AI数据集格式转换Python源码

1、csv_to_coco.py 更改配置文件： classname_to_id = {"person": 1} # for your dataset classes csv_file = "labels.csv" # annatations file path image_dir = "images/" # original image path saved_coco_path = "./" # path to save converted coco dataset 2、csv_to_xml.py 更改配置文件： csv_file = "labels.csv" saved_path = ".VOC2007/" # path to save converted voc dataset image_save_path = "./JPEGImages/" # converted voc images path image_raw_parh = "images/" # original image path 3、json_to_coco.py 更改配置文件： classname_to_id = {"person": 1} # for your dataset classes labelme_path = "labelme/" # path for labelme dataset saved_coco_path = "./" # path for saved coco dataset 4、json_to_xml.py 更改配置文件： labelme_path = "labelme/" # path for labelme dataset saved_coco_path = "./" # path for saved coco dataset 5、csv_to_json.py 更改配置文件： image_path = "./images/" # path for images csv_file = "./" # path for csv annotations 6、xml_to_csv.py 更改配置文件： os.chdir('path/to/annotations/') # path for xml annotations path = 'path/to/annotations/' # 绝对路径 img_path = 'path/to/images/' # path for images xml_df.to_csv('labels.csv', index=None) # name for labels