|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
path: ../datasets/VOC |
|
train: |
|
- images/train2012 |
|
- images/train2007 |
|
- images/val2012 |
|
- images/val2007 |
|
val: |
|
- images/test2007 |
|
test: |
|
- images/test2007 |
|
|
|
|
|
names: |
|
0: aeroplane |
|
1: bicycle |
|
2: bird |
|
3: boat |
|
4: bottle |
|
5: bus |
|
6: car |
|
7: cat |
|
8: chair |
|
9: cow |
|
10: diningtable |
|
11: dog |
|
12: horse |
|
13: motorbike |
|
14: person |
|
15: pottedplant |
|
16: sheep |
|
17: sofa |
|
18: train |
|
19: tvmonitor |
|
|
|
|
|
|
|
download: | |
|
import xml.etree.ElementTree as ET |
|
|
|
from tqdm import tqdm |
|
from ultralytics.yolo.utils.downloads import download |
|
from pathlib import Path |
|
|
|
def convert_label(path, lb_path, year, image_id): |
|
def convert_box(size, box): |
|
dw, dh = 1. / size[0], 1. / size[1] |
|
x, y, w, h = (box[0] + box[1]) / 2.0 - 1, (box[2] + box[3]) / 2.0 - 1, box[1] - box[0], box[3] - box[2] |
|
return x * dw, y * dh, w * dw, h * dh |
|
|
|
in_file = open(path / f'VOC{year}/Annotations/{image_id}.xml') |
|
out_file = open(lb_path, 'w') |
|
tree = ET.parse(in_file) |
|
root = tree.getroot() |
|
size = root.find('size') |
|
w = int(size.find('width').text) |
|
h = int(size.find('height').text) |
|
|
|
names = list(yaml['names'].values()) |
|
for obj in root.iter('object'): |
|
cls = obj.find('name').text |
|
if cls in names and int(obj.find('difficult').text) != 1: |
|
xmlbox = obj.find('bndbox') |
|
bb = convert_box((w, h), [float(xmlbox.find(x).text) for x in ('xmin', 'xmax', 'ymin', 'ymax')]) |
|
cls_id = names.index(cls) |
|
out_file.write(" ".join([str(a) for a in (cls_id, *bb)]) + '\n') |
|
|
|
|
|
# Download |
|
dir = Path(yaml['path']) # dataset root dir |
|
url = 'https://github.com/ultralytics/yolov5/releases/download/v1.0/' |
|
urls = [f'{url}VOCtrainval_06-Nov-2007.zip', # 446MB, 5012 images |
|
f'{url}VOCtest_06-Nov-2007.zip', # 438MB, 4953 images |
|
f'{url}VOCtrainval_11-May-2012.zip'] # 1.95GB, 17126 images |
|
download(urls, dir=dir / 'images', curl=True, threads=3) |
|
|
|
# Convert |
|
path = dir / 'images/VOCdevkit' |
|
for year, image_set in ('2012', 'train'), ('2012', 'val'), ('2007', 'train'), ('2007', 'val'), ('2007', 'test'): |
|
imgs_path = dir / 'images' / f'{image_set}{year}' |
|
lbs_path = dir / 'labels' / f'{image_set}{year}' |
|
imgs_path.mkdir(exist_ok=True, parents=True) |
|
lbs_path.mkdir(exist_ok=True, parents=True) |
|
|
|
with open(path / f'VOC{year}/ImageSets/Main/{image_set}.txt') as f: |
|
image_ids = f.read().strip().split() |
|
for id in tqdm(image_ids, desc=f'{image_set}{year}'): |
|
f = path / f'VOC{year}/JPEGImages/{id}.jpg' # old img path |
|
lb_path = (lbs_path / f.name).with_suffix('.txt') # new label path |
|
f.rename(imgs_path / f.name) # move image |
|
convert_label(path, lb_path, year, id) # convert labels to YOLO format |
|
|