map_to_hear.py

import csv as csv_module
import json 
from pathlib import Path 
import tqdm 

ROOT = "./labels"
LABEL_MAPPING_INT= {
    '1': 0,
    '3': 1,
    '4': 2,
    '5': 3,
    '6': 4,
    '7': 5,
    '8': 6,
    '9': 7
}
LABEL_MAPPING = {
    0: "car_horn",
    1: "dog_bark",
    2: "drilling",
    3: "engine_idling",
    4: "gun_shot",
    5: "jack_hammer",
    6: "siren",
    7: "street_music"
}

def get_csvs(root):
    metadata_root = Path(root)
    assert metadata_root.exists(), "Metadata root does not exist"
    metadata_files = list(sorted(metadata_root.glob("*/*.csv")))
    splits = {}
    for file in metadata_files:
        file = str(file.absolute())
        file_name, folder = file.split("/")[-1].replace(".csv", ""), file.split("/")[-2]
        
        splits.setdefault(folder, []).append(file_name)
    assert len(metadata_files) > 0, "Folder does not contain any csv files"
    return metadata_files, splits

def process_csv(csv_path):
    path = Path(csv_path)
    assert path.exists(), f"CSV Path {csv_path} does not exist"
    # Load all rows from CSV and group by label (ignoring source)
    data = []
    with open(path, newline='') as csvfile:
        reader = csv_module.reader(csvfile, delimiter=',')
        next(reader, None)  # skip the headers
        for row in reader:
            class_idx = row[0].split("/")[-1].split("-")[1]
            start_time = float(row[1])
            end_time = float(row[2])
            label = LABEL_MAPPING[LABEL_MAPPING_INT[class_idx]]
            data.append({
                "label": label,
                "start": start_time * 1000,
                "end": end_time * 1000
            })
    return data
            
def map_to_splits(audios, fold_to_split):
    fold_data = {k : {} for k in fold_to_split}
    for k, file_names in fold_to_split.items():
        for file_name in file_names:
            fold_data[k][file_name + ".wav"] = audios[file_name]
    return fold_data    

if __name__ == "__main__":
    csvs, splits = get_csvs(ROOT)

    folds = {}
    for i in tqdm.tqdm(csvs):
        file_name = i.stem
        folds[file_name] = process_csv(i)
    
    json_files = map_to_splits(folds, splits)
    done = set()
    for data in splits.keys():
        if data in done:
            continue
        with open(data + ".json", "w") as js_file:
            json.dump(json_files[data], js_file, indent=4)
            done.add(data)