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# 将标签信息写入xml
def save_anno_to_xml(filename, size, objs, save_path):
E = objectify.ElementMaker(annotate=False)
anno_tree = E.annotation(
E.folder("DATA"),
E.filename(filename),
E.source(
E.database("The VOC Database"),
E.annotation("PASCAL VOC"),
E.image("flickr")
E.size(
E.width(size['width']),
E.height(size['height']),
E.depth(size['depth'])
E.segmented(0)
for obj in objs:
E2 = objectify.ElementMaker(annotate=False)
anno_tree2 = E2.object(
E.name(obj[0]),
E.pose("Unspecified"),
E.truncated(0),
E.difficult(0),
E.bndbox(
E.xmin(obj[1]),
E.ymin(obj[2]),
E.xmax(obj[3]),
E.ymax(obj[4])
anno_tree.append(anno_tree2)
anno_path = os.path.join(save_path, filename[:-3] + "xml")
etree.ElementTree(anno_tree).write(anno_path, pretty_print=True)
# 利用cocoAPI从json中加载信息
def load_coco(anno_file, xml_save_path):
if os.path.exists(xml_save_path):
shutil.rmtree(xml_save_path)
os.makedirs(xml_save_path)
coco = COCO(anno_file)
classes = catid2name(coco)
imgIds = coco.getImgIds()
classesIds = coco.getCatIds()
for imgId in tqdm(imgIds):
size = {}
img = coco.loadImgs(imgId)[0]
filename = img['file_name']
width = img['width']
height = img['height']
size['width'] = width
size['height'] = height
size['depth'] = 3
annIds = coco.getAnnIds(imgIds=img['id'], iscrowd=None)
anns = coco.loadAnns(annIds)
objs = []
for ann in anns:
object_name = classes[ann['category_id']]
# bbox:[x,y,w,h]
bbox = list(map(int, ann['bbox']))
xmin = bbox[0]
ymin = bbox[1]
xmax = bbox[0] + bbox[2]
ymax = bbox[1] + bbox[3]
obj = [object_name, xmin, ymin, xmax, ymax]
objs.append(obj)
save_anno_to_xml(filename, size, objs, xml_save_path)
def parseJsonFile(data_dir, xmls_save_path):
assert os.path.exists(data_dir), "data dir:{} does not exits".format(data_dir)
if os.path.isdir(data_dir):
# 这里注意修改
data_types = ['train', 'val']
for data_type in data_types:
ann_file = 'instances_{}.json'.format(data_type)
xmls_save_path = os.path.join(xmls_save_path, data_type)
load_coco(ann_file, xmls_save_path)
elif os.path.isfile(data_dir):
anno_file = data_dir
load_coco(anno_file, xmls_save_path)
if __name__ == '__main__':
脚本说明：
该脚本用于将coco格式的json文件转换为voc格式的xml文件
参数说明：
data_dir:json文件的路径
xml_save_path:xml输出路径
parser = argparse.ArgumentParser()
parser.add_argument('-d', '--data-dir', type=str, default='./Task/cocome/annotations/instance_train.json', help='json path')
parser.add_argument('-s', '--save-path', type=str, default='./Task/voc', help='xml save path')
opt = parser.parse_args()
print(opt)
if len(sys.argv) > 1:
parseJsonFile(opt.data_dir, opt.save_path)
else:
# 这里修改 coco的训练集json地址
data_dir = './Task/cocome/annotations/instance_train.json'
# 这里改成VOC xml文件的保存路径
xml_save_path = './Task/voc'
parseJsonFile(data_dir=data_dir, xmls_save_path=xml_save_path)
