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labelme2yolo
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Update labelme2yolo.py

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rooneysh 2021-08-18 16:34:19 +08:00 committed by GitHub
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1 changed files with 23 additions and 13 deletions
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labelme2yolo.py
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@ -1,11 +1,12 @@
'''
Created on Aug 18, 2021
@author: rooneysh
@author: xiaosonh
'''
import os
import sys
import argparse
import shutil
import json
import cv2
@ -24,15 +25,17 @@ class Labelme2YOLO(object):
self._label_dir_path = os.path.join(json_dir, 'YOLODataset/labels/')
self._image_dir_path = os.path.join(json_dir, 'YOLODataset/images/')
self._make_train_val_dir(self._json_dir)
self._make_train_val_dir()
def _make_train_val_dir(self):
for yolo_path in (os.path.join(self._label_dir_path + 'train/'),
os.path.join(self._label_dir_path + 'val/'),
os.path.join(self._image_dir_path + 'train/'),
os.path.join(self._image_dir_path + 'val/')):
if not os.path.exists(yolo_path):
os.makedirs(yolo_path)
if os.path.exists(yolo_path):
shutil.rmtree(yolo_path)
os.makedirs(yolo_path)
def _get_label_id_map(self, json_dir):
label_set = set()
@ -78,14 +81,18 @@ class Labelme2YOLO(object):
# convert labelme object to yolo format object, and save them to files
# also get image from labelme json file and save them under images folder
for target_dir, json_name in zip(('train/', 'val/'), (train_json_names, val_json_names)):
json_path = os.path.join(self._json_dir, json_name)
json_data = json.load(open(json_path))
for target_dir, json_names in zip(('train/', 'val/'),
(train_json_names, val_json_names)):
for json_name in json_names:
json_path = os.path.join(self._json_dir, json_name)
json_data = json.load(open(json_path))
img_path = self._save_yolo_image(json_data, json_name, target_dir)
print('Converting %s for %s ...' % (json_name, target_dir.replace('/', '')))
yolo_obj_list = self._get_yolo_object_list(json_data, img_path)
self._save_yolo_label(json_path, target_dir, yolo_obj_list)
img_path = self._save_yolo_image(json_data, json_name, target_dir)
yolo_obj_list = self._get_yolo_object_list(json_data, img_path)
self._save_yolo_label(json_name, target_dir, yolo_obj_list)
def _get_yolo_object_list(self, json_data, img_path):
def __get_object_desc(obj_port_list):
@ -114,8 +121,10 @@ class Labelme2YOLO(object):
return yolo_obj_list
def _save_yolo_label(self, json_path, yolo_obj_list):
txt_path = json_path.replace('.json', '.text')
def _save_yolo_label(self, json_name, target_dir, yolo_obj_list):
txt_path = os.path.join(self._label_dir_path,
target_dir,
json_name.replace('.json', '.text'))
with open(txt_path, 'w+') as f:
for yolo_obj in yolo_obj_list:
@ -138,6 +147,7 @@ if __name__ == '__main__':
parser.add_argument('--val_size',type=float,
help='Please input the validation dataset size, for example 0.1 ')
args = parser.parse_args(sys.argv[1:])
convertor = Labelme2YOLO(args.json_dir)
convertor.convert(val_size=args.val_size)