Visdrone转为YOLO格式

import os
from pathlib import Path

from ultralytics.utils.downloads import download

def visdrone2yolo(dir_path):
    dir = Path(dir_path)
    from PIL import Image
    from tqdm import tqdm

    def convert_box(size, box):
        # Convert VisDrone box to YOLO xywh box
        dw = 1. / size[0]
        dh = 1. / size[1]
        return (box[0] + box[2] / 2) * dw, (box[1] + box[3] / 2) * dh, box[2] * dw, box[3] * dh

    (dir / 'labels').mkdir(parents=True, exist_ok=True)  # make labels directory
    pbar = tqdm((dir / 'annotations').glob('*.txt'), desc=f'Converting {dir}')
    for f in pbar:
        img_size = Image.open((dir / 'images' / f.name).with_suffix('.jpg')).size
        lines = []
        with open(f, 'r') as file:  # read annotation.txt
            for row in [x.split(',') for x in file.read().strip().splitlines()]:
                if row[4] == '0':  # VisDrone 'ignored regions' class 0
                    continue
                cls = int(row[5]) - 1
                box = convert_box(img_size, tuple(map(int, row[:4])))
                lines.append(f"{cls} {' '.join(f'{x:.6f}' for x in box)}\n")
        with open(str(f).replace(f'{os.sep}annotations{os.sep}', f'{os.sep}labels{os.sep}'), 'w') as fl:
            fl.writelines(lines)  # write label.txt

visdrone2yolo('G:\YVisDrone\VisDrone\VisDrone2019-DET-test-dev')