apoorva/greenhouse
2
1
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

README

Browse Source
This commit is contained in:
Wang Yinghao 2018-03-02 14:48:06 -06:00
parent 852c63d04d
commit dda0295aac
1 changed files with 18 additions and 1 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

19
README.rst
View File

@ -135,7 +135,7 @@ You can pull the image which has all of the installed and required dependencies.
Usage Usage
----- -----
Steps Steps (PascalVOC)
~~~~~ ~~~~~
1. Build and launch using the instructions above. 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. 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 Create pre-defined classes
~~~~~~~~~~~~~~~~~~~~~~~~~~ ~~~~~~~~~~~~~~~~~~~~~~~~~~