77 lines
3.2 KiB
Markdown
77 lines
3.2 KiB
Markdown
# Yolo_label
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## WHAT IS THIS?!
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Reinventing The Wheel!!!!
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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)).
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But... I reinvented it...
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## WHY DID YOU REINVENT THE WHEEL? ARE YOU STUPID?
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When I use the pre-existing program to annotate a training set for YOLO V3, I am sooooooooooo bored...
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So I thought about why it is so fxxking bored??
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And I found that anwer.
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The answer is that pre-existing programs are not **sensitive**.
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So I decided to make a **sensitive** image labeling tool for object detection.
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## SHOW ME YOUR SENSITIVE IMAGE LABELING TOOL!!
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It's the **SENSITIVE** image labeling tool for object detection!
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## HMM... I SAW THIS DESIGN SOMEWHERE
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I referred to [the website of Joseph Redmon](https://pjreddie.com/darknet/
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) who invented the [YOLO](https://www.youtube.com/watch?v=MPU2HistivI).
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# TUTORIAL / USAGE
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1. Put your .jpg, .png -images into some directory
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(In this tutorial I will use the Kangarooo and the Raccoon Images. These images are in the 'Samples' folder.)
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2. Put names of objects, one for each line in some file( .txt, .names) and save
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3. Run Yolo label!
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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.
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5. And... Drag and Drop... Welcome to Hell... I really hate this work in the world
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6. End
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## Shorcuts
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| Key | Action |
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|---|:---:|
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| `A` | Save and Next Image |
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| `D, Space` | Save and Prev Image |
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| `S` | Next Label <br>  |
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| `W` | Prev Label <br>  |
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| `Ctrl + S` | Save |
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| `Ctrl + C` | Delete All Rect Box |
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| Mouse | Action |
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|---|:---:|
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| `Right Click` | Delete Focused Rect Box |
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