This commit is contained in:
Wang Yinghao 2018-03-02 14:48:06 -06:00
parent 852c63d04d
commit dda0295aac

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@ -135,7 +135,7 @@ You can pull the image which has all of the installed and required dependencies.
Usage
-----
Steps
Steps (PascalVOC)
~~~~~
1. Build and launch using the instructions above.
@ -150,6 +150,23 @@ The annotation will be saved to the folder you specify.
You can refer to the below hotkeys to speed up your workflow.
Steps (YOLO)
~~~~~
1. In ``data/predefined_classes.txt`` define the list of classes that will be used for your training.
2. Build and launch using the instructions above.
3. Right below "Save" button in toolbar, click "PascalVOC" button to switch to YOLO format.
4. You may use Open/OpenDIR to process single or multiple images. When finished with single image, click save.
A txt file of yolo format will be saved in the same folder as your image with same name. A file
named "classes.txt" is saved to that folder too. "classes.txt" defines the list of class names that your yolo label
refers to.
Note: Your label list shall not change in the middle of processing a list of images. When you save a image, classes.txt
will also get updated, while previous annotations will not be updated.
Create pre-defined classes
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