| Samples | ||
| label_img.cpp | ||
| label_img.h | ||
| main.cpp | ||
| mainwindow.cpp | ||
| mainwindow.h | ||
| mainwindow.ui | ||
| README.md | ||
| YoloLabel.pro | ||
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
- Download this project
For Windows
0.1 Download this
0.2 Unzip
0.3 Run YoloLabel.exe
- 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.)
- Put names of objects, one for each line in some file( .txt, .names) and save
- Run Yolo label!
- 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.
- And... Label!... Welcome to Hell... I really hate this work in the world.
This program has adopted a different labeling method from other programs that adopt "drag and drop" method.
To minimize wrist strain when labeling, I adopted the method "twice left button click" method more convenient than
"drag and drop" method.
drag and drop
twice left button click
- 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.
TO DO LISTS
Upload binary file for easy usage Ui event optimzation for ubuntu