This is new yolo annotation tool which is added new features. I have posted three blogs for how to train yolov2 and v3 using our custom images.
You can follow three steps for annotate the image to yolo.
Steps:
run main.py
run convert.py
run process.py
Now i have implemented the convert.py process in main.py. So you don't run the convert.py for yolo annotating.
Do steps:
run main.py
run process.py
PS: create the class name exactly the same as the folders, so that the .txt files are also created in the Labels directory. PS2: REFACTOR: when saving the .txt file put it to save in the Labels folder.
NOTE: If you use new annotation tool, please create classes.txt file and write all classes what you train the objects. Because i read the all classes from classes.txt.
The dataset is ready for yolo training.