This commit is contained in:
yonghye 2018-10-29 17:37:39 +09:00
commit 13e012f2b8

View File

@ -1 +1,34 @@
# ImageLabelingTool-YOLO-Style # ImageLabelingTool-YOLO-Style
## WHAT IS THIS?!
Reinventing The Wheel!!!!
![1_hfyjxxcfingbcyzcgksaiq](https://user-images.githubusercontent.com/35001605/47629997-b47aa200-db81-11e8-8873-71ae653563e0.png)
In the world, there are many good image labeling tools for object detection. -e.g. , ([Yolo_mark](https://github.com/AlexeyAB/Yolo_mark), [BBox-Label-Tool](https://github.com/puzzledqs/BBox-Label-Tool), [labelImg](https://github.com/tzutalin/labelImg)).
But... I reinvented it...
## WHY DID YOU REINVENT THE WHEEL? ARE YOU STUPID?
When I use the pre-existing program to annotate a training set for YOLO V3, I am sooooooooooo bored...
So I thought about why it is so fxxking bored??
And I found that anwer.
The answer is that pre-existing programs are not **sensitive**.
So I decided to make a **sesnsitive** image labeling tool for object detection.
## SHOW ME YOUR SENSITIVE IMAGE LABELING TOOL!!
See the below picture! It's the **SENSITIVE** image labeling tool for object detection!
![uibaaaam](https://user-images.githubusercontent.com/35001605/47629477-a8d9ac00-db7e-11e8-90e4-be3b71e1a2ca.PNG)
## HMM... I SAW THIS DESIGN SOMEWHERE
I refered to https://pjreddie.com/darknet/, which is the website of Joseph Redmon who invented the [YOLO](https://www.youtube.com/watch?v=MPU2HistivI).
![redmon2](https://user-images.githubusercontent.com/35001605/47635529-a1270100-db98-11e8-8c03-1dcea7c77d1d.PNG)
# USAGE