/ILSVRC2Yolo

Convert ILSVRC2015_VID .xml format to Yolo Darknet format

Primary LanguagePython

ILSVRC2Yolo

A format translator used for object detection label translation, which could translate ILSVRC2015_VID file into Yolo Darknet file.

Installation and Utilization

Clone
$ git clone https://github.com/HaochenW/ILSVRC2Yolo
$ cd ILSVRC2Yolo/
Direct utilization
$ python transxml.py --dataset_path your_ILSVRC_dataset_path

Required Parameters

  1. --dataset_path

  • ILSVRC_VID dataset path, for example:

    --dataset_path ./ILSVRC2015
  1. --convert_output_path
  • The output path after the conversion, for example, you could use:
  • --convert_output_path ./ILSVRC2015/Annotation_yolo
  1. --abs_path
  • The output path of the image absolute path file, which is needed in training yolo model. 
    --abs_path ./ILSVRC2015/Annotation_yolo
  1. --cls_list_file
  • The file that gives the name and number of the classes, the file is given in the folder 
    --abs_path ./classes_ILSVRC.names
  1. --img_type
  • The type of the dataset image, in ILSVRC, it is .JPEG. 
    --image_type .JPEG

Results

  • The results will in the folder: "--convert_output_path"
  • The folder nesting format will be the same as the folder in "Annotation", but the ".xml" format will be translated into ".txt' format

000465.txt

 ```bash
  22 0.438 0.497 0.496 0.994
 ```

valid.txt

```bash
/home/users/../code/ILSVRC2015/Data/VID/val/ILSVRC2015_val_00138000/000247.JPEG
/home/users/../code/ILSVRC2015/Data/VID/val/ILSVRC2015_val_00138000/000078.JPEG
/home/users/../code/ILSVRC2015/Data/VID/val/ILSVRC2015_val_00138000/000075.JPEG
/home/users/../code/ILSVRC2015/Data/VID/val/ILSVRC2015_val_00138000/000043.JPEG
/home/users/../code/ILSVRC2015/Data/VID/val/ILSVRC2015_val_00138000/000013.JPEG
```