# AutoLabelImg：MultiFunction AutoAnnotate Tools
### [<u>English</u>](./readme.md) | [<u>中文</u>](./readme_CN.md)
### Introduction：
Based on [labelImg](https://github.com/tzutalin/labelImg), we add many useful annotate tools, in **Annoatate-tools** and **Video-tools** menu, including：
- **`TOOL LIST`**：
- [x] **Auto Annotate**：anto annotate images using yolov5 detector
- [x] **Tracking Annotate**：using tracking method in opencv, annotate video data
- [x] **Magnifing Lens**：helpful when annotating small objects, optional function
- [x] **Data Agument**：data agument
- [x] **Search System**：search details info based on your input
- [x] other tools：label selecting/rename/counting, fix annotation, video merge/extract, welcome to try
### Demo:
seen in Vtuber:
[Auto Annotate](https://www.bilibili.com/video/BV1Uu411Q7WW/)
[Tracking Annotate](https://www.bilibili.com/video/BV1XT4y1X7At/)
[Magnifing Lens](https://www.bilibili.com/video/BV1nL4y1G7qm/)
[Data Augment](https://www.bilibili.com/video/BV1Vu411R7Km/)
[Search System](https://www.bilibili.com/video/BV1ZL4y137ar/)
### Update log：
2022.01.14：remove Retinanet( matain yolov5 only), and add label selecting when autolabeling
2022.01.11：imporve magnifing lens, more fluent and can be shut
2020.12.28：add video tracking annotate
2020.12.10：autolabelimg，version 1.0
## Installation：
1. clone this repo：
```bash
git clone https://github.com/wufan-tb/AutoLabelImg
cd AutoLabelImg
```
2. install requirments：
```bash
conda create -n {your_env_name} python=3.7.6
conda activate {your_env_name}
pip install -r requirements.txt
```
3. compile source code：
**Ubuntu User:**
```
sudo apt-get install pyqt5-dev-tools
make qt5py3
```
**Windows User:**
```
pyrcc5 -o libs/resources.py resources.qrc
```
4. prepare yolov5 weights file and move them to here: [official model zoo:[Yolov5](https://github.com/ultralytics/yolov5)]
```bash
mv {your_model_weight.pt} pytorch_yolov5/weights/
```
5. open labelimg software
```
python labelImg.py
```
## Set shortcut to open software[optional]
**Windows User:**
create a file:labelImg.bat, open it and type these text(D disk as an example)：
```bash
D:
cd D:{path to your labelImg folder}
start python labelImg.py
exit
```
double click labelImg.bat to open the software.
**Ubuntu User:**
open environment setting file:
```bash
vim ~/.bashrc
```
add this command：
```bash
alias labelimg='cd {path to your labelImg folder} && python labelImg.py
```
source it：
```bash
source ~/.bashrc
```
typing 'labeling' in terminal to open the software.
## Citation
```
{ AutoLabelImg,
author = {Wu Fan},
year = {2020},
url = {\url{https://https://github.com/wufan-tb/AutoLabelImg}}
}
```
基于 Yolov5 的自动贴标IMG，以及许多其他有用的工具
版权申诉
101 浏览量
2024-05-22
20:48:33
上传
评论
收藏 1.01MB ZIP 举报
基于 Yolov5 的自动贴标IMG，以及许多其他有用的工具 （117个子文件） 
test.512.512.bmp 257KB
setup.cfg 97B .gitignore 184B .gitignore 108B .gitignore 9B app.icns 8B MANIFEST.in 300B
臉書.jpg 747B LICENSE 1KB Makefile 520B readme_CN.md 3KB readme.md 3KB README.md 454B
demo.png 424KB app.png 31KB prev.png 30KB next.png 30KB feBlend-icon.png 8KB resetall.png 4KB close.png 3KB verify.png 3KB save-as.png 3KB labels.png 2KB color_line.png 2KB fit.png 2KB done.png 2KB cancel.png 2KB open.png 2KB undo.png 2KB undo-cross.png 2KB quit.png 2KB help.png 2KB delete.png 1KB color.png 1KB fit-width.png 1KB eye.png 1KB save.png 1KB zoom.png 1KB objects.png 1KB fit-window.png 1KB zoom-in.png 1KB edit.png 1KB zoom-out.png 1KB new.png 977B format_voc.png 786B file.png 765B format_yolo.png 675B copy.png 646B expert2.png 335B expert1.png 278B strings.properties 2KB strings-zh-CN.properties 2KB strings-zh-TW.properties 2KB resources.py 583KB labelImg.py 132KB utils.py 50KB datasets.py 36KB canvas.py 28KB yolo.py 11KB torch_utils.py 9KB post_process.py 7KB shape.py 6KB pascal_voc_io.py 6KB experimental.py 5KB labelFile.py 5KB yolo_io.py 5KB common.py 4KB google_utils.py 4KB setup.py 3KB export.py 3KB labelDialog.py 3KB utils.py 3KB stringBundle.py 2KB activations.py 2KB colorDialog.py 1KB settings.py 1KB toolBar.py 1KB test_io.py 1KB test_stringBundle.py 1KB combobox.py 967B hashableQListWidgetItem.py 784B test_settings.py 782B zoomWidget.py 780B test_utils.py 713B constants.py 643B ustr.py 532B test_qt.py 310B __init__.py 76B __init__.py 0B __init__.py 0B __init__.py 0B resources.qrc 2KB envsetup.sh 2KB build-windows-binary.sh 882B build-for-macos.sh 724B build-for-pypi.sh 680B build-ubuntu-binary.sh 656B run-in-container.sh 383B download_weights.sh 245B
save-as.svg 63KB共 117 条
- 1
- 2
资源评论
