YOLO2VoTTjson is a tool to improve efficiency of object tagging.

Please use VoTT v1.7.2.

VoTT v2.0.0 and above use different JSON file. This script is not designed for that.

YOLO2VoTTjson.py is dependent on opencv-python.

pip install opencv-python

YOLO2VoTTjson.py needs Raw YOLO txt.

Run:

Save pictures and txt in two separated folders. Then run the script with command like this：

picture folder, yolo txt folder, json file destination (optional)

python YOLO2VoTTjson.v2.py ./pic ./txt ./pic.json

The last parameter is optional. If ignored json file will be saved along with YOLO2VoTTjson.py.

For VoTT to read json:

You should put json file, which has same filename as the picture folder, in the same level directory with the picture folder.

To change default object type:

Please edit line 32

# 8 object types
index = {0:"CarType0",1:"CarType1",2:"CarType2",3:"CarType3",4:"CarType4",5:"CarType5",6:"CarType6",7:"CarType7"}
raw_dict = {"frames": {}, "framerate": "1", "inputTags": "CarType0,CarType1,CarType2,CarType3,CarType4,CarType5,CarType6,CarType7",
          "tag_colors": ["#0ce28f","#950bb1","#0017ff","#39a400","#c53f00","#c2f20c","#2c009b","#008acb"]}