YOLO2VoTTjson

YOLO2VoTTjson is a tool to improve efficiency of object tagging.

Prerequisite:

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 V2 Instruction

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"]}