Yolo_label

WHAT IS THIS?!

Reinventing The Wheel!!!!

In the world, there are many good image labeling tools for object detection. -e.g. , (Yolo_mark, BBox-Label-Tool, labelImg).

But... I've 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 sensitive image labeling tool for object detection.

SHOW ME YOUR SENSITIVE IMAGE LABELING TOOL!!

It's the SENSITIVE image labeling tool for object detection!

HMM... I SAW THIS DESIGN SOMEWHERE

I refer the website of Joseph Redmon who invented the YOLO.

TUTORIAL / USAGE

1. Put your .jpg, .png -images into some directory (In this tutorial I will use the Kangarooo and the Raccoon Images. These images are in the 'Samples' folder.)

2. Put names of objects, one for each line in some file( .txt, .names) and save

3. Run Yolo label!

4. Click the button 'Open Files'and open the directory that you saved your custom images and object name lists file that you saved at step 2.

5. And... Drag and Drop... Welcome to Hell... I really hate this work in the world

6. End

SHORTCUTS

Key	Action
A	Save and Next Image
D, Space	Save and Prev Image
S	Next Label
W	Prev Label
Ctrl + S	Save
Ctrl + C	Delete all existing bounding boxes in the image

Mouse	Action
Right Click	Delete Focused Bounding Box in the image
Wheel Down	Save and Next Image
Wheel Up	Save and Prev Image

ETC

You can access all image by moving horizontal slider bar. But when you control horizontal slider bar, the last processed image will not be saved automatically. So you should save and move horizontal slider bar, if you want not to lose your work.

CONCLUSIONS

I've reinvented the wheel.