_dir
    if anomaly_path.exists():
        for img_file in anomaly_path.glob("*"):
            if img_file.is_file() and img_file.suffix.lower() in ['.jpg', '.jpeg', '.png', '.bmp', '.tiff', '.gif']:
                metadata.append({
                    "file_name": str(img_file.relative_to(base_dir)),
                    "label": 1,
                    "mask": os.path.join(base_dir,str(img_file.relative_to(base_dir)).replace('anomaly/', 'masks/').replace('.jpg','.png')),

                })

    # Save metadata to JSON file
    with open(Path(base_dir) / "metadata.jsonl", "w") as f:
        for metadata_l in metadata:
            print(json.dumps(metadata_l), file=f)

    print(f"Created metadata.json with {len(metadata)} images")
    print(f"Normal images (label 0): {sum(1 for img in metadata if img['label'] == 0)}")
    print(f"Anomaly images (label 1): {sum(1 for img in metadata if img['label'] == 1)}")


if __name__ == "__main__":
    '''
    # You can change this to your actual base directory
    #base_directory = "PiledBags/piled_bags_data_dir_train/"
    #base_directory = "MetalParts/metal_parts_data_dir_train/"
    base_directory = "PCB/pcb_data_dir_train/"
    generate_metadata(base_directory)
    #base_directory = "PiledBags/piled_bags_data_dir_test0/"
    #base_directory = "MetalParts/metal_parts_data_dir_test0/"
    base_directory = "PCB/pcb_data_dir_test0/"
    generate_metadata(base_directory)
    #base_directory = "PiledBags/piled_bags_data_dir_test1/"
    #base_directory = "MetalParts/metal_parts_data_dir_test1/"
    base_directory = "PCB/pcb_data_dir_test1/"
    generate_metadata(base_directory)
    #base_directory = "PiledBags/piled_bags_data_dir_test2/"
    #base_directory = "MetalParts/metal_parts_data_dir_test2/"
    base_directory = "PCB/pcb_data_dir_test2/"
    generate_metadata(base_directory)
    #base_directory = "PiledBags/piled_bags_data_dir_test3/"
    #base_directory = "MetalParts/metal_parts_data_dir_test3/"
    base_directory = "PCB/pcb_data_dir_test3/"
    generate_metadata(base_directory)
    #base_directory = "PiledBags/piled_bags_data_dir_test4/"
    #base_directory = "MetalParts/metal_parts_data_dir_test4/"
    base_directory = "PCB/pcb_data_dir_test4/"
    generate_metadata(base_directory)
    #base_directory = "PiledBags/piled_bags_data_dir_test5/"
    #base_directory = "MetalParts/metal_parts_data_dir_test5/"
    base_directory = "PCB/pcb_data_dir_test5/"
    generate_metadata(base_directory)
    '''
    base_directory = "MetalParts/metal_parts_data_dir_test6/"
    generate_metadata(base_directory)